23.2.16 Soil Salinity Measurements

Chapter Contents (Back)
Salinity. Soil Salinity.

Allbed, A.[Amal], Kumar, L.[Lalit], Sinha, P.[Priyakant],
Mapping and Modelling Spatial Variation in Soil Salinity in the Al Hassa Oasis Based on Remote Sensing Indicators and Regression Techniques,
RS(6), No. 2, 2014, pp. 1137-1157.
DOI Link 1403
BibRef

Moreira, L.C.J.[Luis Clenio J.], dos Santos Teixeira, A.[Adunias], Soares Galvăo, L.[Lęnio],
Laboratory Salinization of Brazilian Alluvial Soils and the Spectral Effects of Gypsum,
RS(6), No. 4, 2014, pp. 2647-2663.
DOI Link 1405
BibRef

Nawar, S.[Said], Buddenbaum, H.[Henning], Hill, J.[Joachim], Kozak, J.[Jacek],
Modeling and Mapping of Soil Salinity with Reflectance Spectroscopy and Landsat Data Using Two Quantitative Methods (PLSR and MARS),
RS(6), No. 11, 2014, pp. 10813-10834.
DOI Link 1412
BibRef

Wu, Y.[Yueru], Wang, W.Z.[Wei-Zhen], Zhao, S.J.[Shao-Jie], Liu, S.[Suhua],
Dielectric Properties of Saline Soils and an Improved Dielectric Model in C-Band,
GeoRS(53), No. 1, January 2015, pp. 440-452.
IEEE DOI 1410
curve fitting BibRef

Nurmemet, I.[Ilyas], Ghulam, A.[Abduwasit], Tiyip, T.[Tashpolat], Elkadiri, R.[Racha], Ding, J.L.[Jian-Li], Maimaitiyiming, M.[Matthew], Abliz, A.[Abdulla], Sawut, M.[Mamat], Zhang, F.[Fei], Abliz, A.[Abdugheni], Sun, Q.[Qian],
Monitoring Soil Salinization in Keriya River Basin, Northwestern China Using Passive Reflective and Active Microwave Remote Sensing Data,
RS(7), No. 7, 2015, pp. 8803.
DOI Link 1506
BibRef

Xu, C.[Chi], Zeng, W.Z.[Wen-Zhi], Huang, J.S.[Jie-Sheng], Wu, J.W.[Jing-Wei], van Leeuwen, W.J.D.[Willem J.D.],
Prediction of Soil Moisture Content and Soil Salt Concentration from Hyperspectral Laboratory and Field Data,
RS(8), No. 1, 2016, pp. 42.
DOI Link 1602
BibRef

Bai, L.[Lin], Wang, C.Z.[Cui-Zhen], Zang, S.Y.[Shu-Ying], Zhang, Y.H.[Yu-Hong], Hao, Q.[Qiannan], Wu, Y.X.[Yue-Xiang],
Remote Sensing of Soil Alkalinity and Salinity in the Wuyu'er-Shuangyang River Basin, Northeast China,
RS(8), No. 2, 2016, pp. 163.
DOI Link 1603
BibRef

Xu, L.[Lu], Wang, Q.[Quan],
Retrieval of Soil Water Content in Saline Soils from Emitted Thermal Infrared Spectra Using Partial Linear Squares Regression,
RS(7), No. 11, 2015, pp. 14646.
DOI Link 1512
BibRef

da Rocha Neto, O.C.[Odílio Coimbra], dos Santos Teixeira, A.[Adunias], Leăo, d.A.[de_Oliveira_Raimundo Alípio], Moreira, L.C.J.[Luis Clenio Jario], Galvăo, L.S.[Lęnio Soares],
Hyperspectral Remote Sensing for Detecting Soil Salinization Using ProSpecTIR-VS Aerial Imagery and Sensor Simulation,
RS(9), No. 1, 2017, pp. xx-yy.
DOI Link 1702
BibRef

Lugassi, R.[Rachel], Goldshleger, N.[Naftaly], Chudnovsky, A.[Alexandra],
Studying Vegetation Salinity: From the Field View to a Satellite-Based Perspective,
RS(9), No. 2, 2017, pp. xx-yy.
DOI Link 1703
BibRef

