Litoloji veri kümesi, yüzeydeki toprak ana materyalinin genel türlerinin sınıflarını sağlar. Herhangi bir DEM'den türetilmez.
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.
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
Litoloji veri kümesi, yüzeydeki toprağın ana materyalinin genel türlerinin sınıflarını sağlar. Herhangi bir DEM'den türetilmemiştir. Conservation Science Partners (CSP) Ecologically Relevant Geomorphology (ERGo) Datasets, Landforms and Physiography, arazi şekilleri ve fizyografik (diğer adıyla arazi yüzü) desenler hakkında ayrıntılı, çok ölçekli veriler içerir. Ancak …
[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)"]]
