CSP gHM: Global Human Modification

AI-generated Key Takeaways

• The Global Human Modification (gHM) dataset provides a cumulative measure of human impact on terrestrial lands globally at a 1-kilometer resolution.

• gHM values range from 0.0 to 1.0, representing the proportion and intensity of modification caused by human activities.

• Five major anthropogenic stressors are considered: human settlement, agriculture, transportation, mining/energy production, and electrical infrastructure.

• This dataset was created by Conservation Science Partners and is available for the year 2016.

• The dataset is licensed under CC-BY-NC-SA-4.0 and can be accessed and analyzed using Google Earth Engine.

Dataset Availability

2016-01-01T00:00:00Z–2016-12-31T00:00:00Z

Dataset Provider

Conservation Science Partners

Earth Engine Snippet

ee.ImageCollection("CSP/HM/GlobalHumanModification")

Cadence

1 Year

Tags

csp fragmentation human-modification landcover landscape-gradient population stressors

tnc

Description

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.

Bands

Pixel Size
1000 meters

Bands

Name	Units	Min	Max	Pixel Size	Description
gHM	km^2	0	1	meters	global Human Modification

Terms of Use

Terms of Use

CC-BY-NC-SA-4.0

Citations

Citations:

• Kennedy, C.M., J.R. Oakleaf, D.M. Theobald, S. Baruch-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. doi:10.1111/gcb.14549

Explore with Earth Engine

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Code Editor (JavaScript)

var dataset = ee.ImageCollection('CSP/HM/GlobalHumanModification');

var visualization = {
  bands: ['gHM'],
  min: 0.0,
  max: 1.0,
  palette: ['0c0c0c', '071aff', 'ff0000', 'ffbd03', 'fbff05', 'fffdfd']
};

Map.centerObject(dataset);

Map.addLayer(dataset, visualization, 'Human modification');

Open in Code Editor

CSP gHM: Global Human Modification

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 …

CSP/HM/GlobalHumanModification, csp,fragmentation,human-modification,landcover,landscape-gradient,population,stressors

2016-01-01T00:00:00Z/2016-12-31T00:00:00Z

-90 -180 90 180

Google Earth Engine

https://developers.google.com/earth-engine/datasets