Articles | Volume 14, issue 4
https://doi.org/10.5194/bg-14-977-2017
© Author(s) 2017. This work is distributed under
the Creative Commons Attribution 3.0 License.
the Creative Commons Attribution 3.0 License.
https://doi.org/10.5194/bg-14-977-2017
© Author(s) 2017. This work is distributed under
the Creative Commons Attribution 3.0 License.
the Creative Commons Attribution 3.0 License.
Research article
| 
02 Mar 2017
Research article |
| 02 Mar 2017
Can terrestrial laser scanners (TLSs) and hemispherical photographs predict tropical dry forest succession with liana abundance?
Gerardo Arturo Sánchez-Azofeifa
CORRESPONDING AUTHOR
Center for Earth Observation Sciences (CEOS), Department of Earth
and Atmospheric Sciences, University of Alberta, Edmonton, Alberta, T6G 2E3, Canada
J. Antonio Guzmán-Quesada
Center for Earth Observation Sciences (CEOS), Department of Earth
and Atmospheric Sciences, University of Alberta, Edmonton, Alberta, T6G 2E3, Canada
Mauricio Vega-Araya
Laboratorio de Teledetección de Ecosistemas (LabTEc),
INISEFOR, Universidad Nacional de Costa Rica, Heredia, Costa Rica
Carlos Campos-Vargas
Center for Earth Observation Sciences (CEOS), Department of Earth
and Atmospheric Sciences, University of Alberta, Edmonton, Alberta, T6G 2E3, Canada
Sandra Milena Durán
Center for Earth Observation Sciences (CEOS), Department of Earth
and Atmospheric Sciences, University of Alberta, Edmonton, Alberta, T6G 2E3, Canada
Nikhil D'Souza
Center for Earth Observation Sciences (CEOS), Department of Earth
and Atmospheric Sciences, University of Alberta, Edmonton, Alberta, T6G 2E3, Canada
Thomas Gianoli
Center for Earth Observation Sciences (CEOS), Department of Earth
and Atmospheric Sciences, University of Alberta, Edmonton, Alberta, T6G 2E3, Canada
Carlos Portillo-Quintero
Department of Natural Resources Management, Texas Tech University,
Lubbock, Texas, USA
Iain Sharp
Center for Earth Observation Sciences (CEOS), Department of Earth
and Atmospheric Sciences, University of Alberta, Edmonton, Alberta, T6G 2E3, Canada
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Cited
25 citations as recorded by crossref.
- Using visible-near-infrared spectroscopy to classify lichens at a Neotropical Dry Forest J. Guzmán Q. et al. 10.1016/j.ecolind.2019.105999
- Discrimination of liana and tree leaves from a Neotropical Dry Forest using visible-near infrared and longwave infrared reflectance spectra J. Guzmán Q. et al. 10.1016/j.rse.2018.10.014
- Terrestrial Laser Scanning to Detect Liana Impact on Forest Structure S. Krishna Moorthy et al. 10.3390/rs10060810
- On the relationship of fractal geometry and tree–stand metrics on point clouds derived from terrestrial laser scanning J. Guzmán Q. et al. 10.1111/2041-210X.13437
- Semi-automatic extraction of liana stems from terrestrial LiDAR point clouds of tropical rainforests S. Krishna Moorthy et al. 10.1016/j.isprsjprs.2019.05.011
- Mapping tropical dry forest age using airborne waveform LiDAR and hyperspectral metrics C. Sun et al. 10.1016/j.jag.2019.101908
- Bird Assemblage Recovery in a Chronosequence of Tropical Dry Forests in Costa Rica B. Hilje et al. 10.3390/f11060629
- Extraction of Liana Stems Using Geometric Features from Terrestrial Laser Scanning Point Clouds T. Han & G. Sánchez-Azofeifa 10.3390/rs14164039
- Prediction of leaf traits of lianas and trees via the integration of wavelet spectra in the visible-near infrared and thermal infrared domains J. Guzmán Q. & G. Sanchez-Azofeifa 10.1016/j.rse.2021.112406
- Lianas Abundance is Positively Related with the Avian Acoustic Community in Tropical Dry Forests B. Hilje et al. 10.3390/f8090311
- On the estimation of tree mortality and liana infestation using a deep self-encoding network W. Li et al. 10.1016/j.jag.2018.05.025
- Twenty‐first century remote sensing technologies are revolutionizing the study of tropical forests A. Sanchez‐Azofeifa et al. 10.1111/btp.12454
- Using LiDAR waveform metrics to describe and identify successional stages of tropical dry forests Z. Gu et al. 10.1016/j.jag.2018.07.010
- Can terrestrial laser scanners (TLSs) and hemispherical photographs predict tropical dry forest succession with liana abundance? G. Sánchez-Azofeifa et al. 10.5194/bg-14-977-2017
- Unmanned Aerial System and Machine Learning Techniques Help to Detect Dead Woody Components in a Tropical Dry Forest C. Campos-Vargas et al. 10.3390/f11080827
- Structure, environmental patterns and impact of expected climate change in natural beech-dominated forests in the Cantabrian Range (NW Spain) J. Castaño-Santamaría et al. 10.1016/j.foreco.2021.119512
- Lianas research in the Neotropics: overview, interaction with trees, and future perspectives B. da Cunha Vargas et al. 10.1007/s00468-020-02056-w
- Characterizing Transitions between Successional Stages in a Tropical Dry Forest Using LiDAR Techniques M. Duan et al. 10.3390/rs15020479
- Modeling seasonal surface temperature variations in secondary tropical dry forests S. Cao & A. Sanchez-Azofeifa 10.1016/j.jag.2017.06.008
- Identifying tropical dry forests extent and succession via the use of machine learning techniques W. Li et al. 10.1016/j.jag.2017.08.003
- Conceptualising the Global Forest Response to Liana Proliferation A. Marshall et al. 10.3389/ffgc.2020.00035
- Spatial Estimation of the Latent Heat Flux in a Tropical Dry Forest by Using Unmanned Aerial Vehicles P. Marzahn et al. 10.3390/f11060604
- Hyperspectral and Full-Waveform LiDAR Improve Mapping of Tropical Dry Forest’s Successional Stages G. Zhao et al. 10.3390/rs13193830
- MODIS and PROBA-V NDVI Products Differ when Compared with Observations from Phenological Towers at Four Tropical Dry Forests in the Americas J. Guzmán Q. et al. 10.3390/rs11192316
- Terrestrial Laser Scanning to Detect Liana Impact on Forest Structure S. Krishna Moorthy et al. 10.3390/rs10060810
24 citations as recorded by crossref.