Yang, X., Yu, Y.,
Estimating Soil Salinity Under Various Moisture Conditions: An Experimental Study,
GeoRS(55), No. 5, May 2017, pp. 2525-2533.
IEEE DOI 1705
salinity (geophysical), soil, SSC estimated error, exponent function, laboratory experiment, land desertification processes, large-scale SSC mapping, mean-square error, remote sensing technology, soil reflectance spectra, soil salinity, various moisture conditions, Moisture, Remote sensing, Salinity (geophysical), Soil moisture, Surface waves, Hyperspectral imaging, parameter estimation, predictive models, salinity, soil moisture, soil properties, spectral analysis, spectroscopy BibRef

Liu, L.[Lanfa], Ji, M.[Min], Buchroithner, M.[Manfred],
A Case Study of the Forced Invariance Approach for Soil Salinity Estimation in Vegetation-Covered Terrain Using Airborne Hyperspectral Imagery,
IJGI(7), No. 2, 2018, pp. xx-yy.
DOI Link 1802
BibRef

Nurmemet, I.[Ilyas], Sagan, V.[Vasit], Ding, J.L.[Jian-Li], Halik, Ü.[Ümüt], Abliz, A.[Abdulla], Yakup, Z.[Zaytungul],
A WFS-SVM Model for Soil Salinity Mapping in Keriya Oasis, Northwestern China Using Polarimetric Decomposition and Fully PolSAR Data,
RS(10), No. 4, 2018, pp. xx-yy.
DOI Link 1805
BibRef

Fan, X.W.[Xing-Wang], Liu, Y.B.[Yuan-Bo], Tao, J.M.[Jin-Mei], Weng, Y.L.[Yong-Ling],
Soil Salinity Retrieval from Advanced Multi-Spectral Sensor with Partial Least Square Regression,
RS(7), No. 1, 2015, pp. 488-511.
DOI Link 1502
BibRef

Bannari, A.[Abderrazak], El-Battay, A.[Ali], Bannari, R.[Rachid], Rhinane, H.[Hassan],
Sentinel-MSI VNIR and SWIR Bands Sensitivity Analysis for Soil Salinity Discrimination in an Arid Landscape,
RS(10), No. 6, 2018, pp. xx-yy.
DOI Link 1806
BibRef

Meissner, T.[Thomas], Wentz, F.J.[Frank J.], Le Vine, D.M.[David M.],
The Salinity Retrieval Algorithms for the NASA Aquarius Version 5 and SMAP Version 3 Releases,
RS(10), No. 7, 2018, pp. xx-yy.
DOI Link 1808
BibRef

Fu, C.B.[Cheng-Biao], Gan, S.[Shu], Yuan, X.P.[Xi-Ping], Xiong, H.G.[Hei-Gang], Tian, A.H.[An-Hong],
Determination of Soil Salt Content Using a Probability Neural Network Model Based on Particle Swarm Optimization in Areas Affected and Non-Affected by Human Activities,
RS(10), No. 9, 2018, pp. xx-yy.
DOI Link 1810
BibRef

Hoa, P.V.[Pham Viet], Giang, N.V.[Nguyen Vu], Binh, N.A.[Nguyen An], Hai, L.V.H.[Le Vu Hong], Pham, T.D.[Tien-Dat], Hasanlou, M.[Mahdi], Bui, D.T.[Dieu Tien],
Soil Salinity Mapping Using SAR Sentinel-1 Data and Advanced Machine Learning Algorithms: A Case Study at Ben Tre Province of the Mekong River Delta (Vietnam),
RS(11), No. 2, 2019, pp. xx-yy.
DOI Link 1902
BibRef

Li, X.J.[Xiao-Jie], Ren, J.H.[Jian-Hua], Zhao, K.[Kai], Liang, Z.W.[Zheng-Wei],
Correlation between Spectral Characteristics and Physicochemical Parameters of Soda-Saline Soils in Different States,
RS(11), No. 4, 2019, pp. xx-yy.
DOI Link 1903
BibRef

Hu, J.[Jie], Peng, J.[Jie], Zhou, Y.[Yin], Xu, D.Y.[Dong-Yun], Zhao, R.Y.[Rui-Ying], Jiang, Q.S.[Qing-Song], Fu, T.T.[Ting-Ting], Wang, F.[Fei], Shi, Z.[Zhou],
Quantitative Estimation of Soil Salinity Using UAV-Borne Hyperspectral and Satellite Multispectral Images,
RS(11), No. 7, 2019, pp. xx-yy.
DOI Link 1904
BibRef

