{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2024,11,19]],"date-time":"2024-11-19T18:16:26Z","timestamp":1732040186881},"reference-count":42,"publisher":"Elsevier BV","license":[{"start":{"date-parts":[[2021,3,1]],"date-time":"2021-03-01T00:00:00Z","timestamp":1614556800000},"content-version":"tdm","delay-in-days":0,"URL":"https:\/\/www.elsevier.com\/tdm\/userlicense\/1.0\/"},{"start":{"date-parts":[[2021,3,1]],"date-time":"2021-03-01T00:00:00Z","timestamp":1614556800000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-017"},{"start":{"date-parts":[[2021,3,1]],"date-time":"2021-03-01T00:00:00Z","timestamp":1614556800000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-037"},{"start":{"date-parts":[[2021,3,1]],"date-time":"2021-03-01T00:00:00Z","timestamp":1614556800000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-012"},{"start":{"date-parts":[[2021,3,1]],"date-time":"2021-03-01T00:00:00Z","timestamp":1614556800000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-029"},{"start":{"date-parts":[[2021,3,1]],"date-time":"2021-03-01T00:00:00Z","timestamp":1614556800000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-004"}],"funder":[{"DOI":"10.13039\/501100004731","name":"Natural Science Foundation of Zhejiang Province","doi-asserted-by":"publisher","id":[{"id":"10.13039\/501100004731","id-type":"DOI","asserted-by":"publisher"}]}],"content-domain":{"domain":["elsevier.com","sciencedirect.com"],"crossmark-restriction":true},"short-container-title":["Ecological Informatics"],"published-print":{"date-parts":[[2021,3]]},"DOI":"10.1016\/j.ecoinf.2021.101239","type":"journal-article","created":{"date-parts":[[2021,1,20]],"date-time":"2021-01-20T16:57:37Z","timestamp":1611161857000},"page":"101239","update-policy":"http:\/\/dx.doi.org\/10.1016\/elsevier_cm_policy","source":"Crossref","is-referenced-by-count":24,"special_numbering":"C","title":["Evaluation of water quality based on UAV images and the IMP-MPP algorithm"],"prefix":"10.1016","volume":"61","author":[{"given":"Hanting","family":"Ying","sequence":"first","affiliation":[]},{"given":"Kai","family":"Xia","sequence":"additional","affiliation":[]},{"given":"Xinxi","family":"Huang","sequence":"additional","affiliation":[]},{"given":"Hailin","family":"Feng","sequence":"additional","affiliation":[]},{"given":"Yinhui","family":"Yang","sequence":"additional","affiliation":[]},{"given":"Xiaochen","family":"Du","sequence":"additional","affiliation":[]},{"given":"Leijun","family":"Huang","sequence":"additional","affiliation":[]}],"member":"78","reference":[{"key":"10.1016\/j.ecoinf.2021.101239_bb0005","doi-asserted-by":"crossref","first-page":"171","DOI":"10.1016\/j.marpolbul.2015.06.052","article-title":"Development of wavelet-ANN models to predict water quality parameters in Hilo Bay, Pacific Ocean","volume":"98","author":"Alizadeh","year":"2015","journal-title":"Mar. Pollut. Bull."},{"key":"10.1016\/j.ecoinf.2021.101239_bb0010","doi-asserted-by":"crossref","first-page":"1511","DOI":"10.1007\/s11069-016-2641-1","article-title":"Evaluating the accuracy of ANN and LR models to estimate the water quality in Zarivar international wetland, Iran","volume":"85","author":"Amanollahi","year":"2016","journal-title":"Nat. Hazards"},{"key":"10.1016\/j.ecoinf.2021.101239_bb0015","doi-asserted-by":"crossref","first-page":"103","DOI":"10.1016\/j.ecolind.2009.11.001","article-title":"A review of methods for analysing spatial and temporal patterns in coastal water quality","volume":"11","author":"Bierman","year":"2011","journal-title":"Ecol. Indic."