4.7 Article

Surface Water Dynamics from Space: A Round Robin Intercomparison of Using Optical and SAR High-Resolution Satellite Observations for Regional Surface Water Detection

期刊

REMOTE SENSING
卷 14, 期 10, 页码 -

出版社

MDPI
DOI: 10.3390/rs14102410

关键词

surface water dynamics; SAR and optical data; data fusion; water resource management; Sustainable Development Goal 6

资金

  1. European Space Agency (ESA) under the EO Science for Society programmatic element of the 5th Earth Observation Envelope Programme [EOEP-5]
  2. National Key Research and Development Program of China [2018YFE0106500]

向作者/读者索取更多资源

Climate change, increasing population, and changes in land use have driven the need for better understanding of surface water dynamics. The availability of environmental data from satellite systems is recognized as an essential tool for water resource monitoring. This study compared 14 different satellite-based approaches and found that a dual sensor approach combining optical and radar satellites is the most effective for large-scale surface water mapping.
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.

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