L'mTPI permet de distinguer les formes de crête de celles de vallée. Il est calculé à l'aide des données d'altitude de chaque emplacement, auxquelles est soustraite l'altitude moyenne d'un quartier. Le mTPI utilise des fenêtres mobiles de rayon (en km) : 115,8, 89,9, 35,5, 13,1, 5,6, 2,8 et 1,2. Il est basé sur le MNT SRTM de 30 m (disponible dans EE sous USGS/SRTMGL1_003).
Les ensembles de données, les reliefs et la physiographie (également appelés facettes terrestres) de la Conservation Science Partners (CSP) Ecologically Relevant Geomorphology (ERGo) contiennent des données détaillées et multiscalaires sur les reliefs et les modèles physiographiques. Bien que ces données puissent être utilisées de nombreuses façons, leur objectif initial était de développer une classification et une carte écologiquement pertinentes des formes de relief et des classes physiographiques adaptées à la planification de l'adaptation au changement climatique. Étant donné la grande incertitude associée aux futures conditions climatiques et l'incertitude encore plus grande concernant les réponses écologiques, fournir des informations sur ce qui est peu susceptible de changer constitue une base solide pour permettre aux gestionnaires d'élaborer des plans d'adaptation au changement climatique robustes. La quantification de ces caractéristiques du paysage est sensible à la résolution. Nous fournissons donc la résolution la plus élevée possible compte tenu de l'étendue et des caractéristiques d'un indice donné.
Bracelets
Taille des pixels 270 mètres
Bandes de fréquences
Nom
Unités
Min
Max
Taille des pixels
Description
elevation
m
-8129*
7905*
mètres
mTPI dérivé de SRTM, avec des valeurs négatives (vallées) et positives (crêtes)
Theobald, D. M., Harrison-Atlas, D., Monahan, W. B. & Albano, C. M.
(2015). Cartes écologiques des formes de relief et de la diversité physiographique pour la planification de l'adaptation au changement climatique. PloS one, 10(12),
e0143619
L'mTPI permet de distinguer les formes de crête de celles de vallée. Il est calculé à l'aide des données d'altitude pour chaque emplacement, auxquelles est soustraite l'altitude moyenne d'un quartier. L'indice mTPI utilise des fenêtres mobiles de rayon (en km) : 115,8, 89,9, 35,5, 13,1, 5,6, 2,8 et 1,2. Il est basé sur le MNT SRTM de 30 m (disponible dans EE…
[null,null,[],[[["\u003cp\u003eThe Conservation Science Partners (CSP) Ecologically Relevant Geomorphology (ERGo) dataset provides multi-scale data on landforms and physiographic patterns for climate adaptation planning.\u003c/p\u003e\n"],["\u003cp\u003eThe dataset features a global SRTM-derived mTPI (Multi-Scale Topographic Position Index) at a 270-meter resolution, distinguishing ridge from valley forms based on elevation data.\u003c/p\u003e\n"],["\u003cp\u003eThe mTPI is calculated using moving windows of radius (km): 115.8, 89.9, 35.5, 13.1, 5.6, 2.8, and 1.2, and is based on the 30m SRTM DEM.\u003c/p\u003e\n"],["\u003cp\u003eThe dataset is available from January 24, 2006 to May 13, 2011 and is licensed under CC-BY-NC-SA-4.0.\u003c/p\u003e\n"]]],["The dataset, provided by Conservation Science Partners, covers 2006-01-24 to 2011-05-13. It features the multi-scale Topographic Position Index (mTPI), which differentiates ridges from valleys using elevation data. Calculated by subtracting each location's elevation from the mean neighborhood elevation. The mTPI uses various moving window radii and is derived from 30m SRTM DEM data, and provides multi-scale landform and physiographic data for climate adaptation planning. Data is available via Earth Engine.