Remote Sensing Technologies Center

Mississippi State University

Annual Report

2000-2001

Description of Center:

Mississippi State University established the Remote Sensing Technologies Center (RSTC) in 1999, focusing on applications of remote sensing in the areas of agriculture, forestry, transportation, and environmental assessment. The ultimate goal of the RSTC activities is to develop the enabling technologies that lead to products and methodologies using remote sensing that a producer, consultant, or resource manager can use as a primary basis for natural resource management systems. Advances in remote sensing computational technologies, new sensor technologies, and visual product development, combined with an integrated scientific approach to natural resource analysis and management, make this possible. The unique characteristics of Mississippi’s natural resource and economic development, along with the presence and commitment of Mississippi State University, NASA Stennis Space Center’s Commercial Remote Sensing Program (CRSP), and the commercialization activities of the Mississippi Space Commerce Initiative (MSCI), make the State of Mississippi an excellent laboratory for applications of remote sensing. The research focus areas named above are underpinned by the cross-cutting areas of computational modeling and education/outreach activities. In all these areas, MSU possesses research expertise and a clientele base of ‘end-users’ who are new stakeholders in NASA’s remote sensing programs.

The RSTC complements a larger effort by NASA’s CRSP to enhance U.S. economic competitiveness, reduce operational cost, and enhance NASA’s own Earth Science Program through the development of remote sensing technologies. As a result of a commitment to basic research in developing the understanding of phenomenology within a broad range of discipline areas, MSU has developed a highly characterized field laboratory analysis capability. In addition, the university’s research collaboration with USDA in developing agriculture and forestry production models, practices and systems is accelerating the movement of remote sensing capabilities to resource managers. Remote sensing technology and applications developed by CRSP partners (including MSU applications research scientists) are extensively tested through the assets and capabilities of the RSTC.

Technology revolutions have driven the expectations of remote sensing and decision systems to an all-time high for a new generation of natural resource managers. Advances in computational technologies, visualization products, and sensor technologies, combined with an integrated scientific approach to natural resource analysis and management, is the goal of this land-grant university. The RSTC capabilities provide the baselines and testing technologies necessary for market entry and establishment of customer confidence and acceptance.

The expected results of the RSTC activities are increased scientific quality, performance and usage of technologies related to remote sensing by the public and private sectors, including NASA’s Earth Science Enterprise programs. The RSTC complements the activities of NASA CRSP and MSCI by providing fundamental research that will result in the capability of developing, verifying, and validating applications. RSTC provides the key to acceptance and implementation of enhanced remote sensing technologies: moving from data to information to accepted product.

Overall Goals:

1. Develop capabilities that increase the understanding of remote sensing technology by linking image data to highly characterized in situ systems;

2. Validate applications of remote sensing technology to verify that products are responsive to customer needs, quantifiable, and replicable; and

3. Support acceptance of remote sensing through standardizing processes and develop a workforce.

Proposals Submitted:

National Aeronautical and Space Administration. “Developing Enabling Technologies for Remote Sensing Applications in Resource Management.” Funded at $15,000,000. D. R. Shaw.

University of Mississippi, “The Acquisition, Processing, and Investigation of Hyperspectral Imagery in Support of MSCI Companies." Funded at $350,000. R.L. King.

Mississippi Space Commerce Initiative. "Research Support for Space Imaging, Inc." Funded at $29,501. R.L. King.

Mississippi Space Commerce Initiative, “Support for Geospatial Extension Specialist.” Funded at $100,000. J. McGilberry and S. Samson.

National Aeronautics and Space Administration, Space Grant Program, “Support for Geospatial Extension Specialist.” Funded $98,000. J. McGilberry and S. Samson.

Mississippi Space Commerce Initiative, “Research Support for EarthWatch, Inc.” Funded 240,000. D. R. Shaw and R. L. King.

Mississippi Information Technology Services, “MS Statewide Information Management System Phase I Project.” Proposed at $246,000. D. R. Shaw and S. Samson.

National Aeronautics and Space Administration, State, Local, and Tribal Government Applications of Remote Sensing Broad Agency Announcement, “Completing the Extension: Delivering Validated Technologies to Precision Agriculture." Proposed at $450,000. D. R. Shaw, S. Samson, and K. Hood.

National Aeronautics and Space Administration, State, Local, and Tribal Government Applications of Remote Sensing Broad Agency Announcement, “Application of Satellite Imagery to Comply with State Ownership Mapping Requirements Including Documentation of Agricultural Land Usage and Infrastructure Change.” Proposed at $675,000. M. T. Allen, K. Smith, C. L. Hill, and S. E. Smith.

National Aeronautics and Space Administration, State, Local, and Tribal Government Applications of Remote Sensing Broad Agency Announcement, “An Integrated Approach to Providing Solutions to Management Problems and Policy Issues: Application of NASA’s Remote Sensing Science and Technology for the Mississippi Band of Choctaw Indians.” Proposed at 1,072,480. P. Martin, P. Anderson, R. L. Miller, J. F. Cruise, B. Hudnell, and D. Shaw.

US Department of Transportation. "Applications of Remote Sensing and Related Spatial Technologies to Environmental Assessments in Transportation." Funded at $3,000,000. D.R. Shaw, R.L. King, D. Truax.

Mississippi Space Commerce Initiative. "Research Support For Intermap Technologies, Inc." Funded at $50,000. R.L. King.

National Aeronautics and Space Administration. “Commercial Aerial Hyperspectral and Other Advanced Technologies Acquisition.” Funded at $1,000,000. D. R. Shaw and R. L. King.

Mississippi Space Commerce Initiative, “An Exploration of Methodologies to identify and Validate Correlations Between Remotely Sensed Land Use/Land Cover and Agricultural Activity Data and Probably Water Quality Impairment by Chemical Specific Pesticides.” Funded at $124,280. D. R. Shaw and J. Ballweber.

Infrastructure support for 5 proposals submitted to USDA IFAFS program in the Precision Agriculture section

Active Projects, 1999-2001 (all federally funded):

Determination and Demonstration of Remote Sensing Capabilities In Detecting and Monitoring Defoliation, Mortality and Disturbances Over Forested Landscapes (Nebeker) ($116,366)

Pilot Program for a Statewide Forest Monitoring and Information System (Evans, Belli, Matney, Parker, Schultz) ($893,040)

Exploration of Remote Sensing Applicability within Transportation (Usher, Bowden, Truax) ($494,456)

Computational Modeling Support to the Remote Sensing Technologies Center (King, Machiruju, Younan) ($886,496)

Spatial Statistics: Analytic Tools for Remote Sensing Research (Brown, Burger, Parker, Leopold) ($41,938)

Use of Remote Sensing Technologies to Evaluate Effects of Field Border Management on Economic Opportunity Costs, Arthropods, Weed Populations and Wildlife Habitat Value in Intensive Agricultural Production Systems of Mississippi (Burger, Stewart, Schneider, Shaw) ($249,477)

Detection and Site-Specific Control of Weeds Through Remote Sensing (Reynolds, Shaw) ($513,836)

Process-Based System for Reliable Remote Monitoring of Agronomic Plant Nutrition, Growth Regulation, Water Stress and Insect Pressure (Reddy, Tarpley, Whisler) ($474,139)

Remote Sensing Technology for Surveying Federal Noxious Weeds in Mississippi (Byrd, Ezell, Bryson) ($163,473)

Soil Characterization for Improved Utilization of Remote Sensing in Agriculture (Thomasson, To, Singh, Cox) ($678,691)

Determining Cotton Harvest-Aid Application Timing Based Upon Remotely Sensed Crop Data (Reynolds, Snipes) ($195,473)

Remote Sensing Applications in the Optimization of Cotton Nitrogen Fertilization (Varco, Salin, Bridges) ($576,410)

Inverse Scattering Techniques for the Recovery of Spatially Varying Properties in Agriculture and Forestry (Oppenheimer, Razzaghi) ($102,185)

Evaluation of Remote Sensing Technology for Prescription Application of Cotton Growth Regulators and Defoliants (Wills, Hanks) ($147,353)

Determination of Select Spectral Image Signatures Responsible for Corn and Soybean Disease Severity and Site-Specific Management (Baird) ($151,052)

Exploring the Feasibility of Remote Sensing for Detection of Variability In Soil Water, Crop Vigor and Yield with Tillage, Irrigation and Soil Type (Pringle, Sassenrath-Cole, Thomson) ($149,090)

Ground Based Sensor and Instrumentation Technology Assessment (King) ($60,829)

Remote Sensing Technology for Analyzing Competing Vegetation in Forest Management Areas (Ezell, Shaw, Byrd, Evans) ($144,118)

Exploring the Use of Geospatial Technologies in Mississippi’s Local Governments (Wiseman, Morris, Phillips, Smith) ($150,000)

Application of Remote Sensing Technology to Risk Management Decision Making in Agriculture (Tahai, Blair, Coble, Thomasson) ($179,595)

Remote Sensing of Key Factors in Cotton IPM (Harris, Robbins, Snodgrass, Watson) ($l87,711)

Enhancing Lidar-based Estimates of Forest Stand Structure Through Incorporation of Low-Altitude Hyperspectral Imagery (Roberts, Evans, Dean) ($113,349)

A Virtual Environment for Analyzing Remotely Sensed Forestry Data (Moorhead) ($168,981)

Utilization of Remote Sensed Data for Field Verification in the SMART Program (Thomas, Blaine) ($183,271)

Investment Under Uncertainty: Applications of Real Options Valuation To Investments in Remote Sensing Technology (Coble, Barnett, Hudson, House) ($157,900)

Economic Analysis of precision Farming & Remote Sensing Management (Tahai, Blair, Rogers) ($173,875)

Water and Crop-Yield Management Improvement with Data from Remote And Ground-Level Sensors (Thomasson, Shearer (KY), Pennington) ($75,000)

Active Projects, 2001-2004 (all federally funded):

Reduced Input Management of Plant Parasitic Nematodes on Cotton Using Hyperspectral Imagery and Site Specific Nematicide Applications. (Gary Lawrence) ($40,000)

Investment Under Uncertainty: Applications of Real Options Valuation to Investments in Remote Sensing Technology. (Keith Coble, Murat Isik, Darren Hudson) ($59,916)

Evaluation of Commercial Satellite Remote Sensing Satellite Systems to Identify, Delineate and Enumerate Corn, Cotton and Soybean Acreage in Mississippi. (Scott Samson, Thomas Gregory) ($174,470)

