The Remote Sensing Technologies Center (RSTC) received funding on February
23, 1999. Since that time the following activities have been put in
place:
RSTC Management
-
RSTC formally established on the Mississippi State University campus
-
RSTC Director, Chief Technologist named
-
Offices established for Director, Chief Technologist, NASA in-residence
Program Director, and Extension Remote Sensing Specialist
-
Executive Steering Committee and Technical Steering Committee organized
-
Planning underway for External Advisory Committee
-
Tour of agricultural research sites conducted July 15-16, 1999
-
NASA has reviewed the RSTC program on March 16-17, 2000; all
review comments positive
Research Activities
-
Request for Proposals developed, sent out to MSU faculty
-
Proposals reviewed internally and externally by peer review panel based on
scientific merit, adherence to the goals and focus areas of the RSTC, and
cross-disciplinary strength of project
-
Proposal modifications requested in many instances to develop a
comprehensive and collaborative overall program of the RSTC
-
Identified field research sites covering significant agriculture and
forestry appropriate for Mississippi:
-
Delta Research and Extension Center, Stoneville, MS
-
Plant Science Research Center, Starkville, MS
-
Black Belt Branch Experiment Station, Brooksville, MS
-
USDA/ARS Crop Production Research Unit, Stoneville, MS
-
USDA/ARS Crop Science Research Unit, Starkville, MS
-
USDA/ARS Natural Resources Institute, Remote Sensing and Modeling
Laboratory, Beltsville, MD
-
Perthshire Farms, Gunnison, MS
-
Starr Research Forrest, Starkville, MS
-
Other production farm/forest sites around the state as appropriate
for specific projects
Together with NASA, developed flight/sensor schedules to provide coverage
of all projects
-
Developed working affiliation with MSCI; development activities with a
number of MSCI companies
-
Seventeen departments/units at MSU involved in research projects;
71 MSU faculty; USDA/ARS units at Starkville and Stoneville also involved
in many cooperative projects
-
Conducted gap analysis to determine critical shortfalls in research
efforts; recruitment of targeted proposals to fill these gaps underway
-
Substantial infrastructure redirected at MSU to meet the needs of the
RSTC; faculty reassignments, physical infrastructure committed
-
MSU Extension Service developed Extension Remote Sensing Specialist
position; faculty position for remote sensing educational activities in
agriculture and natural resources
-
Linkage with ASTA - Advanced Spatial Technologies for Agriculture
project (USDA-funded effort at MSU focusing on precision agriculture
research) and extension of MCARS - Mississippi Coalition for Applications
of Remote Sensing (NASA-funded pilot project) for leveraged research
activities
-
Developed faculty position justifications: presented to Deans Council for
distribution to department heads; allocation of new positions and
re-vectoring vacant positions
-
New positions already allocated in Electrical & Computer Engineering,
Mathematics and Statistics departments; others currently under
consideration
The following projects have been initiated in each area:
Agriculture
-
Characterization of soils for detection of features through remote
sensing and removal of background for crop phenomenology detection
-
Evaluation of remote sensing as a tool in site-specific fertilization
-
Detection of weed species and populations through remote sensing to allow
targeted applications based on above-threshold infestation levels
-
Management of insect populations through crop phenomenology observable via
remote sensing
-
Detection of crop stress induced by presence of plant pathogens
-
Utility of remote sensing in irrigation management
-
Fundamental crop physiological responses to stress that result in changes
in spectral reflectance properties
-
Evaluation of remote sensing as a management technique for cotton
defoliation and growth regulation
-
Value of remote sensing images for crop scouting; early response possible
through detection of stress prior to widespread outbreak of stress agents
-
Economic assessments of remote sensing technologies for precision
agriculture and risk management
-
Satellite-based prediction of yield and moisture stress in cotton and corn
(project funded by NASA through collaboration with Lockheed Martin Idaho
Technologies Company)
Forestry
-
Development of a pilot project using remote sensing to create a forest
inventory system
-
Utility of LIDAR as a means of assessing timber volume (Project funded
through NASA/USDA Agriculture, Forestry, and Rangeland NRA)
-
