{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,6,1]],"date-time":"2026-06-01T22:00:29Z","timestamp":1780351229638,"version":"3.54.1"},"reference-count":51,"publisher":"MDPI AG","issue":"4","license":[{"start":{"date-parts":[[2018,3,31]],"date-time":"2018-03-31T00:00:00Z","timestamp":1522454400000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/creativecommons.org\/licenses\/by\/4.0\/"}],"funder":[{"name":"the National Key R&amp;D Project","award":["No. 2016YFA0602301"],"award-info":[{"award-number":["No. 2016YFA0602301"]}]},{"name":"China Ministry of S&amp;T Special Funds for S&amp;T Infrastructure Establishment","award":["2015FY110500"],"award-info":[{"award-number":["2015FY110500"]}]},{"DOI":"10.13039\/501100001809","name":"the National Natural Science Foundation of China","doi-asserted-by":"publisher","award":["No. 41671219"],"award-info":[{"award-number":["No. 41671219"]}],"id":[{"id":"10.13039\/501100001809","id-type":"DOI","asserted-by":"publisher"}]},{"name":"the Outstanding Young Scientist Foundation of Northeast Institute of Geography and Agroecology (IGA), Chinese Academy of Sciences","award":["No. Y5H1061001"],"award-info":[{"award-number":["No. Y5H1061001"]}]}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["Sensors"],"abstract":"<jats:p>Soil salinity and sodicity can significantly reduce the value and the productivity of affected lands, posing degradation, and threats to sustainable development of natural resources on earth. This research attempted to map soil salinity\/sodicity via disentangling the relationships between Landsat 8 Operational Land Imager (OLI) imagery and in-situ measurements (EC, pH) over the west Jilin of China. We established the retrieval models for soil salinity and sodicity using Partial Least Square Regression (PLSR). Spatial distribution of the soils that were subjected to hybridized salinity and sodicity (HSS) was obtained by overlay analysis using maps of soil salinity and sodicity in geographical information system (GIS) environment. We analyzed the severity and occurring sizes of soil salinity, sodicity, and HSS with regard to specified soil types and land cover. Results indicated that the models\u2019 accuracy was improved by combining the reflectance bands and spectral indices that were mathematically transformed. Therefore, our results stipulated that the OLI imagery and PLSR method applied to mapping soil salinity and sodicity in the region. The mapping results revealed that the areas of soil salinity, sodicity, and HSS were 1.61 \u00d7 106 hm2, 1.46 \u00d7 106 hm2, and 1.36 \u00d7 106 hm2, respectively. Also, the occurring area of moderate and intensive sodicity was larger than that of salinity. This research may underpin efficiently mapping regional salinity\/sodicity occurrences, understanding the linkages between spectral reflectance and ground measurements of soil salinity and sodicity, and provide tools for soil salinity monitoring and the sustainable utilization of land resources.<\/jats:p>","DOI":"10.3390\/s18041048","type":"journal-article","created":{"date-parts":[[2018,4,2]],"date-time":"2018-04-02T12:32:20Z","timestamp":1522672340000},"page":"1048","update-policy":"https:\/\/doi.org\/10.3390\/mdpi_crossmark_policy","source":"Crossref","is-referenced-by-count":76,"title":["Mapping Soil Salinity\/Sodicity by using Landsat OLI Imagery and PLSR Algorithm over Semiarid West Jilin Province, China"],"prefix":"10.3390","volume":"18","author":[{"ORCID":"https:\/\/orcid.org\/0000-0001-6520-8097","authenticated-orcid":false,"given":"Hao","family":"Yu","sequence":"first","affiliation":[{"name":"Northeast Institute of Geography and Agroecology, Chinese Academy of Sciences, Key Laboratory of Wetland Ecology and Environment, Changchun 130102, China"},{"name":"University of Chinese Academy of Sciences, Beijing 100049, China"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Mingyue","family":"Liu","sequence":"additional","affiliation":[{"name":"Northeast Institute of Geography and Agroecology, Chinese Academy of Sciences, Key Laboratory of Wetland Ecology and Environment, Changchun 130102, China"},{"name":"University of Chinese Academy of Sciences, Beijing 100049, China"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Baojia","family":"Du","sequence":"additional","affiliation":[{"name":"Northeast Institute of Geography and Agroecology, Chinese Academy of Sciences, Key Laboratory of Wetland Ecology and Environment, Changchun 130102, China"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-9865-8235","authenticated-orcid":false,"given":"Zongming","family":"Wang","sequence":"additional","affiliation":[{"name":"Northeast Institute of Geography and Agroecology, Chinese Academy of Sciences, Key Laboratory of Wetland Ecology and Environment, Changchun 130102, China"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-3350-522X","authenticated-orcid":false,"given":"Liangjun","family":"Hu","sequence":"additional","affiliation":[{"name":"Northeast Normal University, Key Laboratory for Vegetation Ecology Science of Ministry of Education, Changchun 130021, China"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Bai","family":"Zhang","sequence":"additional","affiliation":[{"name":"Northeast Institute of Geography and Agroecology, Chinese Academy of Sciences, Key Laboratory of Wetland Ecology and Environment, Changchun 130102, China"}],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"1968","published-online":{"date-parts":[[2018,3,31]]},"reference":[{"key":"ref_1","doi-asserted-by":"crossref","unstructured":"Ali, M.H. 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