{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,3,27]],"date-time":"2026-03-27T17:12:40Z","timestamp":1774631560950,"version":"3.50.1"},"reference-count":21,"publisher":"MDPI AG","issue":"4","license":[{"start":{"date-parts":[[2025,2,11]],"date-time":"2025-02-11T00:00:00Z","timestamp":1739232000000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/creativecommons.org\/licenses\/by\/4.0\/"}],"funder":[{"name":"Portuguese Foundation for Science and Technology (FCT)","award":["PTDC\/ECI-EGC\/7739\/2020"],"award-info":[{"award-number":["PTDC\/ECI-EGC\/7739\/2020"]}]}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["Remote Sensing"],"abstract":"<jats:p>Efficient reservoir management is essential for ensuring water security and flood control, as well as hydroelectric power generation. Accurate volume measurements are key to optimizing these functions, but traditional methods\u2014such as in situ measurements and physical surveys\u2014are often time-consuming, costly, and unfeasible in many regions due to financial or geographical limitations. This study introduces a novel globally accessible remote sensing tool designed to overcome these challenges by providing a more effective approach to reservoir volume estimation. The tool leverages high-resolution satellite imagery from Sentinel-2 and integrates it with official storage capacity data and the GLOBAthy dataset to calculate surface area and reservoir volume across varying water levels over user-defined timeframes. Users can select reservoirs, date ranges, and cloud cover thresholds via an intuitive interface, which then generates time-series data of reservoir volumes. The tool employs machine learning algorithms to improve the precision of water surface delineation and volume calculations, accounting for complex environmental factors like cloud cover and built structures such as bridges. This remote sensing tool was tested on reservoirs of varying sizes and topographies in Portugal and California, USA, demonstrating a high accuracy with a Mean Absolute Percentage Error (MAPE) of 5.35% and a correlation coefficient (R2) of 0.90 when compared to official records. By offering a cost-effective, scalable, totally remote, and timely solution, the tool enables improved reservoir monitoring, particularly in remote or otherwise inaccessible areas. Ultimately, this research contributes to global water resources management, enhancing the sustainability and resilience of reservoir operations around the world.<\/jats:p>","DOI":"10.3390\/rs17040619","type":"journal-article","created":{"date-parts":[[2025,2,12]],"date-time":"2025-02-12T08:05:42Z","timestamp":1739347542000},"page":"619","update-policy":"https:\/\/doi.org\/10.3390\/mdpi_crossmark_policy","source":"Crossref","is-referenced-by-count":6,"title":["Remote Sensing Tool for Reservoir Volume Estimation"],"prefix":"10.3390","volume":"17","author":[{"given":"Jo\u00e3o","family":"Pimenta","sequence":"first","affiliation":[{"name":"National Laboratory for Civil Engineering (LNEC), 1700-066 Lisbon, Portugal"}]},{"ORCID":"https:\/\/orcid.org\/0000-0003-0337-7084","authenticated-orcid":false,"given":"Jo\u00e3o Nuno","family":"Fernandes","sequence":"additional","affiliation":[{"name":"National Laboratory for Civil Engineering (LNEC), 1700-066 Lisbon, Portugal"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-3175-7773","authenticated-orcid":false,"given":"Alberto","family":"Azevedo","sequence":"additional","affiliation":[{"name":"National Laboratory for Civil Engineering (LNEC), 1700-066 Lisbon, Portugal"}]}],"member":"1968","published-online":{"date-parts":[[2025,2,11]]},"reference":[{"key":"ref_1","doi-asserted-by":"crossref","first-page":"215","DOI":"10.1038\/s41586-019-1111-9","article-title":"Mapping the world\u2019s free-flowing rivers","volume":"569","author":"Grill","year":"2019","journal-title":"Nature"},{"key":"ref_2","unstructured":"(2024, December 16). United Nations, The United Nations World Water Development Report 2024: Water for Prosperity and Peace. UNESCO, Paris. Available online: https:\/\/www.unwater.org\/publications\/un-world-water-development-report-2024."},{"key":"ref_3","doi-asserted-by":"crossref","first-page":"48","DOI":"10.1016\/j.jher.2023.10.002","article-title":"Long-term analysis of sediment load changes in the Red River system (Vietnam) due to dam-reservoirs","volume":"51","author":"Quang","year":"2023","journal-title":"J. Hydro-Environ. Res."