Fusion of multiple data types (e.g. LIDAR and multi- or hyperspectral
data) for new data products
-
Utility of remote sensing in wildlife habitat management; landscape-level
of management for integration of natural and cultivated lands
-
Evaluation of multi- and hyperspectral data for weedy vegetation
management in intensively-managed forest production
-
Detection of insect infestations in forest production for targeted
management strategy development
Transportation
-
Conduct a thorough needs assessment for the transportation industry:
survey work to determine what the current and future problems are, and how
remote sensing can be used as a tool to address these problems
Computational Modeling
-
Development of a centralized data processing facility at the MSU
Engineering Research Center locations in Starkville and at the Stennis
Space Center
-
Advanced algorithm development, novel analysis techniques, and automation
of data processing
-
Visualization of the data through 3D graphics techniques: COVE immersive
environment
-
Standardization of radiometric equipment usage and data collection
techniques among RSTC scientists
Workforce Development
-
Remote sensing and GIS training workshops held on-site for faculty/staff
development
-
Listening sessions conducted around the state to develop initial needs
assessments in agriculture and forestry
-
New courses being developed for undergraduate and graduate students
-
MSU Extension Service integrating remote sensing technologies into on-farm
demonstration programs
-
Continuing education courses developed
-
State and local government targeted as an outreach/education activity
Preliminary Successes
-
MSU Extension Service has added a faculty position as a Geospatial
Extension Specialist. The GES is conducting demonstration and validation
projects throughout Mississippi, enhancing the training of end-users and
increasing acceptance of the technologies.
-
MSU Electrical & Computer Engineering has added a faculty position
in remote sensing engineering. This position will focus on hyperspectral
signal processing, thus broadening the faculty infrastructure at MSU.
-
The RSTC has added a Chief Technologist, focused on assisting the
commercial remote sensing industry in developing new technologies. The
Chief Technologist, along with the faculty mentioned above, are recognized
experts in their respective fields, and were attracted to MSU because of
the growing reputation of our remote sensing-related research and
education program.
-
RSTC Director, Dr. David Shaw, was named as a Senior Science
Advisor to NASA Earth Science Enterprise Remote Sensing Applications
Program.
-
RSTC researchers and educators are participating in national and
international science and technical committees related to remote sensing.
-
Collaborative activities have been established with many of the
premier remote sensing research institutions in the U.S., including
University of Arizona, Purdue University, Utah State University,
University of Alabama-Huntsville, University of Mississippi, Auburn
University, Jackson State University, University of Kentucky, and USDA/ARS
facilities in several states.
-
Listening sessions conducted throughout the state with
farmers/foresters indicated broad interest in remote sensing applications
in agriculture and forestry. Specific interests in agriculture were
variable-rate agricultural chemical applications, economic assessments in
risk management, expert systems for precision agriculture, and production
information on a national/global scale. Interests in forestry included
stress management (particularly insects), forest inventory systems, and
site-specific management techniques.
-
RSTC has developed a prototype web-based seminar series on remote
sensing with Purdue University. The seminar will also be offered at the
NASA Stennis Space Center in the fall of 2000.
-
New courses have been developed, and existing courses and
curricula have been modified to enhance formal education and training of
students in remote sensing at MSU. These courses are developed to
accommodate any advances in technologies and applications of remote
sensing imagery in the future. Next steps will include making these
courses available to other educational components of the university, as
well as other institutions via web-based delivery.
-
RSTC conducted a short course on spatial statistics, and over 40
faculty and staff participated. Plans including extending this to other
researchers and educators within the university.
-
RSTC researchers have compiled an extensive database of
publications on remote sensing applications in transportation to guide
development of the technology in this emerging application.