Analysis of Competing Vegetation in Forest Management Areas with the Utilization of Remote Sensing Technology. (Andy Ezell, David Shaw, John Byrd, David Evans ) ($59,676)

Establishing and Enhancing Research and Educational Activities for Agriculture and Natural Resources (subcontract with Purdue Research Foundation). (Chris Johansen - Subcontract) ($104,103)

Determination and Demonstration of Remote Sensing Capabilities in Detecting and Monitoring Defoliation, Mortality, and Disturbances. (Evan Nebeker) ($60,000)

Remote-sensing-based Agricultural System Characterization and Management with an Interdisciplinary Team Approach. (Alex Thomasson, Scott Stewart, Richard Baird, Dan Reynolds, Mike Cox, Aubrey Harris, Gene Wills) ($1,650,228)

Remote Sensing to Detect Harmful Algal Blooms in Catfish Ponds. (John Hargreaves, Craig Tucker, Paul Zimba) ($44,544)

Data Collection and Management Support to the Remote Sensing Technologies Center. (Roger King, Val Anantharaj) ($1,170,012)

Computational Modeling Support to the Remote Sensing Technologies Center. (Roger King, Lori Bruce, Nick Younan) ($989,910)

Assessment of Dedicated Computing Hardware for Remote Sensing Systems. (J. W. Bruce) ($44,544)

Yield Modeling and Risk Management with Remote Sensing and Other Spatial Data. (Alex Thomasson, Ali Tahai, Mark Shankle, Ed Barnes-Subcontract – USDA Arizona) ($1,109,806)

Remote Monitoring of Crop Physiology and Growth Parameters: Development and Validation of Reliable Algorithms. (K.R. Reddy, Lee Tarpley, John Read, James McKinion, Roger King, Alex Thomasson, Mike Cox) ($600,000)

Remote Sensing of Soil Physico-Chemical Properties and Their Use in Agricultural and Environmental Applications. (Joe Massey, Mike Cox, Seth Oppenheimer, Mohsen Razzaghi, William Kingery) ($507,737)

Use of Remote Sensing Technologies to Evaluate Effects of Field Border Management on Economic Opportunity Costs, Arthropods, Weeds, and Wildlife. (Wes Burger, Scott Stewart, David Shaw) ($261,430)

Determining Cotton Harvest-Aid Application Timing Based Upon Remotely Sensed Crop Data. (Dan Reynolds, Charles Snipes) ($328,806)

Detection and Site-Specific Control of Weeds Through Remote Sensing. (Dan Reynolds, David Shaw) ($686,950)

Automatic Determination of Tree Crown Shape, Volume, and Density Developed, Verified, and Visualized Using Virtual Environments. (Robert Moorhead, Scott Roberts, David Evans) ($281,463)

Remote-sensing and Ground-based Data for Analysis of Soil Texture and Surface Roughness. (Alex Thomasson, Filip To, J.P. Singh, P.R. Jang, Yi Su) ($300,123)

Remote Surveying of Two Federal Noxious Weeds in Mississippi. (John Byrd, Andy Ezell, Charles Bryson) ($138,402)

Utilization of Remote Sensed Data for Field Verification in the SMART Program. (Jim Thomas, Alan Blaine, Richard Baird, Normie buehring, Mark Shankle) ($740,002)

Number of Students Involved in Center Activities:

Undergraduates - 75

M.S. candidates - 31

Ph.D. candidates - 17

Post-doctoral Research Assistants - 9

Research Associates - 5

Scientists:

Ahmad, F., Assistant Professor of Engineering Technology, University of North Carolina-Charlotte

Baird, R., Assistant Professor of Plant Pathology

Barnett, B. J., Associate Professor of Agricultural Economics

Belli, K., Professor of Forestry, Biometrics

Blaine, M. A., Extension Soybean Specialist, Plant and Soil Sciences

Blair, B., Assistant Professor of Finance and Economics

Bowden, R., Associate Professor of Industrial Engineering

Brown, A. F., Continuing Education Coordinator, College of Forest Resources

Burger, W., Associate Professor of Wildlife and Fisheries

Byrd, J. D., Associate Professor of Weed Science

Coble, K. H., Associate Professor of Agricultural Economics

Cox, M. S., Associate Professor of Soil Science

Dean, T. J., Associate Professor of Forestry, Louisiana State University

Ebelhar, M. W., Agronomist, DREC

Evans, D., Associate Professor of Forestry

Ezell, A., Professor of Forestry

Freeland, T. B., Research Assistant, DREC

Hanks, J. E., USDA-ARS Agricultural Engineer

Harris, F. A., Entomologist, MAFES, DREC

House, L. O., Associate Professor of Agricultural Economics

Hudson, M. D., Associate Professor of Agricultural Economics

Jang, P., Research Scientist I, DIAL

King, R. L., Professor of Electrical and Computer Engineering

Kingery, W. L., Associate Professor of Soil Science

Matney, T., Professor of Forestry

McKinion, J. M., USDA-ARS Agricultural Engineer

Monts, D. L., Associate Professor, Physics, and Research Scientist II, DIAL

Moorhead, R., Associate Professor of Electrical and Computer Engineering

Nebeker, E., Professor of Entomology

Oldham, J. L., Assistant Extension Soils Specialist, Plant and Soil Sciences

Oppenheimer, S. F., Associate Professor of Mathematics and Statistics

Parker, R., Associate Professor of Forestry

Phillips, J., Research Scientist, Marketing, Stennis Institute of Government

Pringle, III, H. C., Agricultural Engineer, DREC

Razzaghi, M., Professor of Mathematics and Statistics

Read, J. J., USDA-ARS Agronomist

Reddy, K. R., Assistant Professor of Crop Science

Reynolds, D. B., Professor of Weed Science

Robbins, J., Assistant Entomologist, MAFES, DREC

Roberts, S. D., Associate Professor of Forestry

Rogers, K., Assistant Professor of Finance and Economics

Sassenrath-Cole, G. F., USDA/ARS Plant Physiologist

Schneider, J., Professor of Entomology

Schultz, E., Associate Professor of Forestry

Shaw, D. R., Professor of Weed Science and Director, RSTC

Shearer, S. A., Associate Professor, of Agricultural Engineering, University of Kentucky

Singh, J. Senior Research Scientist, DIAL

Smith, K. A., Research Scientist, Interdisciplinary studies, Stennis Institute of Government

Snipes, C. E., Plant Physiologist, DREC

Snodgrass, G. L., Research Entomologist, USDA, ARS

Stewart, S., Assistant Professor of Entomology

Su, Y., Research Scientist I, DIAL

Tahai, A., Professor of Marketing

Tarpley, L., Research Scientist, Department of Plant and Soil Sciences

Thomas, J. G., Leader and Specialist, Extension Agricultural Engineering

Thomasson, J. A., Associate Professor of Agricultural & Biological Engineering

Thomson, S. J., Research Agricultural Engineer, USDA, ARS

To, S. D. F., Associate Professor of Agricultural & Biological Engineering

Truax, D., Professor of Civil Engineering

Usher, J., Associate Professor of Industrial Engineering

Watson, C. E., Professor of Agronomy/Statistician

Watson, M., Assistant Research Scientist, Engineering Research Center

Wilkerson, W., Associate Professor of Landscape Architecture

Willers, J. L., Research Entomologist, USDA, ARS

Wills, G. D., Plant Physiologist, DREC

Winstead, C., Research Scientist II, DIAL

Wiseman, W. M., Director, Stennis Institute of Government

Younan, N. H., Associate Professor of Electrical & Computer Engineering

Major Awards/Recognitions:

Wes Burger, 2000 Faculty/Research Scientist/Engineer Award, Offices of the Vice President for Research and the Vice President for Agriculture, Forestry and Veterinary Medicine

Wes Burger, 2000 College of Forest Resources, Outstanding Teaching Award

Robert C. Parker, Schilling Special Teaching Project Award

David Shaw, 2000 Ralph E. Powe Research Award

David Shaw, Southern Weed Science Society, 2000 Weed Scientist of the Year

David Shaw, Top 25 Researcher, Mississippi State University, 1999, 2000

Seth Opphenheimer, Certificate of Merit for advising

Lisa O. House, Gamma Sigma Delta, Outstanding Teaching Award, 2000.

Roger King, University Level Research Center, Faculty Researcher of the Year – 2000

Roger King, Ralph E. Powe University Research Award, 2001

Roger King, Team Leader for 1^st Place Team in the International Data Fusion Contest conducted through the IEEE, presented at the International Geophysical and Remote Sensing Conference, 2000

Alan Brown, LERN International Award for Exemplary Continuing Education Programming

Robert Parker, Schillig Special Teaching Project Award

Nick Younan, Best Research Paper Award, College of Engineering, Mississippi State University, 2000

Journal Articles and Book Chapters

Chen, J., and J. A. Thomasson. 2000. Remote sensing for determining soil properties in precision agriculture. ASAE Paper No. 001091. St. Joseph, Mich.: ASAE.

Eggleston, Neil T., Watson, Margaret, Evans, David L., Moorhead, Robert J., and McCombs, John W. II, "Visualization of Multiple-Return Airborne lidar Data of a Forested Landscape," Computers and Electronics in Agriculture, Elsevier (first submission July 2000; in the process of revising manuscript).

Evans, D.L., S.D. Roberts, J.W. McCombs, and R.L. Harrington. (in press). Detection of Regularly Spaced Targets in Small-footprint LIDAR Data: Research Issues For Consideration. Photogrametric Engineering and Remote Sensing.

Hodges, H. F. and K. R. Reddy. 1999. The dandy designs of plant plumbing. In: Soybean Production in the Midsouth, L. G. Heatherly and H. F. Hodges (Eds.), CRC Press, New York, pp. 355-369.

Isik, M., K. Coble, D. Hudson, and L. House, “Investment under Uncertainty: Applications of Real Options Valuation to Agribusiness Investments in Remote Sensing Technologies”, Submitted to American Journal of Agricultural Economics.

Landivar, J. A., K. R. Reddy and H. F. Hodges. 2001. Physiological simulation of cotton growth and yield. In: Cotton Physiology: Book 2, Mc. D. Stewart, D. M. Oosterhuis, and J. J. Heitholt (Eds.), National Cotton Council of America, Cotton Foundation, Memphis, TN. (In Press).

Medlin, C. R., and D. R. Shaw. 2000. Economic comparison of broadcast and site-specific herbicide applications in non-transgenic and glyphosate-tolerant soybean (Glycine max). Weed Sci. 48:in press.

