A study of Japanese landscapes using structure from motion derived DSMs and DEMs based on historical aerial photographs: New opportunities for vegetation monitoring and diachronic geomorphology
SfM-MVS (Structure from Motion and Multiple-View Stereophotogrammetry) is part of a series of technological progresses brought to the field of earth-sciences during the last decade or so, which has allowed geoscientists to collect unprecedented precise and extensive DSMs (Digital Surface Model) for...
Gespeichert in:
Veröffentlicht in: | Geomorphology (Amsterdam, Netherlands) Netherlands), 2015-08, Vol.242, p.11-20 |
---|---|
Hauptverfasser: | , , |
Format: | Artikel |
Sprache: | eng |
Schlagworte: | |
Online-Zugang: | Volltext |
Tags: |
Tag hinzufügen
Keine Tags, Fügen Sie den ersten Tag hinzu!
|
container_end_page | 20 |
---|---|
container_issue | |
container_start_page | 11 |
container_title | Geomorphology (Amsterdam, Netherlands) |
container_volume | 242 |
creator | Gomez, Christopher Hayakawa, Yuichi Obanawa, Hiroyuki |
description | SfM-MVS (Structure from Motion and Multiple-View Stereophotogrammetry) is part of a series of technological progresses brought to the field of earth-sciences during the last decade or so, which has allowed geoscientists to collect unprecedented precise and extensive DSMs (Digital Surface Model) for virtually no cost, rivaling LiDAR (Light Detection and Ranging) technology. Previous work on SfM-MVS in geosciences has been solely exploring data acquired for the purpose of SfM-MVS, but no research has been done in the exploration of photographic archives for geomorphological purposes. Therefore, the present publications aims to present the usage of SfM-MVS applied to historical aerial photographs in Japan, in order to (1) demonstrate the potentials to extract topographical and vegetation data and (2) to present the potential for chronological analysis of landscape evolution. SfM-MVS was implemented on black-and-white and colour aerial photographs of 1966, 1976, 1996, 2006 and 2013, using the commercial software Photoscanpro®. Firstly, the photographs were masked, tied to GPS points; secondly the positions of the cameras and the 3D pointcloud were calculated; and thirdly the 3D surface was created. Data were then exported in the GIS software ArcGIS for analysis. Results also proved satisfactory for the reconstruction of 3D past-geomorphological landscapes in coastal areas, riverine areas, and in hilly and volcanic areas. They also prove that the height of trees and large vegetation features can also be calculated from aerial photographs alone. Diachronic analysis of the evolution in 3D landforms presented more difficulties, because the resolution of the early photographs was lower than the recent ones. Volume and surface calculations should therefore be conducted carefully. Although the method holds merit and great promise in the exploration of active landscapes that have widely changed during the 20th century; the authors have also reflected on the issues linked to large datasets, mostly because the processing of these large datasets is still in need of improvement. Moreover there is no proof that an ever increasing resolution brings any major advance to the geomorphological paradigms.
•Using ‘Structure from Motion’ past geomorphic landscapes can be recreated.•Analysis of geomorphic changes using aerial photographs•‘Structure from Motion’ has to be used carefully as it can produce 3D models that aren't accurate. |
doi_str_mv | 10.1016/j.geomorph.2015.02.021 |
format | Article |
fullrecord | <record><control><sourceid>proquest_cross</sourceid><recordid>TN_cdi_proquest_miscellaneous_1770324170</recordid><sourceformat>XML</sourceformat><sourcesystem>PC</sourcesystem><els_id>S0169555X1500104X</els_id><sourcerecordid>1735919013</sourcerecordid><originalsourceid>FETCH-LOGICAL-a585t-8e419d3e2d38b377b1185f3b42c7402971478d9956cd7c83623a5ecce8f1bffb3</originalsourceid><addsrcrecordid>eNqFUU1v1DAQjRCVWFr-AvKRSxY7juOEE1U_-FBbDoDUm-XYk8SrJA62s2h_Hv-MWZaeK4081vN7b_Q8WfaW0S2jrHq_2_bgJx-WYVtQJra0wGIvsg2rZZFXjXh8mW2Q2ORCiMdX2esYd5TSUjZ0k_25JDGt9kB8R77qRc8QgYx6ttHoBSJZo5t7pITVpDUA6YKfyOST8zOxENweLLn-fh8JSsj1DV5aHRHD58HF5IMzeiQamdiWwSffB70M8QN5gN_EL4sPaZ1dcjir84HsoYek_9lPHnE0wPlHc-u0GQJihjzl9aPvDxfZWafHCG_-9_Ps5-3Nj6vP-d23T1-uLu9yLWqR8hpK1lgOheV1y6VsGatFx9uyMLKkRSNZKWvbNKIyVpqaVwXXAoyBumNt17X8PHt38l2C_7VCTGpy0cCInwV-jYpJSXlRMjyfp3LRsIYyjtTqRDXBxxigU0twkw4Hxag6rlft1FNcdVyvogUWQ-HHkxAw895BUNE4mA1YF8AkZb17zuIv83y3RA</addsrcrecordid><sourcetype>Aggregation