{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,3,19]],"date-time":"2026-03-19T07:48:10Z","timestamp":1773906490572,"version":"3.50.1"},"reference-count":63,"publisher":"MDPI AG","issue":"10","license":[{"start":{"date-parts":[[2022,5,15]],"date-time":"2022-05-15T00:00:00Z","timestamp":1652572800000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/creativecommons.org\/licenses\/by\/4.0\/"}],"funder":[{"name":"Vietnam Academy of Science and Technology (VAST)","award":["VAST01.02\/17-18"],"award-info":[{"award-number":["VAST01.02\/17-18"]}]},{"name":"Vietnam Academy of Science and Technology (VAST)","award":["NDT.96.BE\/20"],"award-info":[{"award-number":["NDT.96.BE\/20"]}]},{"name":"Vietnam Academy of Science and Technology (VAST)","award":["BL\/67\/VT44"],"award-info":[{"award-number":["BL\/67\/VT44"]}]},{"name":"Vietnam Ministry of Science and Technology (MOST)","award":["VAST01.02\/17-18"],"award-info":[{"award-number":["VAST01.02\/17-18"]}]},{"name":"Vietnam Ministry of Science and Technology (MOST)","award":["NDT.96.BE\/20"],"award-info":[{"award-number":["NDT.96.BE\/20"]}]},{"name":"Vietnam Ministry of Science and Technology (MOST)","award":["BL\/67\/VT44"],"award-info":[{"award-number":["BL\/67\/VT44"]}]},{"DOI":"10.13039\/501100002749","name":"Belgian Federal Science Policy Office (BELSPO)","doi-asserted-by":"publisher","award":["VAST01.02\/17-18"],"award-info":[{"award-number":["VAST01.02\/17-18"]}],"id":[{"id":"10.13039\/501100002749","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/501100002749","name":"Belgian Federal Science Policy Office (BELSPO)","doi-asserted-by":"publisher","award":["NDT.96.BE\/20"],"award-info":[{"award-number":["NDT.96.BE\/20"]}],"id":[{"id":"10.13039\/501100002749","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/501100002749","name":"Belgian Federal Science Policy Office (BELSPO)","doi-asserted-by":"publisher","award":["BL\/67\/VT44"],"award-info":[{"award-number":["BL\/67\/VT44"]}],"id":[{"id":"10.13039\/501100002749","id-type":"DOI","asserted-by":"publisher"}]}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["Remote Sensing"],"abstract":"<jats:p>Soil salinity has a major impact on agricultural production. In a changing climate with rising sea-levels, low-lying coastal areas are increasingly inundated whereby saltwater gradually contaminates the soil. Drought prone areas may suffer from salinity due to high evapotranspiration rates in combination with the use of saline irrigation water. Salinity is difficult to monitor because soil moisture affects the soil\u2019s spectral signature. We conducted Fourier-transform infrared spectroscopy on alluvial and sandy soil samples in the coastal estuary of the Red River Delta. The soils are contaminated with NaCl, Na2CO3 and Na2SO4 salts. In an experiment of salt contamination, we established that three ranges of the spectrum were strongly influenced by both salt and moisture content in the soil, at wavenumbers 3200\u20133400 cm\u22121 (2.9\u20133.1 \u00b5m); 1600\u20131700 cm\u22121 (5.9\u20136.3 \u00b5m); 900\u20131100 cm\u22121 (9.1\u201311.1 \u00b5m). The Na2CO3 contaminated soil and the spectral value had a linear relationship between wavelengths 6.9 and 7.4 \u00b5m. At wavelength 6.99 \u00b5m, there was no relationship between absorbance and soil moisture, but the absorbance was proportional to the salt content (R2 = 0.85; RMSE = 0.68 g) and electrical conductivity (R2 = 0.50; RMSE = 3.8 dS\/m). The relationship between soil moisture and spectral absorbance value was high at wavelengths below 6.7 \u00b5m, resulting in a quadratic relation between soil moisture and absorbance at wavelength 6.13 \u00b5m (R2 = 0.80; RMSE = 5.2%). The spectral signatures and equations might be useful for mapping salt-affected soils, particularly in difficult to access locations. Technological advances in thermal satellite sensors may offer possibilities for monitoring soil salinity.