Integrating Optical and Microwave Satellite Observations for High Resolution Soil Moisture Estimate and Applications in CONUS Drought Analyses
Journal Title: Remote Sensing - Year 2018, Vol 7, Issue 1
Abstract
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.
Authors and Affiliations
Donglian Sun, Yu Li, Xiwu Zhan, Chaowei Yang, Ruixin Yang
Keywords
Related Articles
- EP ID EP680275
- DOI -
- Views 219
- Downloads 0
The development characteristics of remote sensing classification technology in the Study of vegetation classification
Summary Remote Sensing technology evolving , The applies to vegetation classification studies with the following features : one , Remote sensing data from low-resolution to high resolution ; second , data from the single...
Block-adjustment algorithm and Test for Three-line-array Image of highresolution Remote sensing satellite
The geometric positioning process of high-resolution remote sensing satellite images was outlined. The necessity of block adjustment was analyzed. Combined with the imaging characteristics of line sensors, rigorous geome...
Problems and Countermeasures in the geological exploration of deep mineral
In view of the needs of the geological exploration of the deep mineral resources, the necessity, problems and Co Untermeasures of the geological exploration of the deep mineral resources are explored.
Urban Road Extraction High resolution remotely sensed imagery with Gabor texture and geometrical Features
Through the feature analysis of the frequency curve , The paper proposed a new method which integrated Gabor texture and geometrical features in the urban road Ction from high resolution remotely sensed imagery. in the e...
An optimized reconstruction algorithm for point spread Function Based on Slant Step Edge
The existing slant step edge methods, greatly influenced by the edge? s sub-pixel positioning precision, the Edge spread Function (ESF) Samples5 quality and fitting models of the ES F curve, do not perform-stability and...