\n"],null,["# Global SRTM mTPI (Multi-Scale Topographic Position Index)\n\nDataset Availability\n: 2006-01-24T00:00:00Z--2011-05-13T00:00:00Z\n\nDataset Provider\n:\n\n\n [Conservation Science Partners](https://www.csp-inc.org/)\n\nTags\n:\n[aspect](/earth-engine/datasets/tags/aspect) [csp](/earth-engine/datasets/tags/csp) [elevation](/earth-engine/datasets/tags/elevation) [elevation-topography](/earth-engine/datasets/tags/elevation-topography) [ergo](/earth-engine/datasets/tags/ergo) [geophysical](/earth-engine/datasets/tags/geophysical) [global](/earth-engine/datasets/tags/global) [landforms](/earth-engine/datasets/tags/landforms) [slope](/earth-engine/datasets/tags/slope) [topography](/earth-engine/datasets/tags/topography) \n\n#### Description\n\nThe mTPI distinguishes ridge from valley forms. It is calculated using\nelevation data for each location subtracted by the mean elevation within a\nneighborhood. mTPI uses moving windows of radius (km): 115.8, 89.9, 35.5,\n13.1, 5.6, 2.8, and 1.2. It is based on the 30m SRTM DEM (available in EE\nas USGS/SRTMGL1_003).\n\nThe Conservation Science Partners (CSP) Ecologically Relevant Geomorphology\n(ERGo) Datasets, Landforms and Physiography contain detailed, multi-scale\ndata on landforms and physiographic (aka land facet) patterns. Although\nthere are many potential uses of these data, the original purpose for these\ndata was to develop an ecologically relevant classification and map of\nlandforms and physiographic classes that are suitable for climate adaptation\nplanning. Because there is large uncertainty associated with future climate\nconditions and even more uncertainty around ecological responses, providing\ninformation about what is unlikely to change offers a strong foundation for\nmanagers to build robust climate adaptation plans. The quantification of\nthese features of the landscape is sensitive to the resolution, so we\nprovide the highest resolution possible given the extent and characteristics\nof a given index.\n\n### Bands\n\n\n**Pixel Size**\n\n270 meters\n\n**Bands**\n\n| Name | Units | Min | Max | Pixel Size | Description |\n|-------------|-------|---------|--------|------------|-------------------------------------------------------------------------------|\n| `elevation` | m | -8129\\* | 7905\\* | meters | SRTM-derived mTPI ranging from negative (valleys) to positive (ridges) values |\n\n\\* estimated min or max value\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- Theobald, D. M., Harrison-Atlas, D., Monahan, W. B., \\& Albano, C. M.\n (2015). Ecologically-relevant maps of landforms and physiographic diversity\n for climate adaptation planning. PloS one, 10(12),\n [e0143619](https://journals.plos.org/plosone/article?id=10.1371/journal.pone.0143619)\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.Image('CSP/ERGo/1_0/Global/SRTM_mTPI');\nvar srtmMtpi = dataset.select('elevation');\nvar srtmMtpiVis = {\n min: -200.0,\n max: 200.0,\n palette: ['0b1eff', '4be450', 'fffca4', 'ffa011', 'ff0000'],\n};\nMap.setCenter(-105.8636, 40.3439, 11);\nMap.addLayer(srtmMtpi, srtmMtpiVis, 'SRTM mTPI');\n```\n[Open in Code Editor](https://code.earthengine.google.com/?scriptPath=Examples:Datasets/CSP/CSP_ERGo_1_0_Global_SRTM_mTPI) \n[Global SRTM mTPI (Multi-Scale Topographic Position Index)](/earth-engine/datasets/catalog/CSP_ERGo_1_0_Global_SRTM_mTPI) \nThe mTPI distinguishes ridge from valley forms. It is calculated using elevation data for each location subtracted by the mean elevation within a neighborhood. mTPI uses moving windows of radius (km): 115.8, 89.9, 35.5, 13.1, 5.6, 2.8, and 1.2. It is based on the 30m SRTM DEM (available in EE ... \nCSP/ERGo/1_0/Global/SRTM_mTPI, aspect,csp,elevation,elevation-topography,ergo,geophysical,global,landforms,slope,topography \n2006-01-24T00:00:00Z/2011-05-13T00:00:00Z \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_ERGo_1_0_Global_SRTM_mTPI)"]]
