mTPI, sırt ve vadi şekillerini ayırt eder. Her konum için yükseklik verileri kullanılarak hesaplanır. Bu verilerden, bir mahalledeki ortalama yükseklik çıkarılır. mTPI, yarıçapı (km) 115,8, 89,9, 35,5, 13,1, 5,6, 2,8 ve 1,2 olan hareketli pencereler kullanır. USGS'nin 10 m NED DEM'sine (EE'de USGS/NED olarak mevcuttur) dayanır.
Conservation Science Partners (CSP) Ekolojik Olarak İlgili Jeomorfoloji (ERGo) Veri Kümeleri, Yer Şekilleri ve Fizyografi, yer şekilleri ve fizyografik (diğer adıyla arazi yüzeyi) desenleri hakkında ayrıntılı ve çok ölçekli veriler içerir. Bu verilerin birçok olası kullanımı olsa da bu verilerin asıl amacı, iklime uyum planlaması için uygun olan yer şekillerinin ve fizyografik sınıfların ekolojik olarak alakalı bir sınıflandırmasını ve haritasını geliştirmekti. Gelecekteki iklim koşullarıyla ilgili büyük bir belirsizlik ve ekolojik tepkilerle ilgili daha da fazla belirsizlik olduğundan, değişmesi muhtemel olmayan şeyler hakkında bilgi vermek yöneticilerin sağlam iklim uyum planları oluşturması için güçlü bir temel sunar. Manzaranın bu özelliklerinin ölçümü çözünürlüğe duyarlı olduğundan, belirli bir indeksin kapsamı ve özellikleri göz önüne alındığında mümkün olan en yüksek çözünürlüğü sunuyoruz.
Bantlar
Piksel Boyutu 270 metre
Bantlar
Ad
Birimler
Min.
Maks.
Piksel Boyutu
Açıklama
elevation
dk.
-378
493
metre
Negatif (vadiler) ile pozitif (sırtlar) değerler arasında değişen NED'den türetilmiş mTPI
Theobald, D. M., Harrison-Atlas, D., Monahan, W. B., & Albano, C. M.
(2015). İklim değişikliğine adaptasyon planlaması için yer şekillerinin ve fizyografik çeşitliliğin ekolojik olarak ilgili haritaları. PloS one, 10(12),
e0143619
mTPI, sırt ve vadi şekillerini ayırt eder. Her konumun yükseklik verileri, mahalledeki ortalama yükseklik çıkarılarak hesaplanır. mTPI, yarıçapı (km) 115,8, 89,9, 35,5, 13,1, 5,6, 2,8 ve 1,2 olan hareketli pencereler kullanır. USGS'nin 10 m NED DEM'sine (…
[null,null,[],[[["\u003cp\u003eThe CSP ERGo US mTPI dataset provides a multi-scale topographic position index (mTPI) for the United States, distinguishing ridges from valleys.\u003c/p\u003e\n"],["\u003cp\u003eIt's calculated using elevation data and the mean elevation within varying neighborhood radii (1.2 km to 115.8 km), based on the USGS 10m NED DEM.\u003c/p\u003e\n"],["\u003cp\u003eThis dataset is useful for climate adaptation planning, landform analysis, and ecological studies, offering insights into physiographic patterns.\u003c/p\u003e\n"],["\u003cp\u003eThe data is available at a 270-meter resolution and covers the period from January 24, 2006, to May 13, 2011.\u003c/p\u003e\n"],["\u003cp\u003eDeveloped by Conservation Science Partners, it is licensed under CC-BY-NC-SA-4.0 and available through Google Earth Engine.\u003c/p\u003e\n"]]],["The dataset, provided by Conservation Science Partners, contains multi-scale landform and physiographic data, specifically the US multi-scale Topographic Position Index (mTPI), derived from USGS elevation data. mTPI distinguishes ridges and valleys, calculated by subtracting a location's elevation from the mean elevation within moving windows of varying radii. The dataset spans 2006-01-24 to 2011-05-13, is available through Earth Engine, and includes an elevation band with a 270-meter pixel size.\n"],null,["# US NED 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) [landforms](/earth-engine/datasets/tags/landforms) [slope](/earth-engine/datasets/tags/slope) [topography](/earth-engine/datasets/tags/topography) [us](/earth-engine/datasets/tags/us) \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 USGS's 10m NED DEM (available\nin EE as USGS/NED).\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 | -378 | 493 | meters | NED-derived mTPI ranging from negative (valleys) to positive (ridges) values |\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/US/mTPI');\nvar usMtpi = dataset.select('elevation');\nvar usMtpiVis = {\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(usMtpi, usMtpiVis, 'US mTPI');\n```\n[Open in Code Editor](https://code.earthengine.google.com/?scriptPath=Examples:Datasets/CSP/CSP_ERGo_1_0_US_mTPI) \n[US NED mTPI (Multi-Scale Topographic Position Index)](/earth-engine/datasets/catalog/CSP_ERGo_1_0_US_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 USGS's 10m NED DEM (available in ... \nCSP/ERGo/1_0/US/mTPI, aspect,csp,elevation,elevation-topography,ergo,geophysical,landforms,slope,topography,us \n2006-01-24T00:00:00Z/2011-05-13T00:00:00Z \n12.54 -132.09 56.21 -60.35 \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_US_mTPI)"]]