<\/jats:p>","DOI":"10.3390\/rs14102380","type":"journal-article","created":{"date-parts":[[2022,5,15]],"date-time":"2022-05-15T09:48:22Z","timestamp":1652608102000},"page":"2380","update-policy":"https:\/\/doi.org\/10.3390\/mdpi_crossmark_policy","source":"Crossref","is-referenced-by-count":6,"title":["Soil Moisture Influence on the FTIR Spectrum of Salt-Affected Soils"],"prefix":"10.3390","volume":"14","author":[{"ORCID":"https:\/\/orcid.org\/0000-0003-2997-2199","authenticated-orcid":false,"given":"Le Thi Thu","family":"Hien","sequence":"first","affiliation":[{"name":"Institute of Geography, Vietnam Academy of Science and Technology (VAST), Hanoi 100000, Vietnam"},{"name":"Graduate University of Science and Technology, Vietnam Academy of Science and Technology (VAST), Hanoi 100000, Vietnam"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-3742-7062","authenticated-orcid":false,"given":"Anne","family":"Gobin","sequence":"additional","affiliation":[{"name":"Flemish Institute for Technological Research (VITO), 2400 Mol, Belgium"},{"name":"Department of Earth and Environmental Sciences, Faculty of Bioscience Engineering, Katholieke Universiteit Leuven, 3001 Leuven, Belgium"}]},{"given":"Duong Thi","family":"Lim","sequence":"additional","affiliation":[{"name":"Institute of Geography, Vietnam Academy of Science and Technology (VAST), Hanoi 100000, Vietnam"}]},{"given":"Dang Tran","family":"Quan","sequence":"additional","affiliation":[{"name":"Institute of Geography, Vietnam Academy of Science and Technology (VAST), Hanoi 100000, Vietnam"}]},{"given":"Nguyen Thi","family":"Hue","sequence":"additional","affiliation":[{"name":"Institute of Geography, Vietnam Academy of Science and Technology (VAST), Hanoi 100000, Vietnam"}]},{"given":"Nguyen Ngoc","family":"Thang","sequence":"additional","affiliation":[{"name":"Institute of Geography, Vietnam Academy of Science and Technology (VAST), Hanoi 100000, Vietnam"}]},{"given":"Nguyen Thanh","family":"Binh","sequence":"additional","affiliation":[{"name":"Institute of Geography, Vietnam Academy of Science and Technology (VAST), Hanoi 100000, Vietnam"}]},{"given":"Vu Thi Kim","family":"Dung","sequence":"additional","affiliation":[{"name":"Institute of Geography, Vietnam Academy of Science and Technology (VAST), Hanoi 100000, Vietnam"}]},{"given":"Pham Ha","family":"Linh","sequence":"additional","affiliation":[{"name":"Institute of Geography, Vietnam Academy of Science and Technology (VAST), Hanoi 100000, Vietnam"}]}],"member":"1968","published-online":{"date-parts":[[2022,5,15]]},"reference":[{"key":"ref_1","doi-asserted-by":"crossref","first-page":"237","DOI":"10.1080\/07352689.2013.758544","article-title":"Improving Salinity Tolerance in Cereals","volume":"32","author":"Shahbaz","year":"2013","journal-title":"Crit. Rev. Plant Sci."},{"key":"ref_2","doi-asserted-by":"crossref","first-page":"615","DOI":"10.1016\/j.tplants.2005.10.002","article-title":"Developing Salt-Tolerant Crop Plants: Challenges and Opportunities","volume":"10","author":"Yamaguchi","year":"2005","journal-title":"Trends Plant Sci."},{"key":"ref_3","doi-asserted-by":"crossref","unstructured":"Machado, R.M.A., and Serralheiro, R.P. (2017). Soil Salinity: Effect on Vegetable Crop Growth. Management Practices to Prevent and Mitigate Soil Salinization. Horticulturae, 3.","DOI":"10.3390\/horticulturae3020030"},{"key":"ref_4","doi-asserted-by":"crossref","first-page":"111260","DOI":"10.1016\/j.rse.2019.111260","article-title":"Global Mapping of Soil Salinity Change","volume":"231","author":"Ivushkin","year":"2019","journal-title":"Remote Sens. Environ."},{"key":"ref_5","doi-asserted-by":"crossref","first-page":"72","DOI":"10.1071\/FP20089","article-title":"Biochemical and Molecular Characterisations of Salt Tolerance Components in Rice Varieties Tolerant and Sensitive to NaCl: The Relevance of Na+ Exclusion in Salt Tolerance in the Species","volume":"48","author":"Gupta","year":"2021","journal-title":"Funct. Plant Biol."