{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,3,10]],"date-time":"2026-03-10T21:07:11Z","timestamp":1773176831265,"version":"3.50.1"},"reference-count":76,"publisher":"MDPI AG","issue":"11","license":[{"start":{"date-parts":[[2014,11,6]],"date-time":"2014-11-06T00:00:00Z","timestamp":1415232000000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/creativecommons.org\/licenses\/by\/4.0\/"}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["Remote Sensing"],"abstract":"<jats:p>The monitoring of soil salinity levels is necessary for the prevention and mitigation of land degradation in arid environments. To assess the potential of remote sensing in estimating and mapping soil salinity in the El-Tina Plain, Sinai, Egypt, two predictive models were constructed based on the measured soil electrical conductivity (ECe) and laboratory soil reflectance spectra resampled to Landsat sensor\u2019s resolution. The models used were partial least squares regression (PLSR) and multivariate adaptive regression splines (MARS). The results indicated that a good prediction of the soil salinity can be made based on the MARS model (R2 = 0.73, RMSE = 6.53, and ratio of performance to deviation (RPD) = 1.96), which performed better than the PLSR model (R2 = 0.70, RMSE = 6.95, and RPD = 1.82). The models were subsequently applied on a pixel-by-pixel basis to the reflectance values derived from two Landsat images (2006 and 2012) to generate quantitative maps of the soil salinity. The resulting maps were validated successfully for 37 and 26 sampling points for 2006 and 2012, respectively, with R2 = 0.72 and 0.74 for 2006 and 2012, respectively, for the MARS model, and R2 = 0.71 and 0.73 for 2006 and 2012, respectively, for the PLSR model. The results indicated that MARS is a more suitable technique than PLSR for the estimation and mapping of soil salinity, especially in areas with high levels of salinity. The method developed in this paper can be used for other satellite data, like those provided by Landsat 8, and can be applied in other arid and semi-arid environments.<\/jats:p>","DOI":"10.3390\/rs61110813","type":"journal-article","created":{"date-parts":[[2014,11,7]],"date-time":"2014-11-07T02:03:59Z","timestamp":1415325839000},"page":"10813-10834","update-policy":"https:\/\/doi.org\/10.3390\/mdpi_crossmark_policy","source":"Crossref","is-referenced-by-count":148,"title":["Modeling and Mapping of Soil Salinity with Reflectance Spectroscopy and Landsat Data Using Two Quantitative Methods (PLSR and MARS)"],"prefix":"10.3390","volume":"6","author":[{"given":"Said","family":"Nawar","sequence":"first","affiliation":[{"name":"Institute of Geography and Spatial Management, Jagiellonian University, Krakow 30-387, Poland"},{"name":"Faculty of Agriculture, Suez Canal University, Ismailia 41522, Egypt"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-0956-5628","authenticated-orcid":false,"given":"Henning","family":"Buddenbaum","sequence":"additional","affiliation":[{"name":"Environmental Remote Sensing and Geoinformatics, Trier University, 54286 Trier, Germany"}]},{"given":"Joachim","family":"Hill","sequence":"additional","affiliation":[{"name":"Environmental Remote Sensing and Geoinformatics, Trier University, 54286 Trier, Germany"}]},{"given":"Jacek","family":"Kozak","sequence":"additional","affiliation":[{"name":"Institute of Geography and Spatial Management, Jagiellonian University, Krakow 30-387, Poland"}]}],"member":"1968","published-online":{"date-parts":[[2014,11,6]]},"reference":[{"key":"ref_1","doi-asserted-by":"crossref","first-page":"406","DOI":"10.1016\/S0034-4257(01)00321-2","article-title":"Field-derived spectra of salinized soils and vegetation as indicators of irrigation-induced soil salinization","volume":"80","author":"Dehaan","year":"2002","journal-title":"Remote Sens. Environ."},{"key":"ref_2","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_3","unstructured":"Stockle, C.O. Environmental impact of irrigation: A review. Available online: http:\/\/www.swwrc.wsu.edu\/newsletter\/fall2001\/IrrImpact2.pdf."