Terrestrial Laser Scanning for Vegetation Analyses with a Special Focus on Savannas
Savannas are heterogeneous ecosystems, composed of varied spatial combinations and proportions of woody and herbaceous vegetation. Most field-based inventory and remote sensing methods fail to account for the lower stratum vegetation (i.e., shrubs and grasses), and are thus underrepresenting the car...
Published in: | Remote Sensing |
---|---|
Main Authors: | , , , , |
Format: | Article in Journal/Newspaper |
Language: | English |
Published: |
MDPI AG
2021
|
Subjects: | |
Online Access: | https://doi.org/10.3390/rs13030507 https://doaj.org/article/ddb941e2144d49f8962c2bb04c1902cf |
id |
ftdoajarticles:oai:doaj.org/article:ddb941e2144d49f8962c2bb04c1902cf |
---|---|
record_format |
openpolar |
spelling |
ftdoajarticles:oai:doaj.org/article:ddb941e2144d49f8962c2bb04c1902cf 2024-01-07T09:46:59+01:00 Terrestrial Laser Scanning for Vegetation Analyses with a Special Focus on Savannas Tasiyiwa Priscilla Muumbe Jussi Baade Jenia Singh Christiane Schmullius Christian Thau 2021-01-01T00:00:00Z https://doi.org/10.3390/rs13030507 https://doaj.org/article/ddb941e2144d49f8962c2bb04c1902cf EN eng MDPI AG https://www.mdpi.com/2072-4292/13/3/507 https://doaj.org/toc/2072-4292 doi:10.3390/rs13030507 2072-4292 https://doaj.org/article/ddb941e2144d49f8962c2bb04c1902cf Remote Sensing, Vol 13, Iss 3, p 507 (2021) terrestrial laser scanning (TLS) savanna Above Ground Biomass (AGB) 3D point cloud vegetation structure Science Q article 2021 ftdoajarticles https://doi.org/10.3390/rs13030507 2023-12-10T01:49:22Z Savannas are heterogeneous ecosystems, composed of varied spatial combinations and proportions of woody and herbaceous vegetation. Most field-based inventory and remote sensing methods fail to account for the lower stratum vegetation (i.e., shrubs and grasses), and are thus underrepresenting the carbon storage potential of savanna ecosystems. For detailed analyses at the local scale, Terrestrial Laser Scanning (TLS) has proven to be a promising remote sensing technology over the past decade. Accordingly, several review articles already exist on the use of TLS for characterizing 3D vegetation structure. However, a gap exists on the spatial concentrations of TLS studies according to biome for accurate vegetation structure estimation. A comprehensive review was conducted through a meta-analysis of 113 relevant research articles using 18 attributes. The review covered a range of aspects, including the global distribution of TLS studies, parameters retrieved from TLS point clouds and retrieval methods. The review also examined the relationship between the TLS retrieval method and the overall accuracy in parameter extraction. To date, TLS has mainly been used to characterize vegetation in temperate, boreal/taiga and tropical forests, with only little emphasis on savannas. TLS studies in the savanna focused on the extraction of very few vegetation parameters (e.g., DBH and height) and did not consider the shrub contribution to the overall Above Ground Biomass (AGB). Future work should therefore focus on developing new and adjusting existing algorithms for vegetation parameter extraction in the savanna biome, improving predictive AGB models through 3D reconstructions of savanna trees and shrubs as well as quantifying AGB change through the application of multi-temporal TLS. The integration of data from various sources and platforms e.g., TLS with airborne LiDAR is recommended for improved vegetation parameter extraction (including AGB) at larger spatial scales. The review highlights the huge potential of TLS for ... Article in Journal/Newspaper taiga Directory of Open Access Journals: DOAJ Articles Remote Sensing 13 3 507 |
institution |
Open Polar |
collection |
Directory of Open Access Journals: DOAJ Articles |
op_collection_id |
ftdoajarticles |
language |
English |
topic |
terrestrial laser scanning (TLS) savanna Above Ground Biomass (AGB) 3D point cloud vegetation structure Science Q |
