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Source data:
- MODIS/Terra Land Surface Temperature/Emissivity 8-Day L3 Global 1 km SIN Grid (MOD11A2 v061): https://lpdaac.usgs.gov/products/mod11a2v061/

The Terra Moderate Resolution Imaging Spectroradiometer (MODIS) Land Surface Temperature/Emissivity 8-Day (MOD11A2) Version 6.1 product provides an average 8-day per-pixel Land Surface Temperature and Emissivity (LST&amp;E) with a 1 kilometer (km) spatial resolution in a 1,200 by 1,200 km grid. Each pixel value in the MOD11A2 is a simple average of all the corresponding MOD11A1 LST pixels collected within that 8-day period. The 8-day compositing period was chosen because twice that period is the exact ground track repeat period of the Terra and Aqua platforms.

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File naming:
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e.g.: lst_day_monthly_2023_12_30arcsec.tif

The date within the filename are year and month of aggregated timestamp.

Pixel values:
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Projection + EPSG code:
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Spatial extent:
north: 28N
south: 14N
west: 18W
east: 4W

Temporal extent:
January 2019 - December 2023

Spatial resolution:
30 arc seconds (approx. 1000 m)

Temporal resolution:
monthly

Software used:
GRASS GIS 8.3.2

Format: GeoTIFF

Original dataset license:
All data products distributed by NASA's Land Processes Distributed Active Archive Center (LP DAAC) are available at no charge. The LP DAAC requests that any author using NASA data products in their work provide credit for the data, and any assistance provided by the LP DAAC, in the data section of the paper, the acknowledgement section, and/or as a reference. The recommended citation for each data product is available on its Digital Object Identifier (DOI) Landing page, which can be accessed through the Search Data Catalog interface. For more information see: https://lpdaac.usgs.gov/products/mod13a2v061/

Processed by:
mundialis GmbH &amp; Co. KG, Germany (https://www.mundialis.de/)

Contact:
mundialis GmbH &amp; Co. KG, info@mundialis.de

Acknowledgements:
This study was partially funded by EU grant 874850 MOOD. The contents of this publication are the sole responsibility of the authors and don't necessarily reflect the views of the European Commission.</gco:CharacterString>
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Bad quality pixels or pixels with snow/ice and/or cloud cover have been masked using the provided quality assurance (QA) layers. The time series has been gapfilled with a temporal and a spatial approach.</gco:CharacterString>
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