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TitleA Temporal and Spatial Scaling Method for Quantifying Daily Photosynthesis Using Remote Sensing Data
AuthorLiu, J; Chen, J M; Cihlar, J; Chen, WORCID logo; Sarich, M
Source20th Canadian Symposium on Remote Sensing, Calgary, Alberta, Canada, 10-13 May; 1998.
Alt SeriesEarth Sciences Sector, Contribution Series 20042850
AbstractRemote sensing is a unique approach to monitor the behavior of terrestrial ecosystems over large areas. Using remote sensed data and ancillary data, a process model, namely the Boreal Ecosystem Productivity Simulator (BEPS), has been developed to estimate net primary productivity (NPP). It becomes a challenge to incorporate a more advanced photosynthesis model, the best known Farquhar's model, into BEPS because the Farquhar model was initially developed for individual leaves at an instant of time. It is computationally and practically difficult for large area applications to use the model at the desired small time steps (minutes to hours). We have developed an analytical solution to the integral of Farquhar's model that allows us to calculate net photosynthesis rate at daily steps at the canopy level. This daily model is suitable for regional remote sensing applications at moderate resolutions (250-1000 m). It is shown that the integrated model greatly improves photosynthesis calculations.

Combining the integrated Farquhar model with remotely sensed LAI, FPAR, land cover type data from AVHRR, and soil and daily meteorological data, net primary productivity maps over the BOREAS region and Canada are produced at 1 km resolution.


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