},{"key":"ref_4","unstructured":"Lal, R. (2006). Encyclopedia of Soil Science, Taylor & Francis Group. [2nd ed.]."},{"key":"ref_5","doi-asserted-by":"crossref","first-page":"243","DOI":"10.1016\/j.geoderma.2008.12.002","article-title":"Spatiotemporal changes in soil salinity in a drip-irrigated field","volume":"149","author":"Zheng","year":"2009","journal-title":"Geoderma"},{"key":"ref_6","doi-asserted-by":"crossref","first-page":"361","DOI":"10.1016\/j.geoderma.2007.12.005","article-title":"Assessment of different soil to water ratios (1:1, 1:2.5, 1:5) in soil salinity studies","volume":"144","author":"Sonmez","year":"2008","journal-title":"Geoderma"},{"key":"ref_7","unstructured":"Ustin, S.L. (2004). Remote Sensing for Natural Resource Management and Environmental Monitoring, Wiley."},{"key":"ref_8","doi-asserted-by":"crossref","unstructured":"Metternicht, G.I., and Zinck, J.A. (2008). Remote Sensing of Soil Salinization: Impact on Land Management, CRC Press.","DOI":"10.1201\/9781420065039"},{"key":"ref_9","doi-asserted-by":"crossref","unstructured":"Metternicht, G.I., and Zinck, J.A. (2009). Remote Sensing of Soil Salinization: Impact on Land Management, CRC Press.","DOI":"10.1201\/9781420065039"},{"key":"ref_10","doi-asserted-by":"crossref","first-page":"151","DOI":"10.3390\/rs2010151","article-title":"Application of remote-sensing data and decision-tree analysis to mapping salt-affected soils over large areas","volume":"2","author":"Elnaggar","year":"2009","journal-title":"Remote Sens."},{"key":"ref_11","doi-asserted-by":"crossref","first-page":"2051","DOI":"10.1080\/01431169208904252","article-title":"The selection of the best possible Landsat TM band combination for delineating salt-affected soils","volume":"13","author":"Dwivedi","year":"1992","journal-title":"Int. J. Remote Sens."},{"key":"ref_12","doi-asserted-by":"crossref","first-page":"96","DOI":"10.1016\/j.agwat.2004.09.038","article-title":"Assessment of hydrosaline land degradation by using a simple approach of remote sensing indicators","volume":"77","author":"Khan","year":"2005","journal-title":"Agric. Water Manag."},{"key":"ref_13","doi-asserted-by":"crossref","first-page":"644","DOI":"10.1016\/j.jaridenv.2005.08.005","article-title":"Mapping soil salinity using a combined spectral response index for bare soil and vegetation: A case study in the former lake Texcoco, Mexico","volume":"65","author":"Siebe","year":"2006","journal-title":"J. Arid Environ."},{"key":"ref_14","doi-asserted-by":"crossref","first-page":"245","DOI":"10.2136\/sssaj2006-0049","article-title":"Digitally mapping gypsic and natric soil areas using Landsat ETM data","volume":"71","author":"Nield","year":"2007","journal-title":"Soil Sci. Soc. Am. J."},{"key":"ref_15","doi-asserted-by":"crossref","first-page":"201","DOI":"10.2136\/sssaj2007.0013","article-title":"Detecting soil salinity in alfalfa fields using spatial modeling and remote sensing","volume":"72","author":"Eldeiry","year":"2008","journal-title":"Soil Sci. Soc. Am. J."},{"key":"ref_16","doi-asserted-by":"crossref","first-page":"1043","DOI":"10.1080\/01431160010006962","article-title":"Mapping of several soil properties using DAIS-7915 hyperspectral scanner data\u2014A case study over clayey coils in Israel","volume":"23","author":"Banin","year":"2002","journal-title":"Int. J. Remote Sens."},{"key":"ref_17","doi-asserted-by":"crossref","first-page":"775","DOI":"10.1080\/01431160110107635","article-title":"Image-derived spectral end members as indicators of salinisation","volume":"24","author":"Dehaan","year":"2003","journal-title":"Int. J. Remote Sens."},{"key":"ref_18","doi-asserted-by":"crossref","first-page":"59","DOI":"10.1016\/j.rse.2007.02.005","article-title":"Quantitative analysis of salt-affected soil reflectance spectra: A comparison of two adaptive methods (PLSR and ANN)","volume":"110","author":"Farifteh","year":"2007","journal-title":"Remote Sens. Environ."