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

Volume

2

fYear

2001

fDate

2001

Firstpage

733

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;

fLanguage

English

Publisher

ieee

Conference_Titel

Geoscience and Remote Sensing Symposium, 2001. IGARSS '01. IEEE 2001 International

Conference_Location

Sydney, NSW

Print_ISBN

0-7803-7031-7

Type

conf

DOI

10.1109/IGARSS.2001.976618

Filename

976618