This map highlights 8962 stations with monthly discharge data, including data derived daily up to 20 December 2013. The GRDB (Global Runoff DataBase) is built on an initial dataset collected in the early 1980s from the responses to WMO (World Meteorological Organization request to its member countries to provide a global hydrological data set to complement a specific set of atmospheric data in the framework of the First Global GARP Experiment (FCGE). The initial dataset of monthly river discharge data over a period of several years around 1980 was supplemented with the UNESCO monthly river discharge data collection 1965-85. Today the database comprises discharge data of nearly 9.000 gauging stations from all over the world. Since 1993 the total number of station-years has increased by a factor of around 10.Credits and partnerships:OSU - College of Earth, Ocean and Atmospheric SciencesCarniege Corporation of New YGloabl orkNASCE - Northwest Alliance for Computational Science & EngineeringInternational Water Management InstituteUNESCO - United Nations Educational, Scientific and Cultural OrganisationUSGS - United States Geological Survey

Imagery map layers of the city of Doha, Qatar containing basemap imagery from January 2016 to January 2022 & a current November 2022 image. Change maps also included between these dates. Imagery from Sentinel 2 Satellites & pulled from Google Earth Engine. These data were created for a remote sensing project at the University of Minnesota.

Qatar administrative level 0-2 boundaries and gazetteer

These administrative level 0-1 layers are suitable for database or GIS linkage to the Qatar - Subnational Population Statistics tables using the ADM0 and ADM1_PCODE fields.

Vetting and live service provision by Information Technology Outreach Services (ITOS) with funding from USAID.

Population Density By Municipality 2010_ 2020

Qatar administrative level 0-3 boundaries (COD-AB) dataset.

The date that these administrative boundaries were established is unknown.

This COD-AB was most recently reviewed for accuracy and necessary changes in April 2024. The COD-AB does not require any update.

Sourced from Qatar planning and statistics authority

Vetting by Information Technology Outreach Services (ITOS) with funding from USAID.

This COD-AB is suitable for database or GIS linkage to the Qatar COD-PS.

An edge-matched (COD-EM) version of this COD-AB is available on HDX here.

Please see the COD Portal.

Administrative level 1 contains 8 feature(s). The normal administrative level 1 feature type is ""Municipality"".

Administrative level 2 contains 91 feature(s). The normal administrative level 2 feature type is ""Zone"".

Administrative level 3 contains 781 feature(s). The normal administrative level 3 feature type is ""District"".

Recommended cartographic projection: Asia South Albers Equal Area Conic

This metadata was last updated on January 9, 2025.

Indicator: 15.3.1 Proportion of land that is degraded over total land areaThe equation used to calculate the results is:Land Degradation data used here is based on two approaches used as guidelines for the assessment of land degradation and adapted to the specific requirement found in Qatar:1. Land Degradation in Dryland Assessment (LADA) edited by FAO.2. World Overview of Conservation Approaches and Technologies (WOCAT), edited by WOCAT Management Group.Note : The total land area of Qatar = 11627.03045 sq km.Data Source:This Land Degradation data was part of a project undertaken by Qatar's then Ministry of Municipal Affairs and Agriculture (MMAA), General Directorate of Agricultural Research and Development, Department of Agricultural and Water Research (DAWR) Soil Research Section. It was called "The Atlas of Soils for the State of Qatar- Soil Classification and Land Use specification Project for the State of Qatar" in 2005. The settlement and farm areas have been updated based on the latest satellite and orthoimages available online for the State of Qatar as provided by the Centre for GIS (CGIS) of MME.CGIS - Ministry of Municipality and Environment.

Indicator: 15.1.1Forest area as a proportion of the total land area.The equation used to calculate the results is:Percentage of the forest area of total land area = Forest area (reference year) / Land area (Qatar) * 100Note : The forest definition has been changed to mangrove areas. The total land area of Qatar = 11627.03045 sq km.Data Source:CGIS - Planning And Statistic Authority.

Feature Service generated from running the Create Drive Times solution.

Indicator: 15.1.1Forest area as a proportion of the total land area.The equation used to calculate the results is:Percentage of the forest area of total land area = Forest area (reference year) / Land area (Qatar) * 100Note : The forest definition has been changed to mangrove areas. The total land area of Qatar = 11627.03045 sq km.Data Source:CGIS - Planning And Statistic Authority.