基于TVDI的大范围干旱区土壤水分遥感反演模型研究

温度植被干旱指数TVDI（Temperature Vegetation Dryness Index）是一种基于光学与热红外遥感通道数据进行植被覆盖区域表层土壤水分反演的方法。当研究区域较大、地表覆盖格局差异显著时,利用TVDI模型来反演陆表土壤水分,精度通常较低。对Sandholt的TVDI土壤水分反演模型进行了改进：...

TVDI based Soil Moisture Retrieval from Remotely Sensed Data over Large Arid Areas

Temperature Vegetation Dryness Index (TVDI) is an extensively used method for land surface soil moisture retrieval from optical and thermal\|infrared remote sensing data.This study adapts the typical TVDI model that was proposed by Sandholt (2002),to retrieve soil moisture information from TERRA/MODIS data in Xinjiang,west China.Improvements mainly include:① cloud\|mask correction and 16\|day averaged temperature composition approaches are used to reduce the impacts of clouds in TVDI\|based soil moisture inversion;② the problems caused by the topographic,thermal radiation and land\|cover differences over a large area are also addressed in the adjusted TVDI model;③ the modeling of TVDI dry edge is also adjusted to reduce the errors in soil moisture retrieval from MODIS data.In\|situ measurements in the study area were collected with the soil sampling instrument,and used to derive the model parameters and verify the adjusted model outputs.The result shows that the modified TVDI model can give better estimation of land surface soil moisture from MODIS data in a typical arid area,Xinjiang.