Database</sourcetype><iscdi>true</iscdi><recordtype>article</recordtype><pqid>1735919013</pqid></control><display><type>article</type><title>A study of Japanese landscapes using structure from motion derived DSMs and DEMs based on historical aerial photographs: New opportunities for vegetation monitoring and diachronic geomorphology</title><source>ScienceDirect Journals (5 years ago - present)</source><creator>Gomez, Christopher ; Hayakawa, Yuichi ; Obanawa, Hiroyuki</creator><creatorcontrib>Gomez, Christopher ; Hayakawa, Yuichi ; Obanawa, Hiroyuki</creatorcontrib><description>SfM-MVS (Structure from Motion and Multiple-View Stereophotogrammetry) is part of a series of technological progresses brought to the field of earth-sciences during the last decade or so, which has allowed geoscientists to collect unprecedented precise and extensive DSMs (Digital Surface Model) for virtually no cost, rivaling LiDAR (Light Detection and Ranging) technology. Previous work on SfM-MVS in geosciences has been solely exploring data acquired for the purpose of SfM-MVS, but no research has been done in the exploration of photographic archives for geomorphological purposes. Therefore, the present publications aims to present the usage of SfM-MVS applied to historical aerial photographs in Japan, in order to (1) demonstrate the potentials to extract topographical and vegetation data and (2) to present the potential for chronological analysis of landscape evolution. SfM-MVS was implemented on black-and-white and colour aerial photographs of 1966, 1976, 1996, 2006 and 2013, using the commercial software Photoscanpro®. Firstly, the photographs were masked, tied to GPS points; secondly the positions of the cameras and the 3D pointcloud were calculated; and thirdly the 3D surface was created. Data were then exported in the GIS software ArcGIS for analysis. Results also proved satisfactory for the reconstruction of 3D past-geomorphological landscapes in coastal areas, riverine areas, and in hilly and volcanic areas. They also prove that the height of trees and large vegetation features can also be calculated from aerial photographs alone. Diachronic analysis of the evolution in 3D landforms presented more difficulties, because the resolution of the early photographs was lower than the recent ones. Volume and surface calculations should therefore be conducted carefully. Although the method holds merit and great promise in the exploration of active landscapes that have widely changed during the 20th century; the authors have also reflected on the issues linked to large datasets, mostly because the processing of these large datasets is still in need of improvement. Moreover there is no proof that an ever increasing resolution brings any major advance to the geomorphological paradigms.
•Using ‘Structure from Motion’ past geomorphic landscapes can be recreated.•Analysis of geomorphic changes using aerial photographs•‘Structure from Motion’ has to be used carefully as it can produce 3D models that aren't accurate.</description><identifier>ISSN: 0169-555X</identifier><identifier>EISSN: 1872-695X</identifier><identifier>DOI: 10.1016/j.geomorph.2015.02.021</identifier><language>eng</language><publisher>Elsevier B.V</publisher><subject>Aerial photographs ; Aerials ; Diachronic analysis ; Geomorphology ; Geomorphometry ; GIS ; Historic ; Landscapes ; Mathematical models ; Photogrammetry ; Structure from Motion ; Three dimensional ; Vegetation</subject><ispartof>Geomorphology (Amsterdam, Netherlands), 2015-08, Vol.242, p.11-20</ispartof><rights>2015 Elsevier B.V.</rights><lds50>peer_reviewed</lds50><oa>free_for_read</oa><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-a585t-8e419d3e2d38b377b1185f3b42c7402971478d9956cd7c83623a5ecce8f1bffb3</citedby><cites>FETCH-LOGICAL-a585t-8e419d3e2d38b377b1185f3b42c7402971478d9956cd7c83623a5ecce8f1bffb3</cites><orcidid>0000-0002-1738-2434</orcidid></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktohtml>$$Uhttps://dx.doi.org/10.1016/j.geomorph.2015.02.021$$EHTML$$P50$$Gelsevier$$H</linktohtml><link.rule.ids>314,780,784,3550,27924,27925,45995</link.rule.ids></links><search><creatorcontrib>Gomez, Christopher</creatorcontrib><creatorcontrib>Hayakawa, Yuichi</creatorcontrib><creatorcontrib>Obanawa, Hiroyuki</creatorcontrib><title>A study of Japanese landscapes using structure from motion derived DSMs and DEMs based on historical aerial photographs: New opportunities for vegetation monitoring and diachronic geomorphology</title><title>Geomorphology (Amsterdam, Netherlands)</title><description>SfM-MVS (Structure from Motion and Multiple-View