{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,11,24]],"date-time":"2025-11-24T09:57:36Z","timestamp":1763978256579,"version":"build-2065373602"},"reference-count":23,"publisher":"MDPI AG","issue":"19","license":[{"start":{"date-parts":[[2021,10,3]],"date-time":"2021-10-03T00:00:00Z","timestamp":1633219200000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/creativecommons.org\/licenses\/by\/4.0\/"}],"funder":[{"name":"This research was jointly funded by High Resolution Earth Observation Systems of National Science and Technology Major Projects","award":["05-Y30B01-9001-19\/20-2"],"award-info":[{"award-number":["05-Y30B01-9001-19\/20-2"]}]},{"name":"National Natural Science Foundation of China, and Dragon 5","award":["41971318 (No. 59193)."],"award-info":[{"award-number":["41971318 (No. 59193)."]}]}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["Remote Sensing"],"abstract":"<jats:p>Some lakes in China have undergone serious eutrophication, with cyanobacterial blooms occurring frequently. Dynamic monitoring of cyanobacterial blooms is important. At present, the traditional lake-survey-based cyanobacterial bloom monitoring is spatiotemporally limited and requires considerable human and material resources. Although satellite remote sensing can rapidly monitor large-scale cyanobacterial blooms, clouds and other factors often mean that effective images cannot be obtained. It is also difficult to use this method to dynamically monitor and manage aquatic environments and provide early warnings of cyanobacterial blooms in lakes and reservoirs. In contrast, ground-based remote sensing can operate under cloud cover and thus act as a new technical method to dynamically monitor cyanobacterial blooms. In this study, ground-based remote-sensing technology was applied to multitemporal, multidirectional, and multiscene monitoring of cyanobacterial blooms in Dianchi Lake via an area array multispectral camera mounted on a rotatable cloud platform at a fixed station. Results indicate that ground-based imaging remote sensing can accurately reflect the spatiotemporal distribution characteristics of cyanobacterial blooms and provide timely and accurate data for salvage treatment and early warnings. Thus, ground-based multispectral remote-sensing data can operationalize the dynamic monitoring of cyanobacterial blooms. The methods and results from this study can provide references for monitoring such blooms in other lakes.<\/jats:p>","DOI":"10.3390\/rs13193970","type":"journal-article","created":{"date-parts":[[2021,10,8]],"date-time":"2021-10-08T21:26:20Z","timestamp":1633728380000},"page":"3970","update-policy":"https:\/\/doi.org\/10.3390\/mdpi_crossmark_policy","source":"Crossref","is-referenced-by-count":16,"title":["Monitoring Cyanobacteria Bloom in Dianchi Lake Based on Ground-Based Multispectral Remote-Sensing Imaging: Preliminary Results"],"prefix":"10.3390","volume":"13","author":[{"given":"Huan","family":"Zhao","sequence":"first","affiliation":[{"name":"Satellite Application Center for Ecology and Environment, Ministry of Ecology and Environment of the People\u2019s Republic of China, Beijing 100094, China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-8590-9736","authenticated-orcid":false,"given":"Junsheng","family":"Li","sequence":"additional","affiliation":[{"name":"Key Laboratory of Digital Earth Science, Aerospace Information Research Institute, Chinese Academy of Sciences, Beijing 100094, China"},{"name":"School of Electronic, Electrical and Communication Engineering, University of Chinese Academy of Sciences, Beijing 100049, China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Xiang","family":"Yan","sequence":"additional","affiliation":[{"name":"The Ecological and Environmental Monitoring Station of DEEY in Kunming, Kunming 650000, China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Shengzhong","family":"Fang","sequence":"additional","affiliation":[{"name":"The Ecological and Environmental Monitoring Station of DEEY in Kunming, Kunming 650000, China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Yichen","family":"Du","sequence":"additional","affiliation":[{"name":"Key