{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,10,3]],"date-time":"2026-10-03T06:35:25Z","timestamp":1791009325499,"version":"4.1.0"},"reference-count":81,"publisher":"Elsevier BV","license":[{"start":{"date-parts":[[2024,2,1]],"date-time":"2024-02-01T00:00:00Z","timestamp":1706745600000},"content-version":"tdm","delay-in-days":0,"URL":"https:\/\/www.elsevier.com\/tdm\/userlicense\/1.0\/"},{"start":{"date-parts":[[2024,2,1]],"date-time":"2024-02-01T00:00:00Z","timestamp":1706745600000},"content-version":"tdm","delay-in-days":0,"URL":"https:\/\/www.elsevier.com\/legal\/tdmrep-license"},{"start":{"date-parts":[[2024,2,1]],"date-time":"2024-02-01T00:00:00Z","timestamp":1706745600000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-017"},{"start":{"date-parts":[[2024,2,1]],"date-time":"2024-02-01T00:00:00Z","timestamp":1706745600000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-037"},{"start":{"date-parts":[[2024,2,1]],"date-time":"2024-02-01T00:00:00Z","timestamp":1706745600000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-012"},{"start":{"date-parts":[[2024,2,1]],"date-time":"2024-02-01T00:00:00Z","timestamp":1706745600000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-029"},{"start":{"date-parts":[[2024,2,1]],"date-time":"2024-02-01T00:00:00Z","timestamp":1706745600000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-004"}],"funder":[{"DOI":"10.13039\/100012542","name":"Sichuan Province Science and Technology Support Program","doi-asserted-by":"publisher","award":["2023NSFSC0283"],"award-info":[{"award-number":["2023NSFSC0283"]}],"id":[{"id":"10.13039\/100012542","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/501100001809","name":"National Natural Science Foundation of China","doi-asserted-by":"publisher","award":["51639007"],"award-info":[{"award-number":["51639007"]}],"id":[{"id":"10.13039\/501100001809","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/501100001809","name":"National Natural Science Foundation of China","doi-asserted-by":"publisher","award":["52239006"],"award-info":[{"award-number":["52239006"]}],"id":[{"id":"10.13039\/501100001809","id-type":"DOI","asserted-by":"publisher"}]}],"content-domain":{"domain":["elsevier.com","sciencedirect.com"],"crossmark-restriction":true},"short-container-title":["Journal of Environmental Management"],"published-print":{"date-parts":[[2024,2]]},"DOI":"10.1016\/j.jenvman.2024.120202","type":"journal-article","created":{"date-parts":[[2024,2,2]],"date-time":"2024-02-02T17:19:56Z","timestamp":1706894396000},"page":"120202","update-policy":"https:\/\/doi.org\/10.1016\/elsevier_cm_policy","source":"Crossref","is-referenced-by-count":12,"special_numbering":"C","title":["Improving on mapping long-term surface water with a novel framework based on the Landsat imagery series"],"prefix":"10.1016","volume":"353","author":[{"given":"Ling","family":"Lan","sequence":"first","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Yu-Ge","family":"Wang","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Hao-Shuang","family":"Chen","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Xu-Rui","family":"Gao","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0003-0065-404X","authenticated-orcid":false,"given":"Xie-Kang","family":"Wang","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0001-5540-8319","authenticated-orcid":false,"given":"Xu-Feng","family":"Yan","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"78","reference":[{"issue":"5","key":"10.1016\/j.jenvman.2024.120202_bib1","doi-asserted-by":"crossref","first-page":"1305","DOI":"10.1175\/JHM-D-16-0155.1","article-title":"A global dynamic long-term inundation extent dataset at high spatial resolution derived through downscaling of satellite observations","volume":"18","author":"Aires","year":"2017","journal-title":"J. Hydrometeorol."