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A PIXEL COMPOSITION BASED REFERENCE DATA SET FOR THEMATIC ACCURACY ASSESSMENT
Citation:
KNIGHT, J. F. A PIXEL COMPOSITION BASED REFERENCE DATA SET FOR THEMATIC ACCURACY ASSESSMENT. Presented at American Society of Photogrammetry and Remote Sensing (ASPRS), Baltimore, MD, March 11, 2005.
Impact/Purpose:
Our research objectives are to: (a) develop new methods using satellite remote sensor data for the rapid characterization of LC condition and change at regional to national scales; (b) evaluate the utility of the new NASA-EOS MODIS (Moderate Resolution Imaging Spectrometer) leaf area index (LAI) measurements for regional scale application with landscape process models (e.g., biogenic emissions and atmospheric deposition); (c) provide remote sensor derived measurement data to advance the development of the next generation of distributed landscape process-based models to provide a predictive modeling capability for important ecosystem processes (e.g., nutrients, sedimentation, pathogens, etc.); and (d) integrate in situ monitoring measurement networks with UAV and satellite based remote sensor data to provide a continuous environmental monitoring capability.
Description:
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