MODIS LST monthly daytime and nighttime low (0.05), median (0.50) and high (0.95) temperatures for year 2006 at 1-km

Layers include: Land Surface Temperature daytime low (0.05), median (0.50) and high (0.95) temperatures for the year 2006. 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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Bibliographic Details
Main Authors: Hengl, T. (10108065), Parente, L. (10108068)
Format: Dataset
Language:unknown
Published: 2021
Subjects:
Online Access:https://doi.org/10.5281/zenodo.4513747
id ftsmithonian:oai:figshare.com:article/13726635
record_format openpolar
spelling ftsmithonian:oai:figshare.com:article/13726635 2023-05-15T13:56:58+02:00 MODIS LST monthly daytime and nighttime low (0.05), median (0.50) and high (0.95) temperatures for year 2006 at 1-km Hengl, T. (10108065) Parente, L. (10108068) 2021-02-06T00:00:00Z https://doi.org/10.5281/zenodo.4513747 unknown https://figshare.com/articles/dataset/MODIS_LST_monthly_daytime_and_nighttime_low_0_05_median_0_50_and_high_0_95_temperatures_for_year_2006_at_1-km/13726635 doi:10.5281/zenodo.4513747 CC BY 4.0 CC-BY Genetics Sociology Science Policy Plant Biology Biological Sciences not elsewhere classified MOD11A2 Land Surface Temperature OpenLandMap Dataset 2021 ftsmithonian https://doi.org/10.5281/zenodo.4513747 2021-02-26T12:02:17Z Layers include: Land Surface Temperature daytime low (0.05), median (0.50) and high (0.95) temperatures for the year 2006. 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" creation option 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/statistics method: 95% probability upper 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 Dataset Antarc* Antarctica Unknown
institution Open Polar
collection Unknown
op_collection_id ftsmithonian
language unknown
topic Genetics
Sociology
Science Policy
Plant Biology
Biological Sciences not elsewhere classified
MOD11A2
Land Surface Temperature
OpenLandMap
spellingShingle Genetics
Sociology
Science Policy
Plant Biology
Biological Sciences not elsewhere classified
MOD11A2
Land Surface Temperature
OpenLandMap
Hengl, T. (10108065)
Parente, L. (10108068)
MODIS LST monthly daytime and nighttime low (0.05), median (0.50) and high (0.95) temperatures for year 2006 at 1-km
topic_facet Genetics
Sociology
Science Policy
Plant Biology
Biological Sciences not elsewhere classified
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 2006. 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" creation option 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/statistics method: 95% probability upper 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
format Dataset
author Hengl, T. (10108065)
Parente, L. (10108068)
author_facet Hengl, T. (10108065)
Parente, L. (10108068)
author_sort Hengl, T. (10108065)
title MODIS LST monthly daytime and nighttime low (0.05), median (0.50) and high (0.95) temperatures for year 2006 at 1-km
title_short MODIS LST monthly daytime and nighttime low (0.05), median (0.50) and high (0.95) temperatures for year 2006 at 1-km
title_full MODIS LST monthly daytime and nighttime low (0.05), median (0.50) and high (0.95) temperatures for year 2006 at 1-km
title_fullStr MODIS LST monthly daytime and nighttime low (0.05), median (0.50) and high (0.95) temperatures for year 2006 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 2006 at 1-km
title_sort modis lst monthly daytime and nighttime low (0.05), median (0.50) and high (0.95) temperatures for year 2006 at 1-km
publishDate 2021
url https://doi.org/10.5281/zenodo.4513747
genre Antarc*
Antarctica
genre_facet Antarc*
Antarctica
op_relation https://figshare.com/articles/dataset/MODIS_LST_monthly_daytime_and_nighttime_low_0_05_median_0_50_and_high_0_95_temperatures_for_year_2006_at_1-km/13726635
doi:10.5281/zenodo.4513747
op_rights CC BY 4.0
op_rightsnorm CC-BY
op_doi https://doi.org/10.5281/zenodo.4513747
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