Picture of virus under microscope

Research under the microscope...

The Strathprints institutional repository is a digital archive of University of Strathclyde research outputs.

Strathprints serves world leading Open Access research by the University of Strathclyde, including research by the Strathclyde Institute of Pharmacy and Biomedical Sciences (SIPBS), where research centres such as the Industrial Biotechnology Innovation Centre (IBioIC), the Cancer Research UK Formulation Unit, SeaBioTech and the Centre for Biophotonics are based.

Explore SIPBS research

The design of a Space-borne multispectral canopy LiDAR to estimate global carbon stock and gross primary productivity

Rumi, Emal and Jack, James W and Henry, David M and Woodhouse, Iain and Nichol, Caroline and Macdonald, Malcolm (2011) The design of a Space-borne multispectral canopy LiDAR to estimate global carbon stock and gross primary productivity. In: Sensors, Systems & Next Generation Satellites. Sensors Systems & Next Generation Satellites, 8176 . SPIE--The International Society for Optical Engineering., Prague, Article 8176-61. ISBN 978-0-81948-803-9

[img] PDF
Macdonald_M_Pure_The_design_of_a_Space_borne_multispectral_canopy_LiDAR_to_estimate_global_carbon_stock_and_gross_primary_productivity_Sep_2011.pdf - Preprint

Download (587kB)

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.