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A Brief Review on Soil Salinity Mapping by Optical and Radar Remote Sensing

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Research Developments in Saline Agriculture

Abstract

This paper summarized the recent progress in soil salinity detection, prediction, quantification, and mapping by remote sensing technology. The following aspects such as classification-based mapping technique, biophysical indicators and spectral indices application, potential of radar data, and machine learning regression were all reviewed.

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Abbreviations

ANN:

Artificial neural networks

ARVI:

Atmospherically resistant vegetation index

CNN:

Convolutional neural networks

DEM:

Digital elevation model

EVI:

Enhanced vegetation index

GDVI:

Generalized difference vegetation index

IBL :

Instance-based learning

LST :

Land surface temperature

ML :

Maximum likelihood

MLR :

Multivariate linear regression

NDVI :

Normalized difference vegetation index

NDII :

Normalized difference infrared index

NIR :

Near infrared

OSAVI:

Optimized soil-adjusted vegetation index

PCA :

Principal components analysis

PLSR :

Partial least square regression

R :

Red

RF :

Random forests

RFR :

Random forest regression

SAR :

Synthetic-aperture radar

SARVI :

Soil-adjusted and atmospherically resistant vegetation index

SAVI :

Soil-adjusted vegetation index

SI :

Salinity index

SVM :

Support vector machines

SVR :

Support vector regression

SWIR :

Shortwave infrared

VNIR :

Visible and near infrared

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Acknowledgment

The author would like to thank East China University of Technology for their financial support (Grant No: DHTP2018001, 2018-2022).

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Authors and Affiliations

  1. Key Laboratory of Digital Land & Resources, East China University of Technology, Nanchang, Jiangxi, China

    Weicheng Wu

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  1. Weicheng Wu
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Correspondence to Weicheng Wu .

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Editors and Affiliations

  1. Natural Resource Management, Indian Council of Agricultural Research, Krishi Anusandhan Bhawan-II, Pusa, New Delhi, India

    Jagdish Chander Dagar

  2. ICAR-Central Soil Salinity Research Institute, Karnal, Haryana, India

    Rajender Kumar Yadav

  3. Natural Resource Management, Indian Council of Agricultural Research, Krishi Anusandhan Bhawan-II, Pusa, New Delhi, India

    Parbodh Chander Sharma

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Wu, W. (2019). A Brief Review on Soil Salinity Mapping by Optical and Radar Remote Sensing. In: Dagar, J., Yadav, R., Sharma, P. (eds) Research Developments in Saline Agriculture. Springer, Singapore. https://doi.org/10.1007/978-981-13-5832-6_2

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