},{"issue":"1\u20134","key":"10.1016\/j.jenvman.2024.120202_bib2","doi-asserted-by":"crossref","first-page":"247","DOI":"10.1007\/s10661-010-1686-y","article-title":"Changes in the area of inland lakes in arid regions of central Asia during the past 30 years","volume":"178","author":"Bai","year":"2011","journal-title":"Environ. Monit. Assess."},{"issue":"4","key":"10.1016\/j.jenvman.2024.120202_bib3","doi-asserted-by":"crossref","first-page":"68","DOI":"10.1007\/s40899-020-00425-4","article-title":"Surface water detection and delineation using remote sensing images: a review of methods and algorithms","volume":"6","author":"Bijeesh","year":"2020","journal-title":"Sustainable Water Resources Management"},{"issue":"4","key":"10.1016\/j.jenvman.2024.120202_bib4","doi-asserted-by":"crossref","first-page":"1124","DOI":"10.1002\/eap.1507","article-title":"Surface-water dynamics and land use influence landscape connectivity across a major dryland region","volume":"27","author":"Bishop-Taylor","year":"2017","journal-title":"Ecol. Appl."},{"issue":"15","key":"10.1016\/j.jenvman.2024.120202_bib5","doi-asserted-by":"crossref","DOI":"10.1029\/2022GL098987","article-title":"The global surface area variations of lakes and reservoirs as seen from satellite remote sensing","volume":"49","author":"Bonnema","year":"2022","journal-title":"Geophys. Res. Lett."},{"issue":"1","key":"10.1016\/j.jenvman.2024.120202_bib6","doi-asserted-by":"crossref","first-page":"5","DOI":"10.1023\/A:1010933404324","article-title":"Random forests","volume":"45","author":"Breiman","year":"2001","journal-title":"Mach. Learn."},{"key":"10.1016\/j.jenvman.2024.120202_bib7","doi-asserted-by":"crossref","DOI":"10.1016\/j.jenvman.2021.113952","article-title":"A machine learning approach to identify barriers in stream networks demonstrates high prevalence of unmapped riverine dams","volume":"302","author":"Buchanan","year":"2022","journal-title":"J. Environ. Manag."},{"key":"10.1016\/j.jenvman.2024.120202_bib8","doi-asserted-by":"crossref","DOI":"10.1016\/j.ancene.2022.100346","article-title":"Changes in extent of open-surface water bodies in China's Yellow River Basin (2000\u20132020) using Google Earth Engine cloud platform","volume":"39","author":"Cao","year":"2022","journal-title":"Anthropocene"},{"key":"10.1016\/j.jenvman.2024.120202_bib9","doi-asserted-by":"crossref","first-page":"98","DOI":"10.1016\/j.rse.2017.02.007","article-title":"Climate- and human-induced changes in suspended particulate matter over Lake Hongze on short and long timescales","volume":"192","author":"Cao","year":"2017","journal-title":"Rem. Sens. Environ."},{"issue":"22","key":"10.1016\/j.jenvman.2024.120202_bib10","doi-asserted-by":"crossref","DOI":"10.3390\/rs14225785","article-title":"Extracting urban water bodies from Landsat imagery based on mNDWI and HSV transformation","volume":"14","author":"Chang","year":"2022","journal-title":"Rem. Sens."},{"key":"10.1016\/j.jenvman.2024.120202_bib11","doi-asserted-by":"crossref","first-page":"145","DOI":"10.3189\/172756408787814690","article-title":"Snow depth derived from passive microwave remote-sensing data in China","volume":"49","author":"Che","year":"2008","journal-title":"Ann. Glaciol."},{"issue":"2","key":"10.1016\/j.jenvman.2024.120202_bib12","doi-asserted-by":"crossref","first-page":"335","DOI":"10.11834\/jrs.20211248","article-title":"Research and application of PIE-Engine Studio for spatiotemporal remote sensing cloud computing platform","volume":"26","author":"Cheng","year":"2022","journal-title":"National Remote Sensing Bulletin"},{"issue":"3","key":"10.1016\/j.jenvman.2024.120202_bib13","doi-asserted-by":"crossref","DOI":"10.1029\/2021WR030026","article-title":"Monitoring the storage volume of water reservoirs using Google Earth engine","volume":"58","author":"Conde\u00e7a","year":"2022","journal-title":"Water Resour. Res."