Wang, S.[Sijia], Chen, Y.H.[Yun-Hao], Wang, M.G.[Ming-Guo], Zhao, Y.F.[Yi-Fei], Li, J.[Jing],
SPA-Based Methods for the Quantitative Estimation of the Soil Salt Content in Saline-Alkali Land from Field Spectroscopy Data: A Case Study from the Yellow River Irrigation Regions,
RS(11), No. 8, 2019, pp. xx-yy.
DOI Link 1905
BibRef

Zhang, S.M.[Su-Ming], Zhao, G.X.[Geng-Xing],
A Harmonious Satellite-Unmanned Aerial Vehicle-Ground Measurement Inversion Method for Monitoring Salinity in Coastal Saline Soil,
RS(11), No. 14, 2019, pp. xx-yy.
DOI Link 1908
BibRef

Wang, S.[Sijia], Chen, Y.H.[Yun-Hao], Wang, M.G.[Ming-Guo], Li, J.[Jing],
Performance Comparison of Machine Learning Algorithms for Estimating the Soil Salinity of Salt-Affected Soil Using Field Spectral Data,
RS(11), No. 22, 2019, pp. xx-yy.
DOI Link 1911
BibRef

Wang, J.J.[Jian-Jun], Sun, Q.[Quan], Shang, J.L.[Jia-Li], Zhang, J.H.[Jia-Hua], Wu, F.[Fei], Zhou, G.S.[Gui-Sheng], Dai, Q.G.[Qi-Gen],
A New Approach for Estimating Soil Salinity Using A Low-Cost Soil Sensor In Situ: A Case Study in Saline Regions of China's East Coast,
RS(12), No. 2, 2020, pp. xx-yy.
DOI Link 2001
BibRef

Tian, A., Fu, C., Yau, H., Su, X., Xiong, H.,
A New Methodology of Soil Salinization Degree Classification by Probability Neural Network Model Based on Centroid of Fractional Lorenz Chaos Self-Synchronization Error Dynamics,
GeoRS(58), No. 2, February 2020, pp. 799-810.
IEEE DOI 2001
Soil, Hyperspectral imaging, Chaotic communication, Neural networks, Soil measurements, Dynamic error, soil spectral reflectance BibRef

Wu, B., Li, X., Zhao, K., Jiang, T., Zheng, X., Li, X., Gu, L., Wang, X.,
A Nondestructive Conductivity Estimating Method for Saline-Alkali Land Based on Ground Penetrating Radar,
GeoRS(58), No. 4, April 2020, pp. 2605-2614.
IEEE DOI 2004
Ground penetrating radar, Soil, Conductivity, Correlation, Land surface, Soil measurements, Conductivity measurement, saline-alkali soil BibRef

Wang, Z.[Zheng], Zhang, F.[Fei], Zhang, X.L.[Xian-Long], Chan, N.W.[Ngai Weng], Kung, H.T.[Hsiang-Te], Zhou, X.H.[Xiao-Hong], Wang, Y.S.[Yi-Shan],
Quantitative Evaluation of Spatial and Temporal Variation of Soil Salinization Risk Using GIS-Based Geostatistical Method,
RS(12), No. 15, 2020, pp. xx-yy.
DOI Link 2008
BibRef

Ding, J.L.[Jian-Li], Yang, S.T.[Sheng-Tian], Shi, Q.[Qian], Wei, Y.[Yang], Wang, F.[Fei],
Using Apparent Electrical Conductivity as Indicator for Investigating Potential Spatial Variation of Soil Salinity across Seven Oases along Tarim River in Southern Xinjiang, China,
RS(12), No. 16, 2020, pp. xx-yy.
DOI Link 2008
BibRef

Bannari, A.[Abderrazak], Al-Ali, Z.M.[Zahra M.],
Assessing Climate Change Impact on Soil Salinity Dynamics between 1987-2017 in Arid Landscape Using Landsat TM, ETM+ and OLI Data,
RS(12), No. 17, 2020, pp. xx-yy.
DOI Link 2009
BibRef

Moussa, I.[Issaka], Walter, C.[Christian], Michot, D.[Didier], Boukary, I.A.[Issifou Adam], Nicolas, H.[Hervé], Pichelin, P.[Pascal], Guéro, Y.[Yadji],
Soil Salinity Assessment in Irrigated Paddy Fields of the Niger Valley Using a Four-Year Time Series of Sentinel-2 Satellite Images,
RS(12), No. 20, 2020, pp. xx-yy.
DOI Link 2010
BibRef

