A Forest Attribute Mapping Framework: A Pilot Study in a Northern Boreal Forest, Northwest Territories, Canada
A methods framework is presented that utilizes field plots, airborne light detection and ranging (LiDAR), and spaceborne Geoscience Laser Altimeter System (GLAS) data to estimate forest attributes over a 20 Mha area in Northern Canada. The framework was implemented to scale up forest attribute model...
Published in: | Remote Sensing |
---|---|
Main Authors: | , , , , , |
Format: | Text |
Language: | English |
Published: |
Multidisciplinary Digital Publishing Institute
2018
|
Subjects: | |
Online Access: | https://doi.org/10.3390/rs10091338 |
id |
ftmdpi:oai:mdpi.com:/2072-4292/10/9/1338/ |
---|---|
record_format |
openpolar |
spelling |
ftmdpi:oai:mdpi.com:/2072-4292/10/9/1338/ 2023-08-20T04:08:50+02:00 A Forest Attribute Mapping Framework: A Pilot Study in a Northern Boreal Forest, Northwest Territories, Canada Craig Mahoney Ron J. Hall Chris Hopkinson Michelle Filiatrault Andre Beaudoin Qi Chen agris 2018-08-22 application/pdf https://doi.org/10.3390/rs10091338 EN eng Multidisciplinary Digital Publishing Institute Forest Remote Sensing https://dx.doi.org/10.3390/rs10091338 https://creativecommons.org/licenses/by/4.0/ Remote Sensing; Volume 10; Issue 9; Pages: 1338 LiDAR GLAS k-NN forest resource inventory Text 2018 ftmdpi https://doi.org/10.3390/rs10091338 2023-07-31T21:41:23Z A methods framework is presented that utilizes field plots, airborne light detection and ranging (LiDAR), and spaceborne Geoscience Laser Altimeter System (GLAS) data to estimate forest attributes over a 20 Mha area in Northern Canada. The framework was implemented to scale up forest attribute models from field data to intersecting airborne LiDAR data, and then to GLAS footprints. GLAS data were sequentially filtered and submitted to the k-nearest neighbour (k-NN) imputation algorithm to yield regional estimates of stand height and crown closure at a 30 m resolution. Resulting outputs were assessed against independent airborne LiDAR data to evaluate regional estimates of stand height (mean difference = −1 m, RMSE = 5 m) and crown closure (mean difference = −5%, RMSE = 9%). Additional assessments were performed as a function of dominant vegetation type and ecoregion to further evaluate regional products. These attributes form the primary descriptive structure attributes that are typical of forest inventory mapping programs, and provide insight into how they can be derived in northern boreal regions where field information and physical access is often limited. Text Northwest Territories MDPI Open Access Publishing Northwest Territories Canada Remote Sensing 10 9 1338 |
institution |
Open Polar |
collection |
MDPI Open Access Publishing |
op_collection_id |
ftmdpi |
language |
English |
topic |
LiDAR GLAS k-NN forest resource inventory |
spellingShingle |
LiDAR GLAS k-NN forest resource inventory Craig Mahoney Ron J. Hall Chris Hopkinson Michelle Filiatrault Andre Beaudoin Qi Chen A Forest Attribute Mapping Framework: A Pilot Study in a Northern Boreal Forest, Northwest Territories, Canada |
topic_facet |
LiDAR GLAS k-NN forest resource inventory |
description |
A methods framework is presented that utilizes field plots, airborne light detection and ranging (LiDAR), and spaceborne Geoscience Laser Altimeter System (GLAS) data to estimate forest attributes over a 20 Mha area in Northern Canada. The framework was implemented to scale up forest attribute models from field data to intersecting airborne LiDAR data, and then to GLAS footprints. GLAS data were sequentially filtered and submitted to the k-nearest neighbour (k-NN) imputation algorithm to yield regional estimates of stand height and crown closure at a 30 m resolution. Resulting outputs were assessed against independent airborne LiDAR data to evaluate regional estimates of stand height (mean difference = −1 m, RMSE = 5 m) and crown closure (mean difference = −5%, RMSE = 9%). Additional assessments were performed as a function of dominant vegetation type and ecoregion to further evaluate regional products. These attributes form the primary descriptive structure attributes that are typical of forest inventory mapping programs, and provide insight into how they can be derived in northern boreal regions where field information and physical access is often limited. |
format |
Text |
author |
Craig Mahoney Ron J. Hall Chris Hopkinson Michelle Filiatrault Andre Beaudoin Qi Chen |
author_facet |
Craig Mahoney Ron J. Hall Chris Hopkinson Michelle Filiatrault Andre Beaudoin Qi Chen |
author_sort |
Craig Mahoney |
title |
A Forest Attribute Mapping Framework: A Pilot Study in a Northern Boreal Forest, Northwest Territories, Canada |
title_short |
A Forest Attribute Mapping Framework: A Pilot Study in a Northern Boreal Forest, Northwest Territories, Canada |
title_full |
A Forest Attribute Mapping Framework: A Pilot Study in a Northern Boreal Forest, Northwest Territories, Canada |
title_fullStr |
A Forest Attribute Mapping Framework: A Pilot Study in a Northern Boreal Forest, Northwest Territories, Canada |
title_full_unstemmed |
A Forest Attribute Mapping Framework: A Pilot Study in a Northern Boreal Forest, Northwest Territories, Canada |
title_sort |
forest attribute mapping framework: a pilot study in a northern boreal forest, northwest territories, canada |
publisher |
Multidisciplinary Digital Publishing Institute |
publishDate |
2018 |
url |
https://doi.org/10.3390/rs10091338 |
op_coverage |
agris |
geographic |
Northwest Territories Canada |
geographic_facet |
Northwest Territories Canada |
genre |
Northwest Territories |
genre_facet |
Northwest Territories |
op_source |
Remote Sensing; Volume 10; Issue 9; Pages: 1338 |
op_relation |
Forest Remote Sensing https://dx.doi.org/10.3390/rs10091338 |
op_rights |
https://creativecommons.org/licenses/by/4.0/ |
op_doi |
https://doi.org/10.3390/rs10091338 |
container_title |
Remote Sensing |
container_volume |
10 |
container_issue |
9 |
container_start_page |
1338 |
_version_ |
1774721364188463104 |