},{"issue":"3","key":"10.1016\/j.jenvman.2024.120202_bib14","doi-asserted-by":"crossref","first-page":"301","DOI":"10.1016\/0034-4257(85)90102-6","article-title":"A TM Tasseled Cap equivalent transformation for reflectance factor data","volume":"17","author":"Crist","year":"1985","journal-title":"Rem. Sens. Environ."},{"issue":"1","key":"10.1016\/j.jenvman.2024.120202_bib15","doi-asserted-by":"crossref","first-page":"470","DOI":"10.1016\/j.jhazmat.2007.08.078","article-title":"Cyanobacteria and their toxins in guanting reservoir of Beijing, China","volume":"153","author":"Dai","year":"2008","journal-title":"J. Hazard Mater."},{"issue":"8","key":"10.1016\/j.jenvman.2024.120202_bib16","doi-asserted-by":"crossref","DOI":"10.1061\/JHYEFF.HEENG-5891","article-title":"Novel threshold self-regulating water extraction method","volume":"28","author":"Dong","year":"2023","journal-title":"J. Hydrol. Eng."},{"issue":"2","key":"10.1016\/j.jenvman.2024.120202_bib17","doi-asserted-by":"crossref","first-page":"113","DOI":"10.1080\/17538947.2015.1026420","article-title":"A global, high-resolution (30-m) inland water body dataset for 2000: first results of a topographic\u2013spectral classification algorithm","volume":"9","author":"Feng","year":"2016","journal-title":"International Journal of Digital Earth"},{"key":"10.1016\/j.jenvman.2024.120202_bib18","doi-asserted-by":"crossref","first-page":"23","DOI":"10.1016\/j.rse.2013.08.029","article-title":"Automated Water Extraction Index: a new technique for surface water mapping using Landsat imagery","volume":"140","author":"Feyisa","year":"2014","journal-title":"Rem. Sens. Environ."},{"key":"10.1016\/j.jenvman.2024.120202_bib19","doi-asserted-by":"crossref","first-page":"167","DOI":"10.1016\/j.rse.2015.12.055","article-title":"Comparing Landsat water index methods for automated water classification in eastern Australia","volume":"175","author":"Fisher","year":"2016","journal-title":"Rem. Sens. Environ."},{"key":"10.1016\/j.jenvman.2024.120202_bib20","doi-asserted-by":"crossref","first-page":"379","DOI":"10.1016\/j.rse.2017.03.026","article-title":"Cloud detection algorithm comparison and validation for operational Landsat data products","volume":"194","author":"Foga","year":"2017","journal-title":"Rem. Sens. Environ."},{"key":"10.1016\/j.jenvman.2024.120202_bib21","doi-asserted-by":"crossref","first-page":"18","DOI":"10.1016\/j.rse.2017.06.031","article-title":"Google Earth engine: planetary-scale geospatial analysis for everyone","volume":"202","author":"Gorelick","year":"2017","journal-title":"Rem. Sens. Environ."},{"issue":"7755","key":"10.1016\/j.jenvman.2024.120202_bib22","doi-asserted-by":"crossref","first-page":"215","DOI":"10.1038\/s41586-019-1111-9","article-title":"Mapping the world's free-flowing rivers","volume":"569","author":"Grill","year":"2019","journal-title":"Nature"},{"issue":"2","key":"10.1016\/j.jenvman.2024.120202_bib23","doi-asserted-by":"crossref","first-page":"333","DOI":"10.1029\/2018RG000598","article-title":"Detecting, extracting, and monitoring surface water from space using optical sensors: a review","volume":"56","author":"Huang","year":"2018","journal-title":"Rev. Geophys."},{"issue":"2","key":"10.1016\/j.jenvman.2024.120202_bib24","first-page":"113","article-title":"A near real-time flood-mapping approach by integrating social media and post-event satellite imagery","volume":"24","author":"Huang","year":"2018","journal-title":"Spatial Sci."},{"issue":"2","key":"10.1016\/j.jenvman.2024.120202_bib25","doi-asserted-by":"crossref","first-page":"615","DOI":"10.1007\/s41685-023-00288-5","article-title":"Development of a near-infrared band derived water indices algorithm for rapid flash flood inundation mapping from sentinel-2 remote sensing datasets","volume":"7","author":"Islam","year":"2023","journal-title":"Asia-Pacific Journal of Regional Science"},{"key":"10.1016\/j.jenvman.2024.120202_bib26","first-page":"1","article-title":"Noise removal and enhancement of binary images using morphological operations","volume":"4","author":"Jamil","year":"2008","journal-title":"2008 International Symposium on Information Technology"},{"issue":"12","key":"10.1016\/j.jenvman.2024.120202_bib27","doi-asserted-by":"crossref","DOI":"10.1029\/2018WR023060","article-title":"Construction of the 500\u2010m resolution daily global surface water change database (2001\u20132016)","volume":"54","author":"Ji","year":"2018","journal-title":"Water Resour. Res."