Title :
Spatial statistical analysis of three global land cover maps
Author :
Morisette, Jeff ; Privette, Jeff ; Olson, Dick ; Davis, Paul
Author_Institution :
Dept. of Geogr., Maryland Univ., College Park, MD, USA
Abstract :
Three land cover maps: the IGBP DISCover Global Land Cover, UMD Global Land Cover, and the MODIS “Biome” map (to be used as input for the MODIS LAI/FPAR product) were subset over the EOS Land Validation Core Sites. This paper reports on the percentage land cover for these subsets and explores the spatial distribution of the dominant land cover. This analysis is used to quantify the homogeneity of the sites´ land cover for an 11 km by 11 km area and then looks at the spatial distribution of the dominant land cover over a larger, 50 km by 50 km subset. The analysis provides metrics for the land cover homogeneity across the validation sites, which can help temper validation results coming from the various sites and provide insight on the extent to which validation activity carried out on a site can be applied to the surrounding area
Keywords :
geophysical techniques; remote sensing by laser beam; terrain mapping; vegetation mapping; Biome map; IGBP DISCover Global Land Cover; MD Global Land Cover; MODIS; geophysical measurement technique; global map; land cover; land cover homogeneity; land cover map; land surface; metric; remote sensing; spatial analysis; spatial statistical analysis; terrain mapping; validation site; vegetation mapping; Earth Observing System; Geography; Geoscience; MODIS; Poles and towers; Remote sensing; Satellites; Statistical analysis; Vegetation mapping; World Wide Web;
Conference_Titel :
Geoscience and Remote Sensing Symposium, 2000. Proceedings. IGARSS 2000. IEEE 2000 International
Conference_Location :
Honolulu, HI
Print_ISBN :
0-7803-6359-0
DOI :
10.1109/IGARSS.2000.858212