Il set di dati ALOS Landform fornisce classi di forme del terreno create combinando
l'indice di carico di insolazione termica continua (CHILI) e i
set di dati dell'indice di posizione topografica multiscala (mTPI). Si basa
sul DEM NED a 10 m dell'USGS (disponibile in EE come USGS/NED).
I set di dati, le forme del terreno e la fisiografia di Conservation Science Partners (CSP) Ecologically Relevant Geomorphology (ERGo) contengono dati dettagliati e multiscala su forme del terreno e pattern fisiografici (noti anche come sfaccettature del terreno). Sebbene
questi dati possano essere utilizzati in molti modi, lo scopo originale era quello di sviluppare una classificazione e una mappa ecologicamente pertinenti di
forme del terreno e classi fisiografiche adatte alla pianificazione dell'adattamento ai cambiamenti climatici. Poiché esiste una grande incertezza associata alle condizioni climatiche future e ancora maggiore incertezza sulle risposte ecologiche, fornire informazioni su ciò che è improbabile che cambi offre una solida base per consentire ai gestori di elaborare piani di adattamento al clima efficaci. La quantificazione di queste caratteristiche del paesaggio è sensibile alla risoluzione, pertanto forniamo la risoluzione più elevata possibile in base all'estensione e alle caratteristiche di un determinato indice.
Theobald, D. M., Harrison-Atlas, D., Monahan, W. B., & Albano, C. M.
(2015). Mappe ecologicamente rilevanti di morfologie e diversità fisiografica
per la pianificazione dell'adattamento al clima. PloS one, 10(12),
e0143619
Il set di dati ALOS Landform fornisce classi di forme del terreno create combinando i set di dati Continuous Heat-Insolation Load Index (CHILI) e multi-scale Topographic Position Index (mTPI). Si basa sul DEM NED da 10 m dell'USGS (disponibile in EE come USGS/NED). The Conservation Science Partners (CSP) Ecologically Relevant Geomorphology (ERGo) Datasets, Landforms and …
[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)"]]
