Cargando…

The Laser Vegetation Detecting Sensor: A Full Waveform, Large-Footprint, Airborne Laser Altimeter for Monitoring Forest Resources

The use of satellite-borne large-footprint LiDAR (light detection and ranging) systems allows for the acquisition of forest monitoring data. This paper mainly describes the design, use, operating principles, installation and data properties of the new Laser Vegetation Detecting Sensor (LVDS), a LiDA...

Descripción completa

Detalles Bibliográficos
Autores principales: Hu, Yang, Wu, Fayun, Sun, Zhongqiu, Lister, Andrew, Gao, Xianlian, Li, Weitao, Peng, Daoli
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2019
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6479772/
https://www.ncbi.nlm.nih.gov/pubmed/30974733
http://dx.doi.org/10.3390/s19071699
_version_ 1783413422275166208
author Hu, Yang
Wu, Fayun
Sun, Zhongqiu
Lister, Andrew
Gao, Xianlian
Li, Weitao
Peng, Daoli
author_facet Hu, Yang
Wu, Fayun
Sun, Zhongqiu
Lister, Andrew
Gao, Xianlian
Li, Weitao
Peng, Daoli
author_sort Hu, Yang
collection PubMed
description The use of satellite-borne large-footprint LiDAR (light detection and ranging) systems allows for the acquisition of forest monitoring data. This paper mainly describes the design, use, operating principles, installation and data properties of the new Laser Vegetation Detecting Sensor (LVDS), a LiDAR system designed and developed at the Academy of Forest Inventory and Planning (AFIP) and the Beijing Institute of Telemetry (BIT). Data from LVDS were used to calculate the mean height of forest trees on sample plots using data collected in the Hunan province of China. The results show that the full waveform data obtained by LVDS has the ability to accurately characterize forest height. The mean absolute percentage error of mean forest height per plot in flat areas was 6.8%, with a mean absolute deviation of 0.78 m. The airborne LVDS system provides prototype data sets and a platform for instrument proof-of-concept studies for China’s Terrestrial Ecosystem Carbon Monitoring (TECM) mission, which is an Earth remote sensing satellite due for launch in 2020. The information produced by LVDS allows for forest structure studies with high accuracy and coverage of large areas.
format Online
Article
Text
id pubmed-6479772
institution National Center for Biotechnology Information
language English
publishDate 2019
publisher MDPI
record_format MEDLINE/PubMed
spelling pubmed-64797722019-04-29 The Laser Vegetation Detecting Sensor: A Full Waveform, Large-Footprint, Airborne Laser Altimeter for Monitoring Forest Resources Hu, Yang Wu, Fayun Sun, Zhongqiu Lister, Andrew Gao, Xianlian Li, Weitao Peng, Daoli Sensors (Basel) Article The use of satellite-borne large-footprint LiDAR (light detection and ranging) systems allows for the acquisition of forest monitoring data. This paper mainly describes the design, use, operating principles, installation and data properties of the new Laser Vegetation Detecting Sensor (LVDS), a LiDAR system designed and developed at the Academy of Forest Inventory and Planning (AFIP) and the Beijing Institute of Telemetry (BIT). Data from LVDS were used to calculate the mean height of forest trees on sample plots using data collected in the Hunan province of China. The results show that the full waveform data obtained by LVDS has the ability to accurately characterize forest height. The mean absolute percentage error of mean forest height per plot in flat areas was 6.8%, with a mean absolute deviation of 0.78 m. The airborne LVDS system provides prototype data sets and a platform for instrument proof-of-concept studies for China’s Terrestrial Ecosystem Carbon Monitoring (TECM) mission, which is an Earth remote sensing satellite due for launch in 2020. The information produced by LVDS allows for forest structure studies with high accuracy and coverage of large areas. MDPI 2019-04-10 /pmc/articles/PMC6479772/ /pubmed/30974733 http://dx.doi.org/10.3390/s19071699 Text en © 2019 by the authors. Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (http://creativecommons.org/licenses/by/4.0/).
spellingShingle Article
Hu, Yang
Wu, Fayun
Sun, Zhongqiu
Lister, Andrew
Gao, Xianlian
Li, Weitao
Peng, Daoli
The Laser Vegetation Detecting Sensor: A Full Waveform, Large-Footprint, Airborne Laser Altimeter for Monitoring Forest Resources
title The Laser Vegetation Detecting Sensor: A Full Waveform, Large-Footprint, Airborne Laser Altimeter for Monitoring Forest Resources
title_full The Laser Vegetation Detecting Sensor: A Full Waveform, Large-Footprint, Airborne Laser Altimeter for Monitoring Forest Resources
title_fullStr The Laser Vegetation Detecting Sensor: A Full Waveform, Large-Footprint, Airborne Laser Altimeter for Monitoring Forest Resources
title_full_unstemmed The Laser Vegetation Detecting Sensor: A Full Waveform, Large-Footprint, Airborne Laser Altimeter for Monitoring Forest Resources
title_short The Laser Vegetation Detecting Sensor: A Full Waveform, Large-Footprint, Airborne Laser Altimeter for Monitoring Forest Resources
title_sort laser vegetation detecting sensor: a full waveform, large-footprint, airborne laser altimeter for monitoring forest resources
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6479772/
https://www.ncbi.nlm.nih.gov/pubmed/30974733
http://dx.doi.org/10.3390/s19071699
work_keys_str_mv AT huyang thelaservegetationdetectingsensorafullwaveformlargefootprintairbornelaseraltimeterformonitoringforestresources
AT wufayun thelaservegetationdetectingsensorafullwaveformlargefootprintairbornelaseraltimeterformonitoringforestresources
AT sunzhongqiu thelaservegetationdetectingsensorafullwaveformlargefootprintairbornelaseraltimeterformonitoringforestresources
AT listerandrew thelaservegetationdetectingsensorafullwaveformlargefootprintairbornelaseraltimeterformonitoringforestresources
AT gaoxianlian thelaservegetationdetectingsensorafullwaveformlargefootprintairbornelaseraltimeterformonitoringforestresources
AT liweitao thelaservegetationdetectingsensorafullwaveformlargefootprintairbornelaseraltimeterformonitoringforestresources
AT pengdaoli thelaservegetationdetectingsensorafullwaveformlargefootprintairbornelaseraltimeterformonitoringforestresources
AT huyang laservegetationdetectingsensorafullwaveformlargefootprintairbornelaseraltimeterformonitoringforestresources
AT wufayun laservegetationdetectingsensorafullwaveformlargefootprintairbornelaseraltimeterformonitoringforestresources
AT sunzhongqiu laservegetationdetectingsensorafullwaveformlargefootprintairbornelaseraltimeterformonitoringforestresources
AT listerandrew laservegetationdetectingsensorafullwaveformlargefootprintairbornelaseraltimeterformonitoringforestresources
AT gaoxianlian laservegetationdetectingsensorafullwaveformlargefootprintairbornelaseraltimeterformonitoringforestresources
AT liweitao laservegetationdetectingsensorafullwaveformlargefootprintairbornelaseraltimeterformonitoringforestresources
AT pengdaoli laservegetationdetectingsensorafullwaveformlargefootprintairbornelaseraltimeterformonitoringforestresources