Das ALOS-Dataset für Landformen enthält Landformklassen, die durch die Kombination der Datasets für den Continuous Heat-Insolation Load Index (CHILI) und den multiskaligen Topographic Position Index (mTPI) erstellt wurden. Sie basiert auf dem 10‑m-NED-DEM des USGS (in EE als USGS/NED 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.
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
Das ALOS-Dataset für Landformen enthält Landformklassen, die durch die Kombination der Datasets „Continuous Heat-Insolation Load Index“ (CHILI) und „Multi-scale Topographic Position Index“ (mTPI) erstellt wurden. Es basiert auf dem 10‑m-NED-DEM des USGS (in EE als USGS/NED verfügbar). Die ökologisch relevanten Geomorphologie-Datasets (ERGo) von Conservation Science Partners (CSP), Landformen und …
[null,null,[],[[["\u003cp\u003eThe ALOS Landform dataset provides landform classes by combining CHILI and mTPI datasets, based on the USGS's 10m NED DEM.\u003c/p\u003e\n"],["\u003cp\u003eThe dataset was developed for climate adaptation planning by classifying landforms and physiographic patterns.\u003c/p\u003e\n"],["\u003cp\u003eIt offers 10-meter resolution and includes 15 distinct landform classes, such as peaks, ridges, slopes, and valleys.\u003c/p\u003e\n"],["\u003cp\u003eThe dataset is provided by Conservation Science Partners and is licensed under CC-BY-NC-SA-4.0.\u003c/p\u003e\n"],["\u003cp\u003eIt covers the United States and is available in Google Earth Engine for analysis and visualization.\u003c/p\u003e\n"]]],[],null,["# US NED Landforms\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 ALOS Landform dataset provides landform classes created by combining\nthe Continuous Heat-Insolation Load Index (CHILI) and the\nmulti-scale Topographic Position Index (mTPI) datasets. It is\nbased on the USGS's 10m NED DEM (available in 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\n10 meters\n\n**Bands**\n\n| Name | Pixel Size | Description |\n|------------|------------|------------------------------|\n| `constant` | meters | NED-derived landform classes |\n\n**constant Class Table**\n\n| Value | Color | Description |\n|-------|---------|--------------------|\n| 11 | #141414 | Peak/ridge (warm) |\n| 12 | #383838 | Peak/ridge |\n| 13 | #808080 | Peak/ridge (cool) |\n| 14 | #ebeb8f | Mountain/divide |\n| 15 | #f7d311 | Cliff |\n| 21 | #aa0000 | Upper slope (warm) |\n| 22 | #d89382 | Upper slope |\n| 23 | #ddc9c9 | Upper slope (cool) |\n| 24 | #dccdce | Upper slope (flat) |\n| 31 | #1c6330 | Lower slope (warm) |\n| 32 | #68aa63 | Lower slope |\n| 33 | #b5c98e | Lower slope (cool) |\n| 34 | #e1f0e5 | Lower slope (flat) |\n| 41 | #a975ba | Valley |\n| 42 | #6f198c | Valley (narrow) |\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/landforms');\nvar landforms = dataset.select('constant');\nvar landformsVis = {\n min: 11.0,\n max: 42.0,\n palette: [\n '141414', '383838', '808080', 'ebeb8f', 'f7d311', 'aa0000', 'd89382',\n 'ddc9c9', 'dccdce', '1c6330', '68aa63', 'b5c98e', 'e1f0e5', 'a975ba',\n '6f198c'\n ],\n};\nMap.setCenter(-105.58, 40.5498, 11);\nMap.addLayer(landforms, landformsVis, 'Landforms');\n```\n[Open in Code Editor](https://code.earthengine.google.com/?scriptPath=Examples:Datasets/CSP/CSP_ERGo_1_0_US_landforms) \n[US NED Landforms](/earth-engine/datasets/catalog/CSP_ERGo_1_0_US_landforms) \nThe ALOS Landform dataset provides landform classes created by combining the Continuous Heat-Insolation Load Index (CHILI) and the multi-scale Topographic Position Index (mTPI) datasets. It is based on the USGS's 10m NED DEM (available in EE as USGS/NED). The Conservation Science Partners (CSP) Ecologically Relevant Geomorphology (ERGo) Datasets, Landforms and ... \nCSP/ERGo/1_0/US/landforms, 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_landforms)"]]