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Multi-scale analysis and validation of the Envisat MERIS Terrestrial Chlorophyll Index (MTCI) in woodland

Jadunandan Dash(1), Doreen Boyd(2), Samuel Almond(3) and Paul Curran(4)

(1) University of Southampton, School of Geography, Southampton, SO17 1BJ, United Kingdom
(2) University of Nottingham, School of Geography, Nottingham, NG7 2RD, United Kingdom
(3) Bournemouth University, School of Conservation Sciences, Poole, BH12 5BB, United Kingdom
(4) Bournemouth University, Office of the Vice-Chancellor, Poole, BH12 5BB, United Kingdom


Satellite remote sensing provides the opportunity to estimate and monitor key photosynthetic pigments such as chlorophyll content of vegetation canopies, which are a key and dynamic component of global ecosystems. The widely accepted red-edge algorithm, used to estimate chlorophyll content from remotely sensed data, is not suitable for use with satellite sensor imagery. To overcome this problem, the new Envisat MERIS Terrestrial Chlorophyll index (MTCI) has been developed. It is the only satellite chlorophyll index available for use and is available to users as a Level 2 product from the European Space Agency. However, there is a need to validate the MTCI. This paper reports on research that validates the MTCI via high resolution Compact Airborne Spectrographic Imager (CASI) imagery and Lidar point cloud data, adopting the methodology of Yang et al. (2006). The study site was predominantly woodland in the south of England (The New Forest National Park). The site provided a range of chlorophyll contents. A transfer function derived from CASI data was used to produce a reference map of chlorophyll content, which when aggregated was compared to MERIS data to produce an accuracy assessment of the MTCI.


Workshop presentation

Keywords: ESA European Space Agency - Agence spatiale europeenne, observation de la terre, earth observation, satellite remote sensing, teledetection, geophysique, altimetrie, radar, chimique atmospherique, geophysics, altimetry, radar, atmospheric chemistry