-
Advanced analysis techniques have been developed for
next-generation remote sensing data. These techniques are enabling
scientists, engineers, and the remote sensing industry to develop new
methods of extracting information from advanced systems, thus enhancing
the development of remote sensing applications and next-generation
sensors.
-
A comprehensive, university-wide data storage and management
system has been developed so that researchers both at MSU and
collaborators from other institutions have ready access to the latest data
and analysis techniques. This novel approach to centralizing data
management reduces duplication of hardware and software, and reduces the
cost of research considerably.
-
Advanced holographic environments have been created that allow
researchers and end-users to interactively view their data in three
dimensions. This provides an understanding and perspective that has never
been available in the past.
-
MSU economists are applying principles of new economic models such
as "Real Options" to remote sensing applications development. This will
allow the remote sensing industry to more accurately assess risk and
develop marketable commercial applications.
-
Remote sensing data can be used to enable site-specific insect
management in cotton. This reduces production costs and minimizes
environmental impacts.
-
Remote sensing is a key component in developing prescription
fertilizer applications in cotton; yields were enhanced through
optimization of nitrogen fertilization. This increases profitability and
protects the environment from over-application of nutrients that otherwise
could make their way into surface and ground water.
-
Weeds can be detected and classified down to the species level via
hyperspectral remote sensing. This allows the producer to tailor a
herbicide program to only the areas of fields that are infested with weed
populations that can reduce yields, thus improving management capabilities
and reducing pesticide load in the environment.
-
Diseases could be detected in soybeans through remote sensing
before they were visually present. Therefore, treatments can be made in
localized areas to prevent yield losses and disease spread.
-
Soil management zones, areas that can be managed similarly within
a given field, can be accurately identified by merging remote sensing with
other data types. Precision agriculture can be enhanced markedly through
better soil management enabled by this technology.
-
Remote sensing is useful in detecting areas of cotton fields with
excessive vegetative growth, enabling site-specific applications of growth
regulators. This enhances yield and improves cotton fiber quality.
-
A prototype forest inventory web interface has been developed that
will allow forest resource managers access to county-level information
never before available. Forest managers are able to understand the
condition of their resource base, as well as its spatial distribution.
-
Remote sensing forest inventory techniques have been proven to be
as accurate as traditional ground-based inventory systems. Once these
techniques are validated cost of inventory operations will be reduced
significantly.
-
Research has been initiated to determine how to measure changes in
plant and soil reflectance due to changes in sun angle. Results of this
effort will allow remote sensing companies to maximize their data
collection capabilities, thus improving their productivity, efficiency,
and profitability.
-
Over 50 commercial companies have expressed interest in
collaborative activities with RSTC. These companies range from data
collection to agricultural service providers, many of which are affiliates
or members of the Mississippi Space Commerce Initiative.
-
At least five companies have agreed to provide data, software, or
services via collaborative projects. As a result, MSU is positioned as a
researching partner in their critical development pathway.
-
RSTC has completed discussions with the Mississippi Space Commerce
Initiative, and have agreed upon appropriate roles for each entity and
full collaboration in delivering technology advancements to the
marketplace.
-
New projects have been initiated with MS Department of
Environmental Quality, MS Department of Marine Resources on remote sensing
applications in environmental assessment and management.
-
RSTC researchers secured funding from US DOT to lead a national
consortium for environmental assessments related to transportation
planning.
-
RSTC was named as the NASA Regional Coordinator for the next major
area of remote sensing applications focus - Applications of Remote Sensing
for State and Local Government.
-
RSTC has developed joint research activities with NASA's lead
center for environmental management. Research activities will focus on
forest inventory, wildlife and habitat management, and environmental
management.
-
RSTC recently completed a comprehensive review of agriculture
projects with NASA program managers. The results of the review were very
positive and NASA asked RSTC to expand their role to validate the research
plans and provide the science rigor for all agricultural projects
sponsored by NASA.
|