},{"key":"ref_6","doi-asserted-by":"crossref","first-page":"435","DOI":"10.1080\/07352689.2011.605739","article-title":"Gene Expression Profiling of Plants under Salt Stress","volume":"30","author":"Jamil","year":"2011","journal-title":"Crit. Rev. Plant Sci."},{"key":"ref_7","doi-asserted-by":"crossref","first-page":"2189","DOI":"10.2134\/agronj2016.06.0368","article-title":"Soil Salinity: A Threat to Global Food Security","volume":"108","author":"Butcher","year":"2016","journal-title":"Agron. J."},{"key":"ref_8","doi-asserted-by":"crossref","unstructured":"Gobin, A., Hien, L.T.T., Hai, L.T., Linh, P.H., Thang, N.N., and Vinh, P.Q. (2020). Adaptation to Land Degradation in Southeast Vietnam. Land, 9.","DOI":"10.3390\/land9090302"},{"key":"ref_9","doi-asserted-by":"crossref","first-page":"1544","DOI":"10.1080\/10807039.2012.716688","article-title":"Risk Assessment of Desertification for Binh Thuan Province, Vietnam","volume":"19","author":"Hai","year":"2013","journal-title":"Hum. Ecol. Risk Assess. Int. J."},{"key":"ref_10","doi-asserted-by":"crossref","first-page":"1","DOI":"10.1890\/ES14-00534.1","article-title":"A Global Perspective on Wetland Salinization: Ecological Consequences of a Growing Threat to Freshwater Wetlands","volume":"6","author":"Herbert","year":"2015","journal-title":"Ecosphere"},{"key":"ref_11","doi-asserted-by":"crossref","first-page":"1","DOI":"10.1016\/S0034-4257(02)00188-8","article-title":"Remote Sensing of Soil Salinity: Potentials and Constraints","volume":"85","author":"Metternicht","year":"2003","journal-title":"Remote Sens. Environ."},{"key":"ref_12","doi-asserted-by":"crossref","first-page":"2325","DOI":"10.5194\/nhess-19-2325-2019","article-title":"Spatial Indicators for Desertification in Southeast Vietnam","volume":"19","author":"Hien","year":"2019","journal-title":"Nat. Hazards Earth Syst. Sci."},{"key":"ref_13","doi-asserted-by":"crossref","first-page":"1686","DOI":"10.1002\/joc.4451","article-title":"Heavy Rainfall Patterns in Vietnam and Their Relation with ENSO Cycles: Heavy Rainfall Patterns in Vietnam","volume":"36","author":"Gobin","year":"2016","journal-title":"Int. J. Climatol."},{"key":"ref_14","unstructured":"Food and Agriculture Organization (2014). World Reference Base for Soil Resources 2014: International Soil Classification System for Naming Soils and Creating Legends for Soil Maps, FAO."},{"key":"ref_15","unstructured":"Food and Agriculture Organization (2020). Mapping of Salt-Affected Soils. Technical Specifications and Country Guidelines, FAO."},{"key":"ref_16","unstructured":"Abrol, I.P., Yadav, J.S.P., and Massoud, F.I. (1988). Salt-Affected Soils and Their Management, FAO."},{"key":"ref_17","doi-asserted-by":"crossref","unstructured":"Paul, B.K., and Rashid, H. (2017). Climatic Hazards in Coastal Bangladesh. Sci. Dir., 153\u2013182.","DOI":"10.1016\/B978-0-12-805276-1.00005-3"},{"key":"ref_18","doi-asserted-by":"crossref","first-page":"645","DOI":"10.1111\/j.1469-8137.2005.01487.x","article-title":"Genes and Salt Tolerance: Bringing Them Together","volume":"167","author":"Munns","year":"2005","journal-title":"N. Phytol."},{"key":"ref_19","doi-asserted-by":"crossref","first-page":"123","DOI":"10.1016\/j.sjbs.2014.12.001","article-title":"Soil Salinity: A Serious Environmental Issue and Plant Growth Promoting Bacteria as One of the Tools for Its Alleviation","volume":"22","author":"Shrivastava","year":"2015","journal-title":"Saudi J. Biol. Sci."},{"key":"ref_20","first-page":"1","article-title":"Visible and Near-Infrared Spectra of Minerals and Rocks: IV. Sulphides and Sulphates","volume":"3","author":"Hunt","year":"1971","journal-title":"Mod. Geol."