},{"key":"ref_19","doi-asserted-by":"crossref","first-page":"179","DOI":"10.1016\/j.chemolab.2009.04.005","article-title":"The prediction of soil chemical and physical properties from mid-infrared spectroscopy and combined partial least-squares regression and neural networks (PLS-NN) analysis","volume":"97","author":"Janik","year":"2009","journal-title":"Chemom. Intell. Lab. Syst."},{"key":"ref_20","doi-asserted-by":"crossref","first-page":"378","DOI":"10.1016\/S1002-0160(10)60027-6","article-title":"A spectral index for estimating soil salinity in the Yellow River Delta Region of China using EO-1 Hyperion data","volume":"20","author":"Weng","year":"2010","journal-title":"Pedosphere"},{"key":"ref_21","doi-asserted-by":"crossref","first-page":"7783","DOI":"10.3390\/rs6087783","article-title":"Salt content distribution and paleoclimatic significance of the lop nur \u201cEar\u201d feature: Results from analysis of EO-1 hyperion imagery","volume":"6","author":"Zhang","year":"2014","journal-title":"Remote Sens."},{"key":"ref_22","doi-asserted-by":"crossref","first-page":"129","DOI":"10.1007\/s12524-011-0143-x","article-title":"Hyperspectral satellite data in mapping salt-affected soils using linear spectral unmixing analysis","volume":"40","author":"Ghosh","year":"2012","journal-title":"J. Indian Soc. Remote Sens."},{"key":"ref_23","doi-asserted-by":"crossref","first-page":"478","DOI":"10.1007\/s00267-012-9889-3","article-title":"Spatial variation of soil salinity in the Mexicali valley, Mexico: Application of a practical method for agricultural monitoring","volume":"50","author":"Judkins","year":"2012","journal-title":"Environ. Manag."},{"key":"ref_24","doi-asserted-by":"crossref","first-page":"259","DOI":"10.5589\/m08-017","article-title":"Soil salt content estimation in the Yellow River delta with satellite hyperspectral data","volume":"34","author":"Weng","year":"2008","journal-title":"Can. J. Remote Sens."},{"key":"ref_25","doi-asserted-by":"crossref","first-page":"109","DOI":"10.1016\/S0169-7439(01)00155-1","article-title":"PLS-regression: A basic tool of chemometrics","volume":"58","author":"Wold","year":"2001","journal-title":"Chemom. Intell. Lab. Syst."},{"key":"ref_26","first-page":"1","article-title":"Multivariate adaptive regressions splines","volume":"19","author":"Friedman","year":"1991","journal-title":"Ann. Stat."},{"key":"ref_27","doi-asserted-by":"crossref","first-page":"299","DOI":"10.1016\/j.geomorph.2004.10.006","article-title":"Evaluation of current statistical approaches for predictive geomorphological mapping","volume":"67","author":"Luoto","year":"2005","journal-title":"Geomorphology"},{"key":"ref_28","doi-asserted-by":"crossref","first-page":"229","DOI":"10.1016\/j.jaridenv.2009.08.011","article-title":"Visible-near infrared reflectance spectroscopy for assessment of soil properties in a semi-arid area of Turkey","volume":"74","author":"Bilgili","year":"2010","journal-title":"J. Arid Environ."},{"key":"ref_29","first-page":"175","article-title":"Mapping landslide susceptibility with logistic regression, multiple adaptive regression splines, classification and regression trees, and maximum entropy methods: A comparative study","volume":"10","author":"Cuartero","year":"2012","journal-title":"Landslides"},{"key":"ref_30","doi-asserted-by":"crossref","first-page":"249","DOI":"10.1007\/s10706-012-9584-4","article-title":"Multivariate Adaptive Regression Spline (MARS) for prediction of elastic modulus of jointed rock mass","volume":"31","author":"Samui","year":"2012","journal-title":"Geotech. Geol. Eng."},{"key":"ref_31","doi-asserted-by":"crossref","first-page":"1347","DOI":"10.1007\/s00500-012-0815-7","article-title":"Multivariate Adaptive Regression Spline (MARS) and Least Squares Support Vector Machine (LSSVM) for OCR prediction","volume":"16","author":"Samui","year":"2012","journal-title":"Soft Comput."},{"key":"ref_32","doi-asserted-by":"crossref","first-page":"19","DOI":"10.1080\/15324982.2010.528153","article-title":"The use of hyperspectral visible and near infrared reflectance spectroscopy for the characterization of salt-affected soils in the Harran Plain, Turkey","volume":"25","author":"Bilgili","year":"2011","journal-title":"Arid L. Res. Manag."