Medlin, C. R., D. R. Shaw, P. D. Gerard, and F. E. LaMastus. 2000. Using remote sensing to detect weed infestations in soybean (Glycine max). Weed Sci. 48:in press.

Rebetzke, G.J., J.J. Read, M.M. Barbour, A.G. Condon, and H.M. Rawson. 2000. A hand-held porometer for rapid assessment of leaf conductance in wheat. Crop Science 40:277-280.

Read, J. J., L. Tarpley, J. M. McKinion, and K. R. Reddy. 2001. Narrow-waveband reflectance ratios for remote estimation of nitrogen stress in cotton canopies. Journal of Environmental Quality, In Press.

Reddy, K. R, G. Davidonis, A. Johnson and B. Vinyard. 1999. Temperature regime and carbon dioxide enrichment alters cotton boll development and fiber properties. Agronomy Journal. 91: 851-858.

Reddy, K. R. and H. F. Hodges (Eds.). 2000. Climate Change and Global Crop Productivity. CAB International, UK (21 Chapters, 472 pages).

Reddy, K. R. and H. F. Hodges (Eds.). 2000. Climate Change and Global Crop Productivity. CAB International, UK, Preface, xv-xvi.

Reddy, K. R. and H. F. Hodges. 2000. Climate change and global crop productivity: an overview. In: Climate Change and Global Crop Productivity, Reddy, K. R. and H. F. Hodges (Eds.), CAB International, UK, Chapter 1, p. 1-5.

Reddy, K. R. and H. F. Hodges. 2001. Exploring the limitations to cotton growth and yield. Field Crops Research (In Press).

Reddy, K. R., and H. F. Hodges. 2001. Modeling crop responses to plant growth regulators In: Crop Modeling Processes in the Soil-Plant System: Concepts and Applications" edited by D. K. Benbi and Nieder, Haworth's Food Products Press, New York (In Press).

Reddy, K. R., H. F. Hodges and B. A. Kimball. 2000. Crop Ecosystem Responses to Global Climate Change: Cotton. In: Climate Change and Global Crop Productivity, Reddy, K. R. and H. F. Hodges (Eds.), CAB International, UK Chapter 8, p. 161-187.

Samonte, S.O. PB., L.T. Wilson, L. Tarpley, L., and A.M. McClung. 2001. Seasonal dynamics of nonstructural carbohydrate partitioning in 15 diverse rice (Oryza sativa L.) genotypes. Crop Sci. (In Press).

Sassenrath-Cole, G. F., Alarcon, V. J., Pringle, H. C., Thomson, S. J. Deployment of a thermal sensing system on a moveable tracking device for field monitoring. In prep.

Shaw, D.R., and C.L. Hill. 2000. Precision agriculture and remote sensing. Space 2000 Conf. , Am. Civil Eng. Soc., pp. 202-207

Shearer, S. A., J. A. Thomasson, T. F. Burks, T. Mueller, J. P. Fulton, D. Gilbert, S. G. Higgins. 1999. Yield prediction using a neural network classifier trained using soil landscape features and soil fertility data. ASAE Paper No. 993041. St. Joseph, Mich.: ASAE.

Simpson, A. J., J. Burdon, C.L. Graham, N. Spencer, M. H. B. Hayes, and W. L. Kingery. 2000. Interpretation of heteronuclear and multidimensional NMR spectroscopy as applied to humic substances. European Journal of Soil Science. (In Press).

Tarpley, L., Reddy, R., and Sassenrath-Cole, G. F. Reflectance indices with precision and accuracy in predicting cotton leaf nitrogen concentration. Crop Science (In Press).

Tarpley, L., and G. F. Sassenrath-Cole. 2000. Environmental and physiological components of the cotton leaf reflectance spectrum. Crop Sci. (In press).

Tarpley, L., K.R. Reddy, and G.F. Sassenrath-Cole. 2000. Reflectance indices with precision and accuracy in predicting cotton leaf nitrogen concentration. Crop Sci. 41: 1814-1819.

Whisler, F. D., K. R. Reddy and H. F. Hodges. 1999. Use of models in soybean production. In: Soybean Production in the Midsouth. L. G. Heatherly and H. F. Hodges (Eds.), CRC Press, New York. pp. 371-382.

Willers, J.L., D.C. Akins. 2000. Sampling tarnished plant bugs in cotton. Southwestern Entomologist: Special Supplement. 23. 39-57.

Willers, J.L., M.R. Seal, R.G. Luttrell. 2000. Remote sensing, line intercept sampling for tarnished plant bugs (Heteroptera: Miridae) in mid-south cotton. Journal Cotton Science 3: 160-170.

Wilson, C., J.J. Read, and E. Abo-Kassem. 2001. Effect of mixed-salt salinity on growth and ion relations of Chenopodium quinoa (Willd.) and Triticum aestivum (L.). Plant and Soil: (in press).

Wooten, J. R., D. C. Akins, J. A. Thomasson, S. A. Shearer, and D. A. Pennington. 1999. Satellite imagery for crop stress and yield prediction: cotton in Mississippi. ASAE Paper No. 991133. St. Joseph, Mich.: ASAE.

Zhai, Y., and J. A. Thomasson. Intelligent algorithms distinguish soil patterns from remote-sensing data. ASAE Paper No. 003052. St. Joseph, Mich.: ASAE.

Manuscripts in Preparation:

Alarcon, V. J., Sassenrath-Cole, G. F., Pringle, III, H. C. Synthetic imagery of cotton crops.

Alarcon, V. J., Sassenrath-Cole, G. F., Pringle, III, H. C. Reflectance spectra of turgid, dehydrated, and wilted cotton leaves.

Bridges, Susan M., Liangjiang Wang, Jac J. Varco, and Lois E. Boggess. 2000. Classification of nutrient status from reflectance spectra using neural networks. In preparation for submission to the journal Remote Sensing in the Environment.

Buscaglia, H. J., and J. J. Varco. 200X. Early detection of cotton leaf nitrogen status using leaf reflectance. J. Plant Nutr.

McCombs, J.W., S.D. Roberts, and D.L. Evans. Influence of fusing lidar and multispectral imagery on remotely sensed estimates of stand density and mean tree height. Submitted to Forest Science.

Reddy, K. R., J. J. Read, J. T. Baker, J. M. McKinion, L. Tarpley, H. F. Hodges and V. R. Reddy. 2001. Soil-Plant-Atmosphere-Research (SPAR) Facility - a tool for plant research and modeling. Biotronics, Submitted.

Roberts, S.D., T.J. Dean, and D.L. Evans. Leaf area estimates derived from crown dimensional characteristics in Pinus taeda

Simpson, A. J., W. L. Kingery, M. Spraul, E. Humpfer, P. Dvortsak, 2000. The application of HR-MAS NMR to the study of whole soils and humic substances. Geochimica et Cosmochimica Acta.

Simpson, A.J., W. L. Kingery, M. H. B. Hayes, M. Spraul, E. Humpfer, P. Dvortsak, R. Kerssebaum, M. Godejohann, M. Hofmann. 2000. The structure and associations of organic molecules in the terrestrial environment. Organic Geochemistry.

Simpson, A. J., M. J. Salloum, W. L. Kingery, and P. G. Hatcher. 2000. Improvements in 2-D NMR spectroscopy of humic substances. Journal of Environmental Quality.

Simpson, A. J., M. J. Salloum, W. L. Kingery, and P. G. Hatcher. 2000. Simplifying two-dimensional NMR spectrometry of humic substances through one-dimensional projections. Applied Geochemistry.

Thomasson, J. A., J. Chen, J. R. Wooten, and S. A. Shearer. 2001. Remote sensing for predicting cotton yield. In: Proc. Beltwide Cotton Conf. (in press). Memphis, TN: National Cotton Council of America.

Thomson, S. J., Hanks, J. E., Sassenrath-Cole, G. F. 2001. Continuous geo-referencing for video-based remote sensing on agricultural aircraft. Submitted to Transactions of the ASAE.

Trejo, C., Real options: Understanding the basic concepts, forthcoming, working paper, Department of Agricultural Economics, Mississippi State University.

Theses/Dissertations:

Lough, Jennifer L. 2000. Effects of varying nitrogen and potassium nutrition on spectral reflectance and physiological properties of cotton. M.S. Thesis.

Buscaglia, Horacio. 2000. Spatial analysis of soil fertility and application of remote sensing for site-specific cotton production. Ph.D. Dissertation.

C. T. Leon. 2001. Crop Monitoring Utilizing Remote Sensing, Soil Parameters, and GPS Technolgies. M.S. Thesis.

C. R. Medlin. 1999. Weed Distribution Relative to Soil Factors, Remote Sensing, and Expert System Economic Analysis. Ph.D. Dissertation.

Yue, Xiaozhen. 2000. Using a neural network ensemble and ROC for prediction of nitrogen deficiency from reflectance spectra. M.S. Thesis.

Papers and Abstracts in Proceedings

Arnold, J.C., D.B. Reynolds, K.M. Bloodworth, and S.L. File. 2000. Evaluation of new cotton (gossypium hirsutum) harvest aids. Beltwide Cotton Conf. (in press).

Arnold, J.C., D.B. Reynolds, W.F. Bloodworth. 2000. The use of remote sensing technologies in weed science. Proc. South. Weed Sci. Soc. 53: (in press).

Arnold, J.C., D.B. Reynolds, K.M. Bloodworth, and S.L. File. 2000. Evaluation of new cotton (gossypium hirsutum) harvest aids. Beltwide Cotton Conf. (in press).

Arnold, J.C., D.B. Reynolds, W.F. Bloodworth. 2000. The use of remote sensing technologies in weed science. Proc. South. Weed Sci. Soc. 53: (in press).

Barnett, Jr., J.W., J.D. Byrd, Jr., L.M. Bruce, A.W. Ezell, J.Li, D.B. Mask, and B.F. Montgomery, Automated classification of Kudzu (Puerariau montana) using hyperspectral reflectance data, Proc. South. Weed Sci. Soc., (in press).

Bennett, H.H., N.H. Younan, R.L. King, Nearest neighbor analysis of hyperspectral data, Proceedings of the 5^th International Conference on Precision Agriculture, July 16-19, 2000.

Birk, R. J. and R. L. King, ESE applications in the Agriculture and Forestry markets, Earth Observation Magazine, pp. 38-41, April 1999.

Bloodworth, K. M., L.M. Bruce, C.D. Rowland, and D.B. Reynolds, Detection, classification, and quantification of herbicide drift utilizing spectral signatures, Proc. South. Weed Sci. Soc., (in press).

