CSP gHM: Global Human Modification (CSP/HM/GlobalHumanModification)
Version 1.0
The global Human Modification dataset (gHM) provides a cumulative measure of human modification
of terrestrial lands globally at 1 square-kilometer resolution. The gHM
values range from 0.0-1.0 and are calculated by estimating the proportion of a given location
(pixel) that is modified, the estimated intensity of modification
associated with a given type of human modification or “stressor”.
5 major anthropogenic stressors circa 2016 were mapped using 13
individual datasets:
- human settlement (population density, built-up areas)
- agriculture (cropland, livestock)
- transportation (major, minor, and two-track roads; railroads)
- mining and energy production
- electrical infrastructure (power lines, nighttime lights)
Please see the paper for additional methodological details.
This asset was re-projected to WGS84 for use in Earth Engine.
| Name | Description | Gee:unit |
|---|---|---|
| gHM | global Human Modification | km^2 |
Providers | |
|---|---|
| Conservation Science Partners (producer, licensor) | |
| Google Earth Engine (host) | |
| STAC Version | 0.6.2 |
| Keywords | csp, fragmentation, human_modification, landcover, landscape_gradient, stressors, tnc |
| License | proprietary |
| Temporal Extent | 12/31/2015, 4:00:00 PM - 12/30/2016, 4:00:00 PM |
| Citation | Kennedy, C.M., J.R. Oakleaf, D.M. Theobald, S. Baurch-Murdo, and J. Kiesecker. 2019. Managing the middle: A shift in conservation priorities based on the global human modification gradient. Global Change Biology 00:1-16. https://doi.org/10.1111/gcb.14549 |
| Type | image_collection |
| GSD | metersm |
| Cadence | year |
| cube:dimensions | {"x":{"type":"spatial","axis":"x","extent":[-180,180]},"y":{"type":"spatial","axis":"y","extent":[-90,90]},"temporal":{"type":"temporal","extent":["2016-01-01T00:00:00Z","2016-12-31T00:00:00Z"]},"bands":{"type":"bands","values":["gHM"]}} |