Our studies produce a lot of data sets which we are happy to share. Please do not hesitate to download the data here, and if you plan to use it or have any questions, you may send me a message. Please see our papers for a detailed data set description. Note that our woody cover maps are not comparable with tree and forest cover maps, since they represent the full range of woody vegetation, no matter of scattered or small in size.

Download the data here:

Carbon density Africa 2010–2016

This data set is from our Nature Ecology & Evolution paper in 2018. It is derived from SMOS-IC L-VOD and converted to carbon density (kg/ha) at 25 km resolution. Please note that this version of the maps is a bit outdated and new versions are corrected for some errors.

Woody cover Sahel (100 m)

This is the data set from our Nature Geoscience paper from 2018. It is a very accurate woody cover map of the western Sahel and Sudan at 100 m resolution, reflecting the situation around 2016. It is based on DigitalGlobe imagery, ProbaV time series and ALOS PALSAR.

Woody cover Sahel (1 km)

This woody cover map covering the entire Sahel was created with field data and SPOT-VGT seasonal metrics at 1 km resolution, published in Remote Sensing of Environment. The quality is much less good as the map at 100 m, so I recommend using the 100 m map if possible.

Woody cover Africa 1992–2011

These woody cover maps have a resolution of 25 km and are much less accurate than the 100 m and 1 km maps, however, they are dynamic covering the period 1992-2011. While the general patterns are realistic, it may be used with caution at local scale. The maps are derived from VOD provided by Yi Liu and were created within our Nature Ecology & Evolution study in 2017. Note that the version here is a bit modified towards the published one, le me know if there are some issues.

Woody foliage and herbaceous mass Sahel 1992-2012

These maps cover the Sahel from 1992-2012 and provide annual values in kg/ha for woody foliage and herbaceous mass, published in Communications Biology. The resolution is coarse (25 km) but the trends and patterns provide great insight in changes over time. The maps can also be used to calculate the annual carbon stocks in green vegetation (multiply the density unit with the 25×25 km grid area). To be uploaded soon!