GMBA Mountain Inventory v2#

gmba-mountains · theme boundaries · live

8,327 named mountain-range polygons in a hierarchy up to ten levels deep (Snethlage et al. 2022), in basic, major-system (300), and all-level subsets and standard or broad extents.

import easysnowdata as esd

aoi = (-121.94, 46.72, -121.54, 46.99)   # Mount Rainier
mountains_gdf = esd.boundaries.mountains.load(aoi)

No account needed

Every route to this product is open. Nothing to set up.

Sources#

source

provider

credentials

resolution

extent

temporal

latency

notes

earthenv (default)

vector_http

none

—

global

static (v2.0, 2022)

—

one zipped shapefile per subset and extent (22-186 MB), cached on first use

Where each route points#

earthenv — EarthEnv live

https://data.earthenv.org/mountains/<extent>/GMBA_Inventory_v2.0_<extent>[_basic|_300].zip

Variables#

variable

units

dtype

nodata

categorical

name

—

—

—

no

gmba_id

—

—

—

no

level

—

—

—

no

Provenance#

Licence · CC BY 4.0

DOI · 10.1038/s41597-022-01256-y

Cite the data as

Snethlage, M. A., Geschke, J., Ranipeta, A., Jetz, W., Yoccoz, N. G., Körner, C., Spehn, E. M., Fischer, M., & Urbach, D. (2022). A hierarchical inventory of the world’s mountains for global comparative mountain science. Scientific Data 9, 149. Data: GMBA Mountain Inventory v2, EarthEnv, doi:10.48601/earthenv-t9k2-1407.

Documentation

Loader · easysnowdata.boundaries.mountains.load