Normalized Difference Vegetation Index (NDVI) from MODIS data for Mauritania at 30 arc seconds (ca. 1000 meter) resolution (2019 - 2023).

Source data:

- MODIS/Terra Vegetation Indices 16-Day L3 Global 1 km SIN Grid (MOD13A2 v061): https://lpdaac.usgs.gov/products/mod13a2v061/

The Terra Moderate Resolution Imaging Spectroradiometer (MODIS) Vegetation Indices 16-Day (MOD13A2) Version 6.1 product provides Vegetation Index (VI) values at a per pixel basis at 1 kilometer (km) spatial resolution. There are two primary vegetation layers. The first is the Normalized Difference Vegetation Index (NDVI), which is referred to as the continuity index to the existing National Oceanic and Atmospheric Administration-Advanced Very High Resolution Radiometer (NOAA-AVHRR) derived NDVI. The second vegetation layer is the Enhanced Vegetation Index (EVI), which has improved sensitivity over high biomass regions. The algorithm for this product chooses the best available pixel value from all the acquisitions from the 16 day period. The criteria used is low clouds, low view angle and the highest NDVI/EVI value.

For the time period January 2019 - December 2023, the NDVI layer of the original data has been processed. Bad quality pixels or pixels with snow/ice and/or cloud cover have been masked using the provided quality assurance (QA) layers and appear as "no data". These 16-Day data are then aggregated to monthly temporal resolution using the maximum and reprojected to Latitude-Longitude/WGS84.

File naming:

ndvi_filt_YYYY_MM_01T00_00_00.tif

e.g.: ndvi_filt_2023_12_01T00_00_00.tif

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

Pixel values:

NDVI * 10000

Scaled to Integer, example: value 6473 = 0.6473

Projection + EPSG code:

Latitude-Longitude/WGS84 (EPSG: 4326)

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 & Co. KG, Germany ( https://www.mundialis.de/ )

Contact:

mundialis GmbH & 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.