Laboratory of Digital Earth Science, Aerospace Information Research Institute, Chinese Academy of Sciences, Beijing 100094, China"},{"name":"School of Electronic, Electrical and Communication Engineering, University of Chinese Academy of Sciences, Beijing 100049, China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Bin","family":"Xue","sequence":"additional","affiliation":[{"name":"Xi\u2019an Institute of Optics and Precision Mechanics, Chinese Academy of Sciences, Xi\u2019an 710119, China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Kai","family":"Yu","sequence":"additional","affiliation":[{"name":"Key Laboratory of Digital Earth Science, Aerospace Information Research Institute, Chinese Academy of Sciences, Beijing 100094, China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Chen","family":"Wang","sequence":"additional","affiliation":[{"name":"Satellite Application Center for Ecology and Environment, Ministry of Ecology and Environment of the People\u2019s Republic of China, Beijing 100094, China"}],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"1968","published-online":{"date-parts":[[2021,10,3]]},"reference":[{"key":"ref_1","first-page":"2297","article-title":"Analysis of water bloom distribution characteristics of Chaohu Lake based on the coordination of heaven and earth","volume":"38","author":"Zhao","year":"2018","journal-title":"China Environ. Sci."},{"key":"ref_2","doi-asserted-by":"crossref","first-page":"34","DOI":"10.1109\/JSTARS.2017.2757006","article-title":"Distinguishing cyanobacterial bloom from floating leaf vegetation in Lake Taihu based on medium-resolution imaging spectrometer (MERIS) data","volume":"11","author":"Zhu","year":"2018","journal-title":"IEEE J. Sel. Top. Appl. Earth Obs. Remote Sens."},{"key":"ref_3","doi-asserted-by":"crossref","first-page":"8552","DOI":"10.1080\/01431161.2018.1488289","article-title":"Landsat-satellite-based analysis of spatial\u2013temporal dynamics and drivers of CyanoHABs in the plateau Lake Dianchi","volume":"39","author":"Zhao","year":"2018","journal-title":"Int. J. Remote Sens."},{"key":"ref_4","doi-asserted-by":"crossref","first-page":"624","DOI":"10.18307\/2016.0319","article-title":"Research on monitoring algorithm of cyanobacteria bloom in Taihu Lake based on environmental satellite CCD data","volume":"28","author":"Nai","year":"2016","journal-title":"J. Lake Sci."},{"key":"ref_5","doi-asserted-by":"crossref","unstructured":"Ogashawara, I. (2020). Determination of phycocyanin from space\u2014A bibliometric analysis. Remote Sens., 12.","DOI":"10.3390\/rs12030567"},{"key":"ref_6","doi-asserted-by":"crossref","first-page":"18310","DOI":"10.1038\/s41598-019-54453-y","article-title":"Measurement of cyanobacterial bloom magnitude using satellite remote sensing","volume":"9","author":"Mishra","year":"2019","journal-title":"Sci. Rep."},{"key":"ref_7","doi-asserted-by":"crossref","unstructured":"Chen, R. (2019). Application and Evaluation of High Frequency Monitoring of Floating Algal Bloom Based on Himawari-8\/AHI. [Master\u2032s Thesis, Xiamen University].","DOI":"10.1016\/j.rse.2019.03.038"},{"key":"ref_8","doi-asserted-by":"crossref","first-page":"19","DOI":"10.1007\/s12518-019-00270-x","article-title":"Multispectral UAV monitoring of submerged seaweed in shallow water","volume":"12","author":"Taddia","year":"2020","journal-title":"Appl. Geomat."},{"key":"ref_9","doi-asserted-by":"crossref","first-page":"110889","DOI":"10.1016\/j.marpolbul.2020.110889","article-title":"Remote sensing of coastal algal blooms using unmanned aerial vehicles (UAVs)","volume":"152","author":"Cheng","year":"2020","journal-title":"Mar. Pollut. Bull."},{"key":"ref_10","doi-asserted-by":"crossref","unstructured":"Padr\u00f3, J., Mu\u00f1oz, F., Avila, L., Pesquer, L., and Pons, X. (2018). Radiometric correction of Landsat-8 and Sentinel-2A scenes using drone imagery in synergy with field spectroradiometry. Remote Sens., 10.","DOI":"10.3390\/rs10111687"},{"key":"ref_11","doi-asserted-by":"crossref","unstructured":"Kislik, C., Dronova, I., and Kelly, M. (2018). UAVs in support of algal bloom research: A review of current applications and future opportunities. Drones, 2.","DOI":"10.3390\/drones2040035"},{"key":"ref_12","doi-asserted-by":"crossref","first-page":"211","DOI":"10.1007\/s10661-019-7365-8","article-title":"A review on drone-based harmful algae blooms monitoring","volume":"191","author":"Wu","year":"2019","journal-title":"Environ. Monit. Assess."