Accuracy assessment of a mobile terrestrial laser scanner for tree crops
LiDAR technology is one option to collect spatial data about canopy geometry in many crops. However, the method of data acquisition includes many errors related to the LiDAR sensor, the GNSS receiver and the data acquisition set up. Therefore, the objective of this study was to evaluate the errors i...
Gespeichert in:
| Veröffentlicht in: | Advances in animal biosciences 2017-07, Vol.8 (2), p.178-182 |
|---|---|
| Hauptverfasser: | , , , |
| Format: | Artikel |
| Sprache: | eng |
| Schlagworte: | |
| Online-Zugang: | Volltext |
| Tags: |
Tag hinzufügen
Keine Tags, Fügen Sie den ersten Tag hinzu!
|
| container_end_page | 182 |
|---|---|
| container_issue | 2 |
| container_start_page | 178 |
| container_title | Advances in animal biosciences |
| container_volume | 8 |
| creator | Karp, F. H. S. Colaço, A. F. Trevisan, R. G. Molin, J. P. |
| description | LiDAR technology is one option to collect spatial data about canopy geometry in many crops. However, the method of data acquisition includes many errors related to the LiDAR sensor, the GNSS receiver and the data acquisition set up. Therefore, the objective of this study was to evaluate the errors involved in the data acquisition from a mobile terrestrial laser scanner (MTLS). Regular shaped objects were scanned with a developed MTLS in two different tests: i) with the system mounted on a vehicle and ii) with the system mounted on a platform running over a rail. The errors of area estimation varied between 0.001 and 0.071 m2 for the circle, square and triangle objects. The errors on volume estimations were between 0.0003 and 0.0017 m3, for cylinders and truncated cone. |
| doi_str_mv | 10.1017/S2040470017000073 |
| format | Article |
| fullrecord | <record><control><sourceid>proquest_cross</sourceid><recordid>TN_cdi_proquest_journals_1904073463</recordid><sourceformat>XML</sourceformat><sourcesystem>PC</sourcesystem><cupid>10_1017_S2040470017000073</cupid><sourcerecordid>1904073463</sourcerecordid><originalsourceid>FETCH-LOGICAL-c1623-32512c63a502cdfaac1b4884bd81665abdf56e8f9bbad32c53d2df291fa5f0aa3</originalsourceid><addsrcrecordid>eNp1UMtKA0EQHETBEPMB3gY8r85jZx_HENQIAQ_qeel5yYZ9xO7NIX_vhAQRxL500VRVdxdjt1LcSyHLhzclcpGXImGRqtQXbHYcZXkp68sfLMQ1WxBtjxxTCV2VM7ZeOrdHcAcORIGoD8PEx8iB96Ntu8CngBhowhY63gEF5ORgGFKPI_IJQ-AOxx3dsKsIHYXFuc_Zx9Pj-2qdbV6fX1bLTeZkoXSmlZHKFRqMUM5HACdtXlW59ZUsCgPWR1OEKtbWgtfKGe2Vj6qWEUwUAHrO7k6-Oxy_9umyZjvucUgrG1mnP0udFzqx5ImVbiPCEJsdtj3goZGiOWbW_MksafRZA73F1n-GX9b_qr4BLFJtdA</addsrcrecordid><sourcetype>Aggregation Database</sourcetype><iscdi>true</iscdi><recordtype>article</recordtype><pqid>1904073463</pqid></control><display><type>article</type><title>Accuracy assessment of a mobile terrestrial laser scanner for tree crops</title><source>Cambridge Journals Online</source><creator>Karp, F. H. S. ; Colaço, A. F. ; Trevisan, R. G. ; Molin, J. P.</creator><creatorcontrib>Karp, F. H. S. ; Colaço, A. F. ; Trevisan, R. G. ; Molin, J. P.</creatorcontrib><description>LiDAR technology is one option to collect spatial data about canopy geometry in many crops. However, the method of data acquisition includes many errors related to the LiDAR sensor, the GNSS receiver and the data acquisition set up. Therefore, the objective of this study was to evaluate the errors involved in the data acquisition from a mobile terrestrial laser scanner (MTLS). Regular shaped objects were scanned with a developed MTLS in two different tests: i) with the system mounted on a vehicle and ii) with the system mounted on a platform running over a rail. The errors of area estimation varied between 0.001 and 0.071 m2 for the circle, square and triangle objects. The errors on volume estimations were between 0.0003 and 0.0017 m3, for cylinders and truncated cone.