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FAPAR Image of Florida and Southeastern USA – October 10th, 2009

25.7N 80.1W

October 10th, 2009 Category: Climate Change, Image of the day

Florida, USA - October 8th, 2009

Florida, USA - October 8th, 2009

FAPAR images such as this one, which focuses on the state of Florida, USA, indicate the photosynthetically active radiation absorbed by vegetation canopies. This false-colored image was generated by a new Chelys processor that processed and extracted the FAPAR index from raw data in just a few seconds.

The red regions correspond to agricultural zones for which there is high photosynthetic activity and therefore vegetation productivity and yellow to white areas indicate a low degree of photosynthetic activity.

FAPAR images are used to to monitor the state of and changes in the Earth’s vegetation cover. The image shows the states of South Carolina, Georgia and Florida, as well as parts of North Carolina, Tennessee and Alabama, in the southeastern United States. Several islands of the Bahamas are also visible.

New FAPAR/MGVI Raw Data Processor for Monitoring Vegetation Cover

October 2nd, 2009 Category: Climate Change, Earth Observation, Image of the day, Mosaics

FAPAR Index - Source and Processed products

FAPAR Index - Source and Processed products

FAPAR - Source Product

FAPAR - Source Product

FAPAR - Processed Product

FAPAR - Processed Product

Envisat’s Medium Resolution Imaging Spectrometer (MERIS) acquires multi-spectral imagery of the Earth, and is used to monitor the state and evolution of the terrestrial vegetation cover.

In particular, the MERIS Global Vegetation Index (MGVI), which corresponds to the Fraction of Absorbed Photosynthetically Active Radiation (FAPAR), is generated operationally as a standard level-2 product, using the radiation measured by MERIS over land surfaces.

This bio-geophysical product plays a critical role in the plant photosynthetic process and is regularly used in diagnostic and predictive models to compute the primary productivity of the vegetation canopies.

FAPAR has been established as a fundamental surface parameter by international organizations including the Global Climate Observing System (GCOS), charged with providing data on the Earth’s climate system.

Chelys has developed a new processor that is able to process and directly extract the FAPAR index from raw data (level-0) at a reduced or full resolution (but also from level-1), generating the relative false-colored image just a few seconds after the original data is ingested.

In the next few weeks, a processor that will systematically generate these vegetation index images will be incorporated in the SRRS (Satellite Rapid Response System). As soon as enough images have been collected, it will be possible to generate mosaics as well.

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