MLS-assisted validation of WorldView-2 panchromatic image for estimating Pinus sylvestris crown height

High spatial resolution satellite imaging has the advantages of both fine scale and large coverage that indicate the potential for measuring forest morphologies. However, because of the aerial view, imaging has limited capacity of explicitly deriving the under-crown structural parameters. A possible...

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Main Authors: Lin, Y., West, Geoff, Belton, David, Helmholz, Petra
Format: Journal Article
Published: Taylor & Francis 2015
Online Access:http://hdl.handle.net/20.500.11937/22146
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author Lin, Y.
West, Geoff
Belton, David
Helmholz, Petra
author_facet Lin, Y.
West, Geoff
Belton, David
Helmholz, Petra
author_sort Lin, Y.
building Curtin Institutional Repository
collection Online Access
description High spatial resolution satellite imaging has the advantages of both fine scale and large coverage that indicate the potential for measuring forest morphologies. However, because of the aerial view, imaging has limited capacity of explicitly deriving the under-crown structural parameters. A possible solution is to explore the relationships between this kind of variables such as crown height (CH) and the feature parameters readily derived from the satellite images. However, field sampling of the training data is not a trivial task. To handle this issue, this study attempted the state-of-the-art remote sensing technology of vehicle-based mobile laser scanning (MLS) for collecting the sample data. Evaluation for the case of the Scots pine (Pinus sylvestris) trees has preliminarily validated the plan. That is, MLS mapping enabled the parameter of CH to be estimated from WorldView-2 panchromatic images.
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format Journal Article
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institution Curtin University Malaysia
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last_indexed 2025-11-14T07:42:25Z
publishDate 2015
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spelling curtin-20.500.11937-221462017-09-13T13:51:03Z MLS-assisted validation of WorldView-2 panchromatic image for estimating Pinus sylvestris crown height Lin, Y. West, Geoff Belton, David Helmholz, Petra High spatial resolution satellite imaging has the advantages of both fine scale and large coverage that indicate the potential for measuring forest morphologies. However, because of the aerial view, imaging has limited capacity of explicitly deriving the under-crown structural parameters. A possible solution is to explore the relationships between this kind of variables such as crown height (CH) and the feature parameters readily derived from the satellite images. However, field sampling of the training data is not a trivial task. To handle this issue, this study attempted the state-of-the-art remote sensing technology of vehicle-based mobile laser scanning (MLS) for collecting the sample data. Evaluation for the case of the Scots pine (Pinus sylvestris) trees has preliminarily validated the plan. That is, MLS mapping enabled the parameter of CH to be estimated from WorldView-2 panchromatic images. 2015 Journal Article http://hdl.handle.net/20.500.11937/22146 10.1080/2150704X.2015.1011351 Taylor & Francis fulltext
spellingShingle Lin, Y.
West, Geoff
Belton, David
Helmholz, Petra
MLS-assisted validation of WorldView-2 panchromatic image for estimating Pinus sylvestris crown height
title MLS-assisted validation of WorldView-2 panchromatic image for estimating Pinus sylvestris crown height
title_full MLS-assisted validation of WorldView-2 panchromatic image for estimating Pinus sylvestris crown height
title_fullStr MLS-assisted validation of WorldView-2 panchromatic image for estimating Pinus sylvestris crown height
title_full_unstemmed MLS-assisted validation of WorldView-2 panchromatic image for estimating Pinus sylvestris crown height
title_short MLS-assisted validation of WorldView-2 panchromatic image for estimating Pinus sylvestris crown height
title_sort mls-assisted validation of worldview-2 panchromatic image for estimating pinus sylvestris crown height
url http://hdl.handle.net/20.500.11937/22146