},{"key":"ref_33","doi-asserted-by":"crossref","unstructured":"Nawar, S., Buddenbaum, H., and Hill, J. (2014). Estimation of soil salinity using three quantitative methods based on visible and near infrared reflectance spectroscopy: A case study from Egypt. Arab J. Geosci.","DOI":"10.1007\/s12517-014-1580-y"},{"key":"ref_34","doi-asserted-by":"crossref","first-page":"45","DOI":"10.1016\/j.geoderma.2013.10.027","article-title":"Predicting salt abundance in slightly saline soils from Landsat ETM+ imagery using spectral mixture analysis and soil spectrometry","volume":"217\u2013218","author":"Masoud","year":"2014","journal-title":"Geoderma"},{"key":"ref_35","first-page":"156","article-title":"Estimating soil salinity in Pingluo county of China using QuickBird data and soil reflectance spectra","volume":"26","author":"Sidike","year":"2014","journal-title":"Int. J. Appl. Earth Obs. Geoinf."},{"key":"ref_36","doi-asserted-by":"crossref","first-page":"373","DOI":"10.4236\/ars.2013.24040","article-title":"Soil salinity mapping and monitoring in arid and semi-arid regions using remote sensing technology: A review","volume":"2","author":"Allbed","year":"2013","journal-title":"Advanc. Remote Sens."},{"key":"ref_37","doi-asserted-by":"crossref","first-page":"1","DOI":"10.1016\/j.geoderma.2010.12.018","article-title":"The use of remote sensing in soil and terrain mapping\u2014A review","volume":"162","author":"Mulder","year":"2011","journal-title":"Geoderma"},{"key":"ref_38","unstructured":"Nawar, S., Reda, M., Farag, F., and El-Nahry, A. (2011, January 5\u20138). Mapping soil salinity in El-Tina plain in Egypt using geostatistical approach. Proceedings of the Geoinformatics Forum Salzburg, Salzburg, Austria."},{"key":"ref_39","unstructured":"Aly, E.H.M. (2005). Pedological Studies on Some Soils Along El-Salam Canal, North East of Egypt. [Ph.D. Thesis, Ain Shams University]."},{"key":"ref_40","unstructured":"Nawar, S., Reda, M., Farag, F., and El-Nahry, A. (2011, January 5\u20137). Sustainability assessment using geostatistical analysis and spatial modeling in El-Tina plain in Egypt. Proceedings of the 25th International Conference EnviroInfo, Ispera, Italy."},{"key":"ref_41","unstructured":"Jackson, M.L. (1973). Soil Chemical Analysis, Prentice-Hall of India private limited."},{"key":"ref_42","doi-asserted-by":"crossref","first-page":"13","DOI":"10.1016\/j.still.2006.03.009","article-title":"On-line measurement of some selected soil properties using a VIS\u2013NIR sensor","volume":"93","author":"Mouazen","year":"2007","journal-title":"Soil Till. Res."},{"key":"ref_43","doi-asserted-by":"crossref","first-page":"1","DOI":"10.1016\/0003-2670(86)80028-9","article-title":"Partial least-squares regression: A tutorial","volume":"185","author":"Geladi","year":"1986","journal-title":"Anal. Chim. Acta"},{"key":"ref_44","doi-asserted-by":"crossref","first-page":"3721","DOI":"10.3390\/rs4123721","article-title":"Field imaging spectroscopy of beech seedlings under dryness stress","volume":"4","author":"Buddenbaum","year":"2012","journal-title":"Remote Sens."},{"key":"ref_45","doi-asserted-by":"crossref","first-page":"3265","DOI":"10.3390\/rs4113265","article-title":"Applicability of the thermal infrared spectral region for the prediction of soil properties across semi-arid agricultural landscapes","volume":"4","author":"Eisele","year":"2012","journal-title":"Remote Sens."},{"key":"ref_46","doi-asserted-by":"crossref","first-page":"2699","DOI":"10.3390\/rs6042699","article-title":"Estimating soil organic carbon using Vis\/NIR spectroscopy with SVMR and SPA methods","volume":"6","author":"Peng","year":"2014","journal-title":"Remote Sens."