{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,3,6]],"date-time":"2026-03-06T15:00:57Z","timestamp":1772809257496,"version":"3.50.1"},"reference-count":43,"publisher":"MDPI AG","issue":"23","license":[{"start":{"date-parts":[[2019,11,26]],"date-time":"2019-11-26T00:00:00Z","timestamp":1574726400000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/creativecommons.org\/licenses\/by\/4.0\/"}],"funder":[{"DOI":"10.13039\/501100001809","name":"National Natural Science Foundation of China","doi-asserted-by":"publisher","award":["41431176, 41671358, 41771366"],"award-info":[{"award-number":["41431176, 41671358, 41771366"]}],"id":[{"id":"10.13039\/501100001809","id-type":"DOI","asserted-by":"publisher"}]},{"name":"NIGLAS Cross-functional Innovation Teams","award":["NIGLAS2016TD01"],"award-info":[{"award-number":["NIGLAS2016TD01"]}]},{"DOI":"10.13039\/501100004543","name":"China Scholarship Council","doi-asserted-by":"publisher","award":["201904910725"],"award-info":[{"award-number":["201904910725"]}],"id":[{"id":"10.13039\/501100004543","id-type":"DOI","asserted-by":"publisher"}]}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["Remote Sensing"],"abstract":"<jats:p>The temporal resolution of satellite determines how well remote sensing products represent changes in the lake environments and influences the practical applications by end-users. Here, a resampling method was used to reproduce the suspended particulate matter (SPM) dataset in 43 large lakes (&gt;50 km2) on the eastern China plain during 2003\u20132017 at different temporal resolutions using MODIS Aqua (MODISA) based on Google Earth Engine platform, then to address the impact of temporal resolution on the long-term SPM dataset. Differences between the MODISA-derived and reproduced SPM dataset at longer temporal resolution were higher in the areas with large water dynamics. The spatial and temporal distributions of the differences were driven by unfavorable observation environments during satellite overpasses such as high cloud cover, and rapid changes in water quality, such as water inundation, algae blooms, and macrophytes. Furthermore, the annual mean difference in SPM ranged from 5\u201310% when the temporal difference was less than 10 d, and the differences in summer and autumn were higher than that of other seasons and surpassed 20% when the temporal resolution was more than 16 d. To assure that difference were less than 10% for long-term satellite-derived SPM datasets, the minimal requirement of temporal resolution should be within 5 d for most of the inland lakes and 3 d for lakes with large changes in water quality. This research can be used to not only evaluate the reliability of historically remote sensing products but also provide a reference for planning field campaigns and applying of high spatial resolution satellite missions to monitor aquatic systems in the future.<\/jats:p>","DOI":"10.3390\/rs11232785","type":"journal-article","created":{"date-parts":[[2019,11,26]],"date-time":"2019-11-26T10:57:27Z","timestamp":1574765847000},"page":"2785","update-policy":"https:\/\/doi.org\/10.3390\/mdpi_crossmark_policy","source":"Crossref","is-referenced-by-count":14,"title":["Effect of Satellite Temporal Resolution on Long-Term Suspended Particulate Matter in Inland Lakes"],"prefix":"10.3390","volume":"11","author":[{"ORCID":"https:\/\/orcid.org\/0000-0001-5329-2906","authenticated-orcid":false,"given":"Zhigang","family":"Cao","sequence":"first","affiliation":[{"name":"Key Laboratory of Watershed Geographic Sciences, Nanjing Institute of Geography and Limnology, Chinese Academy of Sciences, Nanjing 210008, China"},{"name":"University of Chinese Academy of Sciences, Beijing 100049, China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Ronghua","family":"Ma","sequence":"additional","affiliation":[{"name":"Key Laboratory of Watershed Geographic Sciences, Nanjing Institute of Geography and Limnology, Chinese Academy of Sciences, Nanjing 210008, China"},{"name":"Jiangsu Collaborative Innovation Center of Regional Modern Agriculture &amp; Environmental Protection, Huaiyin Normal University, Huai\u2019an 223300, China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-1985-2292","authenticated-orcid":false,"given":"Hongtao","family":"Duan","sequence":"additional","affiliation":[{"name":"Key Laboratory of Watershed Geographic Sciences, Nanjing Institute of Geography and Limnology, Chinese Academy of Sciences, Nanjing 