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Publications using CGLOPS LSWT product
2026
Pantoja DA, Gasca-Ortiz T (2026) Towards numerical modeling of surface water temperature in a tropical lake in central-western Mexico: atmospheric forcing, validation, and verification through satellite-based observations. Inland Waters, 16(1):2556616. https://doi.org/10.1080/20442041.2025.2556616
Muradyan V, Hovsepyan A, Avetisyan R, Khlghatyan A, Baghdasaryan A, Kudryashev T, Avetisyan A, Medvedev A, Asmaryan S (2026) Spatial and temporal analysis of Copernicus Global Land Service data-based surface water temperature of Lake Sevan and its relationship with selected climatic variables over the period 2017–2023. ase Studies in the Environment, 10(1):2875836. https://doi.org/10.1525/cse.2026.2875836
2025
Schultze A, Berggren M, Duan Z (2025) Development of a new spatially complete and daily continuous lake surface water temperature dataset for Lake V채nern by fusing satellite and reanalysis products. Journal of Hydrology: Regional Studies, 59:102437. https://doi.org/10.1016/j.ejrh.2025.102437
2024
Maligaya VH, Baltodano A, Agramont A, van Griensven A (2024) Exploring trends and variability of water quality over Lake Titicaca using global remote sensing products. Remote Sensing, 16(10):4785. https://doi.org/10.3390/rs16244785
2021
Zhang R, Chan S, Bindlish R, Lakshmi V (2021) Evaluation of global surface water temperature data sets for use in passive remote sensing of soil moisture. Remote Sensing, 13(10):1872. https://doi.org/10.3390/rs13101872
Kulk G, George G, Abdulaziz A, Menon N, Theenathayalan V, Jayaram C, Brewin RJW, Sathyendranath S (2021) Effect of reduced anthropogenic activities on water quality in Lake Vembanad, India. Remote Sensing, 13(9):1631. https://doi.org/10.3390/rs13091631
Anas A, Krishna K, Vijayakumar S, George G, Menon N, Kulk G, Chekidhenkuzhiyil J, Ciambelli A, Kuttiyilmemuriyil Vikraman H, Tharakan B, Koovapurath Useph AJ, Goult E, Vengalil J, Platt T, Sathyendranath S (2021) Dynamics of vibrio cholerae in a typical tropical lake and estuarine system: Potential of remote sensing for risk mapping. Remote Sensing, 13(5):103. https://doi.org/10.3390/rs13051034