전 세계 인간 개조 데이터 세트 (gHM)는 1제곱킬로미터 해상도로 전 세계 육지의 인간 개조 누적 측정값을 제공합니다. gHM 값은 0.0~1.0이며, 수정된 특정 위치(픽셀)의 비율과 특정 유형의 인적 수정 또는 '스트레스 요인'과 관련된 수정 강도를 추정하여 계산됩니다.
2016년경의 5가지 주요 인위적 스트레스 요인은 13개의 개별 데이터 세트를 사용하여 매핑되었습니다.
인간 거주지 (인구 밀도, 건물 밀집 지역)
농업 (농지, 가축)
교통 (주요 도로, 부도로, 양방향 도로, 철도)
광업 및 에너지 생산
전기 인프라 (전력선, 야간 조명)
방법론에 관한 자세한 내용은 논문을 참고하세요.
이 애셋은 Earth Engine에서 사용할 수 있도록 WGS84로 다시 투영되었습니다.
Kennedy, C.M., J.R. Oakleaf, D.M. Theobald, S. Baruch-Murdo, J. Kiesecker. 2019년. 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
[null,null,[],[[["\u003cp\u003eThe Global Human Modification (gHM) dataset provides a cumulative measure of human impact on terrestrial lands globally at a 1-kilometer resolution.\u003c/p\u003e\n"],["\u003cp\u003egHM values range from 0.0 to 1.0, representing the proportion and intensity of modification caused by human activities.\u003c/p\u003e\n"],["\u003cp\u003eFive major anthropogenic stressors are considered: human settlement, agriculture, transportation, mining/energy production, and electrical infrastructure.\u003c/p\u003e\n"],["\u003cp\u003eThis dataset was created by Conservation Science Partners and is available for the year 2016.\u003c/p\u003e\n"],["\u003cp\u003eThe dataset is licensed under CC-BY-NC-SA-4.0 and can be accessed and analyzed using Google Earth Engine.\u003c/p\u003e\n"]]],["The Global Human Modification dataset (gHM) quantifies human impact on terrestrial lands at a 1km resolution, ranging from 0.0-1.0, for the year 2016. It assesses modification by estimating the proportion and intensity of human-induced changes. Five primary stressors are considered: settlements, agriculture, transportation, mining/energy, and electrical infrastructure. Data was re-projected to WGS84 for Earth Engine. The dataset, available via `ee.ImageCollection(\"CSP/HM/GlobalHumanModification\")`, is provided by Conservation Science Partners and distributed under a CC-BY-NC-SA-4.0 license.\n"],null,["# CSP gHM: Global Human Modification\n\nDataset Availability\n: 2016-01-01T00:00:00Z--2016-12-31T00:00:00Z\n\nDataset Provider\n:\n\n\n [Conservation Science Partners](https://www.csp-inc.org/)\n\nCadence\n: 1 Year\n\nTags\n:\n [csp](/earth-engine/datasets/tags/csp) [fragmentation](/earth-engine/datasets/tags/fragmentation) [human-modification](/earth-engine/datasets/tags/human-modification) [landcover](/earth-engine/datasets/tags/landcover) [landscape-gradient](/earth-engine/datasets/tags/landscape-gradient) [population](/earth-engine/datasets/tags/population) [stressors](/earth-engine/datasets/tags/stressors) \ntnc \n\n#### Description\n\nThe global Human Modification dataset (gHM) provides a cumulative measure of human modification\nof terrestrial lands globally at 1 square-kilometer resolution. The gHM\nvalues range from 0.0-1.0 and are calculated by estimating the proportion of a given location\n(pixel) that is modified, the estimated intensity of modification\nassociated with a given type of human modification or \"stressor\".\n5 major anthropogenic stressors circa 2016 were mapped using 13\nindividual datasets:\n\n- human settlement (population density, built-up areas)\n- agriculture (cropland, livestock)\n- transportation (major, minor, and two-track roads; railroads)\n- mining and energy production\n- electrical infrastructure (power lines, nighttime lights)\n\nPlease see the paper for additional methodological details.\nThis asset was re-projected to WGS84 for use in Earth Engine.\n\n### Bands\n\n\n**Pixel Size**\n\n1000 meters\n\n**Bands**\n\n| Name | Units | Min | Max | Pixel Size | Description |\n|-------|-------|-----|-----|------------|---------------------------|\n| `gHM` | km\\^2 | 0 | 1 | meters | global Human Modification |\n\n### Terms of Use\n\n**Terms of Use**\n\n[CC-BY-NC-SA-4.0](https://spdx.org/licenses/CC-BY-NC-SA-4.0.html)\n\n### Citations\n\nCitations:\n\n- Kennedy, C.M., J.R. Oakleaf, D.M. Theobald, S. Baruch-Murdo, and J. Kiesecker. 2019. Managing\n the middle: A shift in conservation priorities based on the global human modification gradient.\n Global Change Biology 00:1-16. [doi:10.1111/gcb.14549](https://doi.org/10.1111/gcb.14549)\n\n### Explore with Earth Engine\n\n| **Important:** Earth Engine is a platform for petabyte-scale scientific analysis and visualization of geospatial datasets, both for public benefit and for business and government users. Earth Engine is free to use for research, education, and nonprofit use. To get started, please [register for Earth Engine access.](https://console.cloud.google.com/earth-engine)\n\n### Code Editor (JavaScript)\n\n```javascript\nvar dataset = ee.ImageCollection('CSP/HM/GlobalHumanModification');\n\nvar visualization = {\n bands: ['gHM'],\n min: 0.0,\n max: 1.0,\n palette: ['0c0c0c', '071aff', 'ff0000', 'ffbd03', 'fbff05', 'fffdfd']\n};\n\nMap.centerObject(dataset);\n\nMap.addLayer(dataset, visualization, 'Human modification');\n```\n[Open in Code Editor](https://code.earthengine.google.com/?scriptPath=Examples:Datasets/CSP/CSP_HM_GlobalHumanModification) \n[CSP gHM: Global Human Modification](/earth-engine/datasets/catalog/CSP_HM_GlobalHumanModification) \nThe 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 ... \nCSP/HM/GlobalHumanModification, csp,fragmentation,human-modification,landcover,landscape-gradient,population,stressors \n2016-01-01T00:00:00Z/2016-12-31T00:00:00Z \n-90 -180 90 180 \nGoogle Earth Engine \nhttps://developers.google.com/earth-engine/datasets\n\n- [](https://doi.org/https://www.csp-inc.org/)\n- [](https://doi.org/https://developers.google.com/earth-engine/datasets/catalog/CSP_HM_GlobalHumanModification)"]]