210008, China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Kun","family":"Xue","sequence":"additional","affiliation":[{"name":"Key Laboratory of Watershed Geographic Sciences, Nanjing Institute of Geography and Limnology, Chinese Academy of Sciences, Nanjing 210008, China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0001-9726-4587","authenticated-orcid":false,"given":"Ming","family":"Shen","sequence":"additional","affiliation":[{"name":"Key Laboratory of Watershed Geographic Sciences, Nanjing Institute of Geography and Limnology, Chinese Academy of Sciences, Nanjing 210008, China"},{"name":"University of Chinese Academy of Sciences, Beijing 100049, China"}],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"1968","published-online":{"date-parts":[[2019,11,26]]},"reference":[{"key":"ref_1","doi-asserted-by":"crossref","first-page":"1071","DOI":"10.1126\/science.1058821","article-title":"Managing Water for People and Nature","volume":"292","author":"Johnson","year":"2001","journal-title":"Science"},{"key":"ref_2","doi-asserted-by":"crossref","first-page":"2388","DOI":"10.4319\/lo.2006.51.5.2388","article-title":"The global abundance and size distribution of lakes, ponds, and impoundments","volume":"51","author":"Downing","year":"2006","journal-title":"Limnol. Oceanogr."},{"key":"ref_3","doi-asserted-by":"crossref","first-page":"2283","DOI":"10.4319\/lo.2009.54.6_part_2.2283","article-title":"Lakes as sentinels of climate change","volume":"54","author":"Adrian","year":"2009","journal-title":"Limnol. Oceanogr."},{"key":"ref_4","doi-asserted-by":"crossref","first-page":"3522","DOI":"10.1021\/es8031852","article-title":"Two-Decade Reconstruction of Algal Blooms in China\u2019s Lake Taihu","volume":"43","author":"Duan","year":"2009","journal-title":"Environ. Sci. Technol."},{"key":"ref_5","doi-asserted-by":"crossref","first-page":"728","DOI":"10.4319\/lo.2008.53.2.0728","article-title":"Spatial variability of climate and land-use effects on lakes of the northern Great Plains","volume":"53","author":"Pham","year":"2008","journal-title":"Limnol. Oceanogr."},{"key":"ref_6","doi-asserted-by":"crossref","first-page":"1452","DOI":"10.1139\/f03-127","article-title":"Determining long-term water quality change in the presence of climate variability: Lake Tahoe (U.S.A.)","volume":"60","author":"Jassby","year":"2003","journal-title":"Can. J. Fish. Aquat.Sci."},{"key":"ref_7","doi-asserted-by":"crossref","first-page":"809","DOI":"10.1038\/nclimate1581","article-title":"Harmful filamentous cyanobacteria favoured by reduced water turnover with lake warming","volume":"2","author":"Posch","year":"2012","journal-title":"Nat. Clim. Chang."},{"key":"ref_8","doi-asserted-by":"crossref","first-page":"354","DOI":"10.1016\/j.scib.2019.02.008","article-title":"Why Lake Taihu continues to be plagued with cyanobacterial blooms through 10 years (2007\u20132017) efforts","volume":"64","author":"Qin","year":"2019","journal-title":"Sci. Bull."},{"key":"ref_9","doi-asserted-by":"crossref","first-page":"151","DOI":"10.1016\/j.rse.2019.03.038","article-title":"High-frequency observation of floating algae from AHI on Himawari-8","volume":"227","author":"Chen","year":"2019","journal-title":"Remote Sens. Environ."},{"key":"ref_10","doi-asserted-by":"crossref","first-page":"36","DOI":"10.1016\/j.rse.2013.06.020","article-title":"Retrieval of the seawater reflectance for suspended solids monitoring in the East China Sea using MODIS, MERIS and GOCI satellite data","volume":"146","author":"Doxaran","year":"2014","journal-title":"Remote Sens. Environ."},{"key":"ref_11","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":"ref_12","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":"Remote Sens. Environ."},{"key":"ref_13","doi-asserted-by":"crossref","unstructured":"Younos, T., and Parece, T.E. (2015). Remote Sensing for Regional Lake Water Quality Assessment: Capabilities and Limitations of Current and Upcoming Satellite Systems. Advances in Watershed Science and Assessment, Springer International Publishing.","DOI":"10.1007\/978-3-319-14212-8"},{"key":"ref_14","unstructured":"International Ocean-Colour Coordinating Group (IOCCG) (2018). Earth Observations in Support of Global Water Quality Monitoring, International Ocean-Colour Coordinating Group."},{"key":"ref_15","doi-asserted-by":"crossref","first-page":"1","DOI":"10.1016\/j.rse.2014.09.021","article-title":"Remote sensing of inland waters: Challenges, progress and future directions","volume":"157","author":"Palmer","year":"2015","journal-title":"Remote Sens. Environ."