Loading…
Nighttime Mobile Laser Scanning and 3D Luminance Measurement: Verifying the Outcome of Roadside Tree Pruning with Mobile Measurement of the Road Environment
Roadside vegetation can affect the performance of installed road lighting. We demonstrate a workflow in which a car-mounted measurement system is used to assess the light-obstructing effect of roadside vegetation. The mobile mapping system (MMS) includes a panoramic camera system, laser scanner, ine...
Saved in:
Published in: | ISPRS international journal of geo-information 2020-07, Vol.9 (7), p.455 |
---|---|
Main Authors: | , , , , , , |
Format: | Article |
Language: | English |
Subjects: | |
Citations: | Items that this one cites Items that cite this one |
Online Access: | Get full text |
Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
cited_by | cdi_FETCH-LOGICAL-c364t-73a50c5177603c8285a694ba2748157e31c24b135ecb3bc30a63b2c4ef7051293 |
---|---|
cites | cdi_FETCH-LOGICAL-c364t-73a50c5177603c8285a694ba2748157e31c24b135ecb3bc30a63b2c4ef7051293 |
container_end_page | |
container_issue | 7 |
container_start_page | 455 |
container_title | ISPRS international journal of geo-information |
container_volume | 9 |
creator | Maksimainen, Mikko Vaaja, Matti T. Kurkela, Matti Virtanen, Juho-Pekka Julin, Arttu Jaalama, Kaisa Hyyppä, Hannu |
description | Roadside vegetation can affect the performance of installed road lighting. We demonstrate a workflow in which a car-mounted measurement system is used to assess the light-obstructing effect of roadside vegetation. The mobile mapping system (MMS) includes a panoramic camera system, laser scanner, inertial measurement unit, and satellite positioning system. The workflow and the measurement system were applied to a road section of Munkkiniemenranta, Helsinki, Finland, in 2015 and 2019. The relative luminance distribution on a road surface and the obstructing vegetation were measured before and after roadside vegetation pruning applying a luminance-calibrated mobile mapping system. The difference between the two measurements is presented, and the opportunities provided by the mobile 3D luminance measurement system are discussed. |
doi_str_mv | 10.3390/ijgi9070455 |
format | article |
fullrecord | <record><control><sourceid>proquest_doaj_</sourceid><recordid>TN_cdi_doaj_primary_oai_doaj_org_article_061ae63e16e6403592f0f7e2efe587c5</recordid><sourceformat>XML</sourceformat><sourcesystem>PC</sourcesystem><doaj_id>oai_doaj_org_article_061ae63e16e6403592f0f7e2efe587c5</doaj_id><sourcerecordid>2426423330</sourcerecordid><originalsourceid>FETCH-LOGICAL-c364t-73a50c5177603c8285a694ba2748157e31c24b135ecb3bc30a63b2c4ef7051293</originalsourceid><addsrcrecordid>eNpNkd1qGzEQhZeSQEKaq7yAoJfFqaTRz27uSpo0BrcO-bsVWnnWlrGlVNK25F3ysN2N0-K5mWE45zsDU1VnjJ4DNPSLXy99QzUVUn6ojjnndNI0ShzszUfVac5rOlTDoBb0uHr96ZerUvwWyY_Y-g2Smc2YyL2zIfiwJDYsCHwjs37rgw1ukKHNfcIthnJBnjD57mXUlRWSeV9cHEixI3fRLrJfIHlIiOQ29W-wP76s_uXscUbD6B9N5Cr89imGcf-xOuzsJuPpez-pHq-vHi5vJrP59-nl19nEgRJlosFK6iTTWlFwNa-lVY1oLdeiZlIjMMdFy0Cia6F1QK2CljuBnaaS8QZOqumOu4h2bZ6T39r0YqL15m0R09LYVLzboKGKWVSATKESFGTDO9pp5NihrLWTA-vTjvWc4q8eczHr2KcwnG-44EpwAKCD6vNO5VLMOWH3P5VRM37T7H0T_gIwtZJU</addsrcrecordid><sourcetype>Open Website</sourcetype><iscdi>true</iscdi><recordtype>article</recordtype><pqid>2426423330</pqid></control><display><type>article</type><title>Nighttime Mobile Laser Scanning and 3D Luminance Measurement: Verifying the Outcome of Roadside Tree Pruning with Mobile Measurement of the Road Environment</title><source>Publicly Available Content Database</source><creator>Maksimainen, Mikko ; Vaaja, Matti T. ; Kurkela, Matti ; Virtanen, Juho-Pekka ; Julin, Arttu ; Jaalama, Kaisa ; Hyyppä, Hannu</creator><creatorcontrib>Maksimainen, Mikko ; Vaaja, Matti T. ; Kurkela, Matti ; Virtanen, Juho-Pekka ; Julin, Arttu ; Jaalama, Kaisa ; Hyyppä, Hannu</creatorcontrib><description>Roadside vegetation can affect the performance of installed road lighting. We demonstrate a workflow in which a car-mounted measurement system is used to assess the light-obstructing effect of roadside vegetation. The mobile mapping system (MMS) includes a panoramic camera system, laser scanner, inertial measurement unit, and satellite positioning system. The workflow and the measurement system were applied to a road section of Munkkiniemenranta, Helsinki, Finland, in 2015 and 2019. The relative luminance distribution on a road surface and the obstructing vegetation were measured before and after roadside vegetation pruning applying a luminance-calibrated mobile mapping system. The difference between the two measurements is presented, and the opportunities provided by the mobile 3D luminance measurement system are discussed.</description><identifier>ISSN: 2220-9964</identifier><identifier>EISSN: 2220-9964</identifier><identifier>DOI: 10.3390/ijgi9070455</identifier><language>eng</language><publisher>Basel: MDPI AG</publisher><subject>Blocking ; Cameras ; Inertial platforms ; Laboratories ; Laser applications ; Lasers ; Light ; Light effects ; Lighting ; Luminance distribution ; luminance measurement ; Mapping ; Measurement ; mobile mapping system ; Panoramic cameras ; Positioning systems ; Pruning ; road lighting ; Roads ; Roads & highways ; roadside vegetation ; Roadsides ; Trees ; Vegetation ; Workflow</subject><ispartof>ISPRS international journal of geo-information, 2020-07, Vol.9 (7), p.455</ispartof><rights>2020. This work is licensed under http://creativecommons.org/licenses/by/3.0/ (the “License”). Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License.</rights><lds50>peer_reviewed</lds50><oa>free_for_read</oa><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c364t-73a50c5177603c8285a694ba2748157e31c24b135ecb3bc30a63b2c4ef7051293</citedby><cites>FETCH-LOGICAL-c364t-73a50c5177603c8285a694ba2748157e31c24b135ecb3bc30a63b2c4ef7051293</cites><orcidid>0000-0001-9907-0516 ; 0000-0001-6609-372X ; 0000-0003-0281-9717</orcidid></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktopdf>$$Uhttps://www.proquest.com/docview/2426423330/fulltextPDF?pq-origsite=primo$$EPDF$$P50$$Gproquest$$Hfree_for_read</linktopdf><linktohtml>$$Uhttps://www.proquest.com/docview/2426423330?pq-origsite=primo$$EHTML$$P50$$Gproquest$$Hfree_for_read</linktohtml><link.rule.ids>314,776,780,25732,27903,27904,36991,44569,74872</link.rule.ids></links><search><creatorcontrib>Maksimainen, Mikko</creatorcontrib><creatorcontrib>Vaaja, Matti T.</creatorcontrib><creatorcontrib>Kurkela, Matti</creatorcontrib><creatorcontrib>Virtanen, Juho-Pekka</creatorcontrib><creatorcontrib>Julin, Arttu</creatorcontrib><creatorcontrib>Jaalama, Kaisa</creatorcontrib><creatorcontrib>Hyyppä, Hannu</creatorcontrib><title>Nighttime Mobile Laser Scanning and 3D Luminance Measurement: Verifying the Outcome of Roadside Tree Pruning with Mobile Measurement of the Road Environment</title><title>ISPRS international journal of geo-information</title><description>Roadside vegetation can affect the performance of installed road lighting. We demonstrate a workflow in which a car-mounted measurement system is used to assess the light-obstructing effect of roadside vegetation. The mobile mapping system (MMS) includes a panoramic camera system, laser scanner, inertial measurement unit, and satellite positioning system. The workflow and the measurement system were applied to a road section of Munkkiniemenranta, Helsinki, Finland, in 2015 and 2019. The relative luminance distribution on a road surface and the obstructing vegetation were measured before and after roadside vegetation pruning applying a luminance-calibrated mobile mapping system. The difference between the two measurements is presented, and the opportunities provided by the mobile 3D luminance measurement system are discussed.