},{"issue":"6","key":"10.1016\/j.jenvman.2024.120202_bib28","doi-asserted-by":"crossref","first-page":"5067","DOI":"10.3390\/rs6065067","article-title":"An automated method for extracting rivers and lakes from Landsat imagery","volume":"6","author":"Jiang","year":"2014","journal-title":"Rem. Sens."},{"key":"10.1016\/j.jenvman.2024.120202_bib29","doi-asserted-by":"crossref","first-page":"36","DOI":"10.1016\/j.isprsjprs.2021.05.019","article-title":"Rapid and large-scale mapping of flood inundation via integrating spaceborne synthetic aperture radar imagery with unsupervised deep learning","volume":"178","author":"Jiang","year":"2021","journal-title":"ISPRS J. Photogrammetry Remote Sens."},{"issue":"10","key":"10.1016\/j.jenvman.2024.120202_bib30","doi-asserted-by":"crossref","first-page":"3833","DOI":"10.1016\/j.rse.2008.06.006","article-title":"Development of a two-band enhanced vegetation index without a blue band","volume":"112","author":"Jiang","year":"2008","journal-title":"Rem. Sens. Environ."},{"issue":"9","key":"10.1016\/j.jenvman.2024.120202_bib31","doi-asserted-by":"crossref","first-page":"494","DOI":"10.1890\/100125","article-title":"High\u2010resolution mapping of the world's reservoirs and dams for sustainable river\u2010flow management","volume":"9","author":"Lehner","year":"2011","journal-title":"Front. Ecol. Environ."},{"key":"10.1016\/j.jenvman.2024.120202_bib32","doi-asserted-by":"crossref","DOI":"10.1016\/j.scitotenv.2020.138352","article-title":"Polyfluoroalkyl substances in Danjiangkou Reservoir, China: occurrence, composition, and source appointment","volume":"725","author":"Li","year":"2020","journal-title":"Sci. Total Environ."},{"issue":"1","key":"10.1016\/j.jenvman.2024.120202_bib33","article-title":"Spatiotemporal change analysis of long time series inland water in Sri Lanka based on remote sensing cloud computing","volume":"12","author":"Li","year":"2022","journal-title":"Sci. Rep."},{"key":"10.1016\/j.jenvman.2024.120202_bib34","doi-asserted-by":"crossref","first-page":"53","DOI":"10.1016\/j.isprsjprs.2019.10.017","article-title":"A local thresholding approach to flood water delineation using Sentinel-1 SAR imagery","volume":"159","author":"Liang","year":"2020","journal-title":"ISPRS J. Photogrammetry Remote Sens."},{"key":"10.1016\/j.jenvman.2024.120202_bib35","doi-asserted-by":"crossref","first-page":"74","DOI":"10.1016\/j.jes.2020.09.018","article-title":"Distribution and source of microplastics in China's second largest reservoir\u2014Danjiangkou Reservoir","volume":"102","author":"Lin","year":"2021","journal-title":"J. Environ. Sci."},{"issue":"4","key":"10.1016\/j.jenvman.2024.120202_bib36","doi-asserted-by":"crossref","first-page":"606","DOI":"10.1016\/j.rse.2006.10.010","article-title":"Comparative assessment of the measures of thematic classification accuracy","volume":"107","author":"Liu","year":"2007","journal-title":"Rem. Sens. Environ."},{"issue":"2","key":"10.1016\/j.jenvman.2024.120202_bib37","doi-asserted-by":"crossref","first-page":"567","DOI":"10.1016\/j.envpol.2006.08.001","article-title":"Landscape ecology of the Guanting Reservoir, Beijing, China: multivariate and geostatistical analyses of metals in soils","volume":"146","author":"Luo","year":"2007","journal-title":"Environ. Pollut."},{"issue":"11","key":"10.1016\/j.jenvman.2024.120202_bib38","doi-asserted-by":"crossref","first-page":"4315","DOI":"10.1080\/01431161.2022.2111531","article-title":"High-resolution global water body datasets underestimate the extent of small rivers","volume":"43","author":"Mao","year":"2022","journal-title":"Int. J. Rem. Sens."