},{"key":"ref_16","doi-asserted-by":"crossref","first-page":"15","DOI":"10.1016\/j.rse.2015.02.001","article-title":"Aquatic color radiometry remote sensing of coastal and inland waters: Challenges and recommendations for future satellite missions","volume":"160","author":"Mouw","year":"2015","journal-title":"Remote Sens. Environ."},{"key":"ref_17","doi-asserted-by":"crossref","first-page":"19","DOI":"10.1016\/j.rse.2018.10.027","article-title":"Sentinel-2\/Landsat-8 product consistency and implications for monitoring aquatic systems","volume":"220","author":"Pahlevan","year":"2019","journal-title":"Remote Sens. Environ."},{"key":"ref_18","doi-asserted-by":"crossref","first-page":"15","DOI":"10.1080\/01431160010006917","article-title":"Analytical algorithms for lake water TSM estimation for retrospective analyses of TM and SPOT sensor data","volume":"23","author":"Dekker","year":"2010","journal-title":"Int. J. Remote Sens."},{"key":"ref_19","doi-asserted-by":"crossref","unstructured":"Pahlevan, N., Balasubramanian, S., Sarkar, S., and Franz, B. (2018). Toward Long-Term Aquatic Science Products from Heritage Landsat Missions. Remote Sens., 10.","DOI":"10.3390\/rs10091337"},{"key":"ref_20","doi-asserted-by":"crossref","first-page":"4086","DOI":"10.1016\/j.rse.2007.12.013","article-title":"A 20-year Landsat water clarity census of Minnesota\u2019s 10,000 lakes","volume":"112","author":"Olmanson","year":"2008","journal-title":"Remote Sens. Environ."},{"key":"ref_21","doi-asserted-by":"crossref","first-page":"1761","DOI":"10.1109\/TGRS.2014.2348713","article-title":"Cross-Sensor Continuity of Satellite-Derived Water Clarity in the Gulf of Mexico: Insights Into Temporal Aliasing and Implications for Long-Term Water Clarity Assessment","volume":"53","author":"Barnes","year":"2015","journal-title":"IEEE Trans. Geosci. Remote Sens."},{"key":"ref_22","doi-asserted-by":"crossref","first-page":"328","DOI":"10.1016\/j.rse.2019.03.006","article-title":"Inversion of inherent optical properties in optically complex waters using sentinel-3A\/OLCI images: A case study using China\u2019s three largest freshwater lakes","volume":"225","author":"Xue","year":"2019","journal-title":"Remote Sens. Environ."},{"key":"ref_23","doi-asserted-by":"crossref","first-page":"107","DOI":"10.1016\/j.rse.2016.12.006","article-title":"Fifteen-year monitoring of the turbidity dynamics in large lakes and reservoirs in the middle and lower basin of the Yangtze River, China","volume":"190","author":"Hou","year":"2017","journal-title":"Remote Sens. Environ."},{"key":"ref_24","doi-asserted-by":"crossref","first-page":"3583","DOI":"10.1029\/2017WR021607","article-title":"Can MODIS Land Reflectance Products be Used for Estuarine and Inland Waters?","volume":"54","author":"Feng","year":"2018","journal-title":"Water Resour. Res."},{"key":"ref_25","doi-asserted-by":"crossref","first-page":"5194","DOI":"10.1080\/01431161.2012.657370","article-title":"An automated scheme for glacial lake dynamics mapping using Landsat imagery and digital elevation models: A case study in the Himalayas","volume":"33","author":"Li","year":"2012","journal-title":"Int. J. Remote Sens."},{"key":"ref_26","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":"Remote Sens. Environ."},{"key":"ref_27","doi-asserted-by":"crossref","first-page":"2118","DOI":"10.1016\/j.rse.2009.05.012","article-title":"A novel ocean color index to detect floating algae in the global oceans","volume":"113","author":"Hu","year":"2009","journal-title":"Remote Sens. Environ."},{"key":"ref_28","doi-asserted-by":"crossref","unstructured":"Liang, Q., Zhang, Y., Ma, R., Loiselle, S., Li, J., and Hu, M. (2017). A MODIS-Based Novel Method to Distinguish Surface Cyanobacterial Scums and Aquatic Macrophytes in Lake Taihu. Remote Sens., 9.","DOI":"10.3390\/rs9020133"},{"key":"ref_29","doi-asserted-by":"crossref","first-page":"1791","DOI":"10.1016\/j.rse.2010.04.002","article-title":"Merged satellite ocean color data products using a bio-optical model: Characteristics, benefits and issues","volume":"114","author":"Maritorena","year":"2010","journal-title":"Remote Sens. Environ."},{"key":"ref_30","doi-asserted-by":"crossref","first-page":"1575","DOI":"10.1109\/TGRS.2015.2483500","article-title":"Comparison of Valid Ocean Observations Between MODIS Terra and Aqua Over the Global Oceans","volume":"54","author":"Feng","year":"2016","journal-title":"IEEE Trans. Geosci. Remote Sens."