mTPI membedakan bentuk punggung bukit dari lembah. mTPI dihitung menggunakan data elevasi untuk setiap lokasi yang dikurangi dengan elevasi rata-rata dalam suatu lingkungan. mTPI menggunakan jendela bergerak dengan radius (km): 115,8, 89,9, 35,5, 13,1, 5,6, 2,8, dan 1,2. Data ini didasarkan pada DEM SRTM 30 m (tersedia di EE sebagai USGS/SRTMGL1_003).
Kumpulan Data Geomorphology (ERGo) yang Relevan secara Ekologis, Bentuk Lahan, dan Fisiografi dari Conservation Science Partners (CSP) berisi data multi-skala yang mendetail tentang bentuk lahan dan pola fisiografi (alias aspek lahan). Meskipun ada banyak potensi penggunaan data ini, tujuan awal data ini adalah untuk mengembangkan klasifikasi dan peta bentuk lahan dan kelas fisiografi yang relevan secara ekologis yang sesuai untuk perencanaan adaptasi iklim. Karena ada ketidakpastian besar yang terkait dengan kondisi iklim di masa mendatang dan bahkan lebih banyak ketidakpastian seputar respons ekologis, memberikan informasi tentang apa yang tidak mungkin berubah akan memberikan dasar yang kuat bagi pengelola untuk menyusun rencana adaptasi iklim yang kuat. Kuantifikasi fitur lanskap ini sensitif terhadap resolusi, jadi kami memberikan resolusi tertinggi yang mungkin mengingat cakupan dan karakteristik indeks tertentu.
Band
Ukuran Piksel 270 meter
Band
Nama
Unit
Min
Maks
Ukuran Piksel
Deskripsi
elevation
m
-8129*
7905*
meter
mTPI yang berasal dari SRTM dengan rentang nilai negatif (lembah) hingga positif (punggung bukit)
Theobald, D. M., Harrison-Atlas, D., Monahan, W. B., & Albano, C. M.
(2015). Peta bentuk lahan dan keanekaragaman fisiografi yang relevan secara ekologis untuk perencanaan adaptasi iklim. PloS one, 10(12),
e0143619
mTPI membedakan bentuk punggung bukit dari lembah. mTPI dihitung menggunakan data elevasi untuk setiap lokasi yang dikurangi dengan elevasi rata-rata dalam suatu lingkungan. mTPI menggunakan jendela bergerak dengan radius (km): 115,8, 89,9, 35,5, 13,1, 5,6, 2,8, dan 1,2. Data ini didasarkan pada DEM SRTM 30 m (tersedia di 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)"]]