},{"key":"ref_21","first-page":"23","article-title":"Visible and near Infrared Spectra of Minerals and Rocks. II. Carbonates","volume":"2","author":"Hunt","year":"1971","journal-title":"Mod. Geol."},{"key":"ref_22","doi-asserted-by":"crossref","first-page":"231","DOI":"10.1016\/0034-4257(93)90068-9","article-title":"Spectral Band Selection for the Characterization of Salinity Status of Soils","volume":"43","author":"Csillag","year":"1993","journal-title":"Remote sens. Environ."},{"key":"ref_23","doi-asserted-by":"crossref","first-page":"196","DOI":"10.1016\/j.geoderma.2008.03.011","article-title":"Spectral Characteristics of Salt-Affected Soils: A Laboratory Experiment","volume":"145","author":"Farifteh","year":"2008","journal-title":"Geoderma"},{"key":"ref_24","unstructured":"Beck, R.H. (1975). Spectral Characteristics of Soils Related to the Interaction of Soil Moisture, Organic Carbon, and Clay Content, LARS Technical Reports. Paper 100."},{"key":"ref_25","first-page":"955","article-title":"The Spectral Reflectance of American Soils","volume":"36","author":"Condit","year":"1970","journal-title":"Photogramm. Eng."},{"key":"ref_26","first-page":"1283","article-title":"Detecting Saline Soils with Video Imagery","volume":"54","author":"Everitt","year":"1988","journal-title":"Photogramm. Eng. Remote Sens."},{"key":"ref_27","doi-asserted-by":"crossref","first-page":"126","DOI":"10.1016\/j.geoderma.2008.08.004","article-title":"Identifying Optimal Spectral Bands to Assess Soil Properties with VNIR Radiometry in Semi-Arid Soils","volume":"147","author":"Koch","year":"2008","journal-title":"Geoderma"},{"key":"ref_28","doi-asserted-by":"crossref","first-page":"105041","DOI":"10.1016\/j.catena.2020.105041","article-title":"Monitoring Properties of the Salt-Affected Soils by Multivariate Analysis of the Visible and near-Infrared Hyperspectral Data","volume":"198","author":"Mahajan","year":"2021","journal-title":"CATENA"},{"key":"ref_29","first-page":"121","article-title":"Visible and Near-Infrared Spectra of Minerals and Rocks: V. Halides, Phosphates, Arsenates, Venadates and Borates","volume":"3","author":"Hunt","year":"1972","journal-title":"Mod. Geol."},{"key":"ref_30","doi-asserted-by":"crossref","first-page":"16231","DOI":"10.1029\/91JB01714","article-title":"Visible and Near-Infrared (0.4\u20132.5 \u039cm) Reflectance Spectra of Playa Evaporite Minerals","volume":"96","author":"Crowley","year":"1991","journal-title":"J. Geophys. Res. Solid Earth"},{"key":"ref_31","doi-asserted-by":"crossref","first-page":"241","DOI":"10.1080\/02757259309532180","article-title":"Remote Sensing of Salt Affected Soils","volume":"7","author":"Mougenot","year":"1993","journal-title":"Remote Sens. Rev."},{"key":"ref_32","doi-asserted-by":"crossref","first-page":"1453","DOI":"10.2134\/jeq2002.1453","article-title":"Spectral Properties of Salt Crusts Formed on Saline Soils","volume":"31","author":"Howari","year":"2002","journal-title":"J. Environ. Qual."},{"key":"ref_33","unstructured":"Farifteh, J. (2007). Imaging Spectroscopy of Salt-Affected Soils: Model-Based Integrated Method. [Doctoral Dissertation 143, ITC (Faculty of Geo-Information Science and Earth Observation, University of Twente)]."},{"key":"ref_34","doi-asserted-by":"crossref","first-page":"1423","DOI":"10.2136\/sssaj2000.6441423x","article-title":"Quantifying Soil Morphology in Tropical Environments Methods and Application in Soil Classification","volume":"64","author":"Gobin","year":"2000","journal-title":"Soil Sci. Soc. Am. J."},{"key":"ref_35","doi-asserted-by":"crossref","first-page":"431","DOI":"10.1364\/AO.25.000431","article-title":"Reflectance and Albedo Differences between Wet and Dry Surfaces","volume":"25","author":"Twomey","year":"1986","journal-title":"Appl. Opt."},{"key":"ref_36","doi-asserted-by":"crossref","first-page":"722","DOI":"10.2136\/sssaj2002.7220","article-title":"Moisture Effects on Soil Reflectance","volume":"66","author":"Lobell","year":"2002","journal-title":"Soil Sci. Soc. Am. J."