Title :
Methodology to select phenologically suitable Landsat scenes for forest change detection
Author :
Kim, Do-Hyung ; Narashiman, Raghuram ; Sexton, Joseph O. ; Huang, Chengquan ; Townshend, John R.
Author_Institution :
Dept. of Geogr., Univ. of Maryland, College Park, MD, USA
Abstract :
A set of methods to select phenologically suitable Landsat scenes to perform forest cover change detection has been developed using AVHRR LTDR NDVI (1981-2000), MODIS 5km NDVI (2001-2010) and a metadata archive of globally available Landsat data. The selected imagery are expected to make significant contributions in reducing errors in forest change detection due to the phenological unsuitability.
Keywords :
forestry; geophysical image processing; meta data; terrain mapping; vegetation; vegetation mapping; AD 1981 to 2000; AD 2001 to 2010; AVHRR LTDR NDVI; MODIS 5km NDVI; forest change detection; forest cover change detection; metadata archive; phenologically suitable Landsat scenes; Earth; MODIS; Monitoring; Remote sensing; Satellites; Spatial resolution; Vegetation mapping; AVHRR; Change detection; Landsat; MODIS; Phenology;
Conference_Titel :
Geoscience and Remote Sensing Symposium (IGARSS), 2011 IEEE International
Conference_Location :
Vancouver, BC
Print_ISBN :
978-1-4577-1003-2
DOI :
10.1109/IGARSS.2011.6049738
