Canopy leaf water content estimated using terrestrial LiDAR

•Full-waveform terrestrial laser scanning data have the potential to estimate leaf water content vertical distribution within canopy.•A modified skewed Gaussian function was proposed to perform a decomposition on the full-waveform data.•The backscatter coefficient is strongly correlated with leaf wa...

Ausführliche Beschreibung

Gespeichert in:
Bibliographische Detailangaben
Veröffentlicht in:Agricultural and forest meteorology 2017-01, Vol.232, p.152-162
Hauptverfasser: Zhu, Xi, Wang, Tiejun, Skidmore, Andrew K., Darvishzadeh, Roshanak, Niemann, K.Olaf, Liu, Jing
Format: Artikel
Sprache:eng
Schlagworte:
Online-Zugang:Volltext
Tags: Tag hinzufügen
Keine Tags, Fügen Sie den ersten Tag hinzu!
container_end_page 162
container_issue
container_start_page 152
container_title Agricultural and forest meteorology
container_volume 232
creator Zhu, Xi
Wang, Tiejun
Skidmore, Andrew K.
Darvishzadeh, Roshanak
Niemann, K.Olaf
Liu, Jing
description •Full-waveform terrestrial laser scanning data have the potential to estimate leaf water content vertical distribution within canopy.•A modified skewed Gaussian function was proposed to perform a decomposition on the full-waveform data.•The backscatter coefficient is strongly correlated with leaf water content.•The vertical heterogeneity of leaf water content may show the plant physiological status. Leaf water content (LWC) within a plant canopy plays an important role in light penetration and scattering, thus affecting reflectance simulation with radiative transfer models. It is also of key importance for the distribution of other plant biochemical parameters, fire propagation simulation and habitat suitability evaluation. Although passive remote sensing techniques have been widely applied to estimate LWC, they are unable to retrieve the LWC vertical distribution within a canopy. In this paper we investigated the applicability of the full-waveform terrestrial laser scanning data (TLS) to estimate the LWC vertical distribution within the canopy of individual plants. A modified skewed Gaussian function that accommodates the nonlinear nature of the system was proposed to perform a decomposition on the full-waveform data. The amplitude, the backscatter cross-section, and the backscatter coefficient were assessed to estimate LWC, respectively. Our results showed that the backscatter coefficient had the strongest correlation with LWC (R2=0.66) for four plant species after an incidence angle correction. Good agreements were achieved between the predicted vertical profile of LWC and the measured vertical profile of LWC with a mean RMSE (root mean square error) value of 0.001g/cm2 and a mean MAPE (mean absolute percent error) value of 4.46%. However, the performance of LWC vertical profile estimation varied across species, suggesting the influence of leaf structure other than LWC on waveform features, which should be considered in future studies. Nevertheless, our study successfully demonstrated the feasibility of retrieving LWC vertical distribution within plant canopy from a full-waveform terrestrial laser scanner.
doi_str_mv 10.1016/j.agrformet.2016.08.016
format Article
fullrecord <record><control><sourceid>proquest_cross</sourceid><recordid>TN_cdi_proquest_miscellaneous_1850772721</recordid><sourceformat>XML</sourceformat><sourcesystem>PC</sourcesystem><els_id>S0168192316303719</els_id><sourcerecordid>1850772721</sourcerecordid><originalsourceid>FETCH-LOGICAL-c397t-57d895d6eac3d1fa0003758c7851dd427f6edf125df914af777f1d5365619c733</originalsourceid><addsrcrecordid>eNqFUE1LAzEUDKJgrf4G9-hl13w0-7J4KvUTCoLoOYTkpaRsd2uSKv33plS8ehqYNzO8GUKuGW0YZe3tujGr6Me4wdzwQjRUNQVOyIQpEDXnM3pKJoVRNeu4OCcXKa0pZRygm5C7hRnG7b7q0fjq22SMlR2HjEOuMOWwKYyrdikMq6rcYuFiMH21DPfzt0ty5k2f8OoXp-Tj8eF98VwvX59eFvNlbUUHuZbgVCddi8YKx7yhlAqQyoKSzLkZB9-i84xL5zs2Mx4APHNStLJlnQUhpuTmmLuN4-euvKA3IVnsezPguEuaKUkBOHBWpHCU2jimFNHrbSwl4l4zqg9z6bX-m0sf5tJU6QLFOT86sTT5Chh1sgEHiy5EtFm7Mfyb8QP1sXdv</addsrcrecordid><sourcetype>Aggregation Database</sourcetype><iscdi>true</iscdi><recordtype>article</recordtype><pqid>1850772721</pqid></control><display><type>article</type><title>Canopy leaf water content estimated using terrestrial LiDAR</title><source>Access via ScienceDirect (Elsevier)</source><creator>Zhu, Xi ; Wang, Tiejun ; Skidmore, Andrew K. ; Darvishzadeh, Roshanak ; Niemann, K.Olaf ; Liu, Jing</creator><creatorcontrib>Zhu, Xi ; Wang, Tiejun ; Skidmore, Andrew K. ; Darvishzadeh, Roshanak ; Niemann, K.Olaf ; Liu, Jing</creatorcontrib><description>•Full-waveform terrestrial laser scanning data have the potential to estimate leaf water content vertical distribution within canopy.