},{"key":"10.1016\/j.jenvman.2024.120202_bib39","doi-asserted-by":"crossref","DOI":"10.1016\/j.rse.2020.111968","article-title":"Landsat 9: empowering open science and applications through continuity","volume":"248","author":"Masek","year":"2020","journal-title":"Rem. Sens. Environ."},{"issue":"7","key":"10.1016\/j.jenvman.2024.120202_bib40","doi-asserted-by":"crossref","first-page":"1425","DOI":"10.1080\/01431169608948714","article-title":"The use of the Normalized Difference Water Index (NDWI) in the delineation of open water features","volume":"17","author":"McFEETERS","year":"1996","journal-title":"Int. J. Rem. Sens."},{"key":"10.1016\/j.jenvman.2024.120202_bib41","doi-asserted-by":"crossref","first-page":"1","DOI":"10.1155\/2015\/903465","article-title":"Automatic extraction of water bodies from Landsat imagery using perceptron model","volume":"2015","author":"Mishra","year":"2015","journal-title":"Journal of Computational Environmental Sciences"},{"key":"10.1016\/j.jenvman.2024.120202_bib42","doi-asserted-by":"crossref","DOI":"10.1016\/j.scitotenv.2022.154419","article-title":"Anthropogenic stressors compound climate impacts on inland lake dynamics: the case of Hamun Lakes","volume":"829","author":"Modaresi Rad","year":"2022","journal-title":"Sci. Total Environ."},{"issue":"10","key":"10.1016\/j.jenvman.2024.120202_bib43","doi-asserted-by":"crossref","first-page":"8419","DOI":"10.1007\/s12517-015-1795-6","article-title":"Applying MNDWI index and linear directional mean analysis for morphological changes in the Zarrin\u00e9-R\u016bd River","volume":"8","author":"Moghaddam","year":"2015","journal-title":"Arabian J. Geosci."},{"issue":"47","key":"10.1016\/j.jenvman.2024.120202_bib44","doi-asserted-by":"crossref","first-page":"11891","DOI":"10.1073\/pnas.1809426115","article-title":"Sustainable hydropower in the 21st century","volume":"115","author":"Moran","year":"2018","journal-title":"Proc. Natl. Acad. Sci. USA"},{"issue":"5","key":"10.1016\/j.jenvman.2024.120202_bib45","doi-asserted-by":"crossref","first-page":"2373","DOI":"10.5194\/hess-25-2373-2021","article-title":"A simple cloud-filling approach for remote sensing water cover assessments","volume":"25","author":"Mullen","year":"2021","journal-title":"Hydrol. Earth Syst. Sci."},{"key":"10.1016\/j.jenvman.2024.120202_bib46","doi-asserted-by":"crossref","DOI":"10.1016\/j.rse.2022.113121","article-title":"Dynamic surface water maps of Canada from 1984 to 2019 Landsat satellite imagery","volume":"279","author":"Olthof","year":"2022","journal-title":"Rem. Sens. Environ."},{"issue":"1","key":"10.1016\/j.jenvman.2024.120202_bib47","doi-asserted-by":"crossref","first-page":"62","DOI":"10.1109\/TSMC.1979.4310076","article-title":"A threshold selection method from gray-level histograms","volume":"9","author":"Otsu","year":"1979","journal-title":"IEEE Transactions on Systems, Man, and Cybernetics"},{"issue":"11","key":"10.1016\/j.jenvman.2024.120202_bib48","doi-asserted-by":"crossref","DOI":"10.1029\/2008GL033857","article-title":"Variations of surface water extent and water storage in large river basins: a comparison of different global data sources","volume":"35","author":"Papa","year":"2008","journal-title":"Geophys. Res. Lett."},{"issue":"4","key":"10.1016\/j.jenvman.2024.120202_bib49","doi-asserted-by":"crossref","first-page":"905","DOI":"10.1007\/s40899-017-0184-6","article-title":"Application and comparison of advanced supervised classifiers in extraction of water bodies from remote sensing images","volume":"4","author":"Paul","year":"2018","journal-title":"Sustainable Water Resources Management"},{"issue":"7633","key":"10.1016\/j.jenvman.2024.120202_bib50","doi-asserted-by":"crossref","first-page":"418","DOI":"10.1038\/nature20584","article-title":"High-resolution mapping of global surface water and its long-term changes","volume":"540","author":"Pekel","year":"2016","journal-title":"Nature"},{"key":"10.1016\/j.jenvman.2024.120202_bib51","doi-asserted-by":"crossref","first-page":"156","DOI":"10.1016\/j.rse.2016.10.010","article-title":"Assessing the robustness of Random Forests to map land cover with high resolution satellite image time series over large areas","volume":"187","author":"Pelletier","year":"2016","journal-title":"Rem. Sens. Environ."