</description><identifier>ISSN: 2040-4700</identifier><identifier>EISSN: 2040-4719</identifier><identifier>DOI: 10.1017/S2040470017000073</identifier><language>eng</language><publisher>Cambridge, UK: Cambridge University Press</publisher><subject>Accuracy ; Agriculture ; Canopies ; Crop Sensors and Sensing ; Crops ; Cylinders ; Data acquisition ; Global navigation satellite system ; Lasers ; Lidar ; Meteorology ; Methods ; Scanners ; Sensors ; Software ; Terrestrial ecosystems ; Tree crops</subject><ispartof>Advances in animal biosciences, 2017-07, Vol.8 (2), p.178-182</ispartof><rights>The Animal Consortium 2017</rights><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c1623-32512c63a502cdfaac1b4884bd81665abdf56e8f9bbad32c53d2df291fa5f0aa3</citedby><cites>FETCH-LOGICAL-c1623-32512c63a502cdfaac1b4884bd81665abdf56e8f9bbad32c53d2df291fa5f0aa3</cites></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktohtml>$$Uhttps://www.cambridge.org/core/product/identifier/S2040470017000073/type/journal_article$$EHTML$$P50$$Gcambridge$$H</linktohtml><link.rule.ids>164,314,777,781,27905,27906,55609</link.rule.ids></links><search><creatorcontrib>Karp, F. H. S.</creatorcontrib><creatorcontrib>Colaço, A. F.</creatorcontrib><creatorcontrib>Trevisan, R. G.</creatorcontrib><creatorcontrib>Molin, J. P.</creatorcontrib><title>Accuracy assessment of a mobile terrestrial laser scanner for tree crops</title><title>Advances in animal biosciences</title><addtitle>Advances in Animal Biosciences</addtitle><description>LiDAR technology is one option to collect spatial data about canopy geometry in many crops. However, the method of data acquisition includes many errors related to the LiDAR sensor, the GNSS receiver and the data acquisition set up. Therefore, the objective of this study was to evaluate the errors involved in the data acquisition from a mobile terrestrial laser scanner (MTLS). Regular shaped objects were scanned with a developed MTLS in two different tests: i) with the system mounted on a vehicle and ii) with the system mounted on a platform running over a rail. The errors of area estimation varied between 0.001 and 0.071 m2 for the circle, square and triangle objects. The errors on volume estimations were between 0.0003 and 0.0017 m3, for cylinders and truncated cone.</description><subject>Accuracy</subject><subject>Agriculture</subject><subject>Canopies</subject><subject>Crop Sensors and Sensing</subject><subject>Crops</subject><subject>Cylinders</subject><subject>Data acquisition</subject><subject>Global navigation satellite system</subject><subject>Lasers</subject><subject>Lidar</subject><subject>Meteorology</subject><subject>Methods</subject><subject>Scanners</subject><subject>Sensors</subject><subject>Software</subject><subject>Terrestrial ecosystems</subject><subject>Tree crops</subject><issn>2040-4700</issn><issn>2040-4719</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2017</creationdate><recordtype>article</recordtype><sourceid>8G5</sourceid><sourceid>ABUWG</sourceid><sourceid>AFKRA</sourceid><sourceid>AZQEC</sourceid><sourceid>BENPR</sourceid><sourceid>CCPQU</sourceid><sourceid>DWQXO</sourceid><sourceid>GNUQQ</sourceid><sourceid>GUQSH</sourceid><sourceid>M2O</sourceid><recordid>eNp1UMtKA0EQHETBEPMB3gY8r85jZx_HENQIAQ_qeel5yYZ9xO7NIX_vhAQRxL500VRVdxdjt1LcSyHLhzclcpGXImGRqtQXbHYcZXkp68sfLMQ1WxBtjxxTCV2VM7ZeOrdHcAcORIGoD8PEx8iB96Ntu8CngBhowhY63gEF5ORgGFKPI_IJQ-AOxx3dsKsIHYXFuc_Zx9Pj-2qdbV6fX1bLTeZkoXSmlZHKFRqMUM5HACdtXlW59ZUsCgPWR1OEKtbWgtfKGe2Vj6qWEUwUAHrO7k6-Oxy_9umyZjvucUgrG1mnP0udFzqx5ImVbiPCEJsdtj3goZGiOWbW_MksafRZA73F1n-GX9b_qr4BLFJtdA</recordid><startdate>20170701</startdate><enddate>20170701</enddate><creator>Karp, F. H. S.