The point cloud and raster DEM were generated from Pleiades stereo panchromatic optical images with 50 cm resolution. The data were processed using the Leica Photogrammetry Suite within ERDAS Imagine.

The point cloud and raster DEM were generated from Pleiades stereo panchromatic optical images with 50 cm resolution. The data were processed using the Leica Photogrammetry Suite within ERDAS Imagine.

Lidar data were acquired by the UK Natural Environmental Research Council’s Airborne Research and Survey Facility (NERC ARSF) in October 2009. From this data, a DEM of 0.5 m pixel resolution was generated by Barnie et al. (2016); full details of processing are provided in Hofmann (2013). This is Part 2 of the raster DEM covering the southern half of the total area.

Lidar data were acquired by the UK Natural Environmental Research Council’s Airborne Research and Survey Facility (NERC ARSF) in November 2012. From this data, a DEM of 2 m resolution was generated using GRASS (Geographic Resources Analysis Support System; http://grass.osgeo.org/) as described in Hutchison et al. (2015).

The raster DEM was generated from a point cloud, also uploaded to available from OpenTopography. This point cloud was generated from Pleiades stereo panchromatic optical images with 50 cm resolution. The data were processed using the Leica Photogrammetry Suite within ERDAS Imagine.

The image shows the elevation for Ethiopia as provided by the SRTM DEM in metres.

2012 Aluto LiDAR data LiDAR data from an airborne survey of Aluto volcano, Ethiopia. Data were collected during a NERC ARSF flight campaign ET12-17-321.

Shapefiles for Ethiopia's Administrative boundaries: Regions, Zones and Woredas

This dataset contains 204 ascending and 300 descending Sentinel-1 geocoded unwrapped interferograms and coherence, and 70 ascending and 102 descending Re-sampled Single Look Complex (RSLC) images for each acquisition date. This data set also includes the original size Digital Elevation Model (DEM) used during InSAR processing. Data used by: Moore et al, 2019, “The 2017 Eruption of Erta 'Ale Volcano, Ethiopia: Insights into the Shallow Axial Plumbing System of an Incipient Mid-Ocean Ridge”.

Summary of the malaria risk level along the variables.

Standardized value assigned for physical factors of malaria risk level.

Mineral resource occurrence data covering the world, most thoroughly within the U.S. This database contains the records previously provided in the Mineral Resource Data System (MRDS) of USGS and the Mineral Availability System/Mineral Industry Locator System (MAS/MILS) originated in the U.S. Bureau of Mines, which is now part of USGS. The MRDS is a large and complex relational database developed over several decades by hundreds of researchers and reporters. While database records describe mineral resources worldwide, the compilation of information was intended to cover the United States completely, and its coverage of resources in other countries is incomplete. The content of MRDS records was drawn from reports previously published or made available to USGS researchers. Some of those original source materials are no longer available. The information contained in MRDS was intended to reflect the reports used as sources and is current only as of the date of those source reports. Consequently MRDS does not reflect up-to-date changes to the operating status of mines, ownership, land status, production figures and estimates of reserves and resources, or the nature, size, and extent of workings. Information on the geological characteristics of the mineral resource are likely to remain correct, but aspects involving human activity are likely to be out of date.

Malaria risk level of Dilla watershed in districts and kebele.

This report is a digital compilation of information on Africa's coal-bearing geology found in the literature and is intended to be used in small scale spatial investigations in a Geographic Information Systems (GIS) and as a visual aid for the discussion of Africa's coal resources. The African continent contains approximately 5% of the world's proven recoverable reserves of coal (World Energy Council, 2007). A review of academic and industrial literature indicates that 27 nations in Africa contain coal-bearing rock. Existing U.S. Geological Survey (USGS) digital geology datasets provide the majority of the base geologic polygons in this dataset. Polygons for the coal-bearing localities were clipped from the base geology that properly represented the age and extent of the coal deposit as indicated in the literature. This dataset includes information regarding the rank, age and location of coal in Africa as well as the detailed source information responsible for each coal-bearing polygon. This product is not appropriate for use in resource assessments of any kind.

Ez az adatkészlet 204 növekvő és 300 csökkenő Sentinel-1 geokódolt, csomagolatlan interferogramot és koherenciát, valamint 70 növekvő és 102 csökkenő Re-sampled Single Look Complex (RSLC) képet tartalmaz minden akvizíciós dátumhoz. Ez az adatkészlet tartalmazza az InSAR feldolgozás során használt eredeti méretű Digital Elevation Model (DEM) modellt is. Felhasznált adatok: Moore et al, 2019, „The 2017 Eruption of Erta 'Ale Volcano, Ethiopia: Insights into the Shallow Axial Plumbing System of an Incipient Mid-Ocean Ridge” (Az Erta 'Ale vulkán 2017. évi kitörése, Etiópia: Betekintés egy kezdődő Közép-Óceán-gerinc sekély tengelyű vízvezetékrendszerébe).