},{"issue":"1","key":"10.1016\/j.jenvman.2024.120202_bib52","article-title":"Mapping global lake dynamics reveals the emerging roles of small lakes","volume":"13","author":"Pi","year":"2022","journal-title":"Nat. Commun."},{"key":"10.1016\/j.jenvman.2024.120202_bib53","doi-asserted-by":"crossref","DOI":"10.1016\/j.envsoft.2021.105030","article-title":"Augmented normalized difference water index for improved surface water monitoring","volume":"140","author":"Rad","year":"2021","journal-title":"Environ. Model. Software"},{"issue":"5","key":"10.1016\/j.jenvman.2024.120202_bib54","doi-asserted-by":"crossref","first-page":"4173","DOI":"10.3390\/rs6054173","article-title":"Water feature extraction and change detection using multitemporal Landsat imagery","volume":"6","author":"Rokni","year":"2014","journal-title":"Rem. Sens."},{"key":"10.1016\/j.jenvman.2024.120202_bib55","doi-asserted-by":"crossref","first-page":"57","DOI":"10.1016\/j.rse.2015.12.024","article-title":"Characterization of Landsat-7 to Landsat-8 reflective wavelength and normalized difference vegetation index continuity","volume":"185","author":"Roy","year":"2016","journal-title":"Rem. Sens. Environ."},{"issue":"3","key":"10.1016\/j.jenvman.2024.120202_bib56","doi-asserted-by":"crossref","first-page":"493","DOI":"10.1111\/j.1752-1688.1987.tb00828.x","article-title":"The relationship between summer-season rainfall events and lake-surface Area 1","volume":"23","author":"Rundquist","year":"1987","journal-title":"JAWRA Journal of the American Water Resources Association"},{"issue":"12","key":"10.1016\/j.jenvman.2024.120202_bib57","doi-asserted-by":"crossref","first-page":"5671","DOI":"10.5194\/essd-14-5671-2022","article-title":"High-resolution water level and storage variation datasets for 338 reservoirs in China during 2010\u20132021","volume":"14","author":"Shen","year":"2022","journal-title":"Earth Syst. Sci. Data"},{"issue":"6","key":"10.1016\/j.jenvman.2024.120202_bib58","doi-asserted-by":"crossref","first-page":"650","DOI":"10.1080\/10106049.2014.965757","article-title":"Evaluation of NDWI and MNDWI for assessment of waterlogging by integrating digital elevation model and groundwater level","volume":"30","author":"Singh","year":"2015","journal-title":"Geocarto Int."},{"key":"10.1016\/j.jenvman.2024.120202_bib59","doi-asserted-by":"crossref","DOI":"10.1016\/j.envsoft.2022.105305","article-title":"Sentinel-1 based inland water dynamics mapping system (SIMS)","volume":"149","author":"Soman","year":"2022","journal-title":"Environ. Model. Software"},{"issue":"1","key":"10.1016\/j.jenvman.2024.120202_bib60","doi-asserted-by":"crossref","first-page":"77","DOI":"10.1016\/S0034-4257(97)00083-7","article-title":"Selecting and interpreting measures of thematic classification accuracy","volume":"62","author":"Stehman","year":"1997","journal-title":"Rem. Sens. Environ."},{"key":"10.1016\/j.jenvman.2024.120202_bib61","doi-asserted-by":"crossref","DOI":"10.1016\/j.ecoser.2019.101046","article-title":"Ecosystem services of Earth's largest freshwater lakes","volume":"41","author":"Sterner","year":"2020","journal-title":"Ecosyst. Serv."},{"issue":"7870","key":"10.1016\/j.jenvman.2024.120202_bib62","doi-asserted-by":"crossref","DOI":"10.1038\/s41586-021-03695-w","article-title":"Satellite imaging reveals increased proportion of population exposed to floods","volume":"596","author":"Tellman","year":"2021","journal-title":"Nature"},{"issue":"11","key":"10.1016\/j.jenvman.2024.120202_bib63","doi-asserted-by":"crossref","first-page":"1435","DOI":"10.1080\/01431168608948946","article-title":"Analysis of the dynamics of African vegetation using the normalized difference vegetation index","volume":"7","author":"Townshend","year":"1986","journal-title":"Int. J. Rem. Sens."