</description><subject>Blocking</subject><subject>Cameras</subject><subject>Inertial platforms</subject><subject>Laboratories</subject><subject>Laser applications</subject><subject>Lasers</subject><subject>Light</subject><subject>Light effects</subject><subject>Lighting</subject><subject>Luminance distribution</subject><subject>luminance measurement</subject><subject>Mapping</subject><subject>Measurement</subject><subject>mobile mapping system</subject><subject>Panoramic cameras</subject><subject>Positioning systems</subject><subject>Pruning</subject><subject>road lighting</subject><subject>Roads</subject><subject>Roads & highways</subject><subject>roadside vegetation</subject><subject>Roadsides</subject><subject>Trees</subject><subject>Vegetation</subject><subject>Workflow</subject><issn>2220-9964</issn><issn>2220-9964</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2020</creationdate><recordtype>article</recordtype><sourceid>PIMPY</sourceid><sourceid>DOA</sourceid><recordid>eNpNkd1qGzEQhZeSQEKaq7yAoJfFqaTRz27uSpo0BrcO-bsVWnnWlrGlVNK25F3ysN2N0-K5mWE45zsDU1VnjJ4DNPSLXy99QzUVUn6ojjnndNI0ShzszUfVac5rOlTDoBb0uHr96ZerUvwWyY_Y-g2Smc2YyL2zIfiwJDYsCHwjs37rgw1ukKHNfcIthnJBnjD57mXUlRWSeV9cHEixI3fRLrJfIHlIiOQ29W-wP76s_uXscUbD6B9N5Cr89imGcf-xOuzsJuPpez-pHq-vHi5vJrP59-nl19nEgRJlosFK6iTTWlFwNa-lVY1oLdeiZlIjMMdFy0Cia6F1QK2CljuBnaaS8QZOqumOu4h2bZ6T39r0YqL15m0R09LYVLzboKGKWVSATKESFGTDO9pp5NihrLWTA-vTjvWc4q8eczHr2KcwnG-44EpwAKCD6vNO5VLMOWH3P5VRM37T7H0T_gIwtZJU</recordid><startdate>20200701</startdate><enddate>20200701</enddate><creator>Maksimainen, Mikko</creator><creator>Vaaja, Matti T.</creator><creator>Kurkela, Matti</creator><creator>Virtanen, Juho-Pekka</creator><creator>Julin, Arttu</creator><creator>Jaalama, Kaisa</creator><creator>Hyyppä, Hannu</creator><general>MDPI AG</general><scope>AAYXX</scope><scope>CITATION</scope><scope>7SC</scope><scope>7UA</scope><scope>8FD</scope><scope>8FE</scope><scope>8FG</scope><scope>ABJCF</scope><scope>ABUWG</scope><scope>AFKRA</scope><scope>ARAPS</scope><scope>AZQEC</scope><scope>BENPR</scope><scope>BGLVJ</scope><scope>BHPHI</scope><scope>BKSAR</scope><scope>C1K</scope><scope>CCPQU</scope><scope>DWQXO</scope><scope>F1W</scope><scope>FR3</scope><scope>H96</scope><scope>HCIFZ</scope><scope>JQ2</scope><scope>KR7</scope><scope>L.G</scope><scope>L6V</scope><scope>L7M</scope><scope>L~C</scope><scope>L~D</scope><scope>M7S</scope><scope>P5Z</scope><scope>P62</scope><scope>PCBAR</scope><scope>PIMPY</scope><scope>PQEST</scope><scope>PQQKQ</scope><scope>PQUKI</scope><scope>PTHSS</scope><scope>DOA</scope><orcidid>https://orcid.org/0000-0001-9907-0516</orcidid><orcidid>https://orcid.org/0000-0001-6609-372X</orcidid><orcidid>https://orcid.org/0000-0003-0281-9717</orcidid></search><sort><creationdate>20200701</creationdate><title>Nighttime Mobile Laser Scanning and 3D Luminance Measurement: Verifying the Outcome of Roadside Tree Pruning with Mobile Measurement of the Road Environment</title><author>Maksimainen, Mikko ; Vaaja, Matti T. ; Kurkela, Matti ; Virtanen, Juho-Pekka ; Julin, Arttu ; Jaalama, Kaisa ; Hyyppä, Hannu</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c364t-73a50c5177603c8285a694ba2748157e31c24b135ecb3bc30a63b2c4ef7051293</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2020</creationdate><topic>Blocking</topic><topic>Cameras</topic><topic>Inertial platforms</topic><topic>Laboratories</topic><topic>Laser applications</topic><topic>Lasers</topic><topic>Light</topic><topic>Light effects</topic><topic>Lighting</topic><topic>Luminance distribution</topic><topic>luminance measurement</topic><topic>Mapping</topic><topic>Measurement</topic><topic>mobile mapping system</topic><topic>Panoramic cameras</topic><topic>Positioning systems</topic><topic>Pruning</topic><topic>road lighting</topic><topic>Roads</topic><topic>Roads & highways</topic><topic>roadside vegetation</topic><topic>Roadsides</topic><topic>Trees</topic><topic>Vegetation</topic><topic>Workflow</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Maksimainen, Mikko</creatorcontrib><creatorcontrib>Vaaja, Matti T.</creatorcontrib><creatorcontrib>Kurkela, Matti</creatorcontrib><creatorcontrib>Virtanen, Juho-Pekka</creatorcontrib><creatorcontrib>Julin, Arttu</creatorcontrib><creatorcontrib>Jaalama, Kaisa</creatorcontrib><creatorcontrib>Hyyppä, Hannu</creatorcontrib><collection>CrossRef</collection><collection>Computer and Information Systems Abstracts</collection><collection>Water Resources Abstracts</collection><collection>Technology Research Database</collection><collection>ProQuest SciTech Collection</collection><collection>ProQuest Technology Collection</collection><collection>Materials Science & Engineering Collection</collection><collection>ProQuest Central (Alumni)</collection><collection>ProQuest Central</collection><collection>Advanced Technologies & Aerospace Collection</collection><collection>ProQuest Central Essentials</collection><collection>ProQuest Central</collection><collection>Technology Collection</collection><collection>Natural Science Collection</collection><collection>Earth, Atmospheric & Aquatic Science Collection</collection><collection>Environmental Sciences and Pollution Management</collection><collection>ProQuest One Community College</collection><collection>ProQuest Central</collection><collection>ASFA: Aquatic Sciences and Fisheries Abstracts</collection><collection>Engineering Research Database</collection><collection>Aquatic Science & Fisheries Abstracts (ASFA) 2: Ocean Technology, Policy & Non-Living Resources</collection><collection>SciTech Premium Collection</collection><collection>ProQuest Computer Science Collection</collection><collection>Civil Engineering Abstracts</collection><collection>Aquatic Science & Fisheries Abstracts (ASFA) Professional</collection><collection>ProQuest Engineering Collection</collection><collection>Advanced Technologies Database with Aerospace</collection><collection>Computer and Information Systems Abstracts Academic</collection><collection>Computer and Information Systems Abstracts Professional</collection><collection>Engineering Database</collection><collection>Advanced Technologies & Aerospace Database</collection><collection>ProQuest Advanced Technologies & Aerospace Collection</collection><collection>Earth, Atmospheric & Aquatic Science Database</collection><collection>Publicly Available Content Database</collection><collection>ProQuest One Academic Eastern Edition (DO NOT USE)</collection><collection>ProQuest One Academic</collection><collection>ProQuest One Academic UKI Edition</collection><collection>Engineering Collection</collection><collection>DOAJ Directory of Open Access Journals</collection><jtitle>ISPRS international journal of geo-information</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Maksimainen, Mikko</au><au>Vaaja, Matti T.