基于植被供水指数的农田干旱遥感监测研究  

Remote Sensing Monitoring of Farmland Drought Based on Vegetation Supply Water Index

作　　者：莫伟华[1] 王振会[1] 孙涵[2] 马轮基[2] 何立[2] 

机构地区：[1]南京信息工程大学江苏省气象灾害重点实验室 [2]国家卫星气象中心遥感应用试验基地,广西南宁530022

出　　处：《南京气象学院学报》2006年第3期396-401,共6页Journal of Nanjing Institute of Meteorology

基　　金：广西自治区气象局科研项目资助

摘　　要：应用1995—2000年NOAA卫星资料,结合广西贵港市的数字化土地利用信息,通过时序分析方法找出典型作物代表区,并计算各典型代表区的平均、最大、最小VSW I(Vegetation SupplyW a-ter Index;植被供水指数)特征值,归纳分析水田和旱地的干旱指标,继而根据典型代表区的平均VSW I值划分旱情等级,生成农田旱情遥感图像,评估干旱情况。试验表明,该方法可用于湿润、半湿润地区的农田干旱遥感监测。The vegetation index retrieved from satellite remote sensing data and the surface brightness temperature are two key factors, which can illustrate the drought extent of vegetation-covered surface. The vegetation supply water index （ VSWI ） , the ratio of normalized difference vegetation index to land surface temperature,is one of the effective methods to assess farmland drought with satellite remote sensing. The NOAA satellite data from 1995 to 2000 and the digital information of land application in Guigang city of Guangxi Province are temporarily analyzed in this paper. Typical crop representative areas are found and characteristic values of averaged maximum and minimum VSWI for those areas calculated. The drought index for paddy field and nonirrigated farmland is induced and analyzed. Based on the averaged VSWI values of typical representative areas, the drought level is divided and then remote sensing images of farmland drought are produced to assess the drought situation. Experiments indicate that the above method is able to remotely monitor the farmland drought in the moist and semi-moist areas.

关 键 词：农田干旱 遥感监测 植被供水指数 

分 类 号：S127[农业科学—农业基础科学]