},{"key":"ref_37","doi-asserted-by":"crossref","first-page":"S38","DOI":"10.1016\/j.rse.2008.09.019","article-title":"Using Imaging Spectroscopy to Study Soil Properties","volume":"113","author":"Chabrillat","year":"2009","journal-title":"Remote Sens. Environ."},{"key":"ref_38","doi-asserted-by":"crossref","first-page":"2069","DOI":"10.1080\/01431160210163155","article-title":"Evaluation of Methods for Soil Surface Moisture Estimation from Reflectance Data","volume":"24","author":"Liu","year":"2003","journal-title":"Int. J. Remote Sens."},{"key":"ref_39","doi-asserted-by":"crossref","first-page":"1309","DOI":"10.1016\/j.geoderma.2018.08.006","article-title":"Estimating Soil Salinity from Remote Sensing and Terrain Data in Southern Xinjiang Province, China","volume":"337","author":"Peng","year":"2019","journal-title":"Geoderma"},{"key":"ref_40","doi-asserted-by":"crossref","first-page":"1043","DOI":"10.1080\/01431160010006962","article-title":"Mapping of Several Soil Properties Using DAIS-7915 Hyperspectral Scanner Data-a Case Study over Clayey Soils in Israel","volume":"23","author":"Patkin","year":"2002","journal-title":"Int. J. Remote Sens."},{"key":"ref_41","doi-asserted-by":"crossref","first-page":"1113","DOI":"10.2136\/sssaj2006.0059","article-title":"A Novel Method of Classifying Soil Profiles in the Field Using Optical Means","volume":"72","author":"Heller","year":"2008","journal-title":"Soil Sci. Soc. Am. J."},{"key":"ref_42","doi-asserted-by":"crossref","first-page":"173","DOI":"10.1016\/S0034-4257(00)00198-X","article-title":"Modeling Soil Moisture\u2013Reflectance","volume":"76","author":"Muller","year":"2001","journal-title":"Remote Sens. Environ."},{"key":"ref_43","doi-asserted-by":"crossref","first-page":"1","DOI":"10.1117\/1.JRS.12.045012","article-title":"Comparison of Partial Least Square Regression, Support Vector Machine, and Deep-Learning Techniques for Estimating Soil Salinity from Hyperspectral Data","volume":"12","author":"Zeng","year":"2018","journal-title":"J. Appl. Rem. Sens."},{"key":"ref_44","doi-asserted-by":"crossref","first-page":"015014","DOI":"10.1117\/1.JRS.10.015014","article-title":"Elimination of the Soil Moisture Effect on the Spectra for Reflectance Prediction of Soil Salinity Using External Parameter Orthogonalization Method","volume":"10","author":"Peng","year":"2016","journal-title":"J. Appl. Remote Sens."},{"key":"ref_45","doi-asserted-by":"crossref","unstructured":"Blommaert, J., Lesschaeve, S., Tavares, J.L., Nuyts, D., Delaure, B., Gobin, A., Dries, J.C., and De Vos, L. (2021, January 11). Satirim: Towards a Thermal IR Small Satellites Constellation. Proceedings of the 2021 IEEE International Geoscience and Remote Sensing Symposium IGARSS, Brussels, Belgium.","DOI":"10.1109\/IGARSS47720.2021.9553365"},{"key":"ref_46","doi-asserted-by":"crossref","unstructured":"Hoa, P., Giang, N., Binh, N., Hai, L., Pham, T.-D., Hasanlou, M., and Tien Bui, D. (2019). 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). Remote Sens., 11.","DOI":"10.3390\/rs11020128"},{"key":"ref_47","unstructured":"(1985). Soil\u2014Method of Sampling (Standard No. TCVN 4046-85)."},{"key":"ref_48","unstructured":"(2006). Soil Quality\u2014Pretreatment of Samples for Physico-Chemical Analysis (Standard No. ISO 11464:2006)."},{"key":"ref_49","unstructured":"(2011). Soil Quality\u2014Determination of Moisture and Absolute Dryness Coefficient (Standard No. TCVN 4080:2011)."},{"key":"ref_50","unstructured":"(2010). Soil Quality\u2014Method for Determination of Particle Size D\u00edstribution (Standard No. TCVN 8567:2010)."},{"key":"ref_51","unstructured":"(1994). Soil Quality\u2014Determination of the Specific Electrical Conductivity (Standard No. ISO 11265:1994)."},{"key":"ref_52","unstructured":"R Core Team (2021). A Language and Environment for Statistical Computing, R Foundation for Statistical Computing."