•A modified skewed Gaussian function was proposed to perform a decomposition on the full-waveform data.•The backscatter coefficient is strongly correlated with leaf water content.•The vertical heterogeneity of leaf water content may show the plant physiological status. Leaf water content (LWC) within a plant canopy plays an important role in light penetration and scattering, thus affecting reflectance simulation with radiative transfer models. It is also of key importance for the distribution of other plant biochemical parameters, fire propagation simulation and habitat suitability evaluation. Although passive remote sensing techniques have been widely applied to estimate LWC, they are unable to retrieve the LWC vertical distribution within a canopy. In this paper we investigated the applicability of the full-waveform terrestrial laser scanning data (TLS) to estimate the LWC vertical distribution within the canopy of individual plants. A modified skewed Gaussian function that accommodates the nonlinear nature of the system was proposed to perform a decomposition on the full-waveform data. The amplitude, the backscatter cross-section, and the backscatter coefficient were assessed to estimate LWC, respectively. Our results showed that the backscatter coefficient had the strongest correlation with LWC (R2=0.66) for four plant species after an incidence angle correction. Good agreements were achieved between the predicted vertical profile of LWC and the measured vertical profile of LWC with a mean RMSE (root mean square error) value of 0.001g/cm2 and a mean MAPE (mean absolute percent error) value of 4.46%. However, the performance of LWC vertical profile estimation varied across species, suggesting the influence of leaf structure other than LWC on waveform features, which should be considered in future studies. Nevertheless, our study successfully demonstrated the feasibility of retrieving LWC vertical distribution within plant canopy from a full-waveform terrestrial laser scanner.</description><identifier>ISSN: 0168-1923</identifier><identifier>EISSN: 1873-2240</identifier><identifier>DOI: 10.1016/j.agrformet.2016.08.016</identifier><language>eng</language><publisher>Elsevier B.V</publisher><subject>Backscattering coefficient ; Full-waveform ; Leaf water content ; Terrestrial laser scanner ; Vertical distribution</subject><ispartof>Agricultural and forest meteorology, 2017-01, Vol.232, p.152-162</ispartof><rights>2016 Elsevier B.V.</rights><lds50>peer_reviewed</lds50><oa>free_for_read</oa><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c397t-57d895d6eac3d1fa0003758c7851dd427f6edf125df914af777f1d5365619c733</citedby><cites>FETCH-LOGICAL-c397t-57d895d6eac3d1fa0003758c7851dd427f6edf125df914af777f1d5365619c733</cites><orcidid>0000-0003-0556-5732</orcidid></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktohtml>$$Uhttps://dx.doi.org/10.1016/j.agrformet.2016.08.016$$EHTML$$P50$$Gelsevier$$H</linktohtml><link.rule.ids>314,780,784,3550,27924,27925,45995</link.rule.ids></links><search><creatorcontrib>Zhu, Xi</creatorcontrib><creatorcontrib>Wang, Tiejun</creatorcontrib><creatorcontrib>Skidmore, Andrew K.</creatorcontrib><creatorcontrib>Darvishzadeh, Roshanak</creatorcontrib><creatorcontrib>Niemann, K.Olaf</creatorcontrib><creatorcontrib>Liu, Jing</creatorcontrib><title>Canopy leaf water content estimated using terrestrial LiDAR</title><title>Agricultural and forest meteorology</title><description>•Full-waveform terrestrial laser scanning data have the potential to estimate leaf water content vertical distribution within canopy.•A modified skewed Gaussian function was proposed to perform a decomposition on the full-waveform data.•The backscatter coefficient is strongly correlated with leaf water content.