</au><au>Kurkela, Matti</au><au>Virtanen, Juho-Pekka</au><au>Julin, Arttu</au><au>Jaalama, Kaisa</au><au>Hyyppä, Hannu</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Nighttime Mobile Laser Scanning and 3D Luminance Measurement: Verifying the Outcome of Roadside Tree Pruning with Mobile Measurement of the Road Environment</atitle><jtitle>ISPRS international journal of geo-information</jtitle><date>2020-07-01</date><risdate>2020</risdate><volume>9</volume><issue>7</issue><spage>455</spage><pages>455-</pages><issn>2220-9964</issn><eissn>2220-9964</eissn><abstract>Roadside vegetation can affect the performance of installed road lighting. We demonstrate a workflow in which a car-mounted measurement system is used to assess the light-obstructing effect of roadside vegetation. The mobile mapping system (MMS) includes a panoramic camera system, laser scanner, inertial measurement unit, and satellite positioning system. The workflow and the measurement system were applied to a road section of Munkkiniemenranta, Helsinki, Finland, in 2015 and 2019. The relative luminance distribution on a road surface and the obstructing vegetation were measured before and after roadside vegetation pruning applying a luminance-calibrated mobile mapping system. The difference between the two measurements is presented, and the opportunities provided by the mobile 3D luminance measurement system are discussed.</abstract><cop>Basel</cop><pub>MDPI AG</pub><doi>10.3390/ijgi9070455</doi><orcidid>https://orcid.org/0000-0001-9907-0516</orcidid><orcidid>https://orcid.org/0000-0001-6609-372X</orcidid><orcidid>https://orcid.org/0000-0003-0281-9717</orcidid><oa>free_for_read</oa></addata></record> |
fulltext | fulltext |
identifier | ISSN: 2220-9964 |
ispartof | ISPRS international journal of geo-information, 2020-07, Vol.9 (7), p.455 |
issn | 2220-9964 2220-9964 |
language | eng |
recordid | cdi_doaj_primary_oai_doaj_org_article_061ae63e16e6403592f0f7e2efe587c5 |
source | Publicly Available Content Database |
subjects | Blocking Cameras Inertial platforms Laboratories Laser applications Lasers Light Light effects Lighting Luminance distribution luminance measurement Mapping Measurement mobile mapping system Panoramic cameras Positioning systems Pruning road lighting Roads Roads & highways roadside vegetation Roadsides Trees Vegetation Workflow |
title | Nighttime Mobile Laser Scanning and 3D Luminance Measurement: Verifying the Outcome of Roadside Tree Pruning with Mobile Measurement of the Road Environment |
url | http://sfxeu10.hosted.exlibrisgroup.com/loughborough?ctx_ver=Z39.88-2004&ctx_enc=info:ofi/enc:UTF-8&ctx_tim=2025-01-25T23%3A19%3A18IST&url_ver=Z39.88-2004&url_ctx_fmt=infofi/fmt:kev:mtx:ctx&rfr_id=info:sid/primo.exlibrisgroup.com:primo3-Article-proquest_doaj_&rft_val_fmt=info:ofi/fmt:kev:mtx:journal&rft.genre=article&rft.atitle=Nighttime%20Mobile%20Laser%20Scanning%20and%203D%20Luminance%20Measurement:%20Verifying%20the%20Outcome%20of%20Roadside%20Tree%20Pruning%20with%20Mobile%20Measurement%20of%20the%20Road%20Environment&rft.jtitle=ISPRS%20international%20journal%20of%20geo-information&rft.au=Maksimainen,%20Mikko&rft.date=2020-07-01&rft.volume=9&rft.issue=7&rft.spage=455&rft.pages=455-&rft.issn=2220-9964&rft.eissn=2220-9964&rft_id=info:doi/10.3390/ijgi9070455&rft_dat=%3Cproquest_doaj_%3E2426423330%3C/proquest_doaj_%3E%3Cgrp_id%3Ecdi_FETCH-LOGICAL-c364t-73a50c5177603c8285a694ba2748157e31c24b135ecb3bc30a63b2c4ef7051293%3C/grp_id%3E%3Coa%3E%3C/oa%3E%3Curl%3E%3C/url%3E&rft_id=info:oai/&rft_pqid=2426423330&rft_id=info:pmid/&rfr_iscdi=true |