Bloodworth, K.M., L.M. Bruce, C.D. Rowland, and D.B. Reynolds, Detection, classification, and quantification of herbicide drift utilizing spectral data, Proc. Beltwide Cotton Conference (in press).

Bloodworth, K.M., L.M. Bruce, C.D. Rowland, and D.B. Reynolds. 2001. Detection, classification, and quantification of herbicide drift utilizing spectral data. Beltwide Cotton Conference (in press).

Bloodworth, W.F., J.C. Sanders, A. Rankins Jr., and D.B. Reynolds. 2001. Validation of computerized cotton weed control recommendations in Mississippi. Beltwide Cotton Conference (in press).

Bloodworth, K.M., L.M. Bruce, C.D. Rowland, and D.B. Reynolds. 2001. Detection, classification, and quantification of herbicide drift utilizing spectral signatures. Proc. South. Weed Sci. Soc. 53: (in press).

Bloodworth, W.F., A. Rankins Jr., and D.B. Reynolds. 2001. Validation of MSU-HADSS cotton weed control recommendations in Mississippi. Proc. South. Weed Sci. Soc. 53: (in press).

Bray, C.S., D.R. Shaw, A.J. Mills, and T.H. Koger. 2000. Remote sensing of soybean response to postemergence herbicides. Proc. South. Weed Sci. Soc. 53: (in press).

Bray, C.S., D.R. Shaw, A.J. Mills, and C.T. Leon. 2000. Remote sensing of cotton injury and growth with variable herbicides and tillage. Proc. South. Weed Sci. Soc. 53: (in press).

Bruce, L., N. Younan, and R.L. King, Hyperspectral image analysis, Proceedings of the 2001 ASPRS Annual Conference, April 23-27, 2001, St. Louis, MO.

Bruce, L.M., J. Li, Wavelets for computationally efficient hyperspectral derivative analysis, IEEE Trans. Geoscience and Remote Sensing (in press).

Bruce, L.M., C. Morgan, S. Larsen, Automated detection of subpixel targets with continuous and discrete wavelet transforms, IEEE Trans. Geoscience and Remote Sensing (in press).

Buscaglia, H. J., J. J. Varco, J. M. Thompson, and M. R. Seal. 1999. Relationship of field scale nitrogen variability to soil properties and remotely sensed characteristics. In Proc. 1999 Beltwide Cotton Conf., Orlando, FL. 3-7 Jan. 1999.

Dupont, J.K., J.L. Willers, R. Campanella, M.R. Seal, K.B. Hood, J. Williams, D. Woodward. 2000. Employment of spatially variable insecticide applications for tarnished plant bug control in cotton. Proc. Beltwide Cotton Conferences 2000. p. 1133.

Eggleston, Neil T., Watson, Margaret, Evans, David L., Moorhead, Robert J., and McCombs, John W. II, Visualization of airborne multiple-return lidar imagery from a forested landscape, In Proceedings of the Second International Conference of Geospatial Information in Agriculture and Forestry, ERIM International, Inc., Ann Arbor, Michigan, Vol. I, January 2000, pp. 470-477.

Hanks, J. E., G. D. Wills, and E. J. Jones. 2001. Evaluation of remote sensing for plant growth regulator and defoliant applications. Proceedings Beltwide Cotton Conference (in press).

Harris, F. A., D. L. Sudbrink Jr., J. E. Hanks, and J. Willers. 2000. Site-specific management: A new tool for pest management? Proceedings of the Cotton Incorporated Crop Management Seminar, Memphis, TN. Nov. 16-17, 2000. Pp. 32-38.

Henry, W.B., D. R. Shaw, K. R. Reddy, L. M. Bruce, and M. C. Smith, 2001. Detection of moisture stress using hyperspectral reflectance data from common cocklebur, sicklepod, and soybean, Weed Sci. Soc. Am. Abst., vol. 41, pp. 316, 2001 (in press).

.Hudson, D., L. House, B. Barnett and M. Isik, GPS, Inc.: A Case of investment under uncertainty, paper presented at the Maple Leaf Conference on Case Studies, June 23, 2001, Sydney, Australia.

King, R. L., M. Cox, and P. Pradhan, Measuring reflectance of soil surface roughness with a field goniometer, Proceedings of the IEEE 2001 International Geoscience and Remote Sensing Symposium, July 9-13, 2001, Sydney, Australia.

King, Roger L., Challenges associated with high spatial and spectral resolution imagery, Proceedings of the IEEE 2000 International Geoscience and Remote Sensing Symposium, Vol. 6, pp. 2602 -2604, Honolulu, HI, July 24-28, 2000.

King, R. L. P. Pradhan, M. S. Cox, and J. W. Jenner, Comparing measured reflectance of various soil surface roughnesses with a field goniometer, Proceedings of the 5^th International Conference on Precision Agriculture, July 16-19, 2000.

King, R.L., C. Ruffin, L. Lamastus, and D. Shaw, Classification of weed species using self-organizing maps, Proceedings of the 2^nd International Conference on Geospatial Information in Agriculture and Forestry, Vol. II, pp. 151-158, January 10-12, 2000, Lake Buena Vista, FL, Erim International.

King, Roger L., Chris Ruffin, F. Elizabeth Lamastus, and David R. Shaw, The analysis of hyperspectral data using savitzky-golay filtering – practical issues (Part 2), Proceedings of the IEEE 1999 International Geoscience and Remote Sensing Symposium, Vol. 1, 398-400, Hamburg, Germany, June 28 – July 2, 1999.

King, R. L., C. Ruffin, F. E. LaMastus, and D. R. 1999. The analysis of hyperspectral data using savitzky-golay filtering – practical issues. Proc. IEEE Int. Geosci. Remote Sensing Symp. IEEE Catalog No. 99CH36293C.

Koger, T.H., D.R. Shaw, L.M. Bruce, W.B. Henry, Influence of weed patch size on remotely sensed detection of pitted morningglory (Ipomoea lacunosa) in soybean, Weed Sci. Soc. Am. Abst., Vol. 41, 00.95, 2001.

Koger, T.H., D.R. Shaw, L.M. Bruce, W.B. Henry, 2001. Influence of weed patch size on remotely sensed detection of pitted morningglory (Ipomoea lacunosa) in soybean Proc. South. Weed Sci. Soc., (in press).

Koger, T.H., D.R. Shaw, K.R. Reddy, and C.S. Bray. 2000. Influence of cover crop residues and soybean row spacing on weed direction with remote sensing. Proc. South. Weed Sci. Soc. 53: (in press).

Koger, T.H., D.R. Shaw, and M.C. Smith. 2000. Reflectance patterns of grass and legume cover crop residues in soybean. Weed Sci. Soc. Am. Abst. 40: (in press).

Koger, T.H., D.R. Shaw, L.M. Bruce, and C.S. Bray, Reflectance dynamics of cover crop residue, tillage, and soybean row spacing, Proc. South. Weed Sci. Soc.

LaMastus, F. E., D. R. Shaw, and M. W. Shankle. 1999. Remote sensing as a tool for detecting weed distributions. Proc. South. Weed Sci. Soc. 52:161.

LaMastus, F.E., D.R. Shaw, and M.C. Smith. 2000. Comparison of grid sizes for accurately describing weed populations. Proc. South. Weed Sci. Soc. 53: (in press).

Leon, C.T., D.R. Shaw, and S.B. Blanche. 2000. Crop monitoring using remote sensing and GPS technologies. Proc. South. Weed Sci. Soc. 53: (in press).

Leon, C.T., D.R. Shaw, C.E. Watson, L.M. Bruce, and T.H. Koger, 2001. Spectral response of crops due to interference from purple and yellow nuts edge, Proc. South. Weed Sci. Soc., (in press).

Lough, J. L., and Jac J. Varco. 1999. Effects of varying N and K nutrition on the spectral reflectance properties of cotton. Annual meeting of American Society of Agronomy, Salt Lake City, Utah October 31-November 4, 1999. Agron. Abstr. 91:261.

Mask, D.B., J.D. Byrd, Jr., J.W. Barnett, Jr., L.M. Bruce, and Y. Huang, 2001. Automated classification of cogongrass (Imperata cylindrica) using hyperspectral reflectance data. Proc. South. Weed Sci. Soc., (in press).

McKinion, J. M., J. N. Jenkins, J. J. Read, L. Tarpley and K. R. Reddy. 2000. Hyperspectral indices for determining potassium stress in cotton. Proceeding of SPIE, The International Society for Optical Engineering (SPIE), Massachusetts, USA (in process).

Medlin, C.R., D.R. Shaw, M.S. Cox, and P.D. Gerard. 2000. Site-specific weed management: Potential for increasing production profitability. Proc. South. Weed Sci. Soc. 53: (in press).

Medlin, C. R., D. R. Shaw, M. S. Cox, P. D. Gerard, and F. E. LaMastus. 1999. Weed dispersal and soil relationships described by statistical analysis techniques. Proc. South. Weed Sci. Soc. 52:166.

Null T., L. Wasson, and R.L. King, TRWIS III hyperspectral data acquisition campaign, Proceedings of the 2001 ASPRS Annual Conference, April 23-27, 2001, St. Louis, MO.

Peterson, W. M., and J. J. Varco. 2001. Utilization of remote sensing to detect fertilizer nitrogen effects on cotton growth. In Proc. 2001 Beltwide Cotton Conf., Anaheim, CA. 9-13 Jan. 2001.

Reddy, K. R., H. F. Hodges and Jac Varco. 2000. Potassium nutrition of cotton. Mississippi Agricultural and Forestry Experiment Station Bulletin No. 1095, Mississippi State, Mississippi. pp. 10.

Reynolds, D.B., L.M. Bruce, J.C. Sanders, and E.L. Sanders, Spectral classification and identification of weed and crop species, Proc. Beltwide Cotton Conference (in press).

Reynolds, D.B., L.M. Bruce, and E.L. Sanders. 2001. Spectral classification and identification of weed and crop species. Beltwide Cotton Conference (in press).

Ruffin, Chris and Roger L. King, The analysis of hyperspectral data using savitzky-golay filtering – theoretical basis (part 1), Proceedings of the IEEE 1999 International Geoscience and Remote Sensing Symposium, Vol 2, pp. 756-758, Hamburg, Germany, June 28 – July 2, 1999.

Sanders, E.L., L.M. Bruce, and D.B. Reynolds, Species differentiation with spectral images, Proc. South. Weed Sci. Soc.

