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AN ASSESSMENT OF GROUND TRUTH VARIABILITY USING A "VIRTUAL VIELD REFERENCE DATABASE"
Citation:
Lunetta, R S., J. Iiames, J Knight, R. O. Congalton, AND T H. Mace. AN ASSESSMENT OF GROUND TRUTH VARIABILITY USING A "VIRTUAL VIELD REFERENCE DATABASE". Presented at International Symposium on Spatial Accuracy Assessment in Natural Resources - Accuracy 2000, Amsterdam, The Netherlands, July 12-26, 2000.
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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