ESTIMATING SOIL MOISTURE USING POLSAR DATA:
A MACHINE LEARNING APPROACH

ESTIMATING SOIL MOISTURE USING POLSAR DATA: A MACHINE LEARNING APPROACH

Soil moisture is an important parameter that affects several environmental processes. This parameter has many important functions in numerous sciences including agriculture, hydrology, aerology, flood prediction, and drought occurrence. However, field procedures for moisture calculations are not fea...

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Bibliographic Details
Main Authors:	E. Khedri, M. Hasanlou, A. Tabatabaeenejad
Format:	Article
Language:	English
Published:	Copernicus Publications 2017-09-01
Series:	The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences
Online Access:	https://www.int-arch-photogramm-remote-sens-spatial-inf-sci.net/XLII-4-W4/133/2017/isprs-archives-XLII-4-W4-133-2017.pdf

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