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Book (stand-alone)Guidance on spatial technologies for disaster risk management in aquaculture
Full document
2018Also available in:
No results found.This new guide describes the application of spatial technology to improve disaster risk management (DRM) within the aquaculture sector. DRM requires interrelated actions and activities to ensure early warning, prevention, preparedness, response and recovery for a wide range of natural, technological and complex disasters that can impact aquaculture operations and livelihoods. Spatial technology refers to systems and tools that acquire, manage and analyse data that have geographic context. Some of the technologies include satellite remote sensing, aerial surveys, global positioning systems, geographic information systems, information and communication technology and other data gathering sensors used, for instance, in meteorology. Spatial technology supports activities across all phases of the DRM cycle and its rapid development provides enhanced opportunities to support DRM within the aquaculture sector. This guide is organized in two parts. Part one is the “guidance”; it is the main body of the document and describes the processes and steps for the use of spatial technology within DRM for aquaculture. Part two includes selected country case studies from Bangladesh, the Gulf of Mexico and the Caribbean, and Indonesia to illustrate the application of spatial technology in DRM for aquaculture at the national level within local contexts. Best practices at the farm and area management levels, supported by spatial technology, reduce volatility and risks and thus facilitate investment. Countries that would like aquaculture to grow sustainably and reliably are encouraged to use this guide in order to support spatial planning approaches and protect responsible investors. A separate summary version accompanies this publication. -
Brochure, flyer, fact-sheetSenegal: Efficient use of water in agriculture, water productivity using satellite data
KnoWat: Knowing water better - Towards a more equitable and sustainable access to natural resources to achieve food security
2022Also available in:
The KnoWat project created a geospatial database based on remote sensing data gathered through the Food and Agriculture Organization of the United Nation’s WaPOR (WAter Productivity through Open-access of Remotely-sensed derived data) tool. The database was used to assess agricultural water consumption and water productivity by interpreting satellite images in the Senegal River Basin. -
Book (stand-alone)WaPOR quality assessment
Technical report on the data quality of the WaPOR FAO database version 1.0
2019Also available in:
No results found.This report describes the quality assessment of the FAO’s data portal to monitor Water Productivity through Open access of Remotely sensed derived data (WaPOR 1.0). The WaPOR 1.0 data portal has been prepared as a major output of the project: ´Using Remote Sensing in support of solutions to reduce agricultural water productivity gaps’, funded by the Government of The Netherlands. The WaPOR database is a comprehensive database that provides information on biomass production (for food production) and evapotranspiration (for water consumption) for Africa and the Near East in near real time covering the period 1 January 2009 to date. This report is the result of an independent quality assessment of the different datasets available in WaPOR prepared by IHE-Delft. The quality assessment checks the consistency of the different layers and compares the individual layers to various other independent data sources, including: spatial data; auxiliary data and in-situ data. The report describes the results of the quality assessment per data layer for each specific theme as available on the FAO WaPOR portal.
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