},{"key":"ref_4","doi-asserted-by":"crossref","first-page":"7659","DOI":"10.1007\/s10661-013-3126-2","article-title":"Evaluation of the impacts of road runoff in a Mediterranean reservoir in Portugal","volume":"185","author":"Vieira","year":"2013","journal-title":"Environ. Monit. Assess."},{"key":"ref_5","doi-asserted-by":"crossref","first-page":"168985","DOI":"10.1016\/j.scitotenv.2023.168985","article-title":"Long-term water level dynamics in the Red River basin in response to anthropogenic activities and climate change","volume":"912","author":"Quang","year":"2023","journal-title":"Sci. Total Environ."},{"key":"ref_6","doi-asserted-by":"crossref","unstructured":"Sismani, G., Pisinaras, V., and Arampatzis, G. (2024). Water Governance for Climate-Resilient Agriculture in Mediterranean Countries. Water, 16.","DOI":"10.3390\/w16081103"},{"key":"ref_7","doi-asserted-by":"crossref","unstructured":"Daus, M., Koberger, K., Koca, K., Beckers, F., Encinas Fern\u00e1ndez, J., Weisbrod, B., Dietrich, D., Gerbersdorf, S.U., Glaser, R., and Haun, S. (2021). Interdisciplinary Reservoir Management\u2014A Tool for Sustainable Water Resources Management. Sustainability, 13.","DOI":"10.3390\/su13084498"},{"key":"ref_8","doi-asserted-by":"crossref","unstructured":"Pham-Duc, B., Frappart, F., Tran-Anh, Q., Si, S.T., Phan, H., Quoc, S.N., Le, A.P., and Viet, B.D. (2022). Monitoring Lake Volume Variation from Space Using Satellite Observations\u2014A Case Study in Thac Mo Reservoir (Vietnam). Remote Sens., 14.","DOI":"10.3390\/rs14164023"},{"key":"ref_9","doi-asserted-by":"crossref","unstructured":"Lee, Y.-K., Hong, S.-H., and Kim, S.-W. (2021). Monitoring of Water Level Change in a Dam from High-Resolution SAR Data. Remote Sens., 13.","DOI":"10.3390\/rs13183641"},{"key":"ref_10","doi-asserted-by":"crossref","first-page":"e2021WR030026","DOI":"10.1029\/2021WR030026","article-title":"Monitoring the Storage Volume of Water Reservoirs Using Google Earth Engine","volume":"58","author":"Nascimento","year":"2022","journal-title":"Water Resour. Res."},{"key":"ref_11","doi-asserted-by":"crossref","first-page":"100542","DOI":"10.1016\/j.rineng.2022.100542","article-title":"Monitoring of dam reservoir storage with multiple satellite sensors and artificial intelligence","volume":"15","author":"Sorkhabi","year":"2022","journal-title":"Results Eng."},{"key":"ref_12","doi-asserted-by":"crossref","first-page":"W09504","DOI":"10.1029\/2012WR012063","article-title":"Global monitoring of large reservoir storage from satellite remote sensing","volume":"48","author":"Gao","year":"2012","journal-title":"Water Resour. Res."},{"key":"ref_13","unstructured":"(2024, December 16). Sentinel-2 Operations. Available online: https:\/\/www.esa.int\/Enabling_Support\/Operations\/Sentinel-2_operations."},{"key":"ref_14","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. Remote Sens."},{"key":"ref_15","doi-asserted-by":"crossref","first-page":"3025","DOI":"10.1080\/01431160600589179","article-title":"Modification of normalized difference water index (NDWI) to enhance open water features in remotely sensed imagery","volume":"27","author":"Xu","year":"2006","journal-title":"Int. J. Remote Sens."},{"key":"ref_16","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":"Remote Sens. Environ."},{"key":"ref_17","doi-asserted-by":"crossref","first-page":"13603","DOI":"10.1038\/ncomms13603","article-title":"Estimating the volume and age of water stored in global lakes using a geo-statistical approach","volume":"7","author":"Messager","year":"2016","journal-title":"Nat. Commun."},{"key":"ref_18","doi-asserted-by":"crossref","first-page":"283","DOI":"10.1038\/s41597-019-0300-6","article-title":"Global hydro-environmental sub-basin and river reach characteristics at high spatial resolution","volume":"6","author":"Linke","year":"2019","journal-title":"Sci. Data"},{"key":"ref_19","unstructured":"Sentinel-2 Cloud Masking with s2cloudless|Google Earth Engine (2024, December 16). Google for Developers. Available online: https:\/\/developers.google.com\/earth-engine\/tutorials\/community\/sentinel-2-s2cloudless."},{"key":"ref_20","doi-asserted-by":"crossref","first-page":"494","DOI":"10.1890\/100125","article-title":"High-resolution mapping of the world\u2019s reservoirs and dams for sustainable river-flow management","volume":"9","author":"Lehner","year":"2011","journal-title":"Front. Ecol. Environ."},{"key":"ref_21","doi-asserted-by":"crossref","first-page":"36","DOI":"10.1038\/s41597-022-01132-9","article-title":"GLOBathy, the global lakes bathymetry dataset","volume":"9","author":"Khazaei","year":"2022","journal-title":"Sci. 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