CHILI adalah pengganti efek insolasi dan naungan topografi pada evapotranspirasi yang diwakili dengan menghitung insolasi pada awal siang, ketinggian matahari setara dengan ekuinoks. Data ini didasarkan pada DEM SRTM 30 m
(tersedia di EE sebagai USGS/SRTMGL1_003).
Kumpulan Data Geomorphology (ERGo) yang Relevan secara Ekologis, Bentuk Lahan, dan Fisiografi dari Conservation Science Partners (CSP) berisi data multi-skala yang mendetail tentang bentuk lahan dan pola fisiografi (alias aspek lahan). Meskipun ada banyak potensi penggunaan data ini, tujuan awal data ini adalah untuk mengembangkan klasifikasi dan peta bentuk lahan dan kelas fisiografi yang relevan secara ekologis yang sesuai untuk perencanaan adaptasi iklim. Karena ada ketidakpastian besar yang terkait dengan kondisi iklim di masa mendatang dan bahkan lebih banyak ketidakpastian seputar respons ekologis, memberikan informasi tentang apa yang tidak mungkin berubah akan memberikan dasar yang kuat bagi pengelola untuk menyusun rencana adaptasi iklim yang kuat. Kuantifikasi fitur lanskap ini sensitif terhadap resolusi, jadi kami memberikan resolusi tertinggi yang mungkin mengingat cakupan dan karakteristik indeks tertentu.
Band
Ukuran Piksel 90 meter
Band
Nama
Min
Maks
Ukuran Piksel
Deskripsi
constant
0
255
meter
Indeks CHILI yang berasal dari SRTM dengan rentang 0 (sangat dingin) hingga 255 (sangat hangat). Nilai ini diskalakan ulang dari rentang [0,1] dalam publikasi.
Theobald, D. M., Harrison-Atlas, D., Monahan, W. B., & Albano, C. M.
(2015). Peta bentuk lahan dan keanekaragaman fisiografi yang relevan secara ekologis untuk perencanaan adaptasi iklim. PloS one, 10(12),
e0143619
CHILI adalah pengganti efek insolasi dan naungan topografi pada evapotranspirasi yang diwakili dengan menghitung insolasi pada awal sore, ketinggian matahari setara dengan ekuinoks. Data ini didasarkan pada DEM SRTM 30 m (tersedia di EE sebagai USGS/SRTMGL1_003). Kumpulan Data, Bentuk Lahan, dan … Geomorphology yang Relevan secara Ekologis (ERGo) dari Conservation Science Partners (CSP)
[null,null,[],[[["\u003cp\u003eThe SRTM CHILI dataset provides a global index of heat-insolation load, ranging from 0 (very cool) to 255 (very warm), derived from the SRTM DEM.\u003c/p\u003e\n"],["\u003cp\u003eThis dataset, developed by Conservation Science Partners, is intended for climate adaptation planning and ecological analysis.\u003c/p\u003e\n"],["\u003cp\u003eCHILI represents the effects of insolation and topographic shading on evapotranspiration, calculated at early afternoon sun altitude equivalent to equinox.\u003c/p\u003e\n"],["\u003cp\u003eIt is available at a 90-meter resolution and covers the period from January 24, 2006, to May 13, 2011.\u003c/p\u003e\n"],["\u003cp\u003eThe data is licensed under CC-BY-NC-SA-4.0.\u003c/p\u003e\n"]]],["The dataset, available from 2006-01-24 to 2011-05-13, provided by Conservation Science Partners, features the SRTM-derived CHILI index within the ERGo dataset. CHILI, a measure of insolation's impact on evapotranspiration, ranges from 0 (cool) to 255 (warm), based on a 30m SRTM DEM. Accessible via Earth Engine, it offers landform and physiographic data for climate adaptation planning. The pixel size is 90 meters and is offered under a CC-BY-NC-SA-4.0 license.\n"],null,["# Global SRTM CHILI (Continuous Heat-Insolation Load 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) [global](/earth-engine/datasets/tags/global) [landforms](/earth-engine/datasets/tags/landforms) [slope](/earth-engine/datasets/tags/slope) [topography](/earth-engine/datasets/tags/topography) \n\n#### Description\n\nCHILI is a surrogate for effects of insolation and topographic shading on\nevapotranspiration represented by calculating insolation at early afternoon,\nsun altitude equivalent to equinox. It is based on the 30m SRTM DEM\n(available in EE as USGS/SRTMGL1_003).\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 | Min | Max | Pixel Size | Description |\n|------------|-----|-----|------------|--------------------------------------------------------------------------------------------------------------------------------------|\n| `constant` | 0 | 255 | meters | SRTM-derived CHILI index ranging from 0 (very cool) to 255 (very warm). This was rescaled from the \\[0,1\\] range in the publication. |\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/Global/SRTM_CHILI');\nvar srtmChili = dataset.select('constant');\nvar srtmChiliVis = {\n min: 0.0,\n max: 255.0,\n};\nMap.setCenter(-105.8636, 40.3439, 11);\nMap.addLayer(srtmChili, srtmChiliVis, 'SRTM CHILI');\n```\n[Open in Code Editor](https://code.earthengine.google.com/?scriptPath=Examples:Datasets/CSP/CSP_ERGo_1_0_Global_SRTM_CHILI) \n[Global SRTM CHILI (Continuous Heat-Insolation Load Index)](/earth-engine/datasets/catalog/CSP_ERGo_1_0_Global_SRTM_CHILI) \nCHILI is a surrogate for effects of insolation and topographic shading on evapotranspiration represented by calculating insolation at early afternoon, sun altitude equivalent to equinox. It is based on the 30m SRTM DEM (available in EE as USGS/SRTMGL1_003). The Conservation Science Partners (CSP) Ecologically Relevant Geomorphology (ERGo) Datasets, Landforms and ... \nCSP/ERGo/1_0/Global/SRTM_CHILI, aspect,csp,elevation,elevation-topography,ergo,geophysical,global,landforms,slope,topography \n2006-01-24T00:00:00Z/2011-05-13T00:00:00Z \n-90 -180 90 180 \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_Global_SRTM_CHILI)"]]