- Using visible-near-infrared spectroscopy to classify lichens at a Neotropical Dry Forest J. Guzmán Q. et al. 10.1016/j.ecolind.2019.105999
- Discrimination of liana and tree leaves from a Neotropical Dry Forest using visible-near infrared and longwave infrared reflectance spectra J. Guzmán Q. et al. 10.1016/j.rse.2018.10.014
- Terrestrial Laser Scanning to Detect Liana Impact on Forest Structure S. Krishna Moorthy et al. 10.3390/rs10060810
- On the relationship of fractal geometry and tree–stand metrics on point clouds derived from terrestrial laser scanning J. Guzmán Q. et al. 10.1111/2041-210X.13437
- Semi-automatic extraction of liana stems from terrestrial LiDAR point clouds of tropical rainforests S. Krishna Moorthy et al. 10.1016/j.isprsjprs.2019.05.011
- Mapping tropical dry forest age using airborne waveform LiDAR and hyperspectral metrics C. Sun et al. 10.1016/j.jag.2019.101908
- Bird Assemblage Recovery in a Chronosequence of Tropical Dry Forests in Costa Rica B. Hilje et al. 10.3390/f11060629
- Extraction of Liana Stems Using Geometric Features from Terrestrial Laser Scanning Point Clouds T. Han & G. Sánchez-Azofeifa 10.3390/rs14164039
- Prediction of leaf traits of lianas and trees via the integration of wavelet spectra in the visible-near infrared and thermal infrared domains J. Guzmán Q. & G. Sanchez-Azofeifa 10.1016/j.rse.2021.112406
- Lianas Abundance is Positively Related with the Avian Acoustic Community in Tropical Dry Forests B. Hilje et al. 10.3390/f8090311
- On the estimation of tree mortality and liana infestation using a deep self-encoding network W. Li et al. 10.1016/j.jag.2018.05.025
- Twenty‐first century remote sensing technologies are revolutionizing the study of tropical forests A. Sanchez‐Azofeifa et al. 10.1111/btp.12454
- Using LiDAR waveform metrics to describe and identify successional stages of tropical dry forests Z. Gu et al. 10.1016/j.jag.2018.07.010
- Can terrestrial laser scanners (TLSs) and hemispherical photographs predict tropical dry forest succession with liana abundance? G. Sánchez-Azofeifa et al. 10.5194/bg-14-977-2017
- Unmanned Aerial System and Machine Learning Techniques Help to Detect Dead Woody Components in a Tropical Dry Forest C. Campos-Vargas et al. 10.3390/f11080827
- Structure, environmental patterns and impact of expected climate change in natural beech-dominated forests in the Cantabrian Range (NW Spain) J. Castaño-Santamaría et al. 10.1016/j.foreco.2021.119512
- Lianas research in the Neotropics: overview, interaction with trees, and future perspectives B. da Cunha Vargas et al. 10.1007/s00468-020-02056-w
- Characterizing Transitions between Successional Stages in a Tropical Dry Forest Using LiDAR Techniques M. Duan et al. 10.3390/rs15020479
- Modeling seasonal surface temperature variations in secondary tropical dry forests S. Cao & A. Sanchez-Azofeifa 10.1016/j.jag.2017.06.008
- Identifying tropical dry forests extent and succession via the use of machine learning techniques W. Li et al. 10.1016/j.jag.2017.08.003
- Conceptualising the Global Forest Response to Liana Proliferation A. Marshall et al. 10.3389/ffgc.2020.00035
- Spatial Estimation of the Latent Heat Flux in a Tropical Dry Forest by Using Unmanned Aerial Vehicles P. Marzahn et al. 10.3390/f11060604
- Hyperspectral and Full-Waveform LiDAR Improve Mapping of Tropical Dry Forest’s Successional Stages G. Zhao et al. 10.3390/rs13193830
- MODIS and PROBA-V NDVI Products Differ when Compared with Observations from Phenological Towers at Four Tropical Dry Forests in the Americas J. Guzmán Q. et al. 10.3390/rs11192316
1 citations as recorded by crossref.
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Latest update: 24 Apr 2025
Short summary
Lianas (woody vines) tend to respond positively to disturbance and show high densities in secondary forests. Lianas are a key component of tropical forests because they may reduce carbon potential. Identifying tools for liana detection is therefore essential for monitoring changes in tropical forests. In this study, we describe how terrestrial laser scanning can be used to detect the presence of lianas in forest stands of different ages in secondary tropical dry forests at a regional scale.
Lianas (woody vines) tend to respond positively to disturbance and show high densities in...
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