},{"issue":"10","key":"10.1016\/j.jenvman.2024.120202_bib64","doi-asserted-by":"crossref","first-page":"1635","DOI":"10.3390\/rs10101635","article-title":"Long-term surface water dynamics analysis based on Landsat imagery and the Google Earth engine platform: a case study in the middle yangtze River Basin","volume":"10","author":"Wang","year":"2018","journal-title":"Rem. Sens."},{"key":"10.1016\/j.jenvman.2024.120202_bib65","article-title":"Filling gaps in Landsat ETM+ SLC-off images with Sentinel-2 MSI images","volume":"101","author":"Wang","year":"2021","journal-title":"Int. J. Appl. Earth Obs. Geoinf."},{"issue":"8","key":"10.1016\/j.jenvman.2024.120202_bib66","doi-asserted-by":"crossref","first-page":"3757","DOI":"10.5194\/essd-14-3757-2022","article-title":"Improved maps of surface water bodies, large dams, reservoirs, and lakes in China","volume":"14","author":"Wang","year":"2022","journal-title":"Earth Syst. Sci. Data"},{"issue":"9","key":"10.1016\/j.jenvman.2024.120202_bib67","doi-asserted-by":"crossref","DOI":"10.3390\/f13091489","article-title":"Annual change analysis of mangrove forests in China during 1986\u20132021 based on Google Earth engine","volume":"13","author":"Wang","year":"2022","journal-title":"Forests"},{"issue":"2","key":"10.1016\/j.jenvman.2024.120202_bib68","doi-asserted-by":"crossref","first-page":"218","DOI":"10.1016\/j.rse.2006.05.007","article-title":"MODIS enhanced vegetation index predicts tree species richness across forested ecoregions in the contiguous U.S.A","volume":"103","author":"Waring","year":"2006","journal-title":"Rem. Sens. Environ."},{"issue":"4","key":"10.1016\/j.jenvman.2024.120202_bib69","doi-asserted-by":"crossref","first-page":"582","DOI":"10.1016\/j.rse.2006.10.019","article-title":"Improved wetland remote sensing in Yellowstone National Park using classification trees to combine TM imagery and ancillary environmental data","volume":"107","author":"Wright","year":"2007","journal-title":"Rem. Sens. Environ."},{"issue":"1","key":"10.1016\/j.jenvman.2024.120202_bib70","doi-asserted-by":"crossref","first-page":"30","DOI":"10.1016\/j.wse.2014.11.001","article-title":"Evaluation, prediction, and protection of water quality in Danjiangkou Reservoir, China","volume":"8","author":"Xin","year":"2015","journal-title":"Water Sci. Eng."},{"issue":"14","key":"10.1016\/j.jenvman.2024.120202_bib71","doi-asserted-by":"crossref","first-page":"3025","DOI":"10.1080\/01431160600589179","article-title":"Modification of normalised difference water index (NDWI) to enhance open water features in remotely sensed imagery","volume":"27","author":"Xu","year":"2006","journal-title":"Int. J. Rem. Sens."},{"issue":"7","key":"10.1016\/j.jenvman.2024.120202_bib72","doi-asserted-by":"crossref","first-page":"956","DOI":"10.1016\/j.patrec.2011.01.021","article-title":"Characteristic analysis of Otsu threshold and its applications","volume":"32","author":"Xu","year":"2011","journal-title":"Pattern Recogn. Lett."},{"issue":"20","key":"10.1016\/j.jenvman.2024.120202_bib73","doi-asserted-by":"crossref","DOI":"10.3390\/rs14205154","article-title":"A Random Forest Algorithm for Landsat Image Chromatic Aberration Restoration Based on GEE Cloud Platform\u2014A Case Study of Yucat\u00e1n Peninsula, Mexico","volume":"14","author":"Yan","year":"2022","journal-title":"Rem. Sens."},{"issue":"12","key":"10.1016\/j.jenvman.2024.120202_bib74","doi-asserted-by":"crossref","first-page":"4726","DOI":"10.1109\/JSTARS.2014.2309707","article-title":"River Delineation from Remotely Sensed Imagery Using a Multi-Scale Classification Approach","volume":"7","author":"Yang","year":"2014","journal-title":"IEEE J. Sel. Top. Appl. Earth Obs. Rem. Sens."