Asian 30-Second Land Cover Dataset (original) (raw)

the arab world geographer, 2011

Abstract

The objective of this study is to produce a land cover classification dataset for the whole of Asia using a NOAA AVHRR 1-km dataset. Ground truth data were mainly collected from existing thematic maps, which were obtained from members of the Land Cover Working Group (LCWG) of the Asian Association on Remote Sensing (AARS). Classification was mainly based on cluster analysis of the monthly ratio of surface temperature to Normalized Difference Vegetation Index (NDVI) for seven months from April to October 1992. Additional variables, such as DEM, the maximum monthly composite NDVI in a year, and the minimum monthly composite NDVI in a year were also used in the classification processing. A CD-ROM including the land cover classification dataset has been published.

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