Evaluation of Optical Remote Sensing Indexes to Calculate the Amount of Soil Moisture in Agricultural Lands (Case Study of Dehgolan City)

Esmaeili, Soror; Abianeh, H Zare; Hosseini, Seyed Zeynalabedin

doi:10.2139/ssrn.4472054

2023

DOI: 10.2139/ssrn.4472054

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Evaluation of Optical Remote Sensing Indexes to Calculate the Amount of Soil Moisture in Agricultural Lands (Case Study of Dehgolan City)

Soror Esmaeili¹,

H Zare Abianeh²,

Seyed Zeynalabedin Hosseini³

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Evaluation of Optical Remote Sensing Indexes to Calculate the Amount of Soil Moisture in Agricultural Lands (Case Study of Dehgolan City)

Cited by 1 publication

References 15 publications

A new approach in soil organic carbon estimation using machine learning algorithms: a study in a tropical forest in Vietnam

A new approach in soil organic carbon estimation using machine learning algorithms: a study in a tropical forest in Vietnam

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