Długoterminowe odchylenie standardowe temperatury powierzchni lądu MODIS w dzień i w nocy w rozdzielczości 1 km na podstawie szeregu czasowego z lat 2000–2017.
Długoterminowe dane MODIS LST dotyczące temperatury w dzień i w nocy, odchylenia standardowego i różnic
w rozdzielczości 1 km na podstawie szeregu czasowego z lat 2000–2017
10.5281/zenodo.1420115
Odchylenie standardowe długoterminowych temperatur MODIS LST w dzień i w nocy w rozdzielczości 1 km na podstawie szeregu czasowego z lat 2000–2017. Wyprowadzone przy użyciu pakietu data.table i funkcji kwantyl w R. Więcej informacji o produkcie MODIS LST znajdziesz na tej stronie. Antarktyda nie jest uwzględniona. Aby uzyskać dostęp do map i wyświetlać je poza …
[null,null,[],[[["\u003cp\u003eThis dataset provides long-term (2000-2017) MODIS Land Surface Temperature (LST) daytime monthly standard deviation at a 1 km resolution.\u003c/p\u003e\n"],["\u003cp\u003eIt is derived using the data.table package and quantile function in R, excluding Antarctica.\u003c/p\u003e\n"],["\u003cp\u003eThe data is available for each month (January to December) as separate bands and is accessible through Google Earth Engine.\u003c/p\u003e\n"],["\u003cp\u003eUsers can visualize maps outside of Earth Engine using OpenGeohub.\u003c/p\u003e\n"],["\u003cp\u003eThe dataset is licensed under CC-BY-SA-4.0.\u003c/p\u003e\n"]]],["This dataset provides long-term MODIS Land Surface Temperature (LST) daytime monthly standard deviations at a 1km resolution, from 2000 to 2017, excluding Antarctica. Data is provided monthly with a pixel size of 1000 meters, the units used are Kelvin(K), with a min value of 25 and a max value of 390, it can be accessed via Google Earth Engine, identified by the `OpenLandMap/CLM/CLM_LST_MOD11A2-DAY_SD/v01` asset ID. The dataset was derived using R's `data.table` package.\n"],null,["# OpenLandMap Long-term Land Surface Temperature Daytime Monthly Standard Deviation\n\nDataset Availability\n: 2000-01-01T00:00:00Z--2018-01-01T00:00:00Z\n\nDataset Provider\n:\n\n\n [EnvirometriX Ltd](https://doi.org/10.5281/zenodo.1420114)\n\nTags\n:\n[climate](/earth-engine/datasets/tags/climate) [envirometrix](/earth-engine/datasets/tags/envirometrix) [lst](/earth-engine/datasets/tags/lst) [mod11a2](/earth-engine/datasets/tags/mod11a2) [modis](/earth-engine/datasets/tags/modis) [monthly](/earth-engine/datasets/tags/monthly) [opengeohub](/earth-engine/datasets/tags/opengeohub) [openlandmap](/earth-engine/datasets/tags/openlandmap) \n\n#### Description\n\nLong-term MODIS LST day-time and night-time temperatures standard deviation\nat 1 km based on the 2000-2017 time series.\n\nDerived using the [data.table package and quantile function in R](https://gitlab.com/openlandmap/global-layers/tree/master/input_layers/MOD11A2).\nFor more info about the MODIS LST product see [this page](https://lpdaac.usgs.gov/products/mod11a2v006/).\nAntarctica is not included.\n\nTo access and visualize maps outside of Earth Engine, use [this page](https://opengeohub.org/about-openlandmap).\n\nIf you discover a bug, artifact or inconsistency in the LandGIS maps\nor if you have a question please use the following channels:\n\n- [Technical issues and questions about the code](https://gitlab.com/openlandmap/global-layers/issues)\n- [General questions and comments](https://disqus.com/home/forums/landgis/)\n\n### Bands\n\n\n**Pixel Size**\n\n1000 meters\n\n**Bands**\n\n| Name | Units | Min | Max | Scale | Pixel Size | Description |\n|-------|-------|------|-------|-------|------------|----------------------------------------------------------------------|\n| `jan` | K | 25\\* | 390\\* | 0.02 | meters | Long-term Land Surface Temperature daytime monthly stddev, January |\n| `feb` | K | 25\\* | 390\\* | 0.02 | meters | Long-term Land Surface Temperature daytime monthly stddev, February |\n| `mar` | K | 25\\* | 390\\* | 0.02 | meters | Long-term Land Surface Temperature daytime monthly stddev, March |\n| `apr` | K | 25\\* | 390\\* | 0.02 | meters | Long-term Land Surface Temperature daytime monthly stddev, April |\n| `may` | K | 25\\* | 390\\* | 0.02 | meters | Long-term Land Surface Temperature daytime monthly stddev, May |\n| `jun` | K | 25\\* | 390\\* | 0.02 | meters | Long-term Land Surface Temperature daytime monthly stddev, June |\n| `jul` | K | 25\\* | 390\\* | 0.02 | meters | Long-term Land Surface Temperature daytime monthly stddev, July |\n| `aug` | K | 25\\* | 390\\* | 0.02 | meters | Long-term Land Surface Temperature daytime monthly stddev, August |\n| `sep` | K | 25\\* | 390\\* | 0.02 | meters | Long-term Land Surface Temperature daytime monthly stddev, September |\n| `oct` | K | 25\\* | 390\\* | 0.02 | meters | Long-term Land Surface Temperature daytime monthly stddev, October |\n| `nov` | K | 25\\* | 390\\* | 0.02 | meters | Long-term Land Surface Temperature daytime monthly stddev, November |\n| `dec` | K | 25\\* | 390\\* | 0.02 | meters | Long-term Land Surface Temperature daytime monthly stddev, December |\n\n\\* estimated min or max value\n\n### Terms of Use\n\n**Terms of Use**\n\n[CC-BY-SA-4.0](https://spdx.org/licenses/CC-BY-SA-4.0.html)\n\n### Citations\n\nCitations:\n\n- Long-term MODIS LST day-time and night-time temperatures, sd and differences\n at 1 km based on the 2000-2017 time series\n [10.5281/zenodo.1420115](https://doi.org/10.5281/zenodo.1420114)\n\n### DOIs\n\n- \u003chttps://doi.org/10.5281/zenodo.1420114\u003e\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('OpenLandMap/CLM/CLM_LST_MOD11A2-DAY_SD/v01');\n\nvar visualization = {\n bands: ['jan'],\n min: 25.0,\n max: 390.0,\n palette: [\n '2828ff','2828ff','6666ff','8989ff','a1a1ff','b2b2ff',\n 'c0c0ff','cbcbff','d5d5ff','dedeff','e6e6ff','ededff',\n 'f5f5ff','ffffff','fcfcff','fffbfb','fff4f4','ffeded',\n 'ffe5e5','ffdddd','ffd4d4','ffcbcb','ffbfbf','ffb2b2',\n 'ffa1a1','ff8a8a','ff6767','ff2929',\n ]\n};\n\nMap.centerObject(dataset);\n\nMap.addLayer(dataset, visualization, 'Long-term Land Surface Temperature daytime monthly sd');\n```\n[Open in Code Editor](https://code.earthengine.google.com/?scriptPath=Examples:Datasets/OpenLandMap/OpenLandMap_CLM_CLM_LST_MOD11A2-DAY_SD_v01) \n[OpenLandMap Long-term Land Surface Temperature Daytime Monthly Standard Deviation](/earth-engine/datasets/catalog/OpenLandMap_CLM_CLM_LST_MOD11A2-DAY_SD_v01) \nLong-term MODIS LST day-time and night-time temperatures standard deviation at 1 km based on the 2000-2017 time series. Derived using the data.table package and quantile function in R. For more info about the MODIS LST product see this page. Antarctica is not included. To access and visualize maps outside of ... \nOpenLandMap/CLM/CLM_LST_MOD11A2-DAY_SD/v01, climate,envirometrix,lst,mod11a2,modis,monthly,opengeohub,openlandmap \n2000-01-01T00:00:00Z/2018-01-01T00:00:00Z \n-90 -180 90 180 \nGoogle Earth Engine \nhttps://developers.google.com/earth-engine/datasets\n\n- [https://doi.org/10.5281/zenodo.1420114](https://doi.org/https://doi.org/10.5281/zenodo.1420114)\n- [https://doi.org/10.5281/zenodo.1420114](https://doi.org/https://developers.google.com/earth-engine/datasets/catalog/OpenLandMap_CLM_CLM_LST_MOD11A2-DAY_SD_v01)"]]
