Der mTPI unterscheidet zwischen Bergkamm- und Talformen. Er wird anhand von Höhendaten für jeden Standort berechnet, von denen die durchschnittliche Höhe in einem Stadtteil abgezogen wird. Für den mTPI werden gleitende Fenster mit folgenden Radien (in km) verwendet: 115,8, 89,9, 35,5, 13,1, 5,6, 2,8 und 1,2. Sie basiert auf dem 30‑m-SRTM-DEM (in EE als USGS/SRTMGL1_003 verfügbar).
Die Datasets „Ecologically Relevant Geomorphology“ (ERGo) von Conservation Science Partners (CSP), „Landforms“ und „Physiography“ enthalten detaillierte, mehrskalige Daten zu Landformen und physiografischen (auch als Landfacetten bezeichneten) Mustern. Obwohl diese Daten viele potenzielle Verwendungsmöglichkeiten haben, war der ursprüngliche Zweck, eine ökologisch relevante Klassifizierung und Karte von Landformen und physiografischen Klassen zu entwickeln, die für die Planung der Klimaanpassung geeignet sind. Da zukünftige Klimabedingungen mit großer Unsicherheit behaftet sind und die ökologischen Reaktionen noch unsicherer sind, bietet die Bereitstellung von Informationen darüber, was sich wahrscheinlich nicht ändern wird, eine solide Grundlage für die Entwicklung robuster Klimaanpassungspläne. Die Quantifizierung dieser Landschaftsmerkmale hängt von der Auflösung ab. Daher stellen wir die höchstmögliche Auflösung bereit, die angesichts des Umfangs und der Merkmale eines bestimmten Index möglich ist.
Bänder
Pixelgröße 270 Meter
Bänder
Name
Einheiten
Min.
Max.
Pixelgröße
Beschreibung
elevation
m
–8.129*
7905*
Meter
Aus SRTM abgeleiteter mTPI-Wert, der von negativen (Täler) bis zu positiven (Kämme) Werten reicht
Theobald, D. M., Harrison-Atlas, D., Monahan, W. B., & Albano, C. M.
(2015). Ökologisch relevante Karten von Landformen und physiografischer Vielfalt für die Planung der Klimaanpassung. PloS one, 10(12),
e0143619
Der mTPI unterscheidet zwischen Bergkamm- und Talformen. Er wird anhand von Höhendaten für jeden Standort berechnet, von denen die durchschnittliche Höhe in einer Umgebung abgezogen wird. Für den mTPI werden gleitende Fenster mit folgenden Radien (in km) verwendet: 115,8, 89,9, 35,5, 13,1, 5,6, 2,8 und 1,2. Es basiert auf dem 30‑Meter-SRTM-DEM (verfügbar in 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)"]]
