![\"Image\"](\"https://firebasestorage.googleapis.com/v0/b/fao-aquastat.appspot.com/o/Images%2Fe-learning%2Fwapor_webinar_24062020.jpg?alt=media&token=2aaa59b1-4126-4a35-968b-005f1a82a7e9\")
Monitoring water productivity in agriculture using FAO WaPOR
\ncategory: Webinar
\n
This webinar organized by FAO for the staff of the Ministry of Foreign Affairs of the Government of The Netherlands, presented how WaPOR, FAO’s portal to monitor Water Productivity through Open-access of Remotely sensed derived data, allows to calculate and distribute key data for monitoring and understanding water use in agriculture, providing governments with reliable information to support decisions and targeted interventions on more efficient use of water.
\nPublication date: June 2020
\nAQUASTAT: Accounting water for the SDG 6.4 indicators
\ncategory: Webinar
\n![\"Image\"](\"https://firebasestorage.googleapis.com/v0/b/fao-aquastat.appspot.com/o/Images%2Fe-learning%2Faquastat-sdg6.4-webinar.jpg?alt=media&token=a0cef821-7080-44d2-949d-38a12eed65fe\")
Virginie Gillet, Land and Water Office in FAO Headquarters, presents the AQUASTAT Programme, including the available data and the updated methodology. The annual questionnaire on water and agriculture is also detailed as part of the data collection through the recently established AQUASTAT National Correspondents network. The webinar was recorded as part of a series on Water Accounting organized by the FAO Near East and North Africa Regional Office.
\nPublication date: August 2019
\nSDG Indicator 6.4.1 - Change in water-use efficiency over time
\ncategory: E-learning course
\n![\"Image\"](\"https://firebasestorage.googleapis.com/v0/b/fao-aquastat.appspot.com/o/Images%2Fe-learning%2Fsdg6.4.1.jpg?alt=media&token=0b51641f-0967-4f3b-b496-8f09f14fb36f\")
This course provides guidance on the rationale and the main characteristics of Indicator 6.4.1, and on how to compute the two dimensions constituting the indicator: the hydrologic and the economic component. It also highlights possible challenges related to data availability, and the impact that monitoring results may have on national decision-making and identification of development policies.
\nPublication date: August 2019
\nUsing WaPOR to boost water productivity
\ncategory: Webinar
\n![\"Image\"](\"https://firebasestorage.googleapis.com/v0/b/fao-aquastat.appspot.com/o/Images%2Fe-learning%2Fwapor-to-boost-water-productivity.jpg?alt=media&token=55effe2a-7518-4c53-959c-bd04bc1e6818\")
In this webinar, Simon Chevalking (MetaMeta), Jonna van Opstal (Future Water), and Abebe Demissie Chukalla (IHE Delft) demonstrate how to use WaPOR to obtain data remotely sensed derived data like Gross/Net Biomass Water Productivity, Evapotranspiration, Land Cover, Precipitation, Land Surface Temperature, and Normalized Difference Vegetation Index (NDVI), to monitor agricultural land and water productivity. At continental (250m), national (100 m) or sub-national (30 m ) levels they explain how to interpret and model such data showcase practical application of WaPOR at the field level.
\nThe webinar is hosted by the Water Channel
\nIntroduction to WaPOR in Arabic
\ncategory: E-learning course
\n![\"Image\"](\"https://firebasestorage.googleapis.com/v0/b/fao-aquastat.appspot.com/o/Images%2Fe-learning%2Ftutorial_wapor_ar.jpg?alt=media&token=0902552a-274d-49bb-b1fe-b60f793d7fcd\")
This tutorial provides an overview of the FAO Open Access Database on Water Productivity (WaPOR v.2), which is developed to assist countries in monitoring water productivity using remote sensing derived data, and to contribute to a sustainable increase of agricultural production.
\nPublication date: 2019
\nSDG Indicator 6.4.2 - Level of water stress
\nEnglish | French | Spanish | Russian |
\ncategory: E-learning course
\n![\"Image\"](\"https://firebasestorage.googleapis.com/v0/b/fao-aquastat.appspot.com/o/Images%2Fe-learning%2Fsdg6.4.2.jpg?alt=media&token=1f8b6b5c-adae-4398-b432-7b74f07424e0\")
This course provides tools, methods and processes to support countries in monitoring and reporting on SDG Indicator 6.4.2 \"Level of water stress: freshwater withdrawal in percentage of available freshwater resources\".
\nPublication date: 2018
\ncategory: E-learning courses and Webinars
\n![\"Image\"](\"https://firebasestorage.googleapis.com/v0/b/fao-aquastat.appspot.com/o/Images%2Fe-learning%2Fwapor_tutorials_from2017.jpg?alt=media&token=bd7f1417-c73c-4dae-b1b8-55a2c598d908\")
Watch the series of tutorials on WaPOR, FAO’s portal to monitor Water Productivity through Open-access of Remotely sensed derived data.
\nPublication date: from May 2017
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