Edinburgh Research Explorer

The design of a Space-borne Multispectral Canopy LiDAR to Estimate Global Carbon Stock and Gross Primary Productivity

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Related Edinburgh Organisations

Open Access permissions

Open

Documents

  • Download as Adobe PDF

    Rights statement: Copyright (2011) Society of Photo-Optical Instrumentation Engineers. One print or electronic copy may be made for personal use only. Systematic reproduction and distribution, duplication of any material in this paper for a fee or for commercial purposes, or modification of the content of the paper are prohibited.

    Accepted author manuscript, 1 MB, PDF document

Original languageEnglish
Title of host publicationSENSORS, SYSTEMS, AND NEXT-GENERATION SATELLITES XV
EditorsR Meynart, SP Neeck, H Shimoda
Place of PublicationBELLINGHAM
PublisherSPIE
Pages-
Number of pages11
ISBN (Print)978-0-81948-803-9
DOIs
Publication statusPublished - 2011
EventConference on Sensors, Systems, and Next-Generation Satellites XV - Prague
Duration: 19 Sep 201122 Sep 2011

Conference

ConferenceConference on Sensors, Systems, and Next-Generation Satellites XV
CityPrague
Period19/09/1122/09/11

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.

    Research areas

  • Light Detection And Ranging (LiDAR), Photochemical Reflectance Index (PRI), Normalized Difference Vegetation (NDVI), Canopy, Above Ground Biomass (AGB), Carbon Stock, Gross Primary Productivity (GPP), LIGHT-USE EFFICIENCY, VEGETATION, RADIATION, FOREST, INDEX

Event

Conference on Sensors, Systems, and Next-Generation Satellites XV

19/09/1122/09/11

Prague

Event: Conference

Download statistics

No data available

ID: 1333670