Soil Moisture determination from Passive Microwave Remote Sensed data using ANN

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ID: 13824
2017
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Abstract
Soil moisture is a derived product of passive microwave remote sensors. But the soil moisture data from passive microwave sensors is often not correct for the places having large open water bodies. The present paper describes a technique of soil moisture determination from passive microwave brightness temperature values, by using ANN. Two ANNs are trained using either brightness temperature values or Polarization Index (PI) values as input with measured actual soil moisture values as target. The trained ANNs are then capable of estimating the soil moisture values with fair accuracy. The technique using PI and two brightness temperature values as input is found to be a better technique, due to less data requirement for both training and estimation.
Reference Key
nongdhar2017soiladbu Use this key to autocite in the manuscript while using SciMatic Manuscript Manager or Thesis Manager
Authors Deibanehbok Nongdhar;Raynauld Mark Pasi;Bikramjit Goswami;
Journal adbu journal of engineering technology
Year 2017
DOI
DOI not found
URL
http://journals.dbuniversity.ac.in/ojs/index.php/AJET/article/download/354/pdf_72
Keywords Keywords not found

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