Published February 11, 2025 | Version v2
Journal article Open

Three global Vcmax products and one global leaf chlorophyll content products from satellite observations

Creators

  • 1. School of Geographical Sciences, Fujian Normal University, Fuzhou, China; Dept. of Geography and Planning, University of Toronto, Toronto, Canada
  • 2. School of Geographical Sciences, Fujian Normal University, Fuzhou, China
  • 3. Dept. of Geography and Planning, University of Toronto, Toronto, Canada
  • 4. Canada Center for Remote Sensing, Natural Resources Canada, Ottawa, Canada
  • 5. School of Biosciences, University of Sheffield, Sheffield, UK
  • 6. Dept. of Geography, National University of Singapore, Singapore
  • 7. Dept. of Earth System Science, Tsinghua University, Beijing, China
  • 8. Dept. of Biological Sciences, Texas Tech University, Lubbock, TX, USA
  • 9. Climate and Ecosystem Sciences Division, Lawrence Berkeley National Laboratory, Berkeley, CA, USA; Dept. of Environmental Science, Policy and Management, UC Berkeley, Berkeley, CA, USA
  • 10. Dept. of Lif Sciences, Imperial College London, Silwood Park Campus, Ascot, UK; Dept. of Earth System Science, Tsinghua University, Beijing, China; Dept. of Biological Sciences, Macquarie University, NSW, Australia
  • 11. International Institute of Earth System Science, Najing University, Nanjing, China
  • 12. Dept. of Lif Sciences, Imperial College London, Ascot, UK; Dept. of Biological Sciences, Macquarie University, NSW, Australia

Description

There are four files that could be found in this link, including:

1. Three global 0.5 degree Vcmax datasets at growth temperature included:

1) Vcmax from GOME-2 SIF: GOME2_Vcmax_Tg_05deg.tif
2) Vcmax from TROPOMI SIF + LCC: TROPOMI_Vmax_Tg_mean.mat
3) Vcmax from global leaf chlorophyll content (LCC) map (Croft et al., 2020, RSE): LCC_Vcmax_Tg_mean.mat

The geographic reference is the same for all three datasets, conforming to that in the geotiff file. 

2. One 0.1 degree global LCC dataset: 

4) 2003-2011 weekly LCC maps (Croft et al., 2020, RSE):  Chl_2003_2011_weeklyAll_01Deg_sf100.nc

The dimmension of the *.nc file is: 1800 lat x 3600 lon x 52 weeks x 9 years. 

A scaling facor of 100 is needed to conver pixel value to LCC value in μg/cm^2

For any questions on the dataset, please contact: 
Dr. Jing M. Chen
jing.chen@utoronto.ca

Files

Data Instructions.txt

Files (486.6 MB)

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Additional details

References