Monthly fraction of absorbed photosynthetically active radiation absorbed of Canada from Medium Resolution Satellite Imagery
Fraction of absorbed photosynthetically active radiation (fAPAR) quantified the absorbed by green foliage. fAPAR has been identified by the Global Climate Observing System as an essential climate variable required for ecosystem, weather and climate modelling and monitoring. This product consists of a national scale coverage (Canada) of monthly maps of fAPAR during a growing season (May-June-July-August-September) at 20m resolution.
References:
L. Brown, R. Fernandes, N. Djamai, C. Meier, N. Gobron, H. Morris, C. Canisius, G. Bai, C. Lerebourg, C. Lanconelli, M. Clerici, J. Dash. Validation of baseline and modified Sentinel-2 Level 2 Prototype Processor leaf area index retrievals over the United States IISPRS J. Photogramm. Remote Sens., 175 (2021), pp. 71-87, https://doi.org/10.1016/j.isprsjprs.2021.02.020. https://www.sciencedirect.com/science/article/pii/S0924271621000617
Richard Fernandes, Luke Brown, Francis Canisius, Jadu Dash, Liming He, Gang Hong, Lucy Huang, Nhu Quynh Le, Camryn MacDougall, Courtney Meier, Patrick Osei Darko, Hemit Shah, Lynsay Spafford, Lixin Sun, 2023.
Validation of Simplified Level 2 Prototype Processor Sentinel-2 fraction of canopy cover, fraction of absorbed photosynthetically active radiation and leaf area index products over North American forests,
Remote Sensing of Environment, Volume 293, https://doi.org/10.1016/j.rse.2023.113600.
https://www.sciencedirect.com/science/article/pii/S0034425723001517
Metadata
Date Created
2023-01-23
Date Published
2023-07-26
Temporal Coverage
2019-05-01 - Present
Access in last 30 days
5
All time access
1,260
Source(s) and Citation
Government of Canada;Natural Resources Canada;SPIS/CCMEO/CCRS. (2023-07-26). Monthly fraction of absorbed photosynthetically active radiation absorbed of Canada from Medium Resolution Satellite Imagery.
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Related keywords
climate variables, biophysical parameters, canopy cover, crops, trees, land cover
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