Land use (Nile River Basin - Annual - 100m)

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

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 **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:** Metadata Contact: [Solomon Seyoum](mailto:s.seyoum@un-ihe.org) Resource 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

Number of rainy days calculated in the Nile 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:** Resource Contact: [WaPOR](mailto:wapor@fao.org) Metadata 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

This land cover dataset at continental scale is based on the Copernicus Global Land cover map. WaPOR data adds, on top of the Copernicus map, the distinction between irrigated and rainfed areas. It is published on a yearly basis. The data is provided from January 2009 to 2021. **Data publication:** 2020-01-01 **Supplemental Information:** No data value: 255 Unit : class Scale Factor : 1.0 Map code : L1-LCC-A **Citation:** FAO 2018. WaPOR Database Methodology: Level 1. Remote Sensing for Water Productivity Technical Report: Methodology Series. Rome, FAO. 72 pages. Licence: CC BY 4.0 IGO **Contact points:** Metadata Contact: [WaPOR](mailto:wapor@fao.org) Resource Contact: [WaPOR](mailto:wapor@fao.org) **Data lineage:** Land Cover Classification makes use of the dekadal reflectance time series and seasonal phenology information from the Crop Calendar. The Level 1 land cover products were derived from the Global Land Service of Copernicus, the Earth Observation programme of the European Commission. In addition, irrigated areas are identified by applying a water deficit index that takes into consideration seasonal cumulated values of precipitation and actual evapotranspiration. The classification applied is based on the Land Cover Classification System (LCCS) that was developed by FAO. Data component developed through collaboration with the FRAME Consortium. More information can be found at: http://www.fao.org/in-action/remote-sensing-for-water-productivity/en/ **Class - Caption** 0 - n.a. 20 - Shrubland 30 - Grassland 20 - Shrubland 30 - Grassland 41 - Cropland, rainfed 42 - Cropland, irrigated or under water management 43 - Cropland, fallow 50 - Built-up 60 - Bare / sparse vegetation 70 - Permament snow / ice 80 - Water bodies 81 - Temporary water bodies 90 - Shrub or herbaceous cover, flooded 111 - Tree cover: closed, evergreen needle-leaved 112 - Tree cover: closed, evergreen broadleaved 114 - Tree cover: closed, deciduous broadleaved 115 - Tree cover: closed, mixed type 116 - Tree cover: closed, unknown type 121 - Tree cover: open, evergreen needle-leaved 122 - Tree cover: open, evergreen broadleaved 123 - Tree cover: open, deciduous needle-leaved 124 - Tree cover: open, deciduous broadleaved 125 - Tree cover: open, mixed type 126 - Tree cover: open, unknown type 200 - Sea water 255 - no data **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