Publication: A Spatio-Temporal Algorithm for Merging Soil Moisture from Active and Passive Microwave Remote Sensing

Posted on Posted in Agriculture, Algorithm Development, Disaster Management, Environment, Geospatial Modelling, GIS solutions, Mathematical Modelling, News, Satellite Remote Sensing, Validation of satellite retrieved variables, Water Resources

Currently the soil moisture is available either at coarse spatial scale from passive microwave remote sensing or at infrequent repeat time from active microwave remote sensing. A novel MAPSM algorithm is developed which merges Active and Passive microwave Soil Moisture to obtain a higher spatio-temporal soil moisture which is a prerequisite for various hydrological, agricultural and meteorological applications. The approach has been tested over the Berambadi watershed located in a semi-arid tropical region in the Karnataka state of south India.  The algorithm is applied and validated using the RADARSAT-2 and in-situ soil moisture measurements during a period of 3 years spanning from 2010 to 2013. The results show that MAPSM is able to provide a good estimate of soil moisture.

Spatial and temporal resolution using a logarithmic scale for the active microwave (SAR), passive microwave (SMOS, SMAP) and MAPSM soil moisture products.

The details of the article are available here.

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