Li, H.Y.[Hong-Yi], Liu, X.[Xinlu], Hu, B.[Bifeng], Biswas, A.[Asim], Jiang, Q.S.[Qing-Song], Liu, W.Y.[Wei-Yang], Wang, N.[Nan], Peng, J.[Jie],
Field-Scale Characterization of Spatio-Temporal Variability of Soil Salinity in Three Dimensions,
RS(12), No. 24, 2020, pp. xx-yy.
DOI Link 2012
BibRef

Wang, N.[Nan], Xue, J.[Jie], Peng, J.[Jie], Biswas, A.[Asim], He, Y.[Yong], Shi, Z.[Zhou],
Integrating Remote Sensing and Landscape Characteristics to Estimate Soil Salinity Using Machine Learning Methods: A Case Study from Southern Xinjiang, China,
RS(12), No. 24, 2020, pp. xx-yy.
DOI Link 2012
BibRef

Peng, J.[Jie], Li, S.[Shuo], Makar, R.S.[Randa S.], Li, H.Y.[Hong-Yi], Feng, C.H.[Chun-Hui], Luo, D.[Defang], Shen, J.L.[Jia-Li], Wang, Y.[Ying], Jiang, Q.S.[Qing-Song], Fang, L.C.[Lin-Chuan],
Proximal Soil Sensing of Low Salinity in Southern Xinjiang, China,
RS(14), No. 18, 2022, pp. xx-yy.
DOI Link 2209
BibRef

Wang, Y.[Yu], Xie, M.[Modong], Hu, B.[Bifeng], Jiang, Q.S.[Qing-Song], Shi, Z.[Zhou], He, Y.F.[Yin-Feng], Peng, J.[Jie],
Desert Soil Salinity Inversion Models Based on Field In Situ Spectroscopy in Southern Xinjiang, China,
RS(14), No. 19, 2022, pp. xx-yy.
DOI Link 2210
BibRef

Szatmári, G.[Gábor], Bakacsi, Z.[Zsófia], Laborczi, A.[Annamária], Petrik, O.[Ottó], Pataki, R.[Róbert], Tóth, T.[Tibor], Pásztor, L.[László],
Elaborating Hungarian Segment of the Global Map of Salt-Affected Soils (GSSmap): National Contribution to an International Initiative,
RS(12), No. 24, 2020, pp. xx-yy.
DOI Link 2012
BibRef

Wang, J.Q.[Jia-Qiang], Peng, J.[Jie], Li, H.Y.[Hong-Yi], Yin, C.Y.[Cai-Yun], Liu, W.Y.[Wei-Yang], Wang, T.W.[Tian-Wei], Zhang, H.P.[Hua-Ping],
Soil Salinity Mapping Using Machine Learning Algorithms with the Sentinel-2 MSI in Arid Areas, China,
RS(13), No. 2, 2021, pp. xx-yy.
DOI Link 2101
BibRef

Gao, Y.[Yao], Liu, X.Q.[Xiu-Qing], Hou, W.T.[Wen-Tao], Han, Y.H.[Yong-Hui], Wang, R.[Robert], Zhang, H.[Heng],
Characteristics of Saline Soil in Extremely Arid Regions: A Case Study Using GF-3 and ALOS-2 Quad-Pol SAR Data in Qinghai, China,
RS(13), No. 3, 2021, pp. xx-yy.
DOI Link 2102
BibRef

Al-Ali, Z.M., Bannari, A., Rhinane, H., El-Battay, A., Shahid, S.A., Hameid, N.,
Validation and Comparison of Physical Models for Soil Salinity Mapping over an Arid Landscape Using Spectral Reflectance Measurements and Landsat-OLI Data,
RS(13), No. 3, 2021, pp. xx-yy.
DOI Link 2102
BibRef

Xie, W.P.[Wen-Ping], Yang, J.S.[Jing-Song], Yao, R.J.[Rong-Jiang], Wang, X.P.[Xiang-Ping],
Spatial and Temporal Variability of Soil Salinity in the Yangtze River Estuary Using Electromagnetic Induction,
RS(13), No. 10, 2021, pp. xx-yy.
DOI Link 2105
BibRef

Yu, T.[Tao], Jiapaer, G.[Guli], Bao, A.[Anming], Zheng, G.X.[Guo-Xiong], Jiang, L.L.[Liang-Liang], Yuan, Y.[Ye], Huang, X.R.[Xiao-Ran],
Using Synthetic Remote Sensing Indicators to Monitor the Land Degradation in a Salinized Area,
RS(13), No. 15, 2021, pp. xx-yy.
DOI Link 2108
BibRef

