Набор данных «Литология» содержит классы основных типов почвообразующих пород на поверхности. Он не основан на какой-либо ЦМР.
Наборы данных по экологически релевантной геоморфологии (ERGo), формам рельефа и физиографии, разработанные Conservation Science Partners (CSP), содержат подробные многомасштабные данные о формах рельефа и физиографических (т.н. «фасетных» характеристиках рельефа). Несмотря на множество потенциальных применений этих данных, изначальной целью их создания была разработка экологически релевантной классификации и карты форм рельефа и физиографических классов, подходящих для планирования адаптации к изменению климата. В связи с высокой неопределенностью, связанной с будущими климатическими условиями, и еще большей неопределенностью, связанной с экологическими реакциями, предоставление информации о том, что вряд ли изменится, дает руководителям надежную основу для разработки надежных планов адаптации к изменению климата. Количественная оценка этих характеристик ландшафта чувствительна к разрешению, поэтому мы предоставляем максимально возможное разрешение с учетом масштаба и характеристик данного индекса.
Набор данных Lithology содержит классы основных типов почвообразующих пород на поверхности. Он не основан на ЦМР. Наборы данных Ecologically Relevant Geomorphology (ERGo) Conservation Science Partners (CSP), Landforms and Physiography содержат подробные многомасштабные данные о формах рельефа и физиографических (то есть, очертаниях рельефа) закономерностях. Хотя…
[null,null,[],[[["\u003cp\u003eThe Lithology dataset classifies the general types of parent material of soil on the surface across the US.\u003c/p\u003e\n"],["\u003cp\u003eIt is part of the Conservation Science Partners (CSP) Ecologically Relevant Geomorphology (ERGo) datasets, focusing on landforms and physiographic patterns.\u003c/p\u003e\n"],["\u003cp\u003eThe dataset is available at a 90-meter resolution and covers the period from January 24, 2006, to May 13, 2011.\u003c/p\u003e\n"],["\u003cp\u003eIt includes a single band representing 20 different lithology classes, such as water, carbonate, and various sediment types.\u003c/p\u003e\n"],["\u003cp\u003eThis dataset is intended for climate adaptation planning and ecological research, providing insights into landform characteristics that are unlikely to change significantly over time.\u003c/p\u003e\n"]]],["The Lithology dataset, provided by Conservation Science Partners, classifies general soil parent material types. The data, part of the ERGo Datasets, spans from January 24, 2006, to May 13, 2011, and is accessible via an Earth Engine snippet. It includes 21 classes of lithology. The dataset is not based on DEM. The dataset includes information on landforms and physiography for climate adaptation planning with 90-meter pixel size. The data is under a CC-BY-NC-SA-4.0 license.\n"],null,["# US Lithology\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 Lithology dataset provides classes of the general types of parent\nmaterial of soil on the surface. It is not derived from any DEM.\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\n90 meters\n\n**Bands**\n\n| Name | Pixel Size | Description |\n|------|------------|-------------------|\n| `b1` | meters | Lithology classes |\n\n**b1 Class Table**\n\n| Value | Color | Description |\n|-------|---------|------------------------------------|\n| 0 | #356eff | Water |\n| 1 | #acb6da | Carbonate |\n| 3 | #d6b879 | Non-carbonate |\n| 4 | #313131 | Alkaline intrusive |\n| 5 | #eda800 | Silicic residual |\n| 7 | #616161 | Extrusive volcanic |\n| 8 | #d6d6d6 | Colluvial sediment |\n| 9 | #d0ddae | Glacial till clay |\n| 10 | #b8d279 | Glacial till loam |\n| 11 | #d5d378 | Glacial till coarse |\n| 13 | #141414 | Glacial lake sediment fine |\n| 14 | #6db155 | Glacial outwash coarse |\n| 15 | #9b6d55 | Hydric |\n| 16 | #feeec9 | Eolian sediment coarse |\n| 17 | #d6b879 | Eolian sediment fine |\n| 18 | #00b7ec | Saline lake sediment |\n| 19 | #ffda90 | Alluvium and coastal sediment fine |\n| 20 | #f8b28c | Coastal sediment coarse |\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/lithology');\nvar lithology = dataset.select('b1');\nvar lithologyVis = {\n min: 0.0,\n max: 20.0,\n palette: [\n '356eff', 'acb6da', 'd6b879', '313131', 'eda800', '616161', 'd6d6d6',\n 'd0ddae', 'b8d279', 'd5d378', '141414', '6db155', '9b6d55', 'feeec9',\n 'd6b879', '00b7ec', 'ffda90', 'f8b28c'\n ],\n};\nMap.setCenter(-105.8636, 40.3439, 11);\nMap.addLayer(lithology, lithologyVis, 'Lithology');\n```\n[Open in Code Editor](https://code.earthengine.google.com/?scriptPath=Examples:Datasets/CSP/CSP_ERGo_1_0_US_lithology) \n[US Lithology](/earth-engine/datasets/catalog/CSP_ERGo_1_0_US_lithology) \nThe Lithology dataset provides classes of the general types of parent material of soil on the surface. It is not derived from any DEM. The Conservation Science Partners (CSP) Ecologically Relevant Geomorphology (ERGo) Datasets, Landforms and Physiography contain detailed, multi-scale data on landforms and physiographic (aka land facet) patterns. Although ... \nCSP/ERGo/1_0/US/lithology, 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_lithology)"]]
