Driving an ecosystem simulation model with spatial estimates of LAI
Driving an ecosystem simulation model with spatial estimates of LAI
Ground and remotely sensed data were collected between 1994 and 1998 as part of the BOReal Ecosystem-Atmosphere Study (BOREAS) and Boreal Ecosystem Research and Monitoring Sites (BERMS) initiatives in northern Canada. A pilot investigation 'optimised' the FOREST-BGC (Bio Geochemical Cycling) ESM to obtain accurate estimates of NPP for a number of BOREAS sites and ascertained model sensitivity to input variables. Subsequently, FOREST-BGC was 'automated' using remotely sensed estimates of leaf area index (LAI) from the Landsat Thematic Mapper (TM) sensor, in order to produce a 20 km2 map of NPP. The pilot study emphasised the need for accurate spatial estimates of LAI. Consequently, three refinements were investigated with the aim of maximising the accuracy with which remotely sensed data could be used to estimate boreal forest LAI:
First, the joint issues of scale and the choice of an optimum sampling unit for forested landscapes were investigated through the development of a new technique for the partitioning of remotely sensed images into relatively homogeneous 'areal sampling units' (ASU).
Second, three alternative methods for producing spatially-extensive estimates of LAI were explored: Aspatial regression, cokriging and conditional simulation.
Third, the potential of using radiation acquired by the Advanced Very High Resolution Radiometer satellite sensor was assessed by investigating the relationship between LAI and several spectral vegetation indices.
The final phase of this research explored the impact of future climates on the carbon budget of the boreal forest. It was concluded that driving FOREST-BGC with accurate spatial estimates of LAI derived from remotely sensed data is a powerful tool with which to gain a quantitative understanding of current and future biogeochemical cycling through the boreal forest ecosystem.
University of Southampton
Wicks, Toby Edmund
bec3d32c-f106-44b1-8e8c-b27c1a43dde9
2000
Wicks, Toby Edmund
bec3d32c-f106-44b1-8e8c-b27c1a43dde9
Wicks, Toby Edmund
(2000)
Driving an ecosystem simulation model with spatial estimates of LAI.
University of Southampton, Doctoral Thesis.
Record type:
Thesis
(Doctoral)
Abstract
Ground and remotely sensed data were collected between 1994 and 1998 as part of the BOReal Ecosystem-Atmosphere Study (BOREAS) and Boreal Ecosystem Research and Monitoring Sites (BERMS) initiatives in northern Canada. A pilot investigation 'optimised' the FOREST-BGC (Bio Geochemical Cycling) ESM to obtain accurate estimates of NPP for a number of BOREAS sites and ascertained model sensitivity to input variables. Subsequently, FOREST-BGC was 'automated' using remotely sensed estimates of leaf area index (LAI) from the Landsat Thematic Mapper (TM) sensor, in order to produce a 20 km2 map of NPP. The pilot study emphasised the need for accurate spatial estimates of LAI. Consequently, three refinements were investigated with the aim of maximising the accuracy with which remotely sensed data could be used to estimate boreal forest LAI:
First, the joint issues of scale and the choice of an optimum sampling unit for forested landscapes were investigated through the development of a new technique for the partitioning of remotely sensed images into relatively homogeneous 'areal sampling units' (ASU).
Second, three alternative methods for producing spatially-extensive estimates of LAI were explored: Aspatial regression, cokriging and conditional simulation.
Third, the potential of using radiation acquired by the Advanced Very High Resolution Radiometer satellite sensor was assessed by investigating the relationship between LAI and several spectral vegetation indices.
The final phase of this research explored the impact of future climates on the carbon budget of the boreal forest. It was concluded that driving FOREST-BGC with accurate spatial estimates of LAI derived from remotely sensed data is a powerful tool with which to gain a quantitative understanding of current and future biogeochemical cycling through the boreal forest ecosystem.
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Published date: 2000
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Local EPrints ID: 466995
URI: http://eprints.soton.ac.uk/id/eprint/466995
PURE UUID: 647752d0-f012-43ce-906e-f8d060209f88
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Date deposited: 05 Jul 2022 08:06
Last modified: 16 Mar 2024 20:55
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Author:
Toby Edmund Wicks
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