Abstract:

This paper takes China＇s major winter wheat production area  —— Huang-Huai-Hai region as research target and uses the EOS-MODIS data as the main data pool. According to different crop growing periods and combing with surface observation data, it adopts both vegetation water supply index and soil thermal inertia methods to establish a remote sensing and monitoring target system for drought situation based on soil moisture content, and has carried out monitoring on drought situation for winter wheat growing periods from 2006 to 2007. The result indicates that the changing tendency of drought situation gained by remote sensing was consistent with that by ground monitoring. This further indicates that the vegetation water supply index and the thermal inertia methods possess great potential in remote sensing and monitoring for regional drought situation.

Key words: drought monitoring, vegetation water supply index, soil thermal inertia

摘要：

以我国黄淮海冬小麦主产区为研究地点,以EOS-MODIS数据为主要数据源,针对不同作物生长时期,采用植被供水指数与土壤热惯量两种方法,结合地面观测数据建立以土壤水分为基础的旱情遥感监测指标体系,并对2006-2007年度冬小麦生育期的旱情进行了监测,结果表明,遥感旱情变化趋势与地面监测结果较为一致,进一步说明了植被供水指数与热惯量方法在区域旱情遥感监测中的潜力.

关键词: 旱情遥感监测 植被供水指数 土壤热惯量