Abstract
Times series Normalized Difference Vegetation Index (NDVI) data, computed from Advanced Very High Resolution Radiometer (AVHRR) data, were used in an attempt to locate areas of rice cultivation in China. NDVI dynamics were examined using 16 km global area coverage satellite data from 1988 composited into 12 monthly images. Unsupervised classification was used to categorize the data with the hope of distinguishing rice cultivation areas from other vegetation cover types. There was no ground truthing. Results from the classification were compared to a digital vegetation map of China and an elevation map. On an acreage basis, between 11% of the rice area in Hunan (described as such on the vegetation map) and 92% of the rice area in Sichuan coincided with classes obtained by the unsupervised classification routine. The rice cultivation signal, low at planting and flooding, high at peak vegetative growth, low at harvest, was calculated as the average from all the pixels belonging to a particular class, (i.e. n = 150 to 800 pixels), and as a result, was dramatically dampened from the original signal.
Notes
The research described in this article has been funded by the U.S. Environmental Proection Agency (EPA). This document has been prepared at the EPA Environmental Research Laboratory in Corvallis, Oregon, through contract 68‐C8–0006 to Man Tech Environmental Technology, Inc.. It has been subjected to the agency's peer and administrative review and approved for publication. Mention of trade names or commercial products does not constitute endorsement or recommendation for use.