•The vertical heterogeneity of leaf water content may show the plant physiological status. Leaf water content (LWC) within a plant canopy plays an important role in light penetration and scattering, thus affecting reflectance simulation with radiative transfer models. It is also of key importance for the distribution of other plant biochemical parameters, fire propagation simulation and habitat suitability evaluation. Although passive remote sensing techniques have been widely applied to estimate LWC, they are unable to retrieve the LWC vertical distribution within a canopy. In this paper we investigated the applicability of the full-waveform terrestrial laser scanning data (TLS) to estimate the LWC vertical distribution within the canopy of individual plants. A modified skewed Gaussian function that accommodates the nonlinear nature of the system was proposed to perform a decomposition on the full-waveform data. The amplitude, the backscatter cross-section, and the backscatter coefficient were assessed to estimate LWC, respectively. Our results showed that the backscatter coefficient had the strongest correlation with LWC (R2=0.66) for four plant species after an incidence angle correction. Good agreements were achieved between the predicted vertical profile of LWC and the measured vertical profile of LWC with a mean RMSE (root mean square error) value of 0.001g/cm2 and a mean MAPE (mean absolute percent error) value of 4.46%. However, the performance of LWC vertical profile estimation varied across species, suggesting the influence of leaf structure other than LWC on waveform features, which should be considered in future studies. Nevertheless, our study successfully demonstrated the feasibility of retrieving LWC vertical distribution within plant canopy from a full-waveform terrestrial laser scanner.</description><subject>Backscattering coefficient</subject><subject>Full-waveform</subject><subject>Leaf water content</subject><subject>Terrestrial laser scanner</subject><subject>Vertical distribution</subject><issn>0168-1923</issn><issn>1873-2240</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2017</creationdate><recordtype>article</recordtype><recordid>eNqFUE1LAzEUDKJgrf4G9-hl13w0-7J4KvUTCoLoOYTkpaRsd2uSKv33plS8ehqYNzO8GUKuGW0YZe3tujGr6Me4wdzwQjRUNQVOyIQpEDXnM3pKJoVRNeu4OCcXKa0pZRygm5C7hRnG7b7q0fjq22SMlR2HjEOuMOWwKYyrdikMq6rcYuFiMH21DPfzt0ty5k2f8OoXp-Tj8eF98VwvX59eFvNlbUUHuZbgVCddi8YKx7yhlAqQyoKSzLkZB9-i84xL5zs2Mx4APHNStLJlnQUhpuTmmLuN4-euvKA3IVnsezPguEuaKUkBOHBWpHCU2jimFNHrbSwl4l4zqg9z6bX-m0sf5tJU6QLFOT86sTT5Chh1sgEHiy5EtFm7Mfyb8QP1sXdv</recordid><startdate>20170115</startdate><enddate>20170115</enddate><creator>Zhu, Xi</creator><creator>Wang, Tiejun</creator><creator>Skidmore, Andrew K.</creator><creator>Darvishzadeh, Roshanak</creator><creator>Niemann, K.Olaf</creator><creator>Liu, Jing</creator><general>Elsevier B.V</general><scope>AAYXX</scope><scope>CITATION</scope><scope>7SN</scope><scope>7ST</scope><scope>7TG</scope><scope>7UA</scope><scope>C1K</scope><scope>F1W</scope><scope>H96</scope><scope>KL.</scope><scope>L.G</scope><scope>SOI</scope><orcidid>https://orcid.org/0000-0003-0556-5732</orcidid></search><sort><creationdate>20170115</creationdate><title>Canopy leaf water content estimated using terrestrial LiDAR</title><author>Zhu, Xi ; Wang, Tiejun ; Skidmore, Andrew K. ; Darvishzadeh, Roshanak ; Niemann, K.Olaf ; Liu, Jing</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c397t-57d895d6eac3d1fa0003758c7851dd427f6edf125df914af777f1d5365619c733</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2017</creationdate><topic>Backscattering coefficient</topic><topic>Full-waveform</topic><topic>Leaf water content</topic><topic>Terrestrial laser scanner</topic><topic>Vertical distribution</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Zhu, Xi</creatorcontrib><creatorcontrib>Wang, Tiejun</creatorcontrib><creatorcontrib>Skidmore, Andrew K.</creatorcontrib><creatorcontrib>Darvishzadeh, Roshanak</creatorcontrib><creatorcontrib>Niemann, K.Olaf</creatorcontrib><creatorcontrib>Liu, Jing</creatorcontrib><collection>CrossRef</collection><collection>Ecology Abstracts</collection><collection>Environment Abstracts</collection><collection>Meteorological &amp; Geoastrophysical Abstracts</collection><collection>Water Resources Abstracts</collection><collection>Environmental Sciences and Pollution Management</collection><collection>ASFA: Aquatic Sciences and Fisheries Abstracts</collection><collection>Aquatic Science &amp; Fisheries Abstracts (ASFA) 2: Ocean Technology, Policy &amp; Non-Living Resources</collection><collection>Meteorological &amp; Geoastrophysical Abstracts - Academic</collection><collection>Aquatic Science &amp; Fisheries Abstracts (ASFA) Professional</collection><collection>Environment Abstracts</collection><jtitle>Agricultural and forest meteorology</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Zhu, Xi</au><au>Wang, Tiejun</au><au>Skidmore, Andrew K.