Qi, G.H.[Guang-Hui], Chang, C.Y.[Chun-Yan], Yang, W.[Wei], Gao, P.[Peng], Zhao, G.X.[Geng-Xing],
Soil Salinity Inversion in Coastal Corn Planting Areas by the Satellite-UAV-Ground Integration Approach,
RS(13), No. 16, 2021, pp. xx-yy.
DOI Link 2109
BibRef

Tian, A.H.[An-Hong], Fu, C.B.[Cheng-Biao], Yau, H.T.[Her-Terng], Su, X.Y.[Xiao-Yi], Xiong, H.G.[Hei-Gang],
Soil Salinization Level Monitoring and Classifying by Mixed Chaotic Systems,
RS(13), No. 19, 2021, pp. xx-yy.
DOI Link 2110
BibRef

Xu, X.[Xibo], Chen, Y.H.[Yun-Hao], Wang, M.G.[Ming-Guo], Wang, S.J.[Si-Jia], Li, K.N.[Kang-Ning], Li, Y.G.[Yong-Guang],
Improving Estimates of Soil Salt Content by Using Two-Date Image Spectral Changes in Yinbei, China,
RS(13), No. 20, 2021, pp. xx-yy.
DOI Link 2110
BibRef

Tian, A.H.[An-Hong], Zhao, J.[Junsan], Tang, B.[Bohui], Zhu, D.M.[Da-Ming], Fu, C.B.[Cheng-Biao], Xiong, H.G.[Hei-Gang],
Hyperspectral Prediction of Soil Total Salt Content by Different Disturbance Degree under a Fractional-Order Differential Model with Differing Spectral Transformations,
RS(13), No. 21, 2021, pp. xx-yy.
DOI Link 2112
BibRef

Naimi, S.[Salman], Ayoubi, S.[Shamsollah], Zeraatpisheh, M.[Mojtaba], Dematte, J.A.M.[Jose Alexandre Melo],
Ground Observations and Environmental Covariates Integration for Mapping of Soil Salinity: A Machine Learning-Based Approach,
RS(13), No. 23, 2021, pp. xx-yy.
DOI Link 2112
BibRef

Fu, C.B.[Cheng-Biao], Tian, A.H.[An-Hong], Zhu, D.M.[Da-Ming], Zhao, J.[Junsan], Xiong, H.G.[Hei-Gang],
Estimation of Salinity Content in Different Saline-Alkali Zones Based on Machine Learning Model Using FOD Pretreatment Method,
RS(13), No. 24, 2021, pp. xx-yy.
DOI Link 2112
BibRef

Gu, Q.Y.[Qian-Yi], Han, Y.[Yang], Xu, Y.P.[Ya-Ping], Yao, H.Y.[Hai-Yan], Niu, H.F.[Hao-Fang], Huang, F.[Fang],
Laboratory Research on Polarized Optical Properties of Saline-Alkaline Soil Based on Semi-Empirical Models and Machine Learning Methods,
RS(14), No. 1, 2022, pp. xx-yy.
DOI Link 2201
BibRef

Jiang, X.F.[Xiao-Fang], Duan, H.C.[Han-Chen], Liao, J.[Jie], Guo, P.[Pinglin], Huang, C.[Cuihua], Xue, X.[Xian],
Estimation of Soil Salinization by Machine Learning Algorithms in Different Arid Regions of Northwest China,
RS(14), No. 2, 2022, pp. xx-yy.
DOI Link 2201
BibRef

Muhetaer, N.[Nuerbiye], Nurmemet, I.[Ilyas], Abulaiti, A.[Adilai], Xiao, S.[Sentian], Zhao, J.[Jing],
A Quantifying Approach to Soil Salinity Based on a Radar Feature Space Model Using ALOS PALSAR-2 Data,
RS(14), No. 2, 2022, pp. xx-yy.
DOI Link 2201
BibRef

Wei, Q.[Qinyu], Nurmemet, I.[Ilyas], Gao, M.H.[Min-Hua], Xie, B.Q.[Bo-Qiang],
Inversion of Soil Salinity Using Multisource Remote Sensing Data and Particle Swarm Machine Learning Models in Keriya Oasis, Northwestern China,
RS(14), No. 3, 2022, pp. xx-yy.
DOI Link 2202
BibRef

