Surface albedo impact on afforestation / reforestation carbon crediting projects

Purpose and usage This dataset was created to analyse the impact of surface albedo change on afforestation/reforestation/revegetation carbon crediting projects.

The python code used to perform the analysis is available on Github.

Data description Specific data The two zip files 'project_geospatial_data.zip' and 'project_description_reports.zip' gather all the public documentation, extracted from Verra's registry, that were used in the study.

The Excel file 'ARR_project_database.xlsx' contains all the specific data extracted to calculate the impact of surface albedo change. It presents the characteristics of each project as well as the treatment method to use the geospacial data files. See the tab #Read_me.

The following CSV are the one used to perform the calculation of the albedo impact:

proj_desc.csv : created from the tab #Desc_data in ARR_project_database. geodata_layers.csv : created from the tab #Geospacial_data in ARR_project_database. land_cover_type.csv : created from the tab #Land_cover_type in ARR_project_database. albedo_proxy_table.csv : created from the analysis of the surface albedo dataset. A land cover type can be approximate by another land cover type if the absolute difference between both is less 0.03 for a same location. This table provides the results for a global scale and for the land cover type consistent with the study. Global data The surface albedo dataset is under embargo for upcoming publication [E-mail contact adress : kathryn.loog@polymtl.ca].

The radiative kernel dataset for albedo is the one developped by Huang & Huang, 2023 (ERA5_kernel_alb_TOA. DOI:10.17632/vmg3s67568.3). All the data consistent with the study are gathered in the zip file 'radiative_kernel.zip'.