},{"key":"ref_31","doi-asserted-by":"crossref","first-page":"25","DOI":"10.1016\/j.rse.2007.03.008","article-title":"Sampling biases in MODIS and SeaWiFS ocean chlorophyll data","volume":"111","author":"Gregg","year":"2007","journal-title":"Remote Sens. Environ."},{"key":"ref_32","first-page":"3","article-title":"Algorithm for remote sensing of tropospheric aerosol from MODIS","volume":"85","author":"Kaufman","year":"1998","journal-title":"NASA MODIS Algorithm Theor. Basis Doc. Goddard Space Flight Cent."},{"key":"ref_33","doi-asserted-by":"crossref","first-page":"6076","DOI":"10.1080\/01431161.2016.1256508","article-title":"A simple correction method for the MODIS surface reflectance product over typical inland waters in China","volume":"37","author":"Shenglei","year":"2016","journal-title":"Int. J. Remote Sens."},{"key":"ref_34","doi-asserted-by":"crossref","first-page":"444","DOI":"10.1016\/j.rse.2018.08.026","article-title":"Trophic state assessment of global inland waters using a MODIS-derived Forel-Ule index","volume":"217","author":"Wang","year":"2018","journal-title":"Remote Sens. Environ."},{"key":"ref_35","doi-asserted-by":"crossref","first-page":"104","DOI":"10.1016\/j.rse.2019.01.023","article-title":"Performance of Landsat-8 and Sentinel-2 surface reflectance products for river remote sensing retrievals of chlorophyll-a and turbidity","volume":"224","author":"Kuhn","year":"2019","journal-title":"Remote Sens. Environ."},{"key":"ref_36","doi-asserted-by":"crossref","unstructured":"Olmanson, L.G., Brezonik, P.L., and Bauer, M.E. (2011). Evaluation of medium to low resolution satellite imagery for regional lake water quality assessments. Water Resour. Res., 47.","DOI":"10.1029\/2011WR011005"},{"key":"ref_37","doi-asserted-by":"crossref","unstructured":"Xu, Y., Qin, B., Zhu, G., Zhang, Y., Shi, K., Li, Y., Shi, Y., and Chen, L. (2019). High Temporal Resolution Monitoring of Suspended Matter Changes from GOCI Measurements in Lake Taihu. Remote Sens., 11.","DOI":"10.3390\/rs11080985"},{"key":"ref_38","doi-asserted-by":"crossref","first-page":"109","DOI":"10.1016\/j.rse.2015.11.020","article-title":"Monitoring the river plume induced by heavy rainfall events in large, shallow, Lake Taihu using MODIS 250 m imagery","volume":"173","author":"Zhang","year":"2016","journal-title":"Remote Sens. Environ."},{"key":"ref_39","doi-asserted-by":"crossref","first-page":"1918","DOI":"10.2307\/1941546","article-title":"What Does Remote Sensing Do For Ecology?","volume":"72","author":"Roughgarden","year":"1991","journal-title":"Ecology"},{"key":"ref_40","doi-asserted-by":"crossref","unstructured":"Li, J., and Roy, D.P. (2017). A Global Analysis of Sentinel-2A, Sentinel-2B and Landsat-8 Data Revisit Intervals and Implications for Terrestrial Monitoring. Remote Sens., 9.","DOI":"10.3390\/rs9090902"},{"key":"ref_41","doi-asserted-by":"crossref","first-page":"127","DOI":"10.1016\/j.rse.2019.02.015","article-title":"Current status of Landsat program, science, and applications","volume":"225","author":"Wulder","year":"2019","journal-title":"Remote Sens. Environ."},{"key":"ref_42","doi-asserted-by":"crossref","first-page":"37","DOI":"10.1016\/j.rse.2016.04.015","article-title":"The impact of improved signal-to-noise ratios on algorithm performance: Case studies for Landsat class instruments","volume":"185","author":"Schott","year":"2016","journal-title":"Remote Sens. Environ."},{"key":"ref_43","unstructured":"Ruddick, K., Vanhellemont, Q., Dogliotti, A., Nechad, B., Pringle, N., and Zande, D.V.d. (2016, January 23\u201328). New opportunities and challenges for high resolution remote sensing of water colour. Proceedings of the Ocean Optics XXIII, Victoria, BC, Canada."}],"container-title":["Remote Sensing"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/www.mdpi.com\/2072-4292\/11\/23\/2785\/pdf","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2025,10,11]],"date-time":"2025-10-11T13:37:30Z","timestamp":1760189850000},"score":1,"resource":{"primary":{"URL":"https:\/\/www.mdpi.com\/2072-4292\/11\/23\/2785"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2019,11,26]]},"references-count":43,"journal-issue":{"issue":"23","published-online":{"date-parts":[[2019,12]]}},"alternative-id":["rs11232785"],"URL":"https:\/\/doi.org\/10.3390\/rs11232785","relation":{},"ISSN":["2072-4292"],"issn-type":[{"value":"2072-4292","type":"electronic"}],"subject":[],"published":{"date-parts":[[2019,11,26]]}}}