Water Resources Research · 2018 · 541 citations · 159 references
Natural ResourcesHydrologyWater Resources ManagementHydrometeorologyRemote SensingWater Resource ManagementRemote Sensing For Resource AssessmentRemote Sensing ImagerySatellite HydrometeorologySatellite SensorsWater ManagementWater Resource MonitoringHydrological MappingIn-situ MonitoringMonitoring NetworksRemote Sensing For Resource MonitoringRemote Sensing In HydrologyRemote Sensing-based AssessmentSatellite Remote Sensing DataWater Resource Mapping
Abstract Water resources management (WRM) for sustainable development presents many challenges in areas with sparse in situ monitoring networks. The exponential growth of satellite based information over the past decade provides unprecedented opportunities to support and improve WRM. Furthermore, traditional barriers to the access and usage of satellite data are lowering as technological innovations provide opportunities to manage and deliver this wealth of information to a wider audience. We review data needs for WRM and the role that satellite remote sensing can play to fill gaps and enhance WRM, focusing on the Latin American and Caribbean as an example of a region with potential to further develop its resources and mitigate the impacts of hydrological hazards. We review the state‐of‐the‐art for relevant variables, current satellite missions, and products, how they are being used currently by national agencies across the Latin American and Caribbean region, and the challenges to improving their utility. We discuss the potential of recently launched, upcoming, and proposed missions that are likely to further enhance and transform assessment and monitoring of water resources. Ongoing challenges of accuracy, sampling, and continuity still need to be addressed, and further challenges related to the massive amounts of new data need to be overcome to best leverage the utility of satellite based information for improving WRM.
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Overview of the radiometric and biophysical performance of the MODIS vegetation indices
Alfredo Huete, Kamel Didan, Tomoaki Miura et al. · Remote Sensing of Environment · 2002 · 9.6K citations
Agriculture, Ecology, Geography +14