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Details

Autor(en) / Beteiligte
Titel
Satellite Remote Sensing for Water Resources Management: Potential for Supporting Sustainable Development in Data‐Poor Regions
Ist Teil von
  • Water resources research, 2018-12, Vol.54 (12), p.9724-9758
Ort / Verlag
Washington: Blackwell Publishing Ltd
Erscheinungsjahr
2018
Link zum Volltext
Quelle
Wiley-Blackwell Journals
Beschreibungen/Notizen
  • 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. Key Points Satellite remote sensing is being incorporated into water resources management but is generally underutilized New and proposed missions have the potential to transform water resources management for sustainable development, especially in data‐poor regions Ongoing challenges of accuracy, sampling, and continuity and capacity development need to be addressed, as well as new challenges of information volume and diversity

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