Microwave Scattering for Soil Texture at X-Band and Its Retrieval Using Genetic Algorithm

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ISSN Print: 2169-267X
ISSN Online: 2169-2688
www.scirp.org/journal/ars
E-mail: ars@scirp.org

"Microwave Scattering for Soil Texture at X-Band and Its Retrieval Using Genetic Algorithm"
written by Rajesh Tiwari, R. K. Singh, D. S. Chauhan, O. P. Singh, R. Prakash, D. Singh,
published by Advances in Remote Sensing, Vol.3 No.3, 2014

has been cited by the following article(s):

[1]	Use of Airborne Radar Images and Machine Learning Algorithms to Map Soil Clay, Silt, and Sand Contents in Remote Areas under the Amazon Rainforest
	Remote Sensing, 2022

[2]	Bistatic Scattering Characteristics of Wheat and Soybean by Radiative Transfer Model in L Band and C Band
	Progress In Electromagnetics Research B, 2016

[3]	A synergistic approach for soil moisture estimation using modified Dubois model with dual-polarized SAR and optical satellite data
	Proceedings Volume 9877, Land Surface and Cryosphere Remote Sensing III, 2016

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[1]	Use of Airborne Radar Images and Machine Learning Algorithms to Map Soil Clay, Silt, and Sand Contents in Remote Areas under the Amazon Rainforest Remote Sensing, 2022 DOI:10.3390/rs14225711

[2]	Derivation of Soil Moisture using Modified Dubois Model with field assisted surface roughness on RISAT-1 data Earth Sciences Research Journal, 2018 DOI:10.15446/esrj.v22n1.59972