},{"key":"ref_53","unstructured":"Gross, J., and Ligges, U. (2022, April 06). Tests for Normality. R Package Version 1.0-4, Available online: https:\/\/rdrr.io\/cran\/nortest\/."},{"key":"ref_54","unstructured":"Kassambara, A. (2022, April 06). Rstatix: Pipe-Friendly Framework for Basic Statistical Tests. R Package Version 0.7.0, Available online: https:\/\/cran.r-project.org\/web\/packages\/rstatix\/index.html."},{"key":"ref_55","unstructured":"Kassambara, A. (2022, April 06). Ggpubr: \u201cggplot2\u201d Based Publication Ready Plots. R Package Version 0.4.0, Available online: https:\/\/cran.r-project.org\/web\/packages\/ggpubr\/index.html."},{"key":"ref_56","doi-asserted-by":"crossref","first-page":"141","DOI":"10.1002\/(SICI)1099-145X(199903\/04)10:2<141::AID-LDR325>3.0.CO;2-N","article-title":"Soil Erosion Assessment at the Udi-Nsukka Cuesta (Southeastern Nigeria)","volume":"10","author":"Gobin","year":"1999","journal-title":"Land Degrad. Dev."},{"key":"ref_57","doi-asserted-by":"crossref","first-page":"1161","DOI":"10.2136\/sssaj1981.03615995004500060031x","article-title":"Characteristic Variations in Reflectance of Surface Soils","volume":"45","author":"Stoner","year":"1981","journal-title":"Soil Sci. Soc. Am. J."},{"key":"ref_58","doi-asserted-by":"crossref","first-page":"11","DOI":"10.1016\/j.compag.2004.10.005","article-title":"Apparent Soil Electrical Conductivity Measurements in Agriculture","volume":"46","author":"Corwin","year":"2005","journal-title":"Comput. Electron. Agric."},{"key":"ref_59","doi-asserted-by":"crossref","first-page":"536","DOI":"10.1071\/SR12197","article-title":"Prediction of the Soil Saturated Paste Extract Salinity from Extractable Ions, Cation Exchange Capacity, and Anion Exclusion","volume":"50","author":"Visconti","year":"2012","journal-title":"Soil Res."},{"key":"ref_60","doi-asserted-by":"crossref","first-page":"588","DOI":"10.1080\/2150704X.2022.2059414","article-title":"The Need for the Spectral Characterization of Dominant Salts and Recommended Methods of Soil Sampling and Analysis for the Proper Spectral Evaluation of Salt Affected Soils Using Hyper -Spectral Remote Sensing","volume":"13","author":"Mandal","year":"2022","journal-title":"Remote Sens. Lett."},{"key":"ref_61","doi-asserted-by":"crossref","first-page":"1137","DOI":"10.3390\/rs6021137","article-title":"Mapping and Modelling Spatial Variation in Soil Salinity in the Al Hassa Oasis Based on Remote Sensing Indicators and Regression Techniques","volume":"6","author":"Allbed","year":"2014","journal-title":"Remote Sens."},{"key":"ref_62","doi-asserted-by":"crossref","first-page":"443","DOI":"10.1515\/geo-2020-0244","article-title":"Detection and Modeling of Soil Salinity Variations in Arid Lands Using Remote Sensing Data","volume":"13","author":"Alqasemi","year":"2021","journal-title":"Open Geosci."},{"key":"ref_63","doi-asserted-by":"crossref","unstructured":"Shahrayini, E., and Noroozi, A.A. (2022). Modeling and Mapping of Soil Salinity and Alkalinity Using Remote Sensing Data and Topographic Factors: A Case Study in Iran. Environ. Model. Assess.","DOI":"10.21203\/rs.3.rs-724984\/v1"}],"container-title":["Remote Sensing"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/www.mdpi.com\/2072-4292\/14\/10\/2380\/pdf","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2025,10,10]],"date-time":"2025-10-10T23:10:59Z","timestamp":1760137859000},"score":1,"resource":{"primary":{"URL":"https:\/\/www.mdpi.com\/2072-4292\/14\/10\/2380"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2022,5,15]]},"references-count":63,"journal-issue":{"issue":"10","published-online":{"date-parts":[[2022,5]]}},"alternative-id":["rs14102380"],"URL":"https:\/\/doi.org\/10.3390\/rs14102380","relation":{},"ISSN":["2072-4292"],"issn-type":[{"value":"2072-4292","type":"electronic"}],"subject":[],"published":{"date-parts":[[2022,5,15]]}}}