</creator><creator>Colaço, A. F.</creator><creator>Trevisan, R. G.</creator><creator>Molin, J. P.</creator><general>Cambridge University Press</general><scope>AAYXX</scope><scope>CITATION</scope><scope>3V.</scope><scope>7RV</scope><scope>7X2</scope><scope>7X7</scope><scope>7XB</scope><scope>8AO</scope><scope>8FE</scope><scope>8FH</scope><scope>8FI</scope><scope>8FJ</scope><scope>8FK</scope><scope>8G5</scope><scope>ABUWG</scope><scope>AEUYN</scope><scope>AFKRA</scope><scope>ATCPS</scope><scope>AZQEC</scope><scope>BBNVY</scope><scope>BENPR</scope><scope>BHPHI</scope><scope>CCPQU</scope><scope>DWQXO</scope><scope>FYUFA</scope><scope>GHDGH</scope><scope>GNUQQ</scope><scope>GUQSH</scope><scope>HCIFZ</scope><scope>K9.</scope><scope>KB0</scope><scope>LK8</scope><scope>M0K</scope><scope>M0S</scope><scope>M2O</scope><scope>M7P</scope><scope>MBDVC</scope><scope>NAPCQ</scope><scope>PADUT</scope><scope>PQEST</scope><scope>PQQKQ</scope><scope>PQUKI</scope><scope>Q9U</scope></search><sort><creationdate>20170701</creationdate><title>Accuracy assessment of a mobile terrestrial laser scanner for tree crops</title><author>Karp, F. H. S. ; Colaço, A. F. ; Trevisan, R. G. ; Molin, J. P.</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c1623-32512c63a502cdfaac1b4884bd81665abdf56e8f9bbad32c53d2df291fa5f0aa3</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2017</creationdate><topic>Accuracy</topic><topic>Agriculture</topic><topic>Canopies</topic><topic>Crop Sensors and Sensing</topic><topic>Crops</topic><topic>Cylinders</topic><topic>Data acquisition</topic><topic>Global navigation satellite system</topic><topic>Lasers</topic><topic>Lidar</topic><topic>Meteorology</topic><topic>Methods</topic><topic>Scanners</topic><topic>Sensors</topic><topic>Software</topic><topic>Terrestrial ecosystems</topic><topic>Tree crops</topic><toplevel>online_resources</toplevel><creatorcontrib>Karp, F. H. S.</creatorcontrib><creatorcontrib>Colaço, A. F.</creatorcontrib><creatorcontrib>Trevisan, R. G.</creatorcontrib><creatorcontrib>Molin, J. P.</creatorcontrib><collection>CrossRef</collection><collection>ProQuest Central (Corporate)</collection><collection>ProQuest Nursing & Allied Health Database</collection><collection>Agricultural Science Collection</collection><collection>ProQuest Health & Medical Collection</collection><collection>ProQuest Central (purchase pre-March 2016)</collection><collection>ProQuest Pharma Collection</collection><collection>ProQuest SciTech Collection</collection><collection>ProQuest Natural Science Collection</collection><collection>Hospital Premium Collection</collection><collection>Hospital Premium Collection (Alumni Edition)</collection><collection>ProQuest Central (Alumni) (purchase pre-March 2016)</collection><collection>Research Library (Alumni Edition)</collection><collection>ProQuest Central (Alumni)</collection><collection>ProQuest One Sustainability</collection><collection>ProQuest Central</collection><collection>Agricultural & Environmental Science Collection</collection><collection>ProQuest Central Essentials</collection><collection>Biological Science Collection</collection><collection>ProQuest Central</collection><collection>ProQuest Natural Science Collection</collection><collection>ProQuest One Community College</collection><collection>ProQuest Central</collection><collection>Health Research Premium Collection</collection><collection>Health Research Premium Collection (Alumni)</collection><collection>ProQuest Central Student</collection><collection>Research Library