</au><au>Darvishzadeh, Roshanak</au><au>Niemann, K.Olaf</au><au>Liu, Jing</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Canopy leaf water content estimated using terrestrial LiDAR</atitle><jtitle>Agricultural and forest meteorology</jtitle><date>2017-01-15</date><risdate>2017</risdate><volume>232</volume><spage>152</spage><epage>162</epage><pages>152-162</pages><issn>0168-1923</issn><eissn>1873-2240</eissn><abstract>•Full-waveform terrestrial laser scanning data have the potential to estimate leaf water content vertical distribution within canopy.•A modified skewed Gaussian function was proposed to perform a decomposition on the full-waveform data.•The backscatter coefficient is strongly correlated with leaf water content.•The vertical heterogeneity of leaf water content may show the plant physiological status. Leaf water content (LWC) within a plant canopy plays an important role in light penetration and scattering, thus affecting reflectance simulation with radiative transfer models. It is also of key importance for the distribution of other plant biochemical parameters, fire propagation simulation and habitat suitability evaluation. Although passive remote sensing techniques have been widely applied to estimate LWC, they are unable to retrieve the LWC vertical distribution within a canopy. In this paper we investigated the applicability of the full-waveform terrestrial laser scanning data (TLS) to estimate the LWC vertical distribution within the canopy of individual plants. A modified skewed Gaussian function that accommodates the nonlinear nature of the system was proposed to perform a decomposition on the full-waveform data. The amplitude, the backscatter cross-section, and the backscatter coefficient were assessed to estimate LWC, respectively. Our results showed that the backscatter coefficient had the strongest correlation with LWC (R2=0.66) for four plant species after an incidence angle correction. Good agreements were achieved between the predicted vertical profile of LWC and the measured vertical profile of LWC with a mean RMSE (root mean square error) value of 0.001g/cm2 and a mean MAPE (mean absolute percent error) value of 4.46%. However, the performance of LWC vertical profile estimation varied across species, suggesting the influence of leaf structure other than LWC on waveform features, which should be considered in future studies. Nevertheless, our study successfully demonstrated the feasibility of retrieving LWC vertical distribution within plant canopy from a full-waveform terrestrial laser scanner.</abstract><pub>Elsevier B.V</pub><doi>10.1016/j.agrformet.2016.08.016</doi><tpages>11</tpages><orcidid>https://orcid.org/0000-0003-0556-5732</orcidid><oa>free_for_read</oa></addata></record>
fulltext fulltext
identifier ISSN: 0168-1923
ispartof Agricultural and forest meteorology, 2017-01, Vol.232, p.152-162
issn 0168-1923
1873-2240
language eng
recordid cdi_proquest_miscellaneous_1850772721
source Access via ScienceDirect (Elsevier)
subjects Backscattering coefficient
Full-waveform
Leaf water content
Terrestrial laser scanner
Vertical distribution
title Canopy leaf water content estimated using terrestrial LiDAR
url https://sfx.bib-bvb.de/sfx_tum?ctx_ver=Z39.88-2004&ctx_enc=info:ofi/enc:UTF-8&ctx_tim=2024-12-22T12%3A21%3A53IST&url_ver=Z39.88-2004&url_ctx_fmt=infofi/fmt:kev:mtx:ctx&rfr_id=info:sid/primo.exlibrisgroup.com:primo3-Article-proquest_cross&rft_val_fmt=info:ofi/fmt:kev:mtx:journal&rft.genre=article&rft.atitle=Canopy%20leaf%20water%20content%20estimated%20using%20terrestrial%20LiDAR&rft.jtitle=Agricultural%20and%20forest%20meteorology&rft.au=Zhu,%20Xi&rft.date=2017-01-15&rft.volume=232&rft.spage=152&rft.epage=162&rft.pages=152-162&rft.issn=0168-1923&rft.eissn=1873-2240&rft_id=info:doi/10.1016/j.agrformet.2016.08.016&rft_dat=%3Cproquest_cross%3E1850772721%3C/proquest_cross%3E%3Curl%3E%3C/url%3E&disable_directlink=true&sfx.directlink=off&sfx.report_link=0&rft_id=info:oai/&rft_pqid=1850772721&rft_id=info:pmid/&rft_els_id=S0168192316303719&rfr_iscdi=true