},{"key":"10.1016\/j.ecoinf.2021.101239_bb0020","doi-asserted-by":"crossref","first-page":"28","DOI":"10.1016\/j.rse.2014.10.032","article-title":"Using multi-temporal Landsat imagery and linear mixed models for assessing water quality parameters in R\u00edo Tercero reservoir (Argentina)","volume":"158","author":"Bonansea","year":"2015","journal-title":"Remote Sens. Environ."},{"key":"10.1016\/j.ecoinf.2021.101239_bb0025","doi-asserted-by":"crossref","first-page":"253","DOI":"10.1016\/j.scitotenv.2016.09.050","article-title":"Dynamics of limnological parameters in reservoirs: a case study in South Brazil using remote sensing and meteorological data","volume":"574","author":"Breunig","year":"2017","journal-title":"Sci. Total Environ."},{"key":"10.1016\/j.ecoinf.2021.101239_bb0030","doi-asserted-by":"crossref","first-page":"21","DOI":"10.1016\/j.ecoinf.2018.01.004","article-title":"Remote sensing of water quality based on HJ-1A HSI imagery with modified discrete binary particle swarm optimization-partial least squares (MDBPSO-PLS) in inland waters: a case in Weishan Lake","volume":"44","author":"Cao","year":"2018","journal-title":"Ecol. Informatics"},{"key":"10.1016\/j.ecoinf.2021.101239_bb0040","first-page":"11","article-title":"Remote estimation of colored dissolved organic matter and chlorophyll-a in Lake Huron using Sentinel-2 measurements","author":"Chen","year":"2017","journal-title":"J. Appl. Remote. Sens."},{"key":"10.1016\/j.ecoinf.2021.101239_bb0045","doi-asserted-by":"crossref","first-page":"6467","DOI":"10.3390\/w7116467","article-title":"Obtaining the thermal structure of lakes from the air","volume":"7","author":"Chung","year":"2015","journal-title":"Water"},{"key":"10.1016\/j.ecoinf.2021.101239_bb0050","doi-asserted-by":"crossref","first-page":"416","DOI":"10.1016\/j.jenvman.2014.12.003","article-title":"Integrated satellite data fusion and mining for monitoring lake water quality status of the Albufera de Valencia in Spain","volume":"151","author":"Dona","year":"2015","journal-title":"J. Environ. Manag."},{"key":"10.1016\/j.ecoinf.2021.101239_bb0055","doi-asserted-by":"crossref","first-page":"1013","DOI":"10.1002\/hyp.13372","article-title":"Monitoring turbidity from above: deploying small unoccupied aerial vehicles to image in-stream turbidity","volume":"33","author":"Ehmann","year":"2019","journal-title":"Hydrol. Process."},{"key":"10.1016\/j.ecoinf.2021.101239_bb0060","series-title":"Application of UAV and Low Power Wide Area Communication Technology for Monitoring of River Water Quality, 2018 2nd International Conference on Smart Sensors and Application (ICSSA)","first-page":"105","author":"Elijah","year":"2018"},{"key":"10.1016\/j.ecoinf.2021.101239_bb0065","doi-asserted-by":"crossref","DOI":"10.3390\/w11071468","article-title":"Monitoring coastal lagoon water quality through remote sensing: the mar Menor as a case study","volume":"11","author":"Erena","year":"2019","journal-title":"Water"},{"key":"10.1016\/j.ecoinf.2021.101239_bb0070","doi-asserted-by":"crossref","first-page":"203","DOI":"10.1177\/000944550704300209","article-title":"China\u2019s economic development and environment protection","volume":"43","author":"Gang","year":"2016","journal-title":"China Rep."