spellingShingle |
terrestrial laser scanning (TLS) savanna Above Ground Biomass (AGB) 3D point cloud vegetation structure Science Q Tasiyiwa Priscilla Muumbe Jussi Baade Jenia Singh Christiane Schmullius Christian Thau Terrestrial Laser Scanning for Vegetation Analyses with a Special Focus on Savannas |
topic_facet |
terrestrial laser scanning (TLS) savanna Above Ground Biomass (AGB) 3D point cloud vegetation structure Science Q |
description |
Savannas are heterogeneous ecosystems, composed of varied spatial combinations and proportions of woody and herbaceous vegetation. Most field-based inventory and remote sensing methods fail to account for the lower stratum vegetation (i.e., shrubs and grasses), and are thus underrepresenting the carbon storage potential of savanna ecosystems. For detailed analyses at the local scale, Terrestrial Laser Scanning (TLS) has proven to be a promising remote sensing technology over the past decade. Accordingly, several review articles already exist on the use of TLS for characterizing 3D vegetation structure. However, a gap exists on the spatial concentrations of TLS studies according to biome for accurate vegetation structure estimation. A comprehensive review was conducted through a meta-analysis of 113 relevant research articles using 18 attributes. The review covered a range of aspects, including the global distribution of TLS studies, parameters retrieved from TLS point clouds and retrieval methods. The review also examined the relationship between the TLS retrieval method and the overall accuracy in parameter extraction. To date, TLS has mainly been used to characterize vegetation in temperate, boreal/taiga and tropical forests, with only little emphasis on savannas. TLS studies in the savanna focused on the extraction of very few vegetation parameters (e.g., DBH and height) and did not consider the shrub contribution to the overall Above Ground Biomass (AGB). Future work should therefore focus on developing new and adjusting existing algorithms for vegetation parameter extraction in the savanna biome, improving predictive AGB models through 3D reconstructions of savanna trees and shrubs as well as quantifying AGB change through the application of multi-temporal TLS. The integration of data from various sources and platforms e.g., TLS with airborne LiDAR is recommended for improved vegetation parameter extraction (including AGB) at larger spatial scales. The review highlights the huge potential of TLS for ... |
format |
Article in Journal/Newspaper |
author |
Tasiyiwa Priscilla Muumbe Jussi Baade Jenia Singh Christiane Schmullius Christian Thau |
author_facet |
Tasiyiwa Priscilla Muumbe Jussi Baade Jenia Singh Christiane Schmullius Christian Thau |
author_sort |
Tasiyiwa Priscilla Muumbe |
title |
Terrestrial Laser Scanning for Vegetation Analyses with a Special Focus on Savannas |
title_short |
Terrestrial Laser Scanning for Vegetation Analyses with a Special Focus on Savannas |
title_full |
Terrestrial Laser Scanning for Vegetation Analyses with a Special Focus on Savannas |
title_fullStr |
Terrestrial Laser Scanning for Vegetation Analyses with a Special Focus on Savannas |
title_full_unstemmed |
Terrestrial Laser Scanning for Vegetation Analyses with a Special Focus on Savannas |
title_sort |
terrestrial laser scanning for vegetation analyses with a special focus on savannas |
publisher |
MDPI AG |
publishDate |
2021 |
url |
https://doi.org/10.3390/rs13030507 https://doaj.org/article/ddb941e2144d49f8962c2bb04c1902cf |
genre |
taiga |
genre_facet |
taiga |
op_source |
Remote Sensing, Vol 13, Iss 3, p 507 (2021) |
op_relation |
https://www.mdpi.com/2072-4292/13/3/507 https://doaj.org/toc/2072-4292 doi:10.3390/rs13030507 2072-4292 https://doaj.org/article/ddb941e2144d49f8962c2bb04c1902cf |
op_doi |
https://doi.org/10.3390/rs13030507 |
container_title |
Remote Sensing |
container_volume |
13 |
container_issue |
3 |
container_start_page |
507 |
_version_ |
1787428923570651136 |