A Review of Spatial Downscaling of Satellite Remotely Sensed Soil Moisture

Review on Soil Moisture Remote Sensing Techniques and Spatial Resolution Downscaling Methods

Document Blazon : Review

Authors

• E Ghafari
• A.R. Faridhosseini

Department of Water Science and Engineering, Ferdowsi University of Mashhad, Mashhad, Iran.

Abstract

Soil wet is a valuable parameter for h2o wheel over lands, controlling h2o fluxes between the atmosphere, land surface and subsurface, through evaporation and plant transpiration. Measurement and recording of soil moisture observations as in-situ data cannot meet human needs. The availability of global soil moisture maps which is possible using remote sensing sensors, will benefit many awarding, including precipitation forecasting, alluvion prediction, drought monitoring and agronomical related applications. These maps must be provided at suitable scale. This is washed by spatially downscaling of the soil moisture observations. Spatial downscaling of soil wet measured by satellites should provide 2 purposes in order to use this parameter in hydrological, meteorological and agricultural applications: 1- Achieving to medium resolution (approximately 10 km), ii- Sufficient retrieval accuracy. It is evident that fulfilling both purposes using a unmarried sensor is difficult. Therefore, complementary downscaling using a range of observation types has been proposed as an approach to overcome these scale and accuracy issues, by combining the merits from different sensors. In this paper, the soil moisture remote sensing techniques and besides, 2 bones bachelor downscaling approaches which have the potential to fulfil the stated requirements on resolution and accurateness are introduced and their pros and cons are investigated.

Keywords

• Remote Sensing of Soil Wet
• Downscaling Algorithms
• Spatial Resolution

Main Subjects

• Irrigation and Agriculture

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History

• Receive Appointment: 15 June 2020
• Accept Date: 15 September 2020
• Commencement Publish Date: 19 February 2021

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