},{"key":"10.1016\/j.ecoinf.2021.101239_bb0075","doi-asserted-by":"crossref","DOI":"10.3390\/s16081298","article-title":"A comprehensive review on water quality parameters estimation using remote sensing techniques","volume":"16","author":"Gholizadeh","year":"2016","journal-title":"Sensors (Basel)"},{"key":"10.1016\/j.ecoinf.2021.101239_bb0080","doi-asserted-by":"crossref","first-page":"24116","DOI":"10.3390\/s141224116","article-title":"Evaluation of multi-resolution satellite sensors for assessing water quality and bottom depth of Lake Garda","volume":"14","author":"Giardino","year":"2014","journal-title":"Sensors (Basel)"},{"key":"10.1016\/j.ecoinf.2021.101239_bb0085","first-page":"11","article-title":"Evaluation of regression analysis and neural networks to predict total suspended solids in water bodies from unmanned aerial vehicle images","author":"Guimar\u00e3es","year":"2019","journal-title":"Sustainability"},{"key":"10.1016\/j.ecoinf.2021.101239_bb0090","doi-asserted-by":"crossref","DOI":"10.3390\/rs11060617","article-title":"Comparison of machine learning algorithms for retrieval of water quality indicators in case-II waters: a case study of Hong Kong","volume":"11","author":"Hafeez","year":"2019","journal-title":"Remote Sens."},{"key":"10.1016\/j.ecoinf.2021.101239_bb0095","doi-asserted-by":"crossref","first-page":"163","DOI":"10.1007\/s11783-008-0027-7","article-title":"Water quality monitoring in a slightly-polluted inland water body through remote sensing\u2014case study of the Guanting reservoir in Beijing, China","volume":"2","author":"He","year":"2008","journal-title":"Front. Environ. Sci. Eng. China"},{"key":"10.1016\/j.ecoinf.2021.101239_bb0100","doi-asserted-by":"crossref","DOI":"10.1016\/j.ecoinf.2020.101119","article-title":"Modeling for multi-temporal cyanobacterial bloom dominance and distributions using landsat imagery","volume":"59","author":"Isenstein","year":"2020","journal-title":"Ecol. Informatics"},{"key":"10.1016\/j.ecoinf.2021.101239_bb0105","doi-asserted-by":"crossref","first-page":"S183","DOI":"10.1002\/tee.22253","article-title":"Analysis of water quality in Miharu dam reservoir, Japan, using UAV data","volume":"11","author":"Kageyama","year":"2016","journal-title":"IEEJ Trans. Electr. Electron. Eng."},{"key":"10.1016\/j.ecoinf.2021.101239_bb0110","doi-asserted-by":"crossref","first-page":"1831","DOI":"10.1002\/tee.22745","article-title":"Application of fuzzy regression analysis and fuzzy C-means technique using UAV data to understand water quality in the Miharu dam reservoir, Japan","volume":"13","author":"Kageyama","year":"2018","journal-title":"IEEJ Trans. Electr. Electron. Eng."},{"key":"10.1016\/j.ecoinf.2021.101239_bb0115","doi-asserted-by":"crossref","first-page":"325","DOI":"10.1016\/j.jher.2014.09.006","article-title":"Artificial neural network ensemble modeling with conjunctive data clustering for water quality prediction in rivers","volume":"9","author":"Kim","year":"2015","journal-title":"J. Hydro Environ. Res."},{"key":"10.1016\/j.ecoinf.2021.101239_bb0120","doi-asserted-by":"crossref","first-page":"809","DOI":"10.7780\/kjrs.2014.30.6.11","article-title":"High Resolution Ocean color products estimation in fjord of Svalbard, Arctic Sea using Landsat-8 OLI","volume":"30","author":"Kim","year":"2014","journal-title":"Korean J. Remote Sens."