Mountain classification in the Global Mountain Explorer (GME)
Detailed Description
Mountain classification in the Global Mountain Explorer (GME)
The K3 Mountain Classes imagery layer contains the four global mountain classifications produced by Karagulle et al. (2017), which used a finer spatial resolution (250 m) DEM and feature-based extraction algorithms with variable NAW sizes to extract the set of global Hammond landforms which were mountain classes. This resource was developed by the U.S. Geological Survey (USGS), in partnership with Esri, the Center for Development and Environment of the University of Bern (CDE), the Global Mountain Biodiversity Assessment (GMBA), and the Mountain Research Initiative (MRI).
Sources/Usage
Public Domain.
Related
Global Ecosystems Global Data
USGS transitioned from its continental work into developing the data needed to address natural resource management from a global perspective. USGS is also responsible for the implementation of companion tools, called Explorers, to provide web-based visualization and query functionality for each new global dataset. Development of these datasets is being done by the USGS in partnership with Esri and...
Related
Global Ecosystems Global Data
USGS transitioned from its continental work into developing the data needed to address natural resource management from a global perspective. USGS is also responsible for the implementation of companion tools, called Explorers, to provide web-based visualization and query functionality for each new global dataset. Development of these datasets is being done by the USGS in partnership with Esri and...