MODIS LST monthly daytime and nighttime low (0.05), median (0.50) and high (0.95) temperatures for year 2015 at 1-km
Layers include: Land Surface Temperature daytime low (0.05), median (0.50) and high (0.95) temperatures for the year 2015. Derived using the data.table package and quantile function in R . For more info about the MODIS LST product see: https://lpdaac.usgs.gov/dataset_discovery/modis/modis_products_t...
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ftzenodo:oai:zenodo.org:4527034 2024-09-15T17:40:48+00:00 MODIS LST monthly daytime and nighttime low (0.05), median (0.50) and high (0.95) temperatures for year 2015 at 1-km Hengl, T. Parente, L. 2021-02-09 https://doi.org/10.5281/zenodo.4527034 eng eng Zenodo https://doi.org/10.5281/zenodo.4527033 https://doi.org/10.5281/zenodo.4527034 oai:zenodo.org:4527034 info:eu-repo/semantics/openAccess Creative Commons Attribution 4.0 International https://creativecommons.org/licenses/by/4.0/legalcode MOD11A2 Land Surface Temperature OpenLandMap info:eu-repo/semantics/other 2021 ftzenodo https://doi.org/10.5281/zenodo.452703410.5281/zenodo.4527033 2024-07-26T13:16:23Z Layers include: Land Surface Temperature daytime low (0.05), median (0.50) and high (0.95) temperatures for the year 2015. Derived using the data.table package and quantile function in R . For more info about the MODIS LST product see: https://lpdaac.usgs.gov/dataset_discovery/modis/modis_products_table/mod11a2_v006 . Antarctica is not included. To access and visualize maps use: OpenLandMap.org To download and compute with maps using Cloud-Optimized-GeoTIFF see this tutorial . If you discover a bug, artifact or inconsistency in the OpenLandMap maps, or if you have a question please use some of the following channels: Technical issues and questions about the code: https://gitlab.com/openlandmap/global-layers/-/issues General questions and comments: https://disqus.com/home/forums/landgis/ All files internally compressed using "COMPRESS=DEFLATE" creationoption in GDAL. File naming convention: clm = theme: climate, lst = variable: land surface temperature, mod11a2.daytime = determination method: MOD11A2 product, day time values, d = median value / sd = standard deviation / u.95 = aggregation/statisticsmethod: 95% probabilityupper quantile, 1km = spatial resolution / block support: 1 km, s0.0cm = vertical reference: land surface, 2000.2020 = time reference: from 2000 to 2020, v1.1 = version number: 1.1, This work has received funding from the European Union's the Innovation and Networks Executive Agency (INEA) under Grant Agreement Connecting Europe Facility (CEF) Telecom project 2018-EU-IA-0095 (https://ec.europa.eu/inea/en/connecting-europe-facility/cef-telecom/2018-eu-ia-0095). Other/Unknown Material Antarc* Antarctica Zenodo |
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Open Polar |
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English |
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MOD11A2 Land Surface Temperature OpenLandMap |
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MOD11A2 Land Surface Temperature OpenLandMap Hengl, T. Parente, L. MODIS LST monthly daytime and nighttime low (0.05), median (0.50) and high (0.95) temperatures for year 2015 at 1-km |
topic_facet |
MOD11A2 Land Surface Temperature OpenLandMap |
description |
Layers include: Land Surface Temperature daytime low (0.05), median (0.50) and high (0.95) temperatures for the year 2015. Derived using the data.table package and quantile function in R . For more info about the MODIS LST product see: https://lpdaac.usgs.gov/dataset_discovery/modis/modis_products_table/mod11a2_v006 . Antarctica is not included. To access and visualize maps use: OpenLandMap.org To download and compute with maps using Cloud-Optimized-GeoTIFF see this tutorial . If you discover a bug, artifact or inconsistency in the OpenLandMap maps, or if you have a question please use some of the following channels: Technical issues and questions about the code: https://gitlab.com/openlandmap/global-layers/-/issues General questions and comments: https://disqus.com/home/forums/landgis/ All files internally compressed using "COMPRESS=DEFLATE" creationoption in GDAL. File naming convention: clm = theme: climate, lst = variable: land surface temperature, mod11a2.daytime = determination method: MOD11A2 product, day time values, d = median value / sd = standard deviation / u.95 = aggregation/statisticsmethod: 95% probabilityupper quantile, 1km = spatial resolution / block support: 1 km, s0.0cm = vertical reference: land surface, 2000.2020 = time reference: from 2000 to 2020, v1.1 = version number: 1.1, This work has received funding from the European Union's the Innovation and Networks Executive Agency (INEA) under Grant Agreement Connecting Europe Facility (CEF) Telecom project 2018-EU-IA-0095 (https://ec.europa.eu/inea/en/connecting-europe-facility/cef-telecom/2018-eu-ia-0095). |
format |
Other/Unknown Material |
author |
Hengl, T. Parente, L. |
author_facet |
Hengl, T. Parente, L. |
author_sort |
Hengl, T. |
title |
MODIS LST monthly daytime and nighttime low (0.05), median (0.50) and high (0.95) temperatures for year 2015 at 1-km |
title_short |
MODIS LST monthly daytime and nighttime low (0.05), median (0.50) and high (0.95) temperatures for year 2015 at 1-km |
title_full |
MODIS LST monthly daytime and nighttime low (0.05), median (0.50) and high (0.95) temperatures for year 2015 at 1-km |
title_fullStr |
MODIS LST monthly daytime and nighttime low (0.05), median (0.50) and high (0.95) temperatures for year 2015 at 1-km |
title_full_unstemmed |
MODIS LST monthly daytime and nighttime low (0.05), median (0.50) and high (0.95) temperatures for year 2015 at 1-km |
title_sort |
modis lst monthly daytime and nighttime low (0.05), median (0.50) and high (0.95) temperatures for year 2015 at 1-km |
publisher |
Zenodo |
publishDate |
2021 |
url |
https://doi.org/10.5281/zenodo.4527034 |
genre |
Antarc* Antarctica |
genre_facet |
Antarc* Antarctica |
op_relation |
https://doi.org/10.5281/zenodo.4527033 https://doi.org/10.5281/zenodo.4527034 oai:zenodo.org:4527034 |
op_rights |
info:eu-repo/semantics/openAccess Creative Commons Attribution 4.0 International https://creativecommons.org/licenses/by/4.0/legalcode |
op_doi |
https://doi.org/10.5281/zenodo.452703410.5281/zenodo.4527033 |
_version_ |
1810486841703399424 |