Integrating Optical and Microwave Satellite Observations for High Resolution Soil Moisture Estimate and Applications in CONUS Drought Analyses  

作　　者：Donglian Sun Yu Li Xiwu Zhan Chaowei Yang Ruixin Yang 

机构地区：[1]Dept. of Geography and Geoinformation Science, George Mason University, Fairfax, VA 22030, USA [2]NOAA/NESDIS Center for Satellite Applications and Research, College Park, MD 20742, USA

出　　处：《Remote Sensing》2018年第1期40-51,共12页遥感

摘　　要：In this study, optical and microwave satellite observations are integrated to estimate soil moisture at the same spatial resolution as the optical sensors (5km here) and applied for drought analysis in the continental United States. A new refined model is proposed to include auxiliary data like soil texture, topography, surface types, accumulated precipitation, in addition to Normalized Difference Vegetation Index (NDVI) and Land Surface Temperature (LST) used in the traditional universal triangle method. It is found the new proposed soil moisture model using accumulated precipitation demonstrated close agreements with the U.S. Drought Monitor (USDM) spatial patterns. Currently, the USDM is providing a weekly map. Recently,“flash” drought concept appears. To obtain drought map on daily basis, LST is derived from microwave observations and downscaled to the same resolution as the thermal infrared LST product and used to fill the gaps due to clouds in optical LST data. With the integrated daily LST available under nearly all weather conditions, daily soil moisture can be estimated at relatively higher spatial resolution than those traditionally derived from passive microwave sensors, thus drought maps based on soil moisture anomalies can be obtained on daily basis and made the flash drought analysis and monitoring become possible.

关 键 词：Soil MOISTURE High spatial resolution Regional DROUGHT MICROWAVE and OPTICAL satellite remote sensing 

分 类 号：T[一般工业技术]