Title :
Global land cover classification results from MODIS
Author :
Friedl, M.A. ; McIver, D.K. ; Zhang, X.Y. ; Hodges, J.C.F. ; Schnieder, A. ; Bacinni, A. ; Strahler, A.H. ; Cooper, A. ; Gao, F. ; Schaaf, C. ; Liu, W.
Author_Institution :
Dept. of Geogr., Boston Univ., MA, USA
Abstract :
The MODIS global land cover product provides maps of global land cover at 1-km spatial resolution using several classification systems, principally that of the IGBP. To generate these maps, a supervised classification methodology is used that exploits a global database of training sites interpreted from high resolution imagery in association with ancillary data. Initial results from MODIS data are very encouraging. At global scales, the distribution of vegetation and land cover types is realistic. As a full year of data is added to the processing stream and the global site database is refined, the quality of the MODIS land cover product will improve accordingly
Keywords :
geophysical signal processing; geophysical techniques; image classification; multidimensional signal processing; remote sensing; terrain mapping; vegetation mapping; EOS; IGBP; IR; MODIS; geophysical measurement technique; global database; image classification; infrared; land cover; land surface; multispectral remote sensing; remote sensing; supervised classification; terrain mapping; training sites; vegetation mapping; visible; Classification algorithms; Frequency; Geography; Image databases; MODIS; Remote sensing; Spatial databases; Spatial resolution; Testing; Vegetation mapping;
Conference_Titel :
Geoscience and Remote Sensing Symposium, 2001. IGARSS '01. IEEE 2001 International
Conference_Location :
Sydney, NSW
Print_ISBN :
0-7803-7031-7
DOI :
10.1109/IGARSS.2001.976618
