Land use (Jordan River Basin - Annual - 100m)
About this dataset
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✦ Suggested by OrionAIThe land use (LU) map based on Water Accounting Plus land use classification is produced based on WaPOR land cover class and protected areas from the World Database on Protected Areas. Please read the Land Cover Classification (Africa and Near East - Annual - 100m) metadata for more information on the data source. **Data publication:** 2020-01-01 **Supplemental Information:** No data value: -9999 **Citation:** FAO 2018. WaPOR Database Methodology: Level 2. Remote Sensing for Water Productivity Technical Report: Methodology Series. Rome, FAO. 72 pages. Licence: CC-BY-4.0 **Contact points:** Resource Contact: [Solomon Seyoum](mailto:s.seyoum@un-ihe.org) Metadata Contact: [Solomon Seyoum](mailto:s.seyoum@un-ihe.org) **Data lineage:** Read the Land Cover Classification (Africa and Near East - Annual - 100m) metadata for more information on the data source. **Resource constraints:** Creative Commons Attribution 4.0 International (CC-BY-4.0) **Online resources:** Download the data from Google Cloud Storage
The land use (LU) map based on Water Accounting Plus land use classification is produced based on WaPOR land cover class and protected areas from the World Database on Protected Areas. Please read the Land Cover Classification (Africa and Near East - Annual - 100m) metadata for more information on the data source. **Data publication:** 2020-06-01 **Supplemental Information:** No data value: -9999 **Contact points:** Metadata Contact: [Solomon Seyoum](mailto:s.seyoum@un-ihe.org) **Data lineage:** Read the Land Cover Classification (Africa and Near East - Annual - 100m) metadata for more information on the data source. **Resource constraints:** Creative Commons Attribution 4.0 International (CC-BY-4.0) **Online resources:** Download the data from Google Cloud Storage
The land use (LU) map based on Water Accounting Plus land use classification is produced based on WaPOR land cover class and protected areas from the World Database on Protected Areas. Please read the Land Cover Classification (Africa and Near East - Annual - 100m) metadata for more information on the data source. **Data publication:** 2020-01-01 **Citation:** FAO 2018. WaPOR Database Methodology: Level 2. Remote Sensing for Water Productivity Technical Report: Methodology Series. Rome, FAO. 72 pages. Licence: CC BY-NC-SA 3.0 IGO
Number of rainy days calculated in the Jordan River Basin area. For every pixel, the number of rainy days in a month is reported. This dataset is created by using daily rainfall data from WaPOR precipitation data. **Data publication:** 2020-06-01 **Supplemental Information:** No data value: -9999 Unit: mm **Citation:** FAO 2018. WaPOR Database Methodology: Level 3. Remote Sensing for Water Productivity Technical Report: Methodology Series. Rome, FAO. 72 pages. Licence: CC-BY-4.0 **Contact points:** Metadata Contact: [Solomon Seyoum](mailto:s.seyoum@un-ihe.org) Resource Contact: [WaPOR](mailto:wapor@fao.org) **Resource constraints:** Creative Commons Attribution 4.0 International (CC-BY-4.0) **Online resources:** Download the data from Google Cloud Storage
The land use map based on Water Accounting Plus land use classification is produced based on WaPOR land cover class and protected areas from the World Database on Protected Areas and reservoirs from GRaND. **Data publication:** 2023-01-25 **Supplemental Information:** No data value: -9999 **Contact points:** Metadata Contact: [FAO-Data](mailto:fao-data@fao.org) Resource Contact: [Solomon Seyoum](mailto:s.seyoum@un-ihe.org) **Resource constraints:** Creative Commons Attribution 4.0 International (CC-BY-4.0) **Online resources:** Download the data from Google Cloud Storage
Precipitation minus actual evapotranspiration (P-ET) calculated over the Jordan River Basin area. The P-ET is the difference between WaPOR precipitation (based on CHIRPS) and the actual evapotranspiration and interception. **Data publication:** 2020-06-01 **Supplemental Information:** No data value: -9999 Unit: mm Conversion factor: the pixel value in the downloaded data must be multiplied by 0.1 New dekadal data layers are released approximately 5 days after the end of a dekad. A higher quality version of the same data layer is uploaded after 6 dekads have passed. This final version of the dekadal dataset has a higher quality because gap filling and interpolation processes, where needed, have been based on more data observations. This implies that other temporal aggregations (monthly, seasonal, annual), and layers that depend on those, are updated as well. Practically this means that a final annual aggregation of the most recent full calendar year can only be produced after the end of February. Likewise, the final monthly aggregation of the most recent calendar months can only be produced 2 full months later. **Citation:** FAO 2018. WaPOR Database Methodology: Level 3. Remote Sensing for Water Productivity Technical Report: Methodology Series. Rome, FAO. 72 pages. Licence: CC-BY-4.0 **Contact points:** Metadata Contact: [Solomon Seyoum](mailto:s.seyoum@un-ihe.org) Resource Contact: [WaPOR](mailto:wapor@fao.org) **Resource constraints:** Creative Commons Attribution 4.0 International (CC-BY-4.0) **Online resources:** Download the data from Google Cloud Storage
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