Compound Topographic Index (CTI) from the Hydrologic Derivatives for Modeling and Analysis (HDMA) database -- Africa
This data set contains the Compound Topographic Index (CTI) for Africa from the Hydrologic Derivatives for Modeling and Analysis (HDMA) database. The CTI data were developed and distributed by processing units. There are 19 processing units for Africa. The distribution files have the number of the p...
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USGS Science Data Catalog
2017
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dataone:71bba6ae-f8e2-47b2-9557-4386f9d0bd5f 2024-06-03T18:46:52+00:00 Compound Topographic Index (CTI) 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/71bba6ae-f8e2-47b2-9557-4386f9d0bd5f 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 data set contains the Compound Topographic Index (CTI) for Africa from the Hydrologic Derivatives for Modeling and Analysis (HDMA) database. The CTI 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_cti_3_2.zip contains the CTI 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 data sets: 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 data set) 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 Compound Topographic Index (CTI) 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 data set contains the Compound Topographic Index (CTI) for Africa from the Hydrologic Derivatives for Modeling and Analysis (HDMA) database. The CTI 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_cti_3_2.zip contains the CTI 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 data sets: 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 data set) 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 |
Compound Topographic Index (CTI) from the Hydrologic Derivatives for Modeling and Analysis (HDMA) database -- Africa |
title_short |
Compound Topographic Index (CTI) from the Hydrologic Derivatives for Modeling and Analysis (HDMA) database -- Africa |
title_full |
Compound Topographic Index (CTI) from the Hydrologic Derivatives for Modeling and Analysis (HDMA) database -- Africa |
title_fullStr |
Compound Topographic Index (CTI) from the Hydrologic Derivatives for Modeling and Analysis (HDMA) database -- Africa |
title_full_unstemmed |
Compound Topographic Index (CTI) from the Hydrologic Derivatives for Modeling and Analysis (HDMA) database -- Africa |
title_sort |
compound topographic index (cti) from the hydrologic derivatives for modeling and analysis (hdma) database -- africa |
publisher |
USGS Science Data Catalog |
publishDate |
2017 |
url |
https://search.dataone.org/view/71bba6ae-f8e2-47b2-9557-4386f9d0bd5f |
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 |
_version_ |
1800872330771038208 |