Rafik, A.[Abdellatif], Ibouh, H.[Hassan], Fels, A.E.A.E.[Abdelhafid El Alaoui El], Eddahby, L.[Lhou], Mezzane, D.[Daoud], Bousfoul, M.[Mohamed], Amazirh, A.[Abdelhakim], Ouhamdouch, S.[Salah], Bahir, M.[Mohammed], Gourfi, A.[Abdelali], Dhiba, D.[Driss], Chehbouni, A.[Abdelghani],
Soil Salinity Detection and Mapping in an Environment under Water Stress between 1984 and 2018 (Case of the Largest Oasis in Africa-Morocco),
RS(14), No. 7, 2022, pp. xx-yy.
DOI Link 2205
BibRef

Zhao, W.J.[Wen-Ju], Zhou, C.[Chun], Zhou, C.Q.[Chang-Quan], Ma, H.[Hong], Wang, Z.J.[Zhi-Jun],
Soil Salinity Inversion Model of Oasis in Arid Area Based on UAV Multispectral Remote Sensing,
RS(14), No. 8, 2022, pp. xx-yy.
DOI Link 2205
BibRef

Measho, S.[Simon], Li, F.[Fadong], Pellikka, P.[Petri], Tian, C.[Chao], Hirwa, H.[Hubert], Xu, N.[Ning], Qiao, Y.F.[Yun-Feng], Khasanov, S.[Sayidjakhon], Kulmatov, R.[Rashid], Chen, G.[Gang],
Soil Salinity Variations and Associated Implications for Agriculture and Land Resources Development Using Remote Sensing Datasets in Central Asia,
RS(14), No. 10, 2022, pp. xx-yy.
DOI Link 2206
BibRef

Hien, L.T.T.[Le Thi Thu], Gobin, A.[Anne], Lim, D.T.[Duong Thi], Quan, D.T.[Dang Tran], Hue, N.T.[Nguyen Thi], Thang, N.N.[Nguyen Ngoc], Binh, N.T.[Nguyen Thanh], Dung, V.T.K.[Vu Thi Kim], Linh, P.H.[Pham Ha],
Soil Moisture Influence on the FTIR Spectrum of Salt-Affected Soils,
RS(14), No. 10, 2022, pp. xx-yy.
DOI Link 2206
BibRef

AbdelRahman, M.A.E.[Mohamed A. E.], Afifi, A.A.[Ahmed A.], d'Antonio, P.[Paola], Gabr, S.S.[Safwat S.], Scopa, A.[Antonio],
Detecting and Mapping Salt-Affected Soil with Arid Integrated Indices in Feature Space Using Multi-Temporal Landsat Imagery,
RS(14), No. 11, 2022, pp. xx-yy.
DOI Link 2206
BibRef

Yan, Y.[Yang], Kayem, K.[Kader], Hao, Y.[Ye], Shi, Z.[Zhou], Zhang, C.[Chao], Peng, J.[Jie], Liu, W.Y.[Wei-Yang], Zuo, Q.[Qiang], Ji, W.J.[Wen-Jun], Li, B.G.[Bao-Guo],
Mapping the Levels of Soil Salination and Alkalization by Integrating Machining Learning Methods and Soil-Forming Factors,
RS(14), No. 13, 2022, pp. xx-yy.
DOI Link 2208
BibRef

Hall, K.[Kashawn], Daley, A.[Alton], Whitehall, S.[Shanice], Sandiford, S.[Sanola], Gentemann, C.L.[Chelle L.],
Validating Salinity from SMAP and HYCOM Data with Saildrone Data during EUREC4A-OA/ATOMIC,
RS(14), No. 14, 2022, pp. xx-yy.
DOI Link 2208
BibRef

Flores, J.L.G.[José Luis Gómez], Rodríguez, M.R.[Mario Ramos], Jiménez, A.G.[Alfonso González], Farzamian, M.[Mohammad], Galán, J.F.H.[Juan Francisco Herencia], Bellido, B.S.[Benito Salvatierra], Sacristan, P.C.[Pedro Cermeńo], Vanderlinden, K.[Karl],
Depth-Specific Soil Electrical Conductivity and NDVI Elucidate Salinity Effects on Crop Development in Reclaimed Marsh Soils,
RS(14), No. 14, 2022, pp. xx-yy.
DOI Link 2208
BibRef

Feizizadeh, B.[Bakhtiar], Omarzadeh, D.[Davoud], Alajujeh, K.M.[Keyvan Mohammadzadeh], Blaschke, T.[Thomas], Makki, M.[Mohsen],
Impacts of the Urmia Lake Drought on Soil Salinity and Degradation Risk: An Integrated Geoinformatics Analysis and Monitoring Approach,
RS(14), No. 14, 2022, pp. xx-yy.
DOI Link 2208
BibRef