Stereophotogrammetry) is part of a series of technological progresses brought to the field of earth-sciences during the last decade or so, which has allowed geoscientists to collect unprecedented precise and extensive DSMs (Digital Surface Model) for virtually no cost, rivaling LiDAR (Light Detection and Ranging) technology. Previous work on SfM-MVS in geosciences has been solely exploring data acquired for the purpose of SfM-MVS, but no research has been done in the exploration of photographic archives for geomorphological purposes. Therefore, the present publications aims to present the usage of SfM-MVS applied to historical aerial photographs in Japan, in order to (1) demonstrate the potentials to extract topographical and vegetation data and (2) to present the potential for chronological analysis of landscape evolution. SfM-MVS was implemented on black-and-white and colour aerial photographs of 1966, 1976, 1996, 2006 and 2013, using the commercial software Photoscanpro®. Firstly, the photographs were masked, tied to GPS points; secondly the positions of the cameras and the 3D pointcloud were calculated; and thirdly the 3D surface was created. Data were then exported in the GIS software ArcGIS for analysis. Results also proved satisfactory for the reconstruction of 3D past-geomorphological landscapes in coastal areas, riverine areas, and in hilly and volcanic areas. They also prove that the height of trees and large vegetation features can also be calculated from aerial photographs alone. Diachronic analysis of the evolution in 3D landforms presented more difficulties, because the resolution of the early photographs was lower than the recent ones. Volume and surface calculations should therefore be conducted carefully. Although the method holds merit and great promise in the exploration of active landscapes that have widely changed during the 20th century; the authors have also reflected on the issues linked to large datasets, mostly because the processing of these large datasets is still in need of improvement. Moreover there is no proof that an ever increasing resolution brings any major advance to the geomorphological paradigms.
•Using ‘Structure from Motion’ past geomorphic landscapes can be recreated.•Analysis of geomorphic changes using aerial photographs•‘Structure from Motion’ has to be used carefully as it can produce 3D models that aren't accurate.</description><subject>Aerial photographs</subject><subject>Aerials</subject><subject>Diachronic analysis</subject><subject>Geomorphology</subject><subject>Geomorphometry</subject><subject>GIS</subject><subject>Historic</subject><subject>Landscapes</subject><subject>Mathematical models</subject><subject>Photogrammetry</subject><subject>Structure from Motion</subject><subject>Three dimensional</subject><subject>Vegetation</subject><issn>0169-555X</issn><issn>1872-695X</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2015</creationdate><recordtype>article</recordtype><recordid>eNqFUU1v1DAQjRCVWFr-AvKRSxY7juOEE1U_-FBbDoDUm-XYk8SrJA62s2h_Hv-MWZaeK4081vN7b_Q8WfaW0S2jrHq_2_bgJx-WYVtQJra0wGIvsg2rZZFXjXh8mW2Q2ORCiMdX2esYd5TSUjZ0k_25JDGt9kB8R77qRc8QgYx6ttHoBSJZo5t7pITVpDUA6YKfyOST8zOxENweLLn-fh8JSsj1DV5aHRHD58HF5IMzeiQamdiWwSffB70M8QN5gN_EL4sPaZ1dcjir84HsoYek_9lPHnE0wPlHc-u0GQJihjzl9aPvDxfZWafHCG_-9_Ps5-3Nj6vP-d23T1-uLu9yLWqR8hpK1lgOheV1y6VsGatFx9uyMLKkRSNZKWvbNKIyVpqaVwXXAoyBumNt17X8PHt38l2C_7VCTGpy0cCInwV-jYpJSXlRMjyfp3LRsIYyjtTqRDXBxxigU0twkw4Hxag6rlft1FNcdVyvogUWQ-HHkxAw895BUNE4mA1YF8AkZb17zuIv83y3RA</recordid><startdate>20150801</startdate><enddate>20150801</enddate><creator>Gomez, Christopher</creator><creator>Hayakawa, Yuichi</creator><creator>Obanawa, Hiroyuki</creator><general>Elsevier B.V</general><scope>AAYXX</scope><scope>CITATION</scope><scope>7UA</scope><scope>C1K</scope><scope>F1W</scope><scope>H96</scope><scope>L.G</scope><scope>8FD</scope><scope>FR3</scope><scope>H8D</scope><scope>KR7</scope><scope>L7M</scope><orcidid>https://orcid.org/0000-0002-1738-2434</orcidid></search><sort><creationdate>20150801</creationdate><title>A study of Japanese landscapes using structure from motion derived DSMs and DEMs based on historical aerial photographs: New opportunities for vegetation monitoring and diachronic geomorphology</title><author>Gomez, Christopher ; Hayakawa, Yuichi ; Obanawa, Hiroyuki</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-a585t-8e419d3e2d38b377b1185f3b42c7402971478d9956cd7c83623a5ecce8f1bffb3</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2015</creationdate><topic>Aerial photographs</topic><topic>Aerials</topic><topic>Diachronic