Estimating tree height from TanDEM-X data at the northwestern Canadian treeline
The circum-Arctic transitional zone between forest and tundra, i.e. the treeline zone, is shifting northward due to current Arctic warming and, therefore, requires systematic monitoring. Up to now, radar remote sensing was hardly possible in the treeline zone due to spatial resolution and/or tempora...
Published in: | Remote Sensing of Environment |
---|---|
Main Authors: | , , , , , , , |
Format: | Other Non-Article Part of Journal/Newspaper |
Language: | English |
Published: |
Elsevier
2019
|
Subjects: | |
Online Access: | https://elib.dlr.de/131154/ https://elib.dlr.de/131154/1/Estimating%20tree%20height%20from%20TanDEM-X%20data%20at%20the%20northwestern%20Canadian%20treeline.pdf https://doi.org/10.1016/j.rse.2019.111251 |
id |
ftdlr:oai:elib.dlr.de:131154 |
---|---|
record_format |
openpolar |
spelling |
ftdlr:oai:elib.dlr.de:131154 2023-05-15T14:59:07+02:00 Estimating tree height from TanDEM-X data at the northwestern Canadian treeline Antonova, Sofia Thiel, Christian Höfle, Bernhard Anders, Katharina Helm, Veit Zwieback, Simon Marx, Sabrina Boike, Julia 2019-06-07 application/pdf https://elib.dlr.de/131154/ https://elib.dlr.de/131154/1/Estimating%20tree%20height%20from%20TanDEM-X%20data%20at%20the%20northwestern%20Canadian%20treeline.pdf https://doi.org/10.1016/j.rse.2019.111251 en eng Elsevier https://elib.dlr.de/131154/1/Estimating%20tree%20height%20from%20TanDEM-X%20data%20at%20the%20northwestern%20Canadian%20treeline.pdf Antonova, Sofia und Thiel, Christian und Höfle, Bernhard und Anders, Katharina und Helm, Veit und Zwieback, Simon und Marx, Sabrina und Boike, Julia (2019) Estimating tree height from TanDEM-X data at the northwestern Canadian treeline. Remote Sensing of Environment, 231, Seite 111251. Elsevier. DOI:10.1016/j.rse.2019.111251 <https://doi.org/10.1016/j.rse.2019.111251> ISSN 0034-4257 Bürgerwissenschaften Zeitschriftenbeitrag PeerReviewed 2019 ftdlr https://doi.org/10.1016/j.rse.2019.111251 2019-12-15T23:56:44Z The circum-Arctic transitional zone between forest and tundra, i.e. the treeline zone, is shifting northward due to current Arctic warming and, therefore, requires systematic monitoring. Up to now, radar remote sensing was hardly possible in the treeline zone due to spatial resolution and/or temporal decorrelation constraints of preceding satellite missions. The unique constellation of the TanDEM-X satellites with its bistatic mode and very high spatial resolution opens up opportunities for monitoring small (≥0.01 km2) and isolated patches of very sparse forest which are typical for the transitional zone. We focused on an area at the northern edge of the treeline zone in the Northwest Territories, Canada, and evaluated the potential of TanDEM-X bistatic data to characterize the tree height in the forest patches in this region. TanDEM-X data were acquired during the TanDEM-X Science Phase in 2015, when the perpendicular baseline was large (corresponding to the height of ambiguity of approximately 14.6 m) and kept constant. We employed TanDEM-X backscatter, bistatic coherence, and interferometric height from the stack of seven multitemporal bistatic pairs and compared them to maximum vegetation height obtained from full-waveform airborne LiDAR data. We found strong linear relationships between all TanDEM-X metrics and LiDAR vegetation height within the forest patches with r=0.67, r=−0.69, and r=0.78 for the backscatter, coherence, and interferometric height, respectively. Furthermore, we extracted the position of individual trees from the LiDAR data and estimated tree density as the number of trees per unit area. The linear relationships between all TanDEM-X metrics and the tree density were very weak. The relationships between all TanDEM-X metrics and tree height differentiated for three tree density classes (low, medium, and high) remained strong. Random forests regression using all three TanDEM-X metrics predicted the tree height with a mean absolute error of 0.7m (mean forest height in the study area was 2.5 m). CoSSC pairs were generally consistent with each other and the multitemporal averaging slightly improved the performance compared to single pairs. Taking into account the global coverage of bistatic TanDEM-X data acquired for the global digital elevation model, our results show a potential for quantifying the tree height in small forest patches along the circum-Arctic treeline zone. Other Non-Article Part of Journal/Newspaper Arctic Northwest Territories Tundra German Aerospace Center: elib - DLR electronic library Arctic Northwest Territories Canada Remote Sensing of Environment 231 111251 |
institution |
Open Polar |
collection |
German Aerospace Center: elib - DLR electronic library |
op_collection_id |
ftdlr |
language |
English |
topic |
Bürgerwissenschaften |
