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Proceedings Paper

The design of a space-borne multispectral canopy lidar to estimate global carbon stock and gross primary productivity
Author(s): Jim Jack; Emal Rumi; David Henry; Iain Woodhouse; Caroline Nichol; Malcolm Macdonald
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Paper Abstract

Understanding the dynamics of the global carbon cycle is one of the most challenging issues for the scientific community. The ability to measure the magnitude of terrestrial carbon sinks as well as monitoring the short and long term changes is vital for environmental decision making. Forests form a significant part of the terrestrial biosystem and understanding the global carbon cycle, Above Ground Biomass (AGB) and Gross Primary Productivity (GPP) are critical parameters. Current estimates of AGB and GPP are not adequate to support models of the global carbon cycle and more accurate estimates would improve predictions of the future and estimates of the likely behaviour of these sinks. Various vegetation indices have been proposed for the characterisation of forests including canopy height, canopy area, Normalised Difference Vegetation Index (NDVI) and Photochemical Reflectance Index (PRI). Both NDVI and PRI are obtained from a measure of reflectivity at specific wavelengths and have been estimated from passive measurements. The use of multi-spectral LiDAR to measure NDVI and PRI and their vertical distribution within the forest represents a significant improvement over current techniques. This paper describes an approach to the design of an advanced Multi- Spectral Canopy LiDAR, using four wavelengths for measuring the vertical profile of the canopy simultaneously. It is proposed that the instrument be placed on a satellite orbiting the Earth on a sun synchronous polar orbit to provide samples on a rectangular grid at an approximate separation of 1km with a suitable revisit frequency. The systems engineering concept design will be presented.

Paper Details

Date Published: 3 October 2011
PDF: 11 pages
Proc. SPIE 8176, Sensors, Systems, and Next-Generation Satellites XV, 81761O (3 October 2011); doi: 10.1117/12.898166
Show Author Affiliations
Jim Jack, The Univ. of Edinburgh (United Kingdom)
Emal Rumi, The Univ. of Edinburgh (United Kingdom)
David Henry, UK Astronomy Technology Ctr. (United Kingdom)
Iain Woodhouse, The Univ. of Edinburgh (United Kingdom)
Caroline Nichol, The Univ. of Edinburgh (United Kingdom)
Malcolm Macdonald, Univ. of Strathclyde (United Kingdom)


Published in SPIE Proceedings Vol. 8176:
Sensors, Systems, and Next-Generation Satellites XV
Roland Meynart; Steven P. Neeck; Haruhisa Shimoda, Editor(s)

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