Gu, Q.Y.[Qian-Yi], Han, Y.[Yang], Xu, Y.P.[Ya-Ping], Ge, H.T.[Hui-Tian], Li, X.J.[Xiao-Jie],
Extraction of Saline Soil Distributions Using Different Salinity Indices and Deep Neural Networks,
RS(14), No. 18, 2022, pp. xx-yy.
DOI Link 2209
BibRef

Zhou, Y.[Yin], Chen, S.C.[Song-Chao], Hu, B.[Bifeng], Ji, W.J.[Wen-Jun], Li, S.[Shuo], Hong, Y.S.[Yong-Sheng], Xu, H.Y.[Han-Yi], Wang, N.[Nan], Xue, J.[Jie], Zhang, X.L.[Xiang-Lin], Xiao, Y.[Yi], Shi, Z.[Zhou],
Global Soil Salinity Prediction by Open Soil Vis-NIR Spectral Library,
RS(14), No. 21, 2022, pp. xx-yy.
DOI Link 2212
BibRef

Jiang, X.F.[Xiao-Fang], Xue, X.[Xian],
Comparing Gaofen-5, Ground, and Huanjing-1A Spectra for the Monitoring of Soil Salinity with the BP Neural Network Improved by Particle Swarm Optimization,
RS(14), No. 22, 2022, pp. xx-yy.
DOI Link 2212
BibRef

Jia, P.P.[Ping-Ping], Zhang, J.[Junhua], He, W.[Wei], Yuan, D.[Ding], Hu, Y.[Yi], Zamanian, K.[Kazem], Jia, K.[Keli], Zhao, X.N.[Xiao-Ning],
Inversion of Different Cultivated Soil Types' Salinity Using Hyperspectral Data and Machine Learning,
RS(14), No. 22, 2022, pp. xx-yy.
DOI Link 2212
BibRef

Yin, S.H.[Shu-Hui], Tian, Y.[Yuan], Yang, L.S.[Lin-Sheng], Wen, Q.Q.[Qi-Qian], Wei, B.G.[Bing-Gan],
Dynamics of Spatiotemporal Variation of Groundwater Arsenic Due to Salt-Leaching Irrigation and Saline-Alkali Land,
RS(14), No. 21, 2022, pp. xx-yy.
DOI Link 2212
BibRef

Huang, X.[Xi], Bai, T.C.[Tie-Cheng], Guan, H.[Huade], Wei, X.[Xiayong], Wang, Y.[Yali], Mao, X.M.[Xiao-Min],
An Improved Exponential Model Considering a Spectrally Effective Moisture Threshold for Proximal Hyperspectral Reflectance Simulation and Soil Salinity Estimation,
RS(14), No. 24, 2022, pp. xx-yy.
DOI Link 2212
BibRef

Tan, J.[Jiao], Ding, J.[Jianli], Han, L.[Lijing], Ge, X.Y.[Xiang-Yu], Wang, X.[Xiao], Wang, J.[Jiao], Wang, R.[Ruimei], Qin, S.F.[Shao-Feng], Zhang, Z.[Zhe], Li, Y.K.[Yong-Kang],
Exploring PlanetScope Satellite Capabilities for Soil Salinity Estimation and Mapping in Arid Regions Oases,
RS(15), No. 4, 2023, pp. xx-yy.
DOI Link 2303
BibRef

Mohamed, S.A.[Sayed A.], Metwaly, M.M.[Mohamed M.], Metwalli, M.R.[Mohamed R.], AbdelRahman, M.A.E.[Mohamed A. E.], Badreldin, N.[Nasem],
Integrating Active and Passive Remote Sensing Data for Mapping Soil Salinity Using Machine Learning and Feature Selection Approaches in Arid Regions,
RS(15), No. 7, 2023, pp. 1751.
DOI Link 2304
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Yang, J.Y.[Jing-Yi], Wang, Q.J.[Qin-Jun], Chang, D.K.[Ding-Kun], Xu, W.T.[Wen-Tao], Yuan, B.Q.[Bo-Qi],
A High-Precision Remote Sensing Identification Method on Saline-Alkaline Areas Using Multi-Sources Data,
RS(15), No. 10, 2023, pp. xx-yy.
DOI Link 2306
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Sahbeni, G.[Ghada], Ngabire, M.[Maurice], Musyimi, P.K.[Peter K.], Székely, B.[Balázs],
Challenges and Opportunities in Remote Sensing for Soil Salinization Mapping and Monitoring: A Review,
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DOI Link 2306
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Das, A.[Ayan], Bhattacharya, B.K.[Bimal Kumar], Setia, R.[Raj], Jayasree, G., Sankar-Das, B.[Bhabani],
A novel method for detecting soil salinity using AVIRIS-NG imaging spectroscopy and ensemble machine learning,
PandRS(200), 2023, pp. 191-212.
Elsevier DOI 2306
Soil salinity index, Hyperspectral remote sensing, Ensemble machine learning, interpretable Machine learning BibRef

