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PRESENTATION ON--LAND-COVER CHANGE DETECTION USING MULTI-TEMPORAL MODIS NDVI DATA
Citation:
LUNETTA, R. S., J. F. KNIGHT, J. EDIRIWICKREMA, J. G. LYON, AND L. D. WORTHY. PRESENTATION ON--LAND-COVER CHANGE DETECTION USING MULTI-TEMPORAL MODIS NDVI DATA. Presented at International Geoscience and Remote Sensing Symposium, Barcelona, SPAIN, July 23 - 27, 2007.
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:
Monitoring the locations and distributions of land-cover changes is important for establishing linkages between policy decisions, regulatory actions and subsequent landuse activities. Past efforts incorporating two-date change detection using moderate resolution data (e.g., Landsat) have tended to be performance limited for applications in biologically complex systems. The purpose of this research was to investigate the feasibility of using Moderate Resolution Image Spectroradiometer (MODIS) derived NDVI data to identify change areas on an annual time-step. This research was conducted across the 52,000 km2 Albemarle-Pamlico Estuary System (APES) located in North Carolina and Virginia. This research effort focused on non-agriculture cover types. Due to the unique issues associated with differentiating between agricultural land-use and and-cover conversions, methods for agricultural conversions to non-agricultural cover types (e.g., urban and forest) are being developed separately from the effort described here.