Digital Elevation Model (DEM) from the Hydrologic Derivatives for Modeling and Analysis (HDMA) database -- Africa

This dataset contains the Digital Elevation Model (DEM) for Africa from the Hydrologic Derivatives for Modeling and Analysis (HDMA) database. The DEM data were developed and distributed by processing units. There are 19 processing units for Africa. The distribution files have the number of the proce...

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Bibliographic Details
Main Author: Kristine L. Verdin
Format: Dataset
Language:unknown
Published: USGS Science Data Catalog 2017
Subjects:
Online Access:https://search.dataone.org/view/c93d9803-d1ac-45c2-bc65-1bc36689b563
id dataone:c93d9803-d1ac-45c2-bc65-1bc36689b563
record_format openpolar
spelling dataone:c93d9803-d1ac-45c2-bc65-1bc36689b563 2024-06-03T18:46:52+00:00 Digital Elevation Model (DEM) from the Hydrologic Derivatives for Modeling and Analysis (HDMA) database -- Africa Kristine L. Verdin ENVELOPE(-25.3625,77.6025,37.560833,-54.465) 2017-01-01T00:00:00Z https://search.dataone.org/view/c93d9803-d1ac-45c2-bc65-1bc36689b563 unknown USGS Science Data Catalog dem stream hydrologic derivatives pfafstetter Pfafstetter streams digital elevation models elevation inlandWaters Africa Dataset 2017 dataone:urn:node:USGS_SDC 2024-06-03T18:10:07Z This dataset contains the Digital Elevation Model (DEM) for Africa from the Hydrologic Derivatives for Modeling and Analysis (HDMA) database. The DEM data were developed and distributed by processing units. There are 19 processing units for Africa. The distribution files have the number of the processing unit appended to the end of the zip file name (e.g. af_dem_3_2.zip contains the DEM data for unit 3-2). The HDMA database provides comprehensive and consistent global coverage of raster and vector topographically derived layers, including raster layers of digital elevation model (DEM) data, flow direction, flow accumulation, slope, and compound topographic index (CTI); and vector layers of streams and catchment boundaries. The coverage of the data is global (-180º, 180º, -90º, 90º) with the underlying DEM being a hybrid of three datasets: HydroSHEDS (Hydrological data and maps based on SHuttle Elevation Derivatives at multiple Scales), Global Multi-resolution Terrain Elevation Data 2010 (GMTED2010) and the Shuttle Radar Topography Mission (SRTM). For most of the globe south of 60º North, the raster resolution of the data is 3-arc-seconds, corresponding to the resolution of the SRTM. For the areas North of 60º, the resolution is 7.5-arc-seconds (the smallest resolution of the GMTED2010 dataset) except for Greenland, where the resolution is 30-arc-seconds. The streams and catchments are attributed with Pfafstetter codes, based on a hierarchical numbering system, that carry important topological information. Dataset Greenland USGS Science Data Catalog (via DataONE) Greenland ENVELOPE(-25.3625,77.6025,37.560833,-54.465)
institution Open Polar
collection USGS Science Data Catalog (via DataONE)
op_collection_id dataone:urn:node:USGS_SDC
language unknown
topic dem stream hydrologic derivatives pfafstetter
Pfafstetter
streams
digital elevation models
elevation
inlandWaters
Africa
spellingShingle dem stream hydrologic derivatives pfafstetter
Pfafstetter
streams
digital elevation models
elevation
inlandWaters
Africa
Kristine L. Verdin
Digital Elevation Model (DEM) from the Hydrologic Derivatives for Modeling and Analysis (HDMA) database -- Africa
topic_facet dem stream hydrologic derivatives pfafstetter
Pfafstetter
streams
digital elevation models
elevation
inlandWaters
Africa
description This dataset contains the Digital Elevation Model (DEM) for Africa from the Hydrologic Derivatives for Modeling and Analysis (HDMA) database. The DEM data were developed and distributed by processing units. There are 19 processing units for Africa. The distribution files have the number of the processing unit appended to the end of the zip file name (e.g. af_dem_3_2.zip contains the DEM data for unit 3-2). The HDMA database provides comprehensive and consistent global coverage of raster and vector topographically derived layers, including raster layers of digital elevation model (DEM) data, flow direction, flow accumulation, slope, and compound topographic index (CTI); and vector layers of streams and catchment boundaries. The coverage of the data is global (-180º, 180º, -90º, 90º) with the underlying DEM being a hybrid of three datasets: HydroSHEDS (Hydrological data and maps based on SHuttle Elevation Derivatives at multiple Scales), Global Multi-resolution Terrain Elevation Data 2010 (GMTED2010) and the Shuttle Radar Topography Mission (SRTM). For most of the globe south of 60º North, the raster resolution of the data is 3-arc-seconds, corresponding to the resolution of the SRTM. For the areas North of 60º, the resolution is 7.5-arc-seconds (the smallest resolution of the GMTED2010 dataset) except for Greenland, where the resolution is 30-arc-seconds. The streams and catchments are attributed with Pfafstetter codes, based on a hierarchical numbering system, that carry important topological information.
format Dataset
author Kristine L. Verdin
author_facet Kristine L. Verdin
author_sort Kristine L. Verdin
title Digital Elevation Model (DEM) from the Hydrologic Derivatives for Modeling and Analysis (HDMA) database -- Africa
title_short Digital Elevation Model (DEM) from the Hydrologic Derivatives for Modeling and Analysis (HDMA) database -- Africa
title_full Digital Elevation Model (DEM) from the Hydrologic Derivatives for Modeling and Analysis (HDMA) database -- Africa
title_fullStr Digital Elevation Model (DEM) from the Hydrologic Derivatives for Modeling and Analysis (HDMA) database -- Africa
title_full_unstemmed Digital Elevation Model (DEM) from the Hydrologic Derivatives for Modeling and Analysis (HDMA) database -- Africa
title_sort digital elevation model (dem) from the hydrologic derivatives for modeling and analysis (hdma) database -- africa
publisher USGS Science Data Catalog
publishDate 2017
url https://search.dataone.org/view/c93d9803-d1ac-45c2-bc65-1bc36689b563
op_coverage ENVELOPE(-25.3625,77.6025,37.560833,-54.465)
long_lat ENVELOPE(-25.3625,77.6025,37.560833,-54.465)
geographic Greenland
geographic_facet Greenland
genre Greenland
genre_facet Greenland
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