GHS population grid (R2023)
https://ghsl.jrc.ec.europa.eu/download.php?ds=pop
GHS-POP, epoch: 2020, resolution: 3 arcsec
Dataset: Pesaresi, Martino; Politis, Panagiotis (2023): GHS-BUILT-V R2023A - GHS built-up volume grids derived from joint assessment of Sentinel2, Landsat, and global DEM data, multitemporal (1975-2030). European Commission, Joint Research Centre (JRC) [Dataset] doi: 10.2905/AB2F107A-03CD-47A3-85E5-139D8EC63283 PID: http://data.europa.eu/89h/ab2f107a-03cd-47a3-85e5-139d8ec63283
Concept & Methodology: European Commission, GHSL Data Package 2023, Publications Office of the European Union, Luxembourg, 2023, ISBN 978-92-68-02341-9, doi:10.2760/098587, JRC133256
Essential methodological background: Pesaresi, M., Corbane, C., Ren, C., and Edward, N. (2021). Generalized Vertical Components of built-up areas from global Digital Elevation Models by multi-scale linear regression modelling. PLOS ONE 16, e0244478. https://doi.org/10.1371/journal.pone.0244478
Tree cover 2010
Hansen, M. C., Potapov, P. V., Moore, R., Hancher, M., Turubanova, S. A., Tyukavina, A., Thau, D., Stehman, S.V., Goetz, S.J., Loveland, T.R. & Kommareddy, A. (2013). High-resolution global maps of 21st-century forest cover change. Science, 342(6160), 850-853.
https://www.science.org/doi/abs/10.1126/science.1244693
**Global Aboveground and Belowground Biomass Carbon Density Maps for the Year 2010**
Spawn, S.A., Sullivan, C.C., Lark, T.J. et al. Harmonized global maps of above and belowground biomass carbon density in the year 2010. Sci Data 7, 112 (2020). doi:10.1038/s41597-020-0444-4
Spawn, S.A., and H.K. Gibbs. 2020. Global Aboveground and Belowground Biomass Carbon Density Maps for the Year 2010. ORNL DAAC, Oak Ridge, Tennessee, USA.
https://daac.ornl.gov/cgi-bin/dsviewer.pl?ds_id=1763
CO2 emissions from fossil fuel combustion, cement production and gas flaring.
Tomohiro Oda, Shamil Maksyutov (2015), ODIAC Fossil Fuel CO2 Emissions Dataset (Version name1: ODIACYYYY or ODIACYYYYa), Center for Global Environmental Research, National Institute for Environmental Studies, DOI:10.17595/20170411.001. (Reference date2: YYYY/MM/DD)
https://db.cger.nies.go.jp/dataset/ODIAC/DL_odiac2022.html
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