spellingShingle |
Bürgerwissenschaften Antonova, Sofia Thiel, Christian Höfle, Bernhard Anders, Katharina Helm, Veit Zwieback, Simon Marx, Sabrina Boike, Julia Estimating tree height from TanDEM-X data at the northwestern Canadian treeline |
topic_facet |
Bürgerwissenschaften |
description |
The circum-Arctic transitional zone between forest and tundra, i.e. the treeline zone, is shifting northward due to current Arctic warming and, therefore, requires systematic monitoring. Up to now, radar remote sensing was hardly possible in the treeline zone due to spatial resolution and/or temporal decorrelation constraints of preceding satellite missions. The unique constellation of the TanDEM-X satellites with its bistatic mode and very high spatial resolution opens up opportunities for monitoring small (≥0.01 km2) and isolated patches of very sparse forest which are typical for the transitional zone. We focused on an area at the northern edge of the treeline zone in the Northwest Territories, Canada, and evaluated the potential of TanDEM-X bistatic data to characterize the tree height in the forest patches in this region. TanDEM-X data were acquired during the TanDEM-X Science Phase in 2015, when the perpendicular baseline was large (corresponding to the height of ambiguity of approximately 14.6 m) and kept constant. We employed TanDEM-X backscatter, bistatic coherence, and interferometric height from the stack of seven multitemporal bistatic pairs and compared them to maximum vegetation height obtained from full-waveform airborne LiDAR data. We found strong linear relationships between all TanDEM-X metrics and LiDAR vegetation height within the forest patches with r=0.67, r=−0.69, and r=0.78 for the backscatter, coherence, and interferometric height, respectively. Furthermore, we extracted the position of individual trees from the LiDAR data and estimated tree density as the number of trees per unit area. The linear relationships between all TanDEM-X metrics and the tree density were very weak. The relationships between all TanDEM-X metrics and tree height differentiated for three tree density classes (low, medium, and high) remained strong. Random forests regression using all three TanDEM-X metrics predicted the tree height with a mean absolute error of 0.7m (mean forest height in the study area was 2.5 m). CoSSC pairs were generally consistent with each other and the multitemporal averaging slightly improved the performance compared to single pairs. Taking into account the global coverage of bistatic TanDEM-X data acquired for the global digital elevation model, our results show a potential for quantifying the tree height in small forest patches along the circum-Arctic treeline zone. |
format |
Other Non-Article Part of Journal/Newspaper |
author |
Antonova, Sofia Thiel, Christian Höfle, Bernhard Anders, Katharina Helm, Veit Zwieback, Simon Marx, Sabrina Boike, Julia |
author_facet |
Antonova, Sofia Thiel, Christian Höfle, Bernhard Anders, Katharina Helm, Veit Zwieback, Simon Marx, Sabrina Boike, Julia |
author_sort |
Antonova, Sofia |
title |
Estimating tree height from TanDEM-X data at the northwestern Canadian treeline |
title_short |
Estimating tree height from TanDEM-X data at the northwestern Canadian treeline |
title_full |
Estimating tree height from TanDEM-X data at the northwestern Canadian treeline |
title_fullStr |
Estimating tree height from TanDEM-X data at the northwestern Canadian treeline |
title_full_unstemmed |
Estimating tree height from TanDEM-X data at the northwestern Canadian treeline |
title_sort |
estimating tree height from tandem-x data at the northwestern canadian treeline |
publisher |
Elsevier |
publishDate |
2019 |
url |
https://elib.dlr.de/131154/ https://elib.dlr.de/131154/1/Estimating%20tree%20height%20from%20TanDEM-X%20data%20at%20the%20northwestern%20Canadian%20treeline.pdf https://doi.org/10.1016/j.rse.2019.111251 |
geographic |
Arctic Northwest Territories Canada |
geographic_facet |
Arctic Northwest Territories Canada |
genre |
Arctic Northwest Territories Tundra |
genre_facet |
Arctic Northwest Territories Tundra |
op_relation |
https://elib.dlr.de/131154/1/Estimating%20tree%20height%20from%20TanDEM-X%20data%20at%20the%20northwestern%20Canadian%20treeline.pdf Antonova, Sofia und Thiel, Christian und Höfle, Bernhard und Anders, Katharina und Helm, Veit und Zwieback, Simon und Marx, Sabrina und Boike, Julia (2019) Estimating tree height from TanDEM-X data at the northwestern Canadian treeline. Remote Sensing of Environment, 231, Seite 111251. Elsevier. DOI:10.1016/j.rse.2019.111251 <https://doi.org/10.1016/j.rse.2019.111251> ISSN 0034-4257 |
op_doi |
https://doi.org/10.1016/j.rse.2019.111251 |
container_title |
Remote Sensing of Environment |
container_volume |
231 |
container_start_page |
111251 |
_version_ |
1766331260629680128 |