},{"key":"ref_47","doi-asserted-by":"crossref","first-page":"122","DOI":"10.1016\/j.geoderma.2012.11.011","article-title":"Laboratory imaging spectroscopy of a stagnic Luvisol profile\u2014High resolution soil characterisation, classification and mapping of elemental concentrations","volume":"195\u2013196","author":"Steffens","year":"2013","journal-title":"Geoderma"},{"key":"ref_48","doi-asserted-by":"crossref","first-page":"988","DOI":"10.2136\/sssaj2002.9880","article-title":"Development of reflectance spectral libraries for characterization of soil properties","volume":"66","author":"Shepherd","year":"2002","journal-title":"Soil Sci. Soc. Am. J."},{"key":"ref_49","doi-asserted-by":"crossref","first-page":"9","DOI":"10.1016\/S1537-5110(03)00099-0","article-title":"A multivariate adaptive regression splines model for simulation of pesticide transport in soils","volume":"86","author":"Yang","year":"2003","journal-title":"Biosyst. Eng."},{"key":"ref_50","doi-asserted-by":"crossref","unstructured":"Hastie, T., Tibshirani, R., and Friedman, J. (2009). The Elements of Statistical Learning: Data Mining, Inference, and Prediction, Springer-Verlag. [2nd ed.].","DOI":"10.1007\/978-0-387-84858-7"},{"key":"ref_51","doi-asserted-by":"crossref","first-page":"480","DOI":"10.2136\/sssaj2001.652480x","article-title":"Near-infrared reflectance spectroscopy\u2014principal components regression analysis of soil properties","volume":"65","author":"Chang","year":"2001","journal-title":"Soil Sci. Soc. Am. J."},{"key":"ref_52","unstructured":"MathWorks Available online: http:\/\/www.mathworks.com\/products\/matlab\/whatsnew.html."},{"key":"ref_53","unstructured":"Exelis Visual Information Solutions. Available online: http:\/\/www.exelisvis.com\/docs\/Tutorials.html."},{"key":"ref_54","doi-asserted-by":"crossref","unstructured":"Lal, R. (2006). Encyclopedia of Soil Science, Taylor & Francis Group. [2nd ed.]. Volume 2.","DOI":"10.1201\/NOE0849338304"},{"key":"ref_55","unstructured":"Scaramuzza, P., Micijevic, E., and Chander, G. (2004). SLC gap-filled products phase one methodology, Available online: http:\/\/landsat.usgs.gov\/documents\/SLC_Gap_Fill_Methodology.pdf."},{"key":"ref_56","doi-asserted-by":"crossref","first-page":"1856","DOI":"10.3390\/rs4061856","article-title":"Preparing Landsat Image Time Series (LITS) for monitoring changes in vegetation phenology in Queensland, Australia","volume":"4","author":"Bhandari","year":"2012","journal-title":"Remote Sens."},{"key":"ref_57","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_58","unstructured":"Richter, R., and Schl\u00e4pfer, D. (2013). Atmospheric\/Topographic Correction for Satellite Imagery, ATCOR-2\/3 User Guide, Version 8.2.1, DLR, Germany\u2019s Aerospace Research Center and Space Agency."},{"key":"ref_59","doi-asserted-by":"crossref","first-page":"357","DOI":"10.1016\/j.saa.2013.06.054","article-title":"Application of principal component analysis-multivariate adaptive regression splines for the simultaneous spectrofluorimetric determination of dialkyltins in micellar media","volume":"115","author":"Ghasemi","year":"2013","journal-title":"Spectrochim. Acta A Mol. Biomol. Spectrosc."},{"key":"ref_60","doi-asserted-by":"crossref","first-page":"5511","DOI":"10.1080\/01431160801930248","article-title":"Reflectance spectroscopy for the assessment of soil salt content in soils of the Yellow River Delta of China","volume":"29","author":"Weng","year":"2008","journal-title":"Int. J. Remote Sens."},{"key":"ref_61","doi-asserted-by":"crossref","first-page":"491","DOI":"10.1016\/j.saa.2007.07.033","article-title":"Simultaneous spectrophotometric determination of paracetamol, ibuprofen and caffeine in pharmaceuticals by chemometric methods","volume":"70","author":"Khoshayand","year":"2008","journal-title":"Spectrochim. Acta A Mol. Biomol. Spectrosc."},{"key":"ref_62","doi-asserted-by":"crossref","first-page":"471","DOI":"10.1080\/03650340.2011.646996","article-title":"Soil salinity characteristics using Moderate Resolution Imaging Spectroradiometer (MODIS) images and statistical analysis","volume":"59","author":"Shamsi","year":"2013","journal-title":"Arch. Agron. Soil Sci."