},{"key":"10.1016\/j.ecoinf.2021.101239_bb0125","first-page":"10","article-title":"Evaluation of a UAV-assisted autonomous water sampling","author":"Koparan","year":"2018","journal-title":"Water"},{"key":"10.1016\/j.ecoinf.2021.101239_bb0130","doi-asserted-by":"crossref","first-page":"264","DOI":"10.3390\/w10030264","article-title":"In situ water quality measurements using an unmanned aerial vehicle (UAV) system","volume":"10","author":"Koparan","year":"2018","journal-title":"Water"},{"key":"10.1016\/j.ecoinf.2021.101239_bb0135","doi-asserted-by":"crossref","first-page":"145","DOI":"10.1016\/j.isprsjprs.2015.05.009","article-title":"Improved capabilities of the Chinese high-resolution remote sensing satellite GF-1 for monitoring suspended particulate matter (SPM) in inland waters: radiometric and spatial considerations","volume":"106","author":"Li","year":"2015","journal-title":"ISPRS J. Photogramm. Remote Sens."},{"key":"10.1016\/j.ecoinf.2021.101239_bb0140","doi-asserted-by":"crossref","first-page":"384","DOI":"10.1007\/s10661-015-4616-1","article-title":"Assessment of water quality based on Landsat 8 operational land imager associated with human activities in Korea","volume":"187","author":"Lim","year":"2015","journal-title":"Environ. Monit. Assess."},{"key":"10.1016\/j.ecoinf.2021.101239_bb0145","first-page":"9","article-title":"Application of sentinel 2 MSI images to retrieve suspended particulate matter concentrations in Poyang Lake","author":"Liu","year":"2017","journal-title":"Remote Sens."},{"key":"10.1016\/j.ecoinf.2021.101239_bb0150","first-page":"1241","article-title":"Inversion of water quality elements in small and micro-size water region using multispectral image by UAV","volume":"39","author":"Liu","year":"2019","journal-title":"Acta Sci. Circumst."},{"key":"10.1016\/j.ecoinf.2021.101239_bb0155","doi-asserted-by":"crossref","first-page":"2732","DOI":"10.1016\/j.patcog.2014.02.009","article-title":"Stochastic reasoning for structural pattern recognition: an example from image-based UAV navigation","volume":"47","author":"Michaelsen","year":"2014","journal-title":"Pattern Recogn."},{"key":"10.1016\/j.ecoinf.2021.101239_bb0160","doi-asserted-by":"crossref","first-page":"274","DOI":"10.1080\/10106049.2016.1140818","article-title":"Remote estimation of water quality parameters of Himalayan lake (Kashmir) using Landsat 8 OLI imagery","volume":"32","author":"Mushtaq","year":"2016","journal-title":"Geocarto Int."},{"key":"10.1016\/j.ecoinf.2021.101239_bb0165","doi-asserted-by":"crossref","DOI":"10.1016\/j.ecoinf.2020.101183","article-title":"Spectral analysis using LANDSAT images to monitor the chlorophyll-a concentration in Lake Laja in Chile","volume":"60","author":"Rodr\u00edguez-L\u00f3pez","year":"2020","journal-title":"Ecol. Informatics"},{"key":"10.1016\/j.ecoinf.2021.101239_bb0170","doi-asserted-by":"crossref","first-page":"61","DOI":"10.18005\/JRST0103002","article-title":"Remote sensing application for water quality assessment in Lake Timsah, Suez Canal, Egypt","author":"Saad El-Din","year":"2013","journal-title":"J. Remote Sens. Technol."},{"key":"10.1016\/j.ecoinf.2021.101239_bb0175","first-page":"159","author":"S\u00e1enz","year":"2015"},{"key":"10.1016\/j.ecoinf.2021.101239_bb0180","doi-asserted-by":"crossref","first-page":"7534","DOI":"10.1080\/01431161.2013.823524","article-title":"Barriers to adopting satellite remote sensing for water quality management","volume":"34","author":"Schaeffer","year":"2013","journal-title":"Int. J. Remote Sens."},{"key":"10.1016\/j.ecoinf.2021.101239_bb0185","first-page":"16","article-title":"Atmospheric correction of satellite GF-1\/WFV imagery and quantitative estimation of suspended particulate matter in the Yangtze estuary","author":"Shang","year":"2016","journal-title":"Sensors (Basel)"},{"key":"10.1016\/j.ecoinf.2021.101239_bb0190","first-page":"213","article-title":"A study of a matching pixel by pixel (MPP) algorithm to establish an empirical model of water quality mapping, as based on unmanned aerial vehicle (UAV) images","volume":"58","author":"Su","year":"2017","journal-title":"Int. J. Appl. Earth Obs. Geoinf."