农作物含水量的遥感反演

基金项目: 国家863计划资助项目(2006AA06Z419)；国家农业科技成果转化基金资助项目(2006GB24910473)

详细信息

Retrieval of Water Content of Crop Based on Remote Sensing

¹Institute of Remote Sensing Applications,Chinese Academy of Sciences,20A Datun Road,Beijing 100101,China;²Institute of Surveying and Mapping,Information Engineering University,66 Middle Longhai Road,Zhengzhou 450052,China

Funds: 国家863计划资助项目(2006AA06Z419)；国家农业科技成果转化基金资助项目(2006GB24910473)

摘要: 利用遥感手段,在短波角度斜率指数(shortwave angle slope index,SASI)的基础上,采用全局植被湿度指数(global vegetation moisture index,GVMI)获取单位面积的植被冠层水分含量(EWTcanopy),建立了农作物水分含量的相关统计模型,并对黄淮海平原农作物水分含量进行反演研究。结果表明,该角度指数模型与EWTcanopy之间有很强的相关性,由此模型计算得到的黄淮海平原农作物水分含量,与同期的土壤相对湿度有较强的一致性。
- 植被水分 /
- 角度指数 /
- SASI /
- MODIS /
- GVMI
Abstract: Remote sensing is able to provide the information of crop's growing way and an absence of water quickly,real-timely and in a large area,and make up the shortcoming of measurement in the field.We constructed a relevant statistic model for predicting crop water content based on shortwave angle slope Index(SASI),which uses the equivalent water thickness per unit area at canopy(EWTcanopy) receiving from global vegetation moisture index(GVMI).At the same time,the model was used to retrieve the water content of crop in Huanghuaihai plain in China.The result shows that the angle index model has strong correlation with EWTcanopy,and the water content of crop gets from it has good consistency with the relative moisture of soil at the same term.
- vegetation water /
- angle index /
- SASI /
- MODIS /
- GVMI