},{"key":"ref_63","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_64","doi-asserted-by":"crossref","first-page":"795","DOI":"10.1016\/j.crte.2011.09.003","article-title":"Improved remote sensing detection of soil salinity from a semi-arid climate in Northeast Brazil","volume":"343","author":"Bouaziz","year":"2011","journal-title":"Comptes Rendus Geosci."},{"key":"ref_65","doi-asserted-by":"crossref","first-page":"3090","DOI":"10.3390\/s90403090","article-title":"Simulation of EO-1 hyperion data from ALI multispectral data based on the spectral reconstruction approach","volume":"9","author":"Liu","year":"2009","journal-title":"Sensors"},{"key":"ref_66","doi-asserted-by":"crossref","first-page":"2647","DOI":"10.3390\/rs6042647","article-title":"Laboratory salinization of Brazilian alluvial soils and the spectral effects of Gypsum","volume":"6","author":"Moreira","year":"2014","journal-title":"Remote Sens."},{"key":"ref_67","first-page":"1","article-title":"Reflectance properties of soils","volume":"38","author":"Baumgardner","year":"1985","journal-title":"Adv. Agron."},{"key":"ref_68","unstructured":"Farag, F.M. (1981). Mineral-Chemical Characteristics of the Canal Area. [Master\u2019s Thesis, Suez Canal University]."},{"key":"ref_69","unstructured":"Reda, M. (1998, January 14\u201316). Soil resources and their Potentiality in Sinai. Proceedings of the Regional Symposium on Agro-technologies Based on Biological Nitrogen Fixation for Desert Agriculture, El-Arish, North Sinai, Egypt."},{"key":"ref_70","unstructured":"Arasteh, P.D. (2010, January 13\u201316). Soil salinity change detection in irrigated area under Gazvin Plain irrigation network using satellite imagery. Proceedings of the 9th International Drainage Symposium, Qu\u00e9bec, QC, Canada."},{"key":"ref_71","doi-asserted-by":"crossref","first-page":"2774","DOI":"10.3390\/s8042774","article-title":"Relative radiometric normalization and atmospheric correction of a SPOT 5 time series","volume":"8","author":"Lafrance","year":"2008","journal-title":"Sensors"},{"key":"ref_72","doi-asserted-by":"crossref","unstructured":"Metternicht, G., and Zinck, J. (2009). Remote Sensing of Soil Salinization: Impact on Land Management, CRC Press.","DOI":"10.1201\/9781420065039"},{"key":"ref_73","doi-asserted-by":"crossref","first-page":"10","DOI":"10.1007\/s10393-006-0078-9","article-title":"Dryland salinity and ecosystem distress syndrome: Human health implications","volume":"4","author":"Jardine","year":"2007","journal-title":"EcoHealth"},{"key":"ref_74","doi-asserted-by":"crossref","first-page":"55","DOI":"10.1016\/j.geoderma.2011.04.001","article-title":"Environmental factors of spatial distribution of soil salinity on flat irrigated terrain","volume":"163","author":"Akramkhanov","year":"2011","journal-title":"Geoderma"},{"key":"ref_75","doi-asserted-by":"crossref","first-page":"777","DOI":"10.1007\/s10661-012-2591-3","article-title":"Spatial assessment of soil salinity in the Harran Plain using multiple Kriging techniques","volume":"185","author":"Bilgili","year":"2013","journal-title":"Environ. Monit. Assess."},{"key":"ref_76","doi-asserted-by":"crossref","unstructured":"Ashraf, M., \u00d6zt\u00fcrk, M.A., and Athar, H.R. (2009). Salinity and Water Stress: Improving Crop Efficiency, Springer.","DOI":"10.1007\/978-1-4020-9065-3"}],"container-title":["Remote Sensing"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/www.mdpi.com\/2072-4292\/6\/11\/10813\/pdf","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2025,10,11]],"date-time":"2025-10-11T21:09:01Z","timestamp":1760216941000},"score":1,"resource":{"primary":{"URL":"https:\/\/www.mdpi.com\/2072-4292\/6\/11\/10813"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2014,11,6]]},"references-count":76,"journal-issue":{"issue":"11","published-online":{"date-parts":[[2014,11]]}},"alternative-id":["rs61110813"],"URL":"https:\/\/doi.org\/10.3390\/rs61110813","relation":{},"ISSN":["2072-4292"],"issn-type":[{"value":"2072-4292","type":"electronic"}],"subject":[],"published":{"date-parts":[[2014,11,6]]}}}