{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,1,31]],"date-time":"2026-01-31T04:57:52Z","timestamp":1769835472769,"version":"3.49.0"},"reference-count":61,"publisher":"MDPI AG","issue":"9","license":[{"start":{"date-parts":[[2021,4,21]],"date-time":"2021-04-21T00:00:00Z","timestamp":1618963200000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/creativecommons.org\/licenses\/by\/4.0\/"}],"funder":[{"name":"Major Scientific and Technological Program of Jilin Province","award":["20200503002SF"],"award-info":[{"award-number":["20200503002SF"]}]},{"name":"Science and Technology Development Planning of Jilin Province","award":["20190303081SF"],"award-info":[{"award-number":["20190303081SF"]}]},{"name":"National Key Laboratory of soil and water pollution control and remediation for environmental protection","award":["GHBK-2020-007"],"award-info":[{"award-number":["GHBK-2020-007"]}]}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["Remote Sensing"],"abstract":"<jats:p>Erlong Lake is considered one of the largest lakes in midwest Jilin, China, and one of the drinking water resources in neighboring cities. The present study aims to explore the usage of Landsat TM5, ETM7, and OLI8 images to assess water quality (V-phenol, dissolved oxygen (DO), NH4-N, NO3-N) in Erlong Lake, Jilin province, northeast China. Thirteen multispectral images were used in this study for May, July, August, and September in 2000, 2001, 2002, and October 2020. Radiometric and atmospheric corrections were applied to all images. All in situ water quality parameters were strongly correlated to each other, except DO. The in situ measurements (V-phenol, dissolved oxygen, NH4-N, NO3-N) were statistically correlated with various spectral band combinations (blue, green, red, and NIR) derived from Landsat imagery. Regression analysis reported that there are strong relationships between the estimated and retrieved water quality from the Landsat images. Moreover, in calibrations, the highest value of the coefficient of determination (R2) was \u22650.85 with (RMSE) = 0.038; the lowest value of R2 was &gt;0.30 with RMSE= 0.752. All generated models were validated in different statistical indices; R2 was up to 0.95 for most cases, with RMSE ranging from 1.390 to 0.050. Finally, the empirical algorithms were successfully assessed (V-phenol, dissolved oxygen, NH4-N, NO3-N) in Erlong Lake, using Landsat images with very good accuracy. Both in situ and model retrieved results showed the same trends with non-significant differences. September of 2000, 2001, and 2002 and October of 2020 were selected to assess the spatial distributions of V-phenol, DO, NH4-N, and NO3-N in the lake. V-phenol, NH4-N, and NO3-N were reported low in shallow water but high in deep water, while DO was high in shallow water but low in deep water of the lake. Domestic sewage, agricultural, and urban industrial pollution are the most common sources of pollution in the Erlong Lake.<\/jats:p>","DOI":"10.3390\/rs13091603","type":"journal-article","created":{"date-parts":[[2021,4,21]],"date-time":"2021-04-21T21:25:10Z","timestamp":1619040310000},"page":"1603","update-policy":"https:\/\/doi.org\/10.3390\/mdpi_crossmark_policy","source":"Crossref","is-referenced-by-count":39,"title":["Modeling Water Quality Parameters Using Landsat Multispectral Images: A Case Study of Erlong Lake, Northeast China"],"prefix":"10.3390","volume":"13","author":[{"ORCID":"https:\/\/orcid.org\/0000-0002-6267-2879","authenticated-orcid":false,"given":"Bazel","family":"Al-Shaibah","sequence":"first","affiliation":[{"name":"Institute of Natural Disaster Research, School of Environment, Northeast Normal University, Changchun 130024, China"}]},{"given":"Xingpeng","family":"Liu","sequence":"additional","affiliation":[{"name":"Institute of Natural Disaster Research, School of Environment, Northeast Normal University, Changchun 130024, China"},{"name":"Key Laboratory for Vegetation Ecology, Ministry of Education, Changchun 130024, China"},{"name":"State Environmental Protection Key Laboratory of Wetland Ecology and Vegetation Restoration, Northeast Normal University, Changchun 130024, China"}]},{"ORCID":"https:\/\/orcid.org\/0000-0001-6077-8429","authenticated-orcid":false,"given":"Jiquan","family":"Zhang","sequence":"additional","affiliation":[{"name":"Institute of Natural Disaster Research, School of Environment, Northeast Normal University, Changchun 130024, China"},{"name":"Key Laboratory for Vegetation Ecology, Ministry of Education, Changchun 130024, China"},{"name":"State Environmental Protection Key Laboratory of Wetland Ecology and Vegetation Restoration, Northeast Normal University, Changchun 130024, China"}]},{"given":"Zhijun","family":"Tong","sequence":"additional","affiliation":[{"name":"Institute of Natural Disaster Research, School of Environment, Northeast Normal University, Changchun 130024, China"},{"name":"Key Laboratory for Vegetation Ecology, Ministry of Education, Changchun 130024, China"},{"name":"State Environmental Protection Key Laboratory of Wetland Ecology and Vegetation Restoration, Northeast Normal University, Changchun 130024, China"}]},{"given":"Mingxi","family":"Zhang","sequence":"additional","affiliation":[{"name":"Institute of Natural Disaster Research, School of Environment, Northeast Normal University, Changchun 130024, China"}]},{"ORCID":"https:\/\/orcid.org\/0000-0001-7246-2982","authenticated-orcid":false,"given":"Ahmed","family":"El-Zeiny","sequence":"additional","affiliation":[{"name":"Environmental Studies Department, National Authority for Remote Sensing and Space Sciences, Cairo 11769, Egypt"}]},{"ORCID":"https:\/\/orcid.org\/0000-0003-0785-1337","authenticated-orcid":false,"given":"Cheechouyang","family":"Faichia","sequence":"additional","affiliation":[{"name":"Institute of Natural Disaster Research, School of Environment, Northeast Normal University, Changchun 130024, China"}]},{"ORCID":"https:\/\/orcid.org\/0000-0003-1160-7994","authenticated-orcid":false,"given":"Muhammad","family":"Hussain","sequence":"additional","affiliation":[{"name":"Institute of Natural Disaster Research, School of Environment, Northeast Normal University, Changchun 130024, China"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-5132-0798","authenticated-orcid":false,"given":"Muhammad","family":"Tayyab","sequence":"additional","affiliation":[{"name":"Institute of Natural Disaster Research, School of Environment, Northeast Normal University, Changchun 130024, China"}]}],"member":"1968","published-online":{"date-parts":[[2021,4,21]]},"reference":[{"key":"ref_1","doi-asserted-by":"crossref","unstructured":"Nagy-Kov\u00e1cs, Z., Davidesz, J., Czihat-M\u00e1rtonn\u00e9, K., Till, G., Fleit, E., and Grischek, T. 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