Fan, X.L.[Xiang-Long], Kang, X.Y.[Xiao-Yan], Gao, P.[Pan], Zhang, Z.[Ze], Wang, J.[Jin], Zhang, Q.[Qiang], Zhang, M.L.[Meng-Li], Ma, L.[Lulu], Lv, X.[Xin], Zhang, L.[Lifu],
Soil Salinity Estimation in Cotton Fields in Arid Regions Based on Multi-Granularity Spectral Segmentation (MGSS),
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Zhang, Z.P.[Zhuo-Peng], Li, X.J.[Xiao-Jie], Zhou, S.[Shuang], Zhao, Y.[Yue], Ren, J.H.[Jian-Hua],
Quantitative Study on Salinity Estimation of Salt-Affected Soils by Combining Different Types of Crack Characteristics Using Ground-Based Remote Sensing Observation,
RS(15), No. 13, 2023, pp. 3249.
DOI Link 2307
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Jiao, X.Y.[Xiang-Yu], Shi, X.F.[Xiao-Fei], Shen, Z.Y.[Zi-Yang], Ni, K.[Kuiyuan], Deng, Z.[Zhiyu],
Automatic Extraction of Saltpans on an Amendatory Saltpan Index and Local Spatial Parallel Similarity in Landsat-8 Imagery,
RS(15), No. 13, 2023, pp. 3413.
DOI Link 2307
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Sukhova, E.[Ekaterina], Zolin, Y.[Yuriy], Popova, A.[Alyona], Yudina, L.[Lyubov], Sukhov, V.[Vladimir],
The Influence of Soil Salt Stress on Modified Photochemical Reflectance Indices in Pea Plants,
RS(15), No. 15, 2023, pp. xx-yy.
DOI Link 2308
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Zhao, X.Y.[Xin-Yue], Xi, H.Y.[Hai-Yang], Yu, T.F.[Teng-Fei], Cheng, W.J.[Wen-Ju], Chen, Y.Q.[Yu-Qing],
Spatio-Temporal Variation in Soil Salinity and Its Influencing Factors in Desert Natural Protected Forest Areas,
RS(15), No. 20, 2023, pp. 5054.
DOI Link 2310
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Cui, J.W.[Jia-Wei], Chen, X.W.[Xiang-Wei], Han, W.T.[Wen-Ting], Cui, X.[Xin], Ma, W.[Weitong], Li, G.[Guang],
Estimation of Soil Salt Content at Different Depths Using UAV Multi-Spectral Remote Sensing Combined with Machine Learning Algorithms,
RS(15), No. 21, 2023, pp. 5254.
DOI Link 2311
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Zhang, H.R.[Hao-Ran], Fu, X.[Xin], Zhang, Y.[Yanna], Qi, Z.S.[Zhai-Shuo], Zhang, H.C.[Heng-Cai], Xu, Z.H.[Zheng-He],
Mapping Multi-Depth Soil Salinity Using Remote Sensing-Enabled Machine Learning in the Yellow River Delta, China,
RS(15), No. 24, 2023, pp. 5640.
DOI Link 2401
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Chen, H.F.[Hui-Fang], Wu, J.W.[Jing-Wei], Xu, C.[Chi],
Monitoring Soil Salinity Classes through Remote Sensing-Based Ensemble Learning Concept: Considering Scale Effects,
RS(16), No. 4, 2024, pp. 642.
DOI Link 2402
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Azabdaftari, A., Sunar, F.,
Soil Salinity Mapping Using Multitemporal Landsat Data,
ISPRS16(B7: 3-9).
DOI Link 1610
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Chapter on Remote Sensing General Issue, Land Use, Land Cover continues in
Sea Surface Salinity, SSS, SMOS .


Last update:Mar 16, 2024 at 20:36:19