Biological Sciences
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Research and Technology 2002
 
Earth Systems Modeling and Data Management
 

The Earth Systems Modeling and Data Management Laboratory supports the Life Science Services Contract. A major component of that contract is to utilize emerging technologies permitting data generation and the logical warehousing, analysis, synthesis, and visualization of data that (1) assists in the interpretation of ecological processes and (2) permits a proactive approach to ecological research and environmental management. This endeavor involves development of a diverse set of information tools including rule-based expert systems, numerical models, time series analysis, and fusion of a variety of data collection systems and databases.

Visualization of Earth Systems Modeling and Data Management Schema

Visualization of Earth Systems Modeling and Data Management Schema

Key priorities as they pertain to environmental initiatives include:

  • Provide data and synthesized information to optimize the management of natural resources.
  • Develop a conceptual/mathematical understanding of our complex ecosystem and provide framework needed to continuously reevaluate our data needs.
  • Incorporate remote sensing and advanced Geographic Information System (GIS) technology into the decisionmaking process.
  • Enhance capabilities to comply with Federal and state environmental regulations.


 

Major initiatives and activities include:

  • Development of geography network to disseminate spatial data and information through the World Wide Web.
  • Assessment of wildland fire risk using local meteorological grid as source data. Analysis is fully automated providing hourly updates (24/7) of current situation (http://dugong.ksc.nasa.gov/fireman/).
  • Acquisition (automated loading in an Oracle relational database) and dissemination (via the Web) of real-time meteorological conditions at KSC (http://geomod.ksc.nasa.gov/).
  • Development of a hyperspectral database and a Web interface archive and analysis of spectral scans. Hyperspectral data are used to develop methodologies in extracting information on various environmental parameters (e.g., water quality, vegetation classification) from airborne or spaceborne remotely sensed imagery.
  • Establishment of the Remote Sensing and Environmental Optics (ReSEO) Laboratory to assist in developing methodologies for estimating various environmental parameters, such as water quality and vegetation characteristics from airborne and satellite-based radiometric imagers.
  • Initiating development of a rule-based expert classifier to interpret data fusion of soil/plant associations, radiometric estimates of biomass, and laser-imaged (LIDAR) structural geometry to characterize the natural landscape in relation to wildland fuels and habitats.
  • Support of Indian River Lagoon Wetlands Initiative to evaluate management alternatives to local wetlands.
  • Development of visualization and dissemination techniques for the Rocket Effluent Exhaust and Dispersion Model (REEDM).

Collection of Downwelling Radiation (400 to 2,000 Nanometers)To Correct Imagery for Atmospheric Effects

Collection of Downwelling Radiation (400 to 2,000 Nanometers)To Correct Imagery for Atmospheric Effects

Contacts: Dr. W.M. Knott (William.Knott-1@ksc.nasa.gov), YA-D3, (321) 867-6987; and K.A. Gorman, TA-C, (321) 867-6176
Participating Organization: Dynamac Corporation (R. Schaub, M. Gimond, and M.J. Provancha)

 

Wildland Fire Hazard Analysis

Wildland Fire Hazard Analysis

     
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