Prep</collection><collection>SciTech Premium Collection</collection><collection>ProQuest Health & Medical Complete (Alumni)</collection><collection>Nursing & Allied Health Database (Alumni Edition)</collection><collection>ProQuest Biological Science Collection</collection><collection>Agriculture Science Database</collection><collection>Health & Medical Collection (Alumni Edition)</collection><collection>ProQuest Research Library</collection><collection>ProQuest Biological Science Journals</collection><collection>Research Library (Corporate)</collection><collection>Nursing & Allied Health Premium</collection><collection>Research Library China</collection><collection>ProQuest One Academic Eastern Edition (DO NOT USE)</collection><collection>ProQuest One Academic</collection><collection>ProQuest One Academic UKI Edition</collection><collection>ProQuest Central Basic</collection><jtitle>Advances in animal biosciences</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Karp, F. H. S.</au><au>Colaço, A. F.</au><au>Trevisan, R. G.</au><au>Molin, J. P.</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Accuracy assessment of a mobile terrestrial laser scanner for tree crops</atitle><jtitle>Advances in animal biosciences</jtitle><addtitle>Advances in Animal Biosciences</addtitle><date>2017-07-01</date><risdate>2017</risdate><volume>8</volume><issue>2</issue><spage>178</spage><epage>182</epage><pages>178-182</pages><issn>2040-4700</issn><eissn>2040-4719</eissn><abstract>LiDAR technology is one option to collect spatial data about canopy geometry in many crops. However, the method of data acquisition includes many errors related to the LiDAR sensor, the GNSS receiver and the data acquisition set up. Therefore, the objective of this study was to evaluate the errors involved in the data acquisition from a mobile terrestrial laser scanner (MTLS). Regular shaped objects were scanned with a developed MTLS in two different tests: i) with the system mounted on a vehicle and ii) with the system mounted on a platform running over a rail. The errors of area estimation varied between 0.001 and 0.071 m2 for the circle, square and triangle objects. The errors on volume estimations were between 0.0003 and 0.0017 m3, for cylinders and truncated cone.</abstract><cop>Cambridge, UK</cop><pub>Cambridge University Press</pub><doi>10.1017/S2040470017000073</doi><tpages>5</tpages></addata></record> |
| fulltext | fulltext |
| identifier | ISSN: 2040-4700 |
| ispartof | Advances in animal biosciences, 2017-07, Vol.8 (2), p.178-182 |
| issn | 2040-4700 2040-4719 |
| language | eng |
| recordid | cdi_proquest_journals_1904073463 |
| source | Cambridge Journals Online |
| subjects | Accuracy Agriculture Canopies Crop Sensors and Sensing Crops Cylinders Data acquisition Global navigation satellite system Lasers Lidar Meteorology Methods Scanners Sensors Software Terrestrial ecosystems Tree crops |
| title | Accuracy assessment of a mobile terrestrial laser scanner for tree crops |
| url | https://sfx.bib-bvb.de/sfx_tum?ctx_ver=Z39.88-2004&ctx_enc=info:ofi/enc:UTF-8&ctx_tim=2025-01-17T16%3A42%3A03IST&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=Accuracy%20assessment%20of%20a%20mobile%20terrestrial%20laser%20scanner%20for%20tree%20crops&rft.jtitle=Advances%20in%20animal%20biosciences&rft.au=Karp,%20F.%20H.%20S.&rft.date=2017-07-01&rft.volume=8&rft.issue=2&rft.spage=178&rft.epage=182&rft.pages=178-182&rft.issn=2040-4700&rft.eissn=2040-4719&rft_id=info:doi/10.1017/S2040470017000073&rft_dat=%3Cproquest_cross%3E1904073463%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=1904073463&rft_id=info:pmid/&rft_cupid=10_1017_S2040470017000073&rfr_iscdi=true |