Published April 18, 2022
| Version v1_20220418
Journal article
Open
Three global products of leaf photosynthetic capacity derived from satellite observations
Authors/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 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.
For any questions on the dataset, please contact:
Dr. Jing M. Chen
jing.chen@utoronto.ca