基于植被指数和地表温度的冬小麦遥感干旱监测  

Monitoring Spring Drought of Winter Wheat with Vegetation Index and Land Surface Temperature

作　　者：李震坤 王云龙[2] 钱艳园[2] 高鹏 

机构地区：[1]内蒙古出入境检验检疫局,呼和浩特010020 [2]南京信息工程大学环境科学与工程学院,江苏210044 [3]内蒙古煤炭建设生态环境研究院,呼和浩特010020

出　　处：《环境与发展》2011年第8期157-160,162,共5页Environment & Development

摘　　要：针对河北省冬小麦主要种植区2007年发生的一次春旱过程,利用MODIS 8天合成遥感资料,结合地面站点数据,分析植被供水指数及其多年距平值在冬小麦生长旺期对站点和区域尺度的旱情响应,探求其在河北省冬小麦旱情日常监测中的可操作性。研究结果表明:在三个典型干旱站点,植被供水指数多年距平值与土壤相对湿度多年距平值有较为一致的时间动态;在区域尺度,植被供水指数对水分亏缺状况敏感,与20cm土壤相对湿度的相关性较好。利用植被供水指数建立的遥感监测模型可用于反演冬小麦种植区旱情空间格局,结果与地面观测资料基本吻合。A serious drought occurred in winter wheat areas of Hebei Province in 2007. Based on soil relative moisture （RSM） data from agrometeorological stations and MODIS remote sensing data（ 8 day composite）, Vegetation Supply Water Index（VSWI） and its anomalies was used to analyze the winter wheat＇s response to drought. The results showed that ： In three typical stations （ Nangong , Xingtang and Yans- han） , the anomalies of VSWI and the anomalies of RSM have a consistent trend ; In regional scale , VSWI is sensitive to water stress conditions. VSWI has a better correlation with soil moisture at 20cm depth. The detailed spatial patterns of drought in winter wheat areas derived from remote sensing monitoring model is coincident with statistics of meteorological site.

关 键 词：冬小麦 干旱 遥感响应 植被供水指数 

分 类 号：X835[环境科学与工程—环境工程]