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.],
Vine, D.M.L.[David M. Le],
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.[Anhong],
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.[Mingguo],
Zhao, Y.[Yifei],
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.[Mingguo],
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.[Jiali],
Zhang, J.[Jiahua],
Wu, F.[Fei],
Zhou, G.S.[Gui-Sheng],
Dai, Q.[Qigen],
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.[Yishan],
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.[Hongyi],
Liu, X.[Xinlu],
Hu, B.[Bifeng],
Biswas, A.[Asim],
Jiang, Q.[Qingsong],
Liu, W.[Weiyang],
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
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.[Wentao],
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
Chapter on Remote Sensing, Cartography, Aerial Images, Buildings, Roads, Terrain, ATR continues in
Sea Surface Salinity, SSS, SMOS .