},{"key":"10.1016\/j.jenvman.2024.120202_bib75","doi-asserted-by":"crossref","DOI":"10.1016\/j.rse.2020.111803","article-title":"Monthly estimation of the surface water extent in France at a 10-m resolution using Sentinel-2 data","volume":"244","author":"Yang","year":"2020","journal-title":"Rem. Sens. Environ."},{"key":"10.1016\/j.jenvman.2024.120202_bib76","doi-asserted-by":"crossref","DOI":"10.1016\/j.rse.2019.111210","article-title":"Constructing long-term high-frequency time series of global lake and reservoir areas using Landsat imagery","volume":"232","author":"Yao","year":"2019","journal-title":"Rem. Sens. Environ."},{"key":"10.1016\/j.jenvman.2024.120202_bib77","doi-asserted-by":"crossref","first-page":"85","DOI":"10.1016\/j.quaint.2012.12.042","article-title":"Maximum water level of Hongze Lake and its relationship with natural changes and human activities from 1736 to 2005","volume":"304","author":"Yin","year":"2013","journal-title":"Quat. Int."},{"issue":"12","key":"10.1016\/j.jenvman.2024.120202_bib78","doi-asserted-by":"crossref","first-page":"6092","DOI":"10.1029\/2018GL078343","article-title":"Automatic Correction of Contaminated Images for Assessment of Reservoir Surface Area Dynamics","volume":"45","author":"Zhao","year":"2018","journal-title":"Geophys. Res. Lett."},{"issue":"1","key":"10.1016\/j.jenvman.2024.120202_bib79","doi-asserted-by":"crossref","first-page":"309","DOI":"10.1175\/JHM-D-15-0002.1","article-title":"The Contribution of Reservoirs to Global Land Surface Water Storage Variations","volume":"17","author":"Zhou","year":"2016","journal-title":"J. Hydrometeorol."},{"key":"10.1016\/j.jenvman.2024.120202_bib80","doi-asserted-by":"crossref","first-page":"49","DOI":"10.1016\/j.rse.2012.04.019","article-title":"A new geostatistical approach for filling gaps in Landsat ETM+ SLC-off images","volume":"124","author":"Zhu","year":"2012","journal-title":"Rem. Sens. Environ."},{"issue":"15","key":"10.1016\/j.jenvman.2024.120202_bib81","doi-asserted-by":"crossref","first-page":"3810","DOI":"10.1073\/pnas.1719275115","article-title":"Divergent trends of open-surface water body area in the contiguous United States from 1984 to 2016","volume":"115","author":"Zou","year":"2018","journal-title":"Proc. Natl. Acad. Sci. USA"}],"container-title":["Journal of Environmental Management"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/api.elsevier.com\/content\/article\/PII:S0301479724001889?httpAccept=text\/xml","content-type":"text\/xml","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/api.elsevier.com\/content\/article\/PII:S0301479724001889?httpAccept=text\/plain","content-type":"text\/plain","content-version":"vor","intended-application":"text-mining"}],"deposited":{"date-parts":[[2025,3,17]],"date-time":"2025-03-17T06:05:14Z","timestamp":1742191514000},"score":1,"resource":{"primary":{"URL":"https:\/\/linkinghub.elsevier.com\/retrieve\/pii\/S0301479724001889"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2024,2]]},"references-count":81,"alternative-id":["S0301479724001889"],"URL":"https:\/\/doi.org\/10.1016\/j.jenvman.2024.120202","relation":{},"ISSN":["0301-4797"],"issn-type":[{"value":"0301-4797","type":"print"}],"subject":[],"published":{"date-parts":[[2024,2]]},"assertion":[{"value":"Elsevier","name":"publisher","label":"This article is maintained by"},{"value":"Improving on mapping long-term surface water with a novel framework based on the Landsat imagery series","name":"articletitle","label":"Article Title"},{"value":"Journal of Environmental Management","name":"journaltitle","label":"Journal Title"},{"value":"https:\/\/doi.org\/10.1016\/j.jenvman.2024.120202","name":"articlelink","label":"CrossRef DOI link to publisher maintained version"},{"value":"article","name":"content_type","label":"Content Type"},{"value":"\u00a9 2024 Elsevier Ltd. All rights reserved.","name":"copyright","label":"Copyright"}],"article-number":"120202"}}