Long-term MODIS LST day-time and night-time temperatures, sd and differences at 1 km based on the 2000–2020 time series

Layers include: Land Surface Temperature daytime monthly median value 2000–2017, Land Surface Temperature daytime monthly sd value 2000–2017, Land Surface Temperature daytime monthly day-night difference 2000–2017. Derived using the data.table package and quantile function in R. We derived four stan...

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Bibliographic Details
Main Authors: Hengl, T., Parente, L.
Format: Dataset
Language:English
Published: 2022
Subjects:
Online Access:https://zenodo.org/record/6458406
https://doi.org/10.5281/zenodo.6458406
id ftzenodo:oai:zenodo.org:6458406
record_format openpolar
spelling ftzenodo:oai:zenodo.org:6458406 2023-05-15T13:44:01+02:00 Long-term MODIS LST day-time and night-time temperatures, sd and differences at 1 km based on the 2000–2020 time series Hengl, T. Parente, L. 2022-04-14 https://zenodo.org/record/6458406 https://doi.org/10.5281/zenodo.6458406 eng eng info:eu-repo/grantAgreement/EC/H2020/874850/ doi:10.5281/zenodo.4527051 doi:10.5281/zenodo.4500830 doi:10.5281/zenodo.1420114 https://zenodo.org/record/6458406 https://doi.org/10.5281/zenodo.6458406 oai:zenodo.org:6458406 info:eu-repo/semantics/openAccess https://creativecommons.org/licenses/by-sa/4.0/legalcode MODIS land surface temperature global OpenLandMap info:eu-repo/semantics/other dataset 2022 ftzenodo https://doi.org/10.5281/zenodo.645840610.5281/zenodo.452705110.5281/zenodo.450083010.5281/zenodo.1420114 2023-03-11T04:34:29Z Layers include: Land Surface Temperature daytime monthly median value 2000–2017, Land Surface Temperature daytime monthly sd value 2000–2017, Land Surface Temperature daytime monthly day-night difference 2000–2017. Derived using the data.table package and quantile function in R. We derived four standard statistics: (1) lower 2.5% probability (l.025), median (m), upper 97.5% probability (u.975) and standard deviation (sd). Updated long-term values for 2000–2022+ are pending. Includes also long-term trends (trend.logit.ols) which was produced by fitting regression models to de-seasonalized time-series as explained in this python tutorial. Basically models are fitted for each pixel and the model parameters are saved as images. For more info about the MODIS LST product see: https://lpdaac.usgs.gov/products/mod11a2v006/. Antarctica is not included. To access and visualize maps use: OpenLandMap.org If you discover a bug, artifact or inconsistency, 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.oct.day = determination method: MOD11A2 product, day time values for October, d = median value / sd = standard deviation / u.975 = aggregation/statistics method: 97.5% probability upper quantile, 1km = spatial resolution / block support: 1 km, s0.0cm = vertical reference: land surface, 2000.2017 = time reference: from 2000 to 2017, v1.0 = version number: 1.0, Processing steps are explained in detail at: https://gitlab.com/openlandmap/global-layers/-/tree/master/input_layers/MOD11A2 Dataset Antarc* Antarctica Zenodo
institution Open Polar
collection Zenodo
op_collection_id ftzenodo
language English
topic MODIS
land surface temperature
global
OpenLandMap
spellingShingle MODIS
land surface temperature
global
OpenLandMap
Hengl, T.
Parente, L.
Long-term MODIS LST day-time and night-time temperatures, sd and differences at 1 km based on the 2000–2020 time series
topic_facet MODIS
land surface temperature
global
OpenLandMap
description Layers include: Land Surface Temperature daytime monthly median value 2000–2017, Land Surface Temperature daytime monthly sd value 2000–2017, Land Surface Temperature daytime monthly day-night difference 2000–2017. Derived using the data.table package and quantile function in R. We derived four standard statistics: (1) lower 2.5% probability (l.025), median (m), upper 97.5% probability (u.975) and standard deviation (sd). Updated long-term values for 2000–2022+ are pending. Includes also long-term trends (trend.logit.ols) which was produced by fitting regression models to de-seasonalized time-series as explained in this python tutorial. Basically models are fitted for each pixel and the model parameters are saved as images. For more info about the MODIS LST product see: https://lpdaac.usgs.gov/products/mod11a2v006/. Antarctica is not included. To access and visualize maps use: OpenLandMap.org If you discover a bug, artifact or inconsistency, 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.oct.day = determination method: MOD11A2 product, day time values for October, d = median value / sd = standard deviation / u.975 = aggregation/statistics method: 97.5% probability upper quantile, 1km = spatial resolution / block support: 1 km, s0.0cm = vertical reference: land surface, 2000.2017 = time reference: from 2000 to 2017, v1.0 = version number: 1.0, Processing steps are explained in detail at: https://gitlab.com/openlandmap/global-layers/-/tree/master/input_layers/MOD11A2
format Dataset
author Hengl, T.
Parente, L.
author_facet Hengl, T.
Parente, L.
author_sort Hengl, T.
title Long-term MODIS LST day-time and night-time temperatures, sd and differences at 1 km based on the 2000–2020 time series
title_short Long-term MODIS LST day-time and night-time temperatures, sd and differences at 1 km based on the 2000–2020 time series
title_full Long-term MODIS LST day-time and night-time temperatures, sd and differences at 1 km based on the 2000–2020 time series
title_fullStr Long-term MODIS LST day-time and night-time temperatures, sd and differences at 1 km based on the 2000–2020 time series
title_full_unstemmed Long-term MODIS LST day-time and night-time temperatures, sd and differences at 1 km based on the 2000–2020 time series
title_sort long-term modis lst day-time and night-time temperatures, sd and differences at 1 km based on the 2000–2020 time series
publishDate 2022
url https://zenodo.org/record/6458406
https://doi.org/10.5281/zenodo.6458406
genre Antarc*
Antarctica
genre_facet Antarc*
Antarctica
op_relation info:eu-repo/grantAgreement/EC/H2020/874850/
doi:10.5281/zenodo.4527051
doi:10.5281/zenodo.4500830
doi:10.5281/zenodo.1420114
https://zenodo.org/record/6458406
https://doi.org/10.5281/zenodo.6458406
oai:zenodo.org:6458406
op_rights info:eu-repo/semantics/openAccess
https://creativecommons.org/licenses/by-sa/4.0/legalcode
op_doi https://doi.org/10.5281/zenodo.645840610.5281/zenodo.452705110.5281/zenodo.450083010.5281/zenodo.1420114
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