The LRS Program is conducting and sponsoring research in remotely sensed land data collection, access, distribution, and applications from current and possible future data sources.  Scientists and engineers sponsored by the LRS Program are investigating new types of satellite systems and sensors, studying promising new data sources, developing new data acquisition programs and sources, and assessing the potential for new data applications.  In addition, the Program is seeking new ways to make remotely sensed data products more accessible to the land remote sensing user community, as well as ways to expand and enhance the overall use of remotely sensed data and remote sensing technology.

Research Projects

Search Research Project Titles:

Remote Sensing Applications for Fire
Sensor Research for Fire Applications
Fire Fuels
Data Fusion and Visualization
Feature Extraction
Hyperspectral Sensor Applications to Coal-bed Methane
Invasive Species
Vegetation Mapping
Human Health Investigations
Hyperspectral Investigations - Application to Department of Defense Land
Hysperspectral Investigations - Oak Decline in Central US and West Coast Forests
Data Application - Landsat Shoreline Extraction
Hyperspectral Investigations - St. Louis - 133 Urban Area
Monitoring the Environmental Impacts of Contained Animal Feeding Operations (CAFO) Using Remotely Sensed Data
Hyperspectral Data Unmixing Using Independent Component Analysis Techniques Multispectral Image Sharpening Based on Sensor System Model
Modeling landscape vulnerability to water erosion in Hawaii (98649HS Task2)
Mapping Pinyon-Juniper Margins (98649HS Task 3)
IFSAR/LANDSAT Applications-Alaska (9065977)
Phenological Characterization
Drought Monitoring
Innovative image-based maps