Published January 18, 2024 | Version v1
Dataset Open

Dataset: Trees on smallholder farms and forest restoration are critical for Rwanda to achieve net zero emissions

  • 1. Department of Geosciences and Natural Resource Management, University of Copenhagen, Copenhagen, Denmark
  • 2. Centre for Geographic Information Systems and Remote Sensing, College of Science and Technology, University of Rwanda, Kigali, Rwanda
  • 3. World Agroforestry Centre (ICRAF), Kigali, Rwanda
  • 4. Laboratoire des Sciences du Climat et de l'Environnement, CEA/CNRS/UVSQ/Université Paris Saclay, Gif-sur-Yvette, France
  • 5. Department of Computer Science, University of Copenhagen, Copenhagen, Denmark
  • 6. Laboratoire Evolution et Diversité Biologique, CNRS, UPS, IRD, Université Paul Sabatier, Toulouse, France
  • 7. Pastoralisme Conseil, Caylus, France
  • 8. Centre for GIS and Remote Sensing, College of Science and Technology, University of Rwanda, Kigali, Rwanda
  • 9. Department of Spatial Planning, College of Science and Technology, University of Rwanda, Kigali, Rwanda
  • 10. Department of Geosciences and Natural Resource Management, University of Copenhagen, Copenhagen, Denmark)
  • 11. Rwanda Forestry Authority, Ngororero District, Butare, Rwanda
  • 12. Department of Earth Observation, Rwanda Space Agency, Kigali, Rwanda
  • 13. International Union for Conservation of Nature, Eastern and Southern Africa Region, Kigali, Rwanda
  • 14. College of Agriculture, Animal Science and Veterinary Medicine, University of Rwanda, Musanze, Rwanda
  • 15. Jet Propulsion Laboratory, California Institute of Technology, Pasadena, CA, 91109, USA

Description

The dataset contains results from the publication "Rwanda’s pathway to net zero empowering smallholder farmers and forest restoration", available online at: https://www.researchsquare.com/article/rs-3337982/v1. The content is composed of 8 files listed as the following (please see the Methods section of the publication for more details):

1. "Tree_Density_map_FARMLAND_2008.tif". This is a 100m resolution GeoTIFF file with a coordinate reference system of EPSG: 4326, containing the density (count or sum) of individual trees per ha in Rwandan farmlands, mapped using aerial images of Rwanda from 2008. 

2. "Tree_Density_map_FARMLAND_2019.tif". This is a 100m resolution GeoTIFF file with a coordinate reference system of EPSG: 4326, containing the density (count or sum) of individual trees per ha in Rwandan farmlands, mapped using WordlView satellite images of Rwanda from 2019. 

3. "Tree_Density_map_DEG_NAT_FOR_2008.tif". This is a 100m resolution GeoTIFF file with a coordinate reference system of EPSG: 4326, containing the density (count or sum) of individual trees per ha in Rwandan degraded natural forests, mapped using WordlView satellite images of Rwanda from 2008. 

4. "Tree_Density_map_DEG_NAT_FOR_2019.tif". This is a 100m resolution GeoTIFF file with a coordinate reference system of EPSG: 4326, containing the density (count or sum) of individual trees per ha in Rwandan degraded natural forests, mapped using WordlView satellite images of Rwanda from 2019. 

5. "AGC_FARMLAND_2008.tif". This is a 100m resolution GeoTIFF file with a coordinate reference system of EPSG: 4326, containing the estimated Aboveground Carbon stock per (Mg C ha) for individual trees in Rwandan farmlands for 2008.

6. "AGC_FARMLAND_2019.tif". This is a 100m resolution GeoTIFF file with a coordinate reference system of EPSG: 4326, containing the estimated Aboveground Carbon stock per (Mg C ha) for individual trees in Rwandan farmlands for 2019.

7. "AGC_DEG_NAT_FOR_2008.tif". This is a 100m resolution GeoTIFF file with a coordinate reference system of EPSG: 4326, containing the estimated Aboveground Carbon stock per (Mg C ha) for individual trees in Rwandan degraded natural forests for 2008.

8. "AGC_DEG_NAT_FOR_2019.tif". This is a 100m resolution GeoTIFF file with a coordinate reference system of EPSG: 4326, containing the estimated Aboveground Carbon stock per (Mg C ha) for individual trees in Rwandan degraded natural forests for 2019.

Note: Please note that the images have undergone specific preprocessing (especially due to differences in image sources and quality), which make the results presented here not directly comparabe to the results from  https://doi.org/10.1038/s41558-022-01544-w . Please see Methods section at https://www.researchsquare.com/article/rs-3337982/v1 for more elaborated details.

Files

AGC_DEG_NAT_FOR_2008.tif

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Additional details

Related works

Is metadata for
Publication: 10.1038/s43247-024-01278-x (DOI)

Funding

European Commission
TOFDRY - Trees outside forests in global drylands 947757
European Commission
DESIRA - Digitisation: Economic and Social Impacts in Rural Areas 818194