期刊名称：ISPRS Annals of the Photogrammetry, Remote Sensing and Spatial Information Sciences
印刷版ISSN：2194-9042
电子版ISSN：2194-9050
出版年度：2004
卷号：XXXV Part B7
页码：664-668
出版社：Copernicus Publications
摘要：To use of remote sensing techniques for Agricultural monitoring, it needs semi-real time data acquisition, treatment, and distribution. For this reason we are now developing Satellite Image Data Base System (SIDaB). First, I introduce our SIDaB system, and our future plane of satellites data acquisition. Using network system such as Asia Pacific Advanced Network (APAN), we get NOAA/AVHRR, TERRA&AQUA/MODIS and DMSP/OLS data in semi-real time. Next, I mention about vegetation monitoring system. We are also developing Agriculture -monitor ing system in East Asia using NOAA/AVHRR data. Every ten days maximum Nor malized Difference Vegetation Index ( NDVI) is compar ed with past thr ee years average of ten days maximum NDVI value. The standard ten-days NDVI images ar e created using the ten-days data of 1997-1999. To r educe the cloud noise, the maximum value of NDVI is used for ten- days composites. When the average value is calculated, the minus NDVI pixels are eliminated, since there is the cloud pixels even in ten-days composite. Then, the diff erence NDVI images between the standard ten-days NDVI images and up-to-date ten-days NDVI images are calculated. Using these difference NDVI images, it is possible to detect the area of dr ought damage on agriculture. The minus difference (<-0.1) pixels are listed as drought risk area in spring and summer
关键词：Remote sensing; Agr iculture; Crop; Comparison; Terrestrial; System
