关键词: 旱情遥感监测 植被供水指数 土壤热惯量

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