},{"key":"10.1016\/j.ecoinf.2021.101239_bb0195","doi-asserted-by":"crossref","first-page":"10078","DOI":"10.3390\/rs70810078","article-title":"Application of multispectral sensors carried on unmanned aerial vehicle (UAV) to trophic state mapping of small reservoirs: a case study of Tain-Pu reservoir in Kinmen, Taiwan","volume":"7","author":"Su","year":"2015","journal-title":"Remote Sens."},{"key":"10.1016\/j.ecoinf.2021.101239_bb0200","doi-asserted-by":"crossref","DOI":"10.3390\/rs8080640","article-title":"First experiences in mapping Lake water quality parameters with Sentinel-2 MSI imagery","volume":"8","author":"Toming","year":"2016","journal-title":"Remote Sens."},{"key":"10.1016\/j.ecoinf.2021.101239_bb0205","doi-asserted-by":"crossref","first-page":"22670","DOI":"10.3390\/s141222670","article-title":"Hyperspectral sensing for turbid water quality monitoring in freshwater rivers: empirical relationship between reflectance and turbidity and total solids","volume":"14","author":"Wu","year":"2014","journal-title":"Sensors (Basel)"},{"key":"10.1016\/j.ecoinf.2021.101239_bb0210","series-title":"2019 IEEE International Symposium on Olfaction and Electronic Nose (ISOEN)","first-page":"1","article-title":"Assessment and prediction of fishery water quality using electrochemical sensor array carried by UAV","author":"Yao","year":"2019"},{"key":"10.1016\/j.ecoinf.2021.101239_bb0215","doi-asserted-by":"crossref","first-page":"1139","DOI":"10.14358\/PERS.80.12.1139","article-title":"Retrieval of spectral reflectance of high resolution multispectral imagery acquired with an autonomous unmanned aerial vehicle","volume":"80","author":"Zaman","year":"2014","journal-title":"Photogramm. Eng. Remote. Sens."}],"container-title":["Ecological Informatics"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/api.elsevier.com\/content\/article\/PII:S1574954121000303?httpAccept=text\/xml","content-type":"text\/xml","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/api.elsevier.com\/content\/article\/PII:S1574954121000303?httpAccept=text\/plain","content-type":"text\/plain","content-version":"vor","intended-application":"text-mining"}],"deposited":{"date-parts":[[2023,4,15]],"date-time":"2023-04-15T17:37:30Z","timestamp":1681580250000},"score":1,"resource":{"primary":{"URL":"https:\/\/linkinghub.elsevier.com\/retrieve\/pii\/S1574954121000303"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2021,3]]},"references-count":42,"alternative-id":["S1574954121000303"],"URL":"https:\/\/doi.org\/10.1016\/j.ecoinf.2021.101239","relation":{},"ISSN":["1574-9541"],"issn-type":[{"value":"1574-9541","type":"print"}],"subject":[],"published":{"date-parts":[[2021,3]]},"assertion":[{"value":"Elsevier","name":"publisher","label":"This article is maintained by"},{"value":"Evaluation of water quality based on UAV images and the IMP-MPP algorithm","name":"articletitle","label":"Article Title"},{"value":"Ecological Informatics","name":"journaltitle","label":"Journal Title"},{"value":"https:\/\/doi.org\/10.1016\/j.ecoinf.2021.101239","name":"articlelink","label":"CrossRef DOI link to publisher maintained version"},{"value":"article","name":"content_type","label":"Content Type"},{"value":"\u00a9 2021 Elsevier B.V. All rights reserved.","name":"copyright","label":"Copyright"}],"article-number":"101239"}}
