Health facilities in Ethiopia (clinics, health centres, hospitals).

An ArcGIS Hub site used by government agencies to share progress made on SDG goals with the public and interested stakeholders.

Kebele of mapped regions Gamo, Gedeo and Sidama within the CGS soil survey and mapping project.

Many maps provide details of land classification types such as grassland, scrub, or tree cover. However, the total amount of biomass in these areas can vary greatly. Better mapping of the canopy height is important for understanding potential biodiversity, ecosystem function, or loss of carbon biomass due to deforestation, development, or fires. Scientists at ETH Zurich created a method to estimate canopy height using the best available LiDAR from space and airborne sensors, including the Global Ecosystem Dynamics Investigation (GEDI) on board the International Space Station. These LiDAR observations were used as ground truth data to train a deep convolutional neural network to regress canopy height from Sentinel-​2 images at a 10-m spatial resolution. Units are in meters. The accuracy of the vegetation height is ± 5 m.This map was financed in a partnership with Barry Callebaut AG, the world's largest chocolate maker, to better allow companies to track deforestation in their supply chains. The intent is objective, highly automated tool to guide sustainable agribusiness. More about this project may be read at ETH Zurich website here.

Ethiopia - Livelihood Zones

Ethiopia administrative level 0-3 sex and age disaggregated projected 2022 population statistics.

REFERENCE YEAR: 2022

These tables are suitable for database or GIS linkage to the Ethiopia - Subnational Administrative Boundaries.

Health facilities in Ethiopia (clinics, health centres, hospitals).

This web map is a subset of the Global Canopy Height 2020 Image Service. Many maps provide details of land classification types such as grassland, scrub, or tree cover. However, the total amount of biomass in these areas can vary greatly. Better mapping of the canopy height is important for understanding potential biodiversity, ecosystem function, or loss of carbon biomass due to deforestation, development, or fires. Scientists at ETH Zurich created a method to estimate canopy height using the best available LiDAR from space and airborne sensors, including the Global Ecosystem Dynamics Investigation (GEDI) on board the International Space Station.These LiDAR observations were used as ground truth data to train a deep convolutional neural network to regress canopy height from Sentinel-​2 images at a 10 m spatial resolution. The accuracy of the vegetation height is ± 5 m.This map was financed in a partnership with Barry Callebaut AG, the world's largest chocolate maker, to better allow companies to track deforestation in their supply chains. The intent is objective, highly automated tool to guide sustainable agribusiness.More about this project may be read at ETH Zurich website here: https://prs.igp.ethz.ch/research/current_projects/automated_large-scale_high_carbon_stock.html

This ethnicity dataset (GREG) is a digital version of the paper Soviet Narodov Mira atlas created in 1964. In 2010 the GREG (Geo-referencing of ethnic groups) project, used maps and data drawn from the Narodov Mira atlas to create a GIS (Geographic Information Systems) version of the atlas (2010). ETH ZurichFirst developed by G.P. Murdock in the 1940s, is an ethnographic classification system on human behavior, social life and customs, material culture, and human-ecological environments (2003). University of California

Shapefile of ethnic groups in Ukraine published on June 8, 2021 by ETH Zurich