analysis</topic><topic>Geomorphology</topic><topic>Geomorphometry</topic><topic>GIS</topic><topic>Historic</topic><topic>Landscapes</topic><topic>Mathematical models</topic><topic>Photogrammetry</topic><topic>Structure from Motion</topic><topic>Three dimensional</topic><topic>Vegetation</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Gomez, Christopher</creatorcontrib><creatorcontrib>Hayakawa, Yuichi</creatorcontrib><creatorcontrib>Obanawa, Hiroyuki</creatorcontrib><collection>CrossRef</collection><collection>Water Resources Abstracts</collection><collection>Environmental Sciences and Pollution Management</collection><collection>ASFA: Aquatic Sciences and Fisheries Abstracts</collection><collection>Aquatic Science & Fisheries Abstracts (ASFA) 2: Ocean Technology, Policy & Non-Living Resources</collection><collection>Aquatic Science & Fisheries Abstracts (ASFA) Professional</collection><collection>Technology Research Database</collection><collection>Engineering Research Database</collection><collection>Aerospace Database</collection><collection>Civil Engineering Abstracts</collection><collection>Advanced Technologies Database with Aerospace</collection><jtitle>Geomorphology (Amsterdam, Netherlands)</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Gomez, Christopher</au><au>Hayakawa, Yuichi</au><au>Obanawa, Hiroyuki</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>A study of Japanese landscapes using structure from motion derived DSMs and DEMs based on historical aerial photographs: New opportunities for vegetation monitoring and diachronic geomorphology</atitle><jtitle>Geomorphology (Amsterdam, Netherlands)</jtitle><date>2015-08-01</date><risdate>2015</risdate><volume>242</volume><spage>11</spage><epage>20</epage><pages>11-20</pages><issn>0169-555X</issn><eissn>1872-695X</eissn><abstract>SfM-MVS (Structure from Motion and Multiple-View Stereophotogrammetry) is part of a series of technological progresses brought to the field of earth-sciences during the last decade or so, which has allowed geoscientists to collect unprecedented precise and extensive DSMs (Digital Surface Model) for virtually no cost, rivaling LiDAR (Light Detection and Ranging) technology. Previous work on SfM-MVS in geosciences has been solely exploring data acquired for the purpose of SfM-MVS, but no research has been done in the exploration of photographic archives for geomorphological purposes. Therefore, the present publications aims to present the usage of SfM-MVS applied to historical aerial photographs in Japan, in order to (1) demonstrate the potentials to extract topographical and vegetation data and (2) to present the potential for chronological analysis of landscape evolution. SfM-MVS was implemented on black-and-white and colour aerial photographs of 1966, 1976, 1996, 2006 and 2013, using the commercial software Photoscanpro®. Firstly, the photographs were masked, tied to GPS points; secondly the positions of the cameras and the 3D pointcloud were calculated; and thirdly the 3D surface was created. Data were then exported in the GIS software ArcGIS for analysis. Results also proved satisfactory for the reconstruction of 3D past-geomorphological landscapes in coastal areas, riverine areas, and in hilly and volcanic areas. They also prove that the height of trees and large vegetation features can also be calculated from aerial photographs alone. Diachronic analysis of the evolution in 3D landforms presented more difficulties, because the resolution of the early photographs was lower than the recent ones. Volume and surface calculations should therefore be conducted carefully. Although the method holds merit and great promise in the exploration of active landscapes that have widely changed during the 20th century; the authors have also reflected on the issues linked to large datasets, mostly because the processing of these large datasets is still in need of improvement. Moreover there is no proof that an ever increasing resolution brings any major advance to the geomorphological paradigms.
•Using ‘Structure from Motion’ past geomorphic landscapes can be recreated.•Analysis of geomorphic changes using aerial photographs•‘Structure from Motion’ has to be used carefully as it can produce 3D models that aren't accurate.</abstract><pub>Elsevier B.V</pub><doi>10.1016/j.geomorph.2015.02.021</doi><tpages>10</tpages><orcidid>https://orcid.org/0000-0002-1738-2434</orcidid><oa>free_for_read</oa></addata></record> |
fulltext | fulltext |
identifier | ISSN: 0169-555X |
ispartof | Geomorphology (Amsterdam, Netherlands), 2