Academic Journal
Surface Water Dynamics from Space: A Round Robin Intercomparison of Using Optical and SAR High-Resolution Satellite Observations for Regional Surface Water Detection
| العنوان: | Surface Water Dynamics from Space: A Round Robin Intercomparison of Using Optical and SAR High-Resolution Satellite Observations for Regional Surface Water Detection |
|---|---|
| المؤلفون: | Tottrup, Christian, Druce, Daniel, Meyer, Rasmus Probst, Christensen, Mads, Riffler, Michael, Dulleck, Bjoern, Rastner, Philipp, Jupova, Katerina, Sokoup, Tomas, Haag, Arjen, Cordeiro, Mauricio C. R., Martinez, Jean-Michel, Franke, Jonas, Schwarz, Maximilian, Vanthof, Victoria, Liu, Suxia, Zhou, Haowei, Marzi, David, Rudiyanto, Rudiyanto, Thompson, Mark, Hiestermann, Jens, Alemohammad, Hamed, Masse, Antoine, Sannier, Christophe, Wangchuk, Sonam, Schumann, Guy, Giustarini, Laura, Hallowes, Jason, Markert, Kel, Paganini, Marc |
| المساهمون: | Géosciences Environnement Toulouse (GET), Institut de Recherche pour le Développement (IRD)-Université Toulouse III - Paul Sabatier (UT3), Université de Toulouse (UT)-Université de Toulouse (UT)-Institut national des sciences de l'Univers (INSU - CNRS)-Observatoire Midi-Pyrénées (OMP), Université de Toulouse (UT)-Université de Toulouse (UT)-Institut national des sciences de l'Univers (INSU - CNRS)-Centre National d'Études Spatiales Toulouse (CNES)-Centre National de la Recherche Scientifique (CNRS)-Météo-France-Institut de Recherche pour le Développement (IRD)-Institut national des sciences de l'Univers (INSU - CNRS)-Centre National d'Études Spatiales Toulouse (CNES)-Centre National de la Recherche Scientifique (CNRS)-Météo-France-Centre National de la Recherche Scientifique (CNRS), Collecte Localisation Satellites (CLS) |
| المصدر: | Remote Sensing ; https://insu.hal.science/insu-04831637 ; Remote Sensing, 2022, 14, ⟨10.3390/rs14102410⟩ |
| بيانات النشر: | CCSD |
| سنة النشر: | 2022 |
| المجموعة: | Université Toulouse III - Paul Sabatier: HAL-UPS |
| مصطلحات موضوعية: | surface water dynamics, SAR and optical data, data fusion, water resource management, Sustainable Development Goal 6, [SDU]Sciences of the Universe [physics] |
| الوصف: | International audience ; Climate change, increasing population and changes in land use are all rapidly driving the need to be able to better understand surface water dynamics. The targets set by the United Nations under Sustainable Development Goal 6 in relation to freshwater ecosystems also make accurate surface water monitoring increasingly vital. However, the last decades have seen a steady decline in in situ hydrological monitoring and the availability of the growing volume of environmental data from free and open satellite systems is increasingly being recognized as an essential tool for largescale monitoring of water resources. The scientific literature holds many promising studies on satellite-based surface-water mapping, but a systematic evaluation has been lacking. Therefore, a round robin exercise was organized to conduct an intercomparison of 14 different satellite-based approaches for monitoring inland surface dynamics with Sentinel-1, Sentinel-2, and Landsat 8 imagery. The objective was to achieve a better understanding of the pros and cons of different sensors and models for surface water detection and monitoring. Results indicate that, while using a single sensor approach (applying either optical or radar satellite data) can provide comprehensive results for very specific localities, a dual sensor approach (combining data from both optical and radar satellites) is the most effective way to undertake largescale national and regional surface water mapping across bioclimatic gradients. |
| نوع الوثيقة: | article in journal/newspaper |
| اللغة: | English |
| Relation: | BIBCODE: 2022RemS.14.2410T |
| DOI: | 10.3390/rs14102410 |
| الاتاحة: | https://insu.hal.science/insu-04831637 https://insu.hal.science/insu-04831637v1/document https://insu.hal.science/insu-04831637v1/file/remotesensing-14-02410-v2.pdf https://doi.org/10.3390/rs14102410 |
| Rights: | http://creativecommons.org/licenses/by/ ; info:eu-repo/semantics/OpenAccess |
| رقم الانضمام: | edsbas.EAD65423 |
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