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| 基于植被供水指数的农田干旱遥感监测研究 | |
| 引用本文： | MO Wei-hua,莫伟华,王振会,孙涵,马轮基,何立.基于植被供水指数的农田干旱遥感监测研究[J].南京气象学院学报,2006,29(3):396-401. |
| 作者姓名： | MO Wei-hua 莫伟华 王振会 孙涵 马轮基 何立 |
| 作者单位： | 1. 南京信息工程大学,江苏省气象灾害重点实验室,江苏,南京,210044;南京信息工程大学,电子工程系,江苏,南京,210044;国家卫星气象中心,遥感应用试验基地,广西,南宁,530022 2. 南京信息工程大学,江苏省气象灾害重点实验室,江苏,南京,210044;南京信息工程大学,电子工程系,江苏,南京,210044 3. 国家卫星气象中心,遥感应用试验基地,广西,南宁,530022 |
| 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VSWI（Vegetation Supply Water 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VSWI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。 |
| 关 键 词： | 农田干旱 遥感监测 植被供水指数 |
| 文章编号： | 1000-2022（2006）03-0396-06 |
| 收稿时间： | 03 2 2005 12:00AM |
| 修稿时间： | 2005-03-022005-07-04 |
Remote Sensing Monitoring of Farmland Drought Based on Vegetation Supply Water Index |
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| MO Wei-hua.Remote Sensing Monitoring of Farmland Drought Based on Vegetation Supply Water Index[J].Journal of Nanjing Institute of Meteorology,2006,29(3):396-401. | |
| Authors: | MO Wei-hua |
| Institution: | 1. Jiangsu Key Laboratory of Meteorological Disaster, NUIST, Nanjing 210044, China; 2. Department of Electronic Engineering, NUIST, Nanjing 210044, China ; 3. Remote Sensing Application Experimental Basis,NSMC,Nanning 530022,China |
| Abstract: | 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. |
| Keywords: | farmland drought remote sensing monitoring vegetation supply water index |
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