Super typhoon Haiyan makes landfall
Super typhoon Haiyan
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VEGETATION - 2000

Lake Maggiore - Italy, 3-6 April 2000


Continental-scale mapping and monitoring of agriculture in China: using VEGETATION sensor data from SPOT 4.

X. Xiao, C. Li, S. Frolking, B. Moore III, B. Salas, and S. Boles.
Complex Systems Research Center
Institute for the Study of Earth, Oceans and Space
University of New Hampshire
Durham, NH 03824 USA

Over last few decades people have been using the NOAA AVHRR sensor data to map and monitor agriculture across various spatial scales of regions, continents and the globe. The NOAA AVHRR sensor was designed for meteorological applications and its potential for agricultural and forestry applications is limited by sensor calibration accuracy, available spectral bands and variation in spatial resolution. Recently, a new generation of sensors and satellite platforms that are specifically designed for observing and monitoring land vegetation at the global scale have been launched (e.g., VEGETATION sensor in SPOT 4) or to be launched soon (e.g., MODIS in EOS Terra). We have begun to use multi-temporal 10-day composites of VEGETATION sensor from SPOT 4 for mapping and monitoring of agriculture in China. The VEGETATION sensor has 4 spectral bands: blue (0.43-0.47 ?m), red (0.61-0.68 ?m), near infrared (0.78-0.89 ?m), and short-wave infrared (1.58-1.75 ?m); and it provides daily global coverage at 1-km spatial resolution. We have subscribed the 10-day composite data of VEGETATION from March 1999 through November 1999 for the entire China. In this conference we will present our results of image analysis that aims to retrieve the area and spatial distribution of winter wheat agriculture and paddy rice agriculture in China in 1999. In this country-scale image analysis we also incorporate synthetic aperture radar (e.g., Radarsat) and Landsat data. Our preliminary analysis of the VEGETATION 10-day composite data shows its great promising and potential for mapping and monitoring agriculture in China.