Sanders, J.C., L.M. Bruce, and D.B. Reynolds, Utilization of spectral images and COTMAN to optimize cotton defoliation timing, Proc. South. Weed Sci. Soc. (in press).

Sanders, J.C., L.M. Bruce, and D.B. Reynolds, Crop monitoring and defoliation timing via spectral data and cotman, Proc. Beltwide Cotton Conference.

Sanders, E.L., L.M. Bruce, and D.B. Reynolds. 2001. Species differentiation with spectral images. Proc. South. Weed Sci. Soc. 53: (in press).

Sequeira, R., E. Jallas, and R.L. King, Emerging technologies for agricultural management: Application of artificial intelligence methods for knowledge discovery in Agriculture, Planetary Garden 99, pp. 141-146, March 14-18, 1999, Chambery, France.

Shaw, D.R. 2000. Remote sensing as a tool for site-specific weed management. Proc. South. Weed Sci. Soc. 53: (in press).

Shaw, D.R. 2000. Land-grant university research program in remote sensing applications in agriculture. Second Int. Conf. on Prec. Agric. and Remote Sensing, Orlando, FL.

Shearer. S. A., R. L. Hoskinson, R. K. Fink, T. Mueller, J. A. Thomasson, J. P. Fulton, S. F. Higgins, and W. D. Ellis. 2000. Use of the decision support system for Agriculture (DSS4Ag) for corn fertilization in Kentucky. In: Proc. 5^th Intl. Conf. Precision Agriculture and Other Resource Mgt., P.C. Robert et al. eds. Madison, Wisc.: American Society of Agronomy, Crop Science Society of America, Soil Science Society of America.

Simpson, A. J., W. L. Kingery, M. H. B. Hayes, M. Spraul, E. Humpfer, P. Dvortsak, R. Kerssebaum, M. Godejohann, and M. Hofmann. 2000. The application of novel NMR to whole soils and humic substances. In Proc. 41st Annual Experimental Nuclear Magnetic Resonance Conf., p. 138.

Smith, M.C., D.R. Shaw, F.E. LaMastus, and W.B. Henry. 2000. How species and population densities influence spectral reflectance and detection capabilities of weeds with remote sensing. Weed Sci. Soc. Am. Abst. 40: (in press).

Sudbrink, D. L., F. A. Harris, J. T. Robbins, and P. J. English. 2001. Remote sensing and site-specific management of cotton arthropods in the Mississippi Delta. Proc. 2001 Beltwide Cotton Conf., Anaheim, CA. (in press).

Sudbrink, D. L., F. A. Harris, J. T. Robbins, G. L. Snodgrass, and S. J. Thomson. 2000. Remote sensing of late-season pest damage to cotton & wild host plants of tarnished plant bug in the Mississippi Delta. Proc. 2000 Beltwide Cotton Conf., San Antonio, TX. p. 1220-1223.

Sudbrink, D. L., F. A. Harris, J. T. Robbins, and G. L. Snodgrass. 1999. Remote Sensing of late-season cotton pests in the Mississippi Delta. The Firefly. 14:19.

Thomasson, J. A., J. Chen, J. R. Wooten, S. A. Shearer, and D. A. Pennington. 2000. Cotton yield prediction improvement with remote sensing. In: Proc. Beltwide Cotton Conf., P. Dugger and D. Richter eds., 419-421. Memphis, TN: National Cotton Council of America.

Thomasson, J. A., R. X. Sui, and D. C. Akins. 2000. Spectral changes in picked cotton leaves with time. In: Proc. 5^th Intl. Conf. Precision Agriculture and Other Resource Mgmt., P.C. Robert et al. eds. Madison, Wisc.: American Society of Agronomy, Crop Science Society of America, Soil Science Society of America.

Thomasson, J. A., R. Sui, D. C. Akins. Soil reflectance sensing for determining soil properties in precision agriculture. ASAE Paper No. 001044. St. Joseph, Mich.: ASAE. (Also in review for Transactions of the ASAE)

Thompson, J. M., J.J. Varco, and M. R. Seal. 1999. Formulating decision support factors for variable rate nitrogen fertilization. In Proc. 1999 Beltwide Cotton Conf., Orlando, FL. 3-7 Jan. 1999.

Thompson, John M., and Jac J. Varco. 1999. N-triguing. Prec. Ag. Ill. Spec. Insert Remote Sensing:A Season of Learning. Aug. p 10-12.

Vickery, J. and R.L. King, Radiometric corrections of TRWIS III imagery, Proceedings of the 2001 ASPRS Annual Conference, April 23-27, 2001, St. Louis, MO.

Wang, J. and R. L. King, A wavelet based algorithm for pan sharpening landsat 7 imagery, Proceedings of the IEEE 2001 International Geoscience and Remote Sensing Symposium, July 9-13, 2001, Sydney, Australia.

Wang, Liangjiang, Susan M. Bridges, Lois C. Boggess, and Jac. J. Varco. 2000. Neural network classification of leaf reflectance spectra for predicting nutrient deficiency of cotton. Proceedings of ANNIE 200—Smart Engineering System Design: Neural Networks, Fuzzy Logic, Evolutionary Programming November 5-8 2000, St. Louis, MO.

Watson, M., Eggleston, N., Irby, D., Moorhead, R., and Evans, D., A virtual reality interface for analyzing remotely sensed forestry data, in SIGGRAPH 2000 Conference Abstracts and Applications Catalog and CD-ROM, Sketches & Applications, 2000, p. 273.

Willers, J. L., Ladner, W. L., McKinion, J. M., and Cooke, W. H. 2000. Application of computer intensive methods to evaluate the performance of a sampling design for use in cotton insect pest management. Pp. 119-133. Proc. Applied Stat. Agric., Kansas State Univ., Manhattan. (refereed proceedings).

Younan, N.H., R.L. King and H.H. Bennett, Hyperspectral data analysis using wavelet-based classifiers, Proceedings of the IEEE 2000 International Geoscience and Remote Sensing Symposium, Vol. 1, pp. 390 –392 Honolulu, HI, July 24-28, 2000.

Yue, Xiaozhen, Susan M. Bridges, Jac J. Varco, and Horacio Buscaglia. 1999. Predicting nitrogen deficiencies in cotton from reflectance spectra using a neural network ensemble. In Proceedings of the 1999 National Remote Sensing Applications Conference and Workshop held November 17-19, 1999 at Auburn University. Published as a CD.

Presentations

Arnold, J.C., D.B. Reynolds, K.M. Bloodworth, and S.L. File. 2000. Evaluation of new cotton (gossypium hirsutum) harvest aids. Beltwide Cotton Conf.

Arnold J.C., D.B. Reynolds, W.F. Bloodworth. 2000. The use of remote sensing technologies in weed science. South. Weed Sci. Soc.

Arnold, J.C., D.B. Reynolds, K.M. Bloodworth, and S.L. File. 2000. Evaluation of new cotton (gossypium hirsutum) harvest aids. Beltwide Cotton Conf.

Arnold J.C., D.B. Reynolds, W.F. Bloodworth. 2000. The use of remote sensing technologies in weed science. South. Weed Sci. Soc.

Bennett, H.H., N.H. Younan, R.L. King, Nearest neighbor analysis of hyperspectral data, 5^th International Conference on Precision Agriculture, July 16-19, 2000.

Bloodworth, K.M., L.M. Bruce, C.D. Rowland, and D.B. Reynolds, Detection, classification, and quantification of herbicide drift utilizing spectral signatures, South. Weed Sci. Soc.

Bloodworth, K.M., L.M. Bruce, C.D. Rowland, and D.B. Reynolds, Detection, classification, and quantification of herbicide drift utilizing spectral data, Beltwide Cotton Conference.

Bloodworth, K.M., L.M. Bruce, C.D. Rowland, and D.B. Reynolds. 2001. Detection, classification, and quantification of herbicide drift utilizing spectral data. Beltwide Cotton Conference.

Bloodworth, W.F., J.C. Sanders, A. Rankins Jr., and D.B. Reynolds. 2001. Validation of computerized cotton weed control recommendations in Mississippi. Beltwide Cotton Conference.

Bloodworth, K.M., L.M. Bruce, C.D. Rowland, and D.B. Reynolds. 2001. Detection, classification, and quantification of herbicide drift utilizing spectral signatures. South. Weed Sci. Soc.

Bloodworth, W.F., A. Rankins Jr., and D.B. Reynolds. 2001. Validation of MSU-HADSS cotton weed control recommendations in Mississippi. South. Weed Sci. Soc.

Bray, C.S., D.R. Shaw, A.J. Mills, and T.H. Koger. 2000. Remote sensing of soybean response to postemergence herbicides. South. Weed Sci. Soc.

Bray, C.S., D.R. Shaw, A.J. Mills, and C.T. Leon. 2000. Remote sensing of cotton injury and growth with variable herbicides and tillage. South. Weed Sci. Soc.

Bruce, L., N. Younan, and R.L. King, Hyperspectral image analysis, 2001 ASPRS Annual Conference, April 23-27, 2001, St. Louis, MO.

Bruce, L.M., J. Li,, Wavelets for computationally efficient hyperspectral derivative analysis, IEEE Trans. Geoscience and Remote Sensing.

Bruce, L.M., C. Morgan, S. Larsen, Automated detection of subpixel targets with continuous and discrete wavelet transforms, IEEE Trans. Geoscience and Remote Sensing.

Buscaglia, H. J., J. J. Varco, J. M. Thompson, and M. R. Seal. 1999. Relationship of field scale nitrogen variability to soil properties and remotely sensed characteristics. Beltwide Cotton Conf., Orlando, FL. 3-7 Jan. 1999.

Dean, T.J., S.D. Roberts, and D.L. Evans. 2000. Leaf area estimates of loblolly pine forests from aerial lidar imaging. Paper delivered at: Louisiana Remote Sensing and Geographic Information Systems Workshop. Baton Rouge, LA.

Doma, P. R., K. R. Reddy, A. G. Richardson and M. L. Boone. 2000. Impact of climate change on Mississippi cotton production. American Society of Agronomy, 5-9 November, Minneapolis, MN.

Doma, P. R., K. R. Reddy, L. Tarpley, M.-H.Chen, J. J. Read and M. Y. L. Boone. 2000. Cotton physiology as affected by leaf and canopy aging. Beltwide Cotton Conferences, 5-8 January 2000, San Antonio, TX.