},{"key":"ref_13","doi-asserted-by":"crossref","unstructured":"Wei, L., Huang, C., Zhong, Y., Wang, Z., Hu, X., and Lin, L. (2019). Inland waters suspended solids concentration retrieval based on PSO-LSSVM for UAV-borne hyperspectral remote sensing imagery. Remote Sens., 11.","DOI":"10.3390\/rs11121455"},{"key":"ref_14","doi-asserted-by":"crossref","unstructured":"Wei, L., Huang, C., Wang, Z., Wang, Z., Zhou, X., and Cao, L. (2019). Monitoring of urban black-odor water based on Nemerow Index and gradient boosting decision tree regression using UAV-borne hyperspectral imagery. Remote Sens., 11.","DOI":"10.3390\/rs11202402"},{"key":"ref_15","doi-asserted-by":"crossref","first-page":"1","DOI":"10.1016\/j.scitotenv.2014.03.031","article-title":"Satellite data regarding the eutrophication response to human activities in the plateau lake Dianchi in China from 1974 to 2009","volume":"485","author":"Huang","year":"2014","journal-title":"Sci. Total Environ."},{"key":"ref_16","first-page":"555","article-title":"Spatial-temporal variation of water bloom in Dianchi Lake based on NDVI","volume":"28","author":"He","year":"2019","journal-title":"Ecol. Environ."},{"key":"ref_17","first-page":"113","article-title":"Remote sensing monitoring of Taihu Lake water quality by using GF-1 satellite WFV data","volume":"27","author":"Zhu","year":"2015","journal-title":"Remote Sens. Land Resour."},{"key":"ref_18","first-page":"83","article-title":"Remote sensing monitoring and annual statistical analysis of cyanobacteria bloom in Dianchi Lake based on hj-1ccd","volume":"Volume 7","author":"Zhu","year":"2012","journal-title":"Proceedings of the 16th China Environmental Remote Sensing Application Technology Forum"},{"key":"ref_19","first-page":"405","article-title":"Temporal and spatial variation of water bloom in Dianchi Lake based on normalized vegetation index","volume":"59","author":"Liu","year":"2018","journal-title":"J. Zhejiang Agric. Sci."},{"key":"ref_20","first-page":"237","article-title":"Study on the spatial distribution characteristics of cyanobacteria bloom in Dianchi Lake based on GF-5","volume":"51","author":"Hu","year":"2021","journal-title":"Laser Infrared"},{"key":"ref_21","doi-asserted-by":"crossref","first-page":"C4","DOI":"10.1029\/2009JC005511","article-title":"MODIS observations of cyanobacteria blooms in Taihu Lake, China","volume":"115","author":"Hu","year":"2010","journal-title":"J. Geophys. Res. Oceans."},{"key":"ref_22","doi-asserted-by":"crossref","unstructured":"Cao, M., Mao, K., Shen, X., Xu, T., Yan, Y., and Yuan, Z. (2020). Monitoring the spatial and temporal variations in the water surface and floating algal bloom areas in Dongting Lake using a long-term MODIS image time series. Remote Sens., 12.","DOI":"10.3390\/rs12213622"},{"key":"ref_23","first-page":"506","article-title":"Effects of wind and waves on colloidal nutrients and phytoplankton in Taihu Lake","volume":"28","author":"Sun","year":"2007","journal-title":"Environ. Sci."}],"container-title":["Remote Sensing"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/www.mdpi.com\/2072-4292\/13\/19\/3970\/pdf","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2025,10,11]],"date-time":"2025-10-11T07:09:14Z","timestamp":1760166554000},"score":1,"resource":{"primary":{"URL":"https:\/\/www.mdpi.com\/2072-4292\/13\/19\/3970"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2021,10,3]]},"references-count":23,"journal-issue":{"issue":"19","published-online":{"date-parts":[[2021,10]]}},"alternative-id":["rs13193970"],"URL":"https:\/\/doi.org\/10.3390\/rs13193970","relation":{},"ISSN":["2072-4292"],"issn-type":[{"type":"electronic","value":"2072-4292"}],"subject":[],"published":{"date-parts":[[2021,10,3]]}}}