Estimation of improved resolution soil moisture in vegetated areas using passive AMSR-E data

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Abstract

Microwave remote sensing provides a unique capability for soil parameter retrievals. Therefore, various soil parameters estimation models have been developed using brightness temperature (BT) measured by passive microwave sensors. Due to the low resolution of satellite microwave radiometer data, the main goal of this study is to develop a downscaling approach to improve the spatial resolution of soil moisture estimates with the use of higher resolution visible/infrared sensor data. Accordingly, after the soil parameters have been obtained using Simultaneous Land Parameters Retrieval Model algorithm, the downscaling method has been applied to the soil moisture estimations that have been validated against in situ soil moisture data. Advance Microwave Scanning Radiometer-EOS BT data in Soil Moisture Experiment 2003 region in the south and north of Oklahoma have been used to this end. Results illustrated that the soil moisture variability is effectively captured at 5 km spatial scales without a significant degradation of the accuracy.

Keywords

Soil moisture land surface parameters SLPRM AMSR-E downscaling MODIS 

Notes

Acknowledgements

The authors thank the three anonymous reviewers for their comments, which have helped to improve this manuscript.

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Copyright information

© Indian Academy of Sciences 2018

Authors and Affiliations

  1. 1.Department of Geomatics, Faculty of Civil and Transportation EngineeringUniversity of IsfahanIsfahanIran
  2. 2.Remote Sensing Division, School of Surveying and Geospatial Engineering, College of EngineeringUniversity of TehranTehranIran

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