Dupont, J. K., R. Campanella, J. Willers, and K. Hood. 2000. Spatially variable insecticide application through remote sensing. Beltwide Cotton Prod. Res. Conf., San Antonio, TX. 4-9 Jan. 2000.

Dupont, J. K., Willers, J. L., Campenella, R., Seal, M. R., and Hood, K. B. Spatially variable insecticide applications through remote sensing. Beltwide Cotton Prod. Res. Conf., San Antonio, TX. 2000.

Dupont, J. K., Willers, J. L., Seal, M. R., and Hood, K. B. Spatially variable insecticide in cotton production: The role for remote sensing. Second Internatl. Conf., Geospatial Information in Agriculture and Forestry, Lake Buena Vista, FL. 2000.

Eggleston, Neil T., Watson, Margaret, Evans, David L., Moorhead, Robert J., and McCombs, John W. II, Visualization of airborne multiple-return lidar imagery from a forested landscape. Second International Conference of Geospatial Information in Agriculture and Forestry, ERIM International, Inc., Ann Arbor, Michigan, Vol. I, January 2000.

Evans, D.L. A Scalable Forest Inventory System: Results of the pilot study for Mississippi. Mississippi Forestry Association, Oct. 26, 2000.

Glass, P.A., K .L. Belli and R. C. Parker. Electronic forest inventory equipment: performance and problems. Southern Biometricians Conference, Nov. 27-29, 2000.

Glass, P. A. 2001. A scalable forest inventory system: Results of the pilot study for Mississippi. U.S.D.A. Forest Service: Mississippi Cooperative Forestry Program Review, Feb. 2001.

Hanks, J. E., G. D. Wills, and E. J. Jones. 2001. Evaluation of remote sensing for plant growth regulator and defoliant applications. Beltwide Cotton Conference.

Harris, F. A., D. L. Sudbrink Jr., J. E. Hanks, and J. Willers. 2000. Site-specific management: A new tool for pest management? Cotton Incorporated Crop Management Seminar, Memphis, TN. Nov. 16-17, 2000.

Henry, W.B., D. R. Shaw, K. R. Reddy, L. M. Bruce, and M. C. Smith. 2001. Detection of moisture stress using hyperspectral reflectance data from common cocklebur, sicklepod, and soybean, Weed Sci. Soc. Am.

Hudson, D., L. House, B. Barnett and M. Isik, GPS, Inc.: A case of investment under uncertainty, paper presented at the Maple Leaf Conference on Case Studies, June 23, 2001, Sydney, Australia.

King, R. L., M. Cox, and P. Pradhan, Measuring reflectance of soil surface roughness with a field goniometer. IEEE 2001 International Geoscience and Remote Sensing Symposium, July 9-13, 2001, Sydney, Australia.

King, R. L. P. Pradhan, M. S. Cox, and J. W. Jenner, Comparing measured reflectance of various soil surface roughnesses with a field goniometer, 5^th International Conference on Precision Agriculture, July 16-19, 2000.

King, R.L., C. Ruffin, L. Lamastus, and D. Shaw, Classification of weed species using self-organizing maps, 2^nd International Conference on Geospatial Information in Agriculture and Forestry, January 10-12, 2000, Lake Buena Vista, FL, Erim International.

King, Roger L., Chris Ruffin, F. Elizabeth Lamastus, and David R. Shaw, The analysis of hyperspectral data using savitzky-golay filtering – practical issues (Part 2), IEEE 1999 International Geoscience and Remote Sensing Symposium, Hamburg, Germany, June 28 – July 2, 1999.

King, R. L., C. Ruffin, F. E. LaMastus, and D. R. 1999. The analysis of hyperspectral data using savitzky-golay filtering – practical issues. IEEE Int. Geosci. Remote Sensing Symp.

Knight, T.C., A.W. Ezell, D.R. Shaw, J.D. Byrd, Jr., and D.L. Evans. 2001. Analysis of competing vegetation in mid-rotational pine plantations using remote sensing technology. South. Weed Sci. Soc., Jan 22-24. Biloxi, MS.

Koger, T.H., D.R. Shaw, L.M. Bruce, W.B. Henry. 2001. Influence of weed patch size on remotely sensed detection of pitted morningglory (Ipomoea lacunosa) in soybean. South. Weed Sci. Soc.

Koger, T.H., D.R. Shaw, K.R. Reddy, and C.S. Bray. 2000. Influence of cover crop residues and soybean row spacing on weed direction with remote sensing. South. Weed Sci. Soc.

Koger, T.H., D.R. Shaw, and M.C. Smith. 2000. Reflectance patterns of grass and legume cover crop residues in soybean. Weed Sci. Soc. Am.

Koger, T.H., D.R. Shaw, L.M. Bruce, and C.S. Bray. 2001. Reflectance dynamics of cover crop residue, tillage, and soybean row spacing. South. Weed Sci. Soc.

LaMastus, F.E., D.R. Shaw, and M.C. Smith. 2000. Comparison of grid sizes for accurately describing weed populations. South. Weed Sci. Soc.

Leon, C.T., D.R. Shaw, and S.B. Blanche. 2000. Crop monitoring using remote sensing and GPS technologies. South. Weed Sci. Soc.

Leon, C.T., D.R. Shaw, C.E. Watson, L.M. Bruce, and T.H. Koger. 2001. Spectral response of crops due to interference from purple and yellow nutsedge. South. Weed Sci. Soc.

Londo, H.A., P. A. Glass, D. L. Evans, K. L. Belli, R. C. Parker, T. G. Matney, and E. B. Schultz. Integration of remote sensing and GPS with traditional forest inventory procedures. SOFOR GIS 2000: The 3^rd Southern Forestry GIS Conference, Oct. 10-12, 2000.

Mask, D.B., J.D. Byrd, Jr., J.W. Barnett, Jr., L.M. Bruce, and Y. Huang. 2001. Automated classification of cogongrass (Imperata cylindrica) using hyperspectral reflectance data. South. Weed Sci. Soc.

McCombs, J.W., D.L. Evans, and S.D. Roberts. 2001. Fusion of LIDAR and multi-spectral imagery to improve timber stand parameter estimation. Paper delivered at 2001 ASPRS Annual Conference. St. Louis, MO.

McKinion, J. M., J. N. Jenkins, J. J. Read, L. Tarpley and K. R. Reddy. 2000. Hyperspectral indices for determining potassium stress in cotton. Photonics East, The International Society for Optical Engineering (SPIE), 5-8 November 2000, Hynes Convention Center, Boston, Massachusetts.

McKinion, J.M., J. J. Read, K.R. Reddy, and L. Tarpley. 2000. Using mathematics to analyze reflectance spectra from nitrogen and water stressed plants and PIX treated plants. 2000 Beltwide Cotton Conferences, 4-8 January 2000, San Antonio, TX.

Medlin, C.R., D.R. Shaw, M.S. Cox, and P.D. Gerard. 2000. Site-specific weed management: Potential for increasing production profitability. South. Weed Sci. Soc.

Montgomery, B.F., A.W. Ezell, D.R. Shaw, J.D. Byrd, Jr., and D.L. Evans. 2001. Use of remote sensing for analyzing competing vegetation on cutover sites. South. Weed Sci. Soc., Jan 22-24. Biloxi, MS.

Montgomery, B.F., T.C. Knight, and A.W. Ezell. 2000. Remote sensing in forestry clear cut regeneration and mid-rotation pines. Ann. Mtg. of Miss. Veg. Mgmt. Assn. Nov 8-9, Miss. State Univ.

Null T., L. Wasson, and R.L. King, TRWIS III hyperspectral data acquisition campaign. ASPRS Annual Conference, April 23-27, 2001, St. Louis, MO.

Parker, R. C., H. A. Londo, P. A. Glass, D. L. Evans, K. L. Belli, T. G. Matney, E. B. Schultz, and N. Roller. Use of remote sensing, GPS, and computer technologies in Mississippi's forest inventory pilot program. Eleventh Biennial Silvicultural Conference, Mar. 2001.

Peterson, W. M., and J. J. Varco. 2001. Utilization of remote sensing to detect fertilizer nitrogern effects on cotton growth. Beltwide Cotton Conf., Anaheim, CA. 9-13 Jan. 2001.

Read, J .J., J. M. McKinion, L. Tarpley and K. R. Reddy. 2000. Leaf and canopy reflectance indices for the remote estimation of leaf chlorophyll and carotenoid pigments in cotton. Second International Conference on Geospatial Information in Agriculture and Forestry, 10-12 January 2000, Orlando, Florida.

Read, J .J., L. Tarpley, J. M. McKinion, and K. R. Reddy. 2000. Hyperspectral reflectance changes in leaves and canopies of cotton (Gossypium hirsutum L.) grown under nitrogen-limiting conditions. October 22-26, 2000, Remote Sensing 2000: From Laboratory Spectroscopy to Remotely Sensed Spectral Observation, Corpus Christi, TX.

Read, J. J., L. Tarpley, J. M. McKinion and K. R. Reddy. 2000. Hyperspectral reflectance properties for remote detection of nitrogen stress in cotton. American Society of Agronomy, 5-9 November, Minneapolis, MN.

Reddy, K. R. 2000. Impacts of climate change on cotton production: Modeling methodologies and applicability, National Center for Atmospheric Research (NCAR), Environmental and Societal Impacts Group, Boulder, Colorado, October 3, 2000.

Reddy, K. R. 2000. Impacts of climate change on cotton production: a southcentral assessment, National Center for Atmospheric Research (NCAR), Boulder, Colorado, October 3, 2000.

Reddy, K. R. 2000. Soil-Plant-Atmosphere-Research (SPAR): a unique source of process-level data for environmental physiology and crop modeling. USDA UV-B Monitoring Program, Natural Resource Ecology Laboratory, Colorado State University, Fort Collins, Colorado, October 4, 2000.

Reddy, K. R. 2001. Food and agriculture impacts, reforestation and carbon sinks. Closing Plenary Session. 12^th Global Warming International Conference, April 8-11, 2001, Cambridge, UK.

Reddy, K. R. 2001. Potassium nutrition of cotton: experimentation and modeling. Modeling for the 21^st century: agronomic and horticulture crop models, March 15-29, 2001, Joint Meeting of the Biological Systems Simulation Group and International Society of Horticultural Science, Sheraton College Park Hotel, Beltsville, Maryland.

Reddy, K. R. and H. F. Hodges. 2000. Exploring the limitations of environmental factors on cotton production. 3rd International Crop Science Congress, August 17-22, 2000, Hamburg, Germany.

Reddy, K. R. and M. L. Boone. 2001. Modeling cotton leaf area development and stem elongation. Modeling for the 21^st century: agronomic and horticulture crop models, March 15-29, 2001, Joint Meeting of the Biological Systems Simulation Group and International Society of Horticultural Science, Sheraton College Park Hotel, Beltsville, Maryland.

Reddy, K. R. M L. Boone, L. Tarpley, M. Chen, J. J. Read, J. M. McKinion. 2000. Carbon assimilation and water-use efficiency of cotton, maize and sorghum in response to carbon dioxide enrichment. American Society of Agronomy, November 5-9, Minneapolis, MN.

Reddy, K. R., Doma, P. Hodgesa, H. F. and M. Y. L. Boone. 2001. Impact of climate change on US cotton production: an analysis and assessment. 12^th Global Warming International Conference, April 8-11, 2001, Cambridge, UK.

Reynolds, D.B., L.M. Bruce, and E.L. Sanders. 2001. Spectral classification and identification of weed and crop species. Beltwide Cotton Conference (in press).

Richardson, A. G., K. R. Reddy and M. L. Boone. 2001. Predicting of solar radiation from air temperature for crop modeling. Modeling for the 21^st century: agronomic and horticulture crop models, 15-29 March, 2001, Joint Meeting of the Biological Systems Simulation Group and International Society of Horticultural Science, Sheraton College Park Hotel, Beltsville, Maryland.

Richardson, A. G., K. R. Reddy, P. R. Doma and M. L. Boone. 2000. Prediction of solar radiation from air temperature for crop modeling. American Society of Agronomy, 5-9 November, Minneapolis, MN.

Roberts, S.D. 2001. Family differences in aboveground biomass allocation in loblolly pine. Paper delivered at the 11th Biennial Southern Silvicultural Research Conference. Knoxville, TN. Paper to be published in upcoming conference proceedings.

Roberts, S.D. and T.J. Dean. 2000. Family effects on leaf area predictive equations for Pinus taeda. Paper delivered at: Ecological Society of America Annual Meeting. Snowbird, UT.

Ruffin, Chris and Roger L. King, The analysis of hyperspectral data using savitzky-golay filtering – theoretical basis (part 1). IEEE 1999 International Geoscience and Remote Sensing Symposium, Hamburg, Germany, June 28 – July 2, 1999.

Sanders, E.L., L.M. Bruce, and D.B. Reynolds. 2000. Species differentiation with spectral images. South. Weed Sci. Soc.

Sanders, J.C., L.M. Bruce, and D.B. Reynolds. 2000. Utilization of spectral images and COTMAN to optimize cotton defoliation timing. South. Weed Sci. Soc.

Sanders, J.C., L.M. Bruce, and D.B. Reynolds. 2001. Crop monitoring and defoliation timing via spectral data and Cotman. Beltwide Cotton Conference.

Sanders, E.L., L.M. Bruce, and D.B. Reynolds. 2001. Species differentiation with spectral images. South. Weed Sci. Soc.

Sequeira, R., E. Jallas, and R.L. King, Emerging technologies for agricultural management: Application of artificial intelligence methods for knowledge discovery in agriculture, Planetary Garden 99, pp. 141-146, March 14-18, 1999, Chambery, France.

Shaw, D.R. 2000. Remote sensing as a tool for site-specific weed management. South. Weed Sci. Soc.

Shaw, D.R. 2000. Land-grant university research program in remote sensing applications in agriculture. Second Int. Conf. on Prec. Agric. and Remote Sensing, Orlando, FL.

Shearer. S. A., R. L. Hoskinson, R. K. Fink, T. Mueller, J. A. Thomasson, J. P. Fulton, S. F. Higgins, and W. D. Ellis. 2000. Use of the decision support system for agriculture (DSS4Ag) for corn fertilization in Kentucky. 5^th Intl. Conf. Precision Agriculture and Other Resource Mgt., American Society of Agronomy, Crop Science Society of America, Soil Science Society of America.

Simpson, A. J., W. L. Kingery, M. H. B. Hayes, M. Spraul, E. Humpfer, P. Dvortsak, R. Kerssebaum, M. Godejohann, and M. Hofmann. 2000. The application of novel NMR to whole soils and humic substances. 41st Annual Experimental Nuclear Magnetic Resonance Conf.

Sudbrink, D. L. 2000. Site-specific management and IPM. Lecture given to Economic Entomology class, Department of Biological Sciences, Delta State University, Cleveland, MS, Nov. 30, 2000.

Sudbrink, D. L. 2000. Cotton IPM research: Remote sensing and site specific management. Presentation to visiting Dupont/Brazilian cotton producer tour, Delta Research and Extension Center, Stoneville, MS, Aug. 16, 2000.

Sudbrink, D. L. 2000. Remote sensing and site specific management of key factors in cotton IPM. Presentation at: Site Specific Farming in the Twenty First Century: A Symposium, Cotton Field Day, Delta Research and Extension Center, Stoneville, MS, Aug. 15, 2000.

Sudbrink, D. L., F. A. Harris, J. T. Robbins, and P. J. English. 2001. Remote sensing and site-specific management for cotton IPM. Poster presentation at the annual meeting of the Mississippi Entomological Association, Starkville, MS. Nov. 14-16.

Sudbrink, D. L., F. A. Harris, J. T. Robbins, and P. J. English. 2001. Remote sensing and site-specific management of cotton arthropods in the Mississippi Delta. Beltwide Cotton Conf., Anaheim, CA.

Tarpley, L., K. R. Reddy, M. Chen, P. R. Doma, M. Y. Boone, J.J. Read, and J.M. McKinion. 2000. Remote detection of cotton abiotic stresses: Objectives and calibration procedures. American Society of Agronomy, Madison, WI.

Tarpley, L., Y. Su, D. L. Monts, and K. R. Reddy. 2000. Spectral imaging of cotton leaf nutrient status. American Society of Agronomy, Madison, WI.

Sudbrink, D. L., F. A. Harris, J. T. Robbins, and P. J. English. 2001. Remote sensing and site-specific management of cotton arthropods in the Mississippi Delta. Beltwide Cotton Conferences, Anaheim, CA. Jan. 4-9.

Thomasson, J. A., J. Chen, J. R. Wooten, S. A. Shearer, and D. A. Pennington. 2000. Cotton yield prediction improvement with remote sensing. Beltwide Cotton Conf., Memphis, TN: National Cotton Council of America.

Thomasson, J. A., R. X. Sui, and D. C. Akins. 2000. Spectral changes in picked cotton leaves with time. 5^th Intl. Conf. Precision Agriculture and Other Resource Mgmt., P.C. Robert et al. eds. Madison, Wisc.: American Society of Agronomy, Crop Science Society of America, Soil Science Society of America.

Vickery, J. and R.L. King. Radiometric corrections of TRWIS III imagery. 2001 ASPRS Annual Conference, April 23-27, 2001, St. Louis, MO.

Wang, J. and R. L. King, A wavelet based algorithm for pan sharpening Landsat 7 imagery. IEEE 2001 International Geoscience and Remote Sensing Symposium, July 9-13, 2001, Sydney, Australia.

Wang, Liangjiang, Susan M. Bridges, Lois C. Boggess, and Jac. J. Varco. 2000. Neural network classification of leaf reflectance spectra for predicting nutrient deficiency of cotton. ANNIE 200—Smart Engineering System Design: Neural Networks, Fuzzy Logic, Evolutionary Programming November 5-8 2000, St. Louis, MO.

Watson, M., Eggleston, N., Irby, D., Moorhead, R., and Evans, D., A virtual reality interface for analyzing remotely sensed forestry data, SIGGRAPH 2000 Conference Abstracts and Applications Catalog and CD-ROM, Sketches & Applications, 2000.

Willers, J. L. 1999. Advanced spatial technologies for agriculture/remote sensing technology center field tour, July 15-16, 1999. Talk. Spatially Variable Pesticide Applications in Cotton Production, by J. L. Willers.

Willers, J. L. 1999. Applications of multispectral remote sensing imagery for scouting cotton insect pests on a large scale. Ag 20/20 Workshop, Beltsville, MD.

Willers, J. L. 2000. Applications of spatial technologies in cotton insect control, by J. L. Willers. Farmer Presentation, Jackson, TN, March 22, 2001.

Willers, J. L. 2000, Poster. Spatially variable insecticide in cotton production: The role for remote sensing. by J. K. Dupont, M. R. Seal, J. L. Willers, and K. B. Hood. (selected as best of session, Agriculture and Forestry) Second International Conference on Geospatial Information in Agriculture and Forestry, Lake Buena Vista, FL. Jan. 10-12, 2000.

Willers, J. L. 2000, Applications of spatial technologies in cotton insect control, by J. L. Willers. Seminar, Department of Entomology, Kansas State University, Manhattan, Kansas, April 29, 2000.

Willers, J. L. 2000, Spatially variable pesticide applications in cotton. by J. L. Willers, K. Dupont, M. Seal, and R. Campanella. Talk. Southeastern Branch of the Entomological Society of America, Mobile, AL, 27 Feb. - 1 Mar. 2000.

Willers, J. L. Conference 2000. Agricultural policy and technology-beginning a new millennium, Mississippi Agricultural Pest Management Associations., Greenville, MS. 21-23 Feb., 2000. Talk. Application of spatial technologies for cotton IPM. by J. L. Willers, J. K. Dupont, M. R. Seal, and R. Campanella.

Willers, J. L., K. Dupont, R. Campanella, M. Seal, D. Woodward, and K. Hood. 2000. Employment of spatially variable insecticide applications for plant bug control in cotton. Beltwide Cotton Prod. Res. Conf., San Antonio, TX. 4-9 Jan. 2000.

Willers, J. L., Ladner, W. L., McKinion, J. M., and Cooke, W. H. 2000. Application of computer intensive methods to evaluate the performance of a sampling design for use in cotton insect pest management. Applied Stat. Agric., Kansas State Univ., Manhattan.

Younan, N.H., R.L. King and H.H. Bennett, Hyperspectral data analysis using wavelet-based classifiers. IEEE 2000 International Geoscience and Remote Sensing Symposium, Honolulu, HI, July 24-28, 2000.

Popular Press Articles:

Cotton Farmer Takes Agriculture into the Space Age. Mississippi Farm Country. July/August 2000 (about Willer’s entomology work).

Let’s be Precise. Progressive Farmer Magazine, Mid-South Edition, Oct 1999 (about Willer’s entomology work).

Precision Insecticide Research Shows Potential Input Savings. Crop Decisions. Oct 1999 (about Willer’s entomology work).

Glass, P.A., K .L. Belli and R. C. Parker. 2000. Electronic forest inventory equipment: Prospects and Problems. In: proceedings of the 2000 Southern Mensurationists Conference, Nov. 27-29, 2000. Jekyll Island, GA.

Londo, H.A., P. A. Glass, D. L. Evans, K. L. Belli, R. C. Parker, T. G. Matney, and E. B. Schultz. 2000. Integration of remote sensing and GPS with traditional forest inventory procedures. Proceedings of SOFOR GIS 2000: The 3^rd Southern Forestry GIS Conference, Oct. 10-12, 2000. Athens, GA. Abstract and Paper at http://www.soforgis.net/index.html.

Matney, T.G. Web site location for software tools and data: http://www.forestry.cfr.msstate.edu.

Parker, Robert C., H. Alexis Londo, Patrick A. Glass, David L. Evans, Keith L. Belli, Thomas G. Matney, Emily B. Schultz, and Norman Roller. Use of remote sensing, GPS, and computer technologies in Mississippi's forest inventory pilot program. Proceedings of the 11th Biennial Silvicultural Conference, Mar. 20-22, 2001. Knoxville, TN. (in press) Abstract.

Reddy, K. R. 2000 - MAFES featured article on K. Raja Reddy’s research SPAR measures global climate change MAFES Research Highlights, Summer 2000, p. 8.11, Mississippi Agricultural and Forestry Experiment Station, Research Highlights, Mississippi State, MS.

Reddy, K. R. and H. F. Hodges. 1999 - Farm Week report on SPAR facility and Research, TV Show, November, 1999.

Reed, Jimmy. 2001. Dollars in and dollars out, part 1. Cotton Farming, May, pp. 36-39 (about Willer’s entomology work).

Seal, M. 1999. Precision insecticide research shows potential input savings. Crop Decisions. Oct.1999: 14 –15 (about Willer’s entomology work).

Wolfshohl, K., J. Leidner, V. G. Myers, and B. Kidwell. 1999. Let’s be precise. Progressive Farmer, Mid-south Edition (October) 114(11): 20-23 (about Willer’s entomology work).

Technology/Inventions:

A number of virtual environments (VEs) or cave applications were generated, including:

· the ability to render the raw data as points, lines, a triangular mesh, or a filled surface

· the ability to connect the raw data points along the pulse path or within a return layer along the scan path

· the ability to render an interpolated rectilinear grid as points, lines, a triangular mesh, or a filled surface

· the ability to color the surface based on relative height

· the ability to read and render a database of surveyed tree model data

· the ability to read and render the surveying locations

· the ability to read and render a terrain surface

Validation of DSS4Ag (Decision-Support System for Agriculture, developed at INEEL) in fertilization of cotton in Mississippi and corn in Kentucky.

Neural-network method for classifying bare-soil images according to soil-texture categories (in development).

Image-based Fourier-Transform-Profilometry for soil surface roughness measurement (in development).

Application of High Resolution-Magic Angle Spinning NMR to study of soil organic constituents (in development).

Neural network model developed using leaf and possibly crop reflectance to evaluate nitrogen status.

Novel method for calibration of chemical concentration utilizing "All Possible Ratios" of multiple waveband values of reflected radiances.

The cotton simulation model, GOSSYM, was improved by incorporating new and improved algorithms for several key processes including photosynthesis, plant height, leaf area development, and brief periods of hot temperatures on boll production and yield. The remote sensing research provides functional parameterization of hyperspectral ‘signatures’ related to particular foliage concentrations of macronutrients or other requirements for agronomic input.

Leveraging Activities:

USDA-NRCS Wildlife Science and Watershed Institutes have committed $90,000 over 3 years. This grant has been awarded and will continue until FY2002.

USDA-NRCS Wildlife Sciences Institute and Mississippi State Office of USDA-NRCS have committed an additional $105,000 between 3/1/2001 and 3/1/2004.

Mississippi Department of Wildlife, Fisheries, and Parks committed $64,000 during 1999 and 2000, and has committed $119, 691 over 3 years (FY2001-2003). This grant is contingent on annual appropriations, and thus only a portion has been awarded. During FY 2001 MDWFP has committed $24,776 to support this research.

Monsanto has committed $7500 for acquisition of a yield monitor to be used on the combine of one of the producers involved in this study. This grant has been awarded.

Mississippi State Council Quail Unlimited has provided $20,000 for landowner incentive payments. This grant has been awarded.

Quail Unlimited National and The Fish and Wildlife Foundation have committed $7500 for landowner incentive payments. This grant has been awarded.

Mississippi USDA-NRCS has committed $2000 for landowner incentive payments.

Forest industry has provided land use with a value of $126,000.00 for the project, and the state of Mississippi is providing land use with a value of $228,000.00. The project has also acquired land use from nonindustrial private landowners with a value of $244,000.00.

Several projects are substantially interactive and interdependent with a MSU/USDA contract, Advanced Spatial Technologies in Agriculture (ASTA). Total funding for this program is $1,000,000 per year.

Cotton Incorporated provided software and funding for part of the COTMAN data collection conducted at Stoneville.

The USDA‑ARS Area‑Wide Management of Tarnished Plant Bug Project provided a GPS unit and assistance with field data collection.

Scientists at DREC in this project are cooperating with faculty at the Mississippi Delta Community College (MDCC) in development of an Advanced Technology Education program. MDCC was awarded an NSF grant for development, implementation, and evaluation of a curriculum in spatial information systems. The curriculum will lead to an Associate Degree in Spatial Information Systems - Precision Agriculture option.

Multiresolution Feature Decomposition and Noise Filtering of Hyperspectral Image Data, General Dynamics – Electronics Systems, $25,000, March – December 2001, Lori Mann Bruce

The Bellingham, WA data (both lidar and Field) were paid out of a US Forest Service Cooperative Research Agreement with the Southern Forest Experiment Station. Total value of the grant including industry and MSU cost share is $645,000.

At Mississippi State University, in cooperation with Iowa State University, a Poplar Pest Management Research program has been established with industrial associates. Timber companies are supporting the research effort by providing study areas, equipment (for field use), personnel, as well as monetary support (~$16,000/yr). As success is demonstrated, users of the technology will apply for small business development grants or soliciting for investors in this technology development. Cooperators are also furnishing us with study areas at no cost.

Optimization of Cropping Systems for the Mississippi Delta. USDA-ARS. PI – H. C. Pringle, III. $9,549, 1999-2000, continuing.

Mississippi Cotton Incorporated State Support Program: Validation of COTMAN Expert System Rules for Early Season Insect Control, Irrigation Scheduling and Defoliation. PI’s – F. A. Harris, C. E. Snipes and H. C. Pringle, III. $135,000 - 2000-03, $45,000 per year.

Proposal to USDA-IFAFS: Spatial and Temporal Cotton Management with Integrated Growth Simulation and Remote Sensing; May, 2001; $577,223, subcontract in $3,000,000 proposal with Texas A&M University (pending)

Proposal to USDA-IFAFS: Ground-based Remote Sensing System for Crop Growth Characterization; May, 2001; $207,984, subcontract in $1,141,792 proposal with University of Arizona (pending)

Proposal to USDA-NRICGP: Infrared -Spectrum Search for Cotton Quality Descriptors; November, 2000; $200,111 (not funded).

Proposal to USDA-IFAFS: Adopting Precision Ag.: Technology Integration, Extension, & Economic Validation; May, 2000; $5,000,000 (not funded).

Perthshire Farms in Bolivar County cooperated in allowing use of tractors and land to conduct experiments. All seed, pesticides, fertilizers, diesel fuel, and harvesting and labor costs were absorbed by Perthshire Farms. ITD-Spectral Visions supplied imagery at no cost due to ongoing cooperation/consultation with their projects.

Project funds made available through the RSTC ($150,000, including institutional overhead) were leveraged by the Institute into $238,757, providing a return on RSTC/NASA investment of 131.75%. Additionally, approximately $21,781 of Mississippi State University’s Educational and General budget was offset by the funding, and the Institute’s line item appropriation from the Legislature was used to help significantly defray project related costs.

For the physiology work, 10 large naturally lit and environmentally controlled chambers (SPAR units) for growing plants in environmentally defined conditions, valued at $1,000,000, are being used for this study. This facility included computer-aided data control, acquisition and monitoring system with well-defined software programs for analyzing the data.

Adjacent natural-environment, potted-plant growing facility with computer-controlled fertilization and irrigation capabilities, valued at $30,000 was also used for this study. Current capacity is about 2000 plants.

The USDA-ARS group at Mississippi State has been recently directed to use their resources for developing GIS-and GPS-based precision agriculture technologies using remote sensing, variable rate applications, and diagnostics of production problems with yield mapping crop models and expert systems.

Two USDA/ARS research scientists, two support scientists, and three technicians with a budget of $998,000 will be available for this project. As the USDA-ARS’ CRIS program is compatible with this project’s goals, more than 50% of their time and resources will be devoted to achieve the goals of this project.

Impacts of climate change on cotton production: A south-central assessment, amount: $ 471,000, period: 1999 –2001, agency: National Institute for Global Environmental Change (NIGEC), South Central Region, Tulane University, New Orleans, LA. K. R. Reddy and H. F. Hodges.

Effects of UV-B radiation on cotton growth, development and physiology: Experimentation and model development – year-1, 2000, amount: $25,000, USDA, UV-B Monitoring Program, Colorado State University, Fort Collins, Colorado. K. R. Reddy.

Effects of UV-B radiation on cotton growth, development and physiology: Experimentation and model development – year 2, 2001, amount: $30,000, USDA, UV-B Monitoring Program, Colorado State University, Fort Collins, Colorado. K. R. Reddy.

To validate the use of a new meter for estimating the chlorophyll content of leaves. Spectrum Technologies, $3000, Plainfield, IL. K. R. Reddy.

Leaf area and volume estimates in loblolly pine forests derived from aerial imaging lidar. August 1999 – November 2001. $278,961. NASA grant no. NAG13-99018. S.D. Roberts, T.J. Dean and D.L. Evans.

Estimating forest area by type and delineating stand characteristics with a new generation of high-resolution aerial sensors. April 1999 - March 2002. $396,543. USDA Forest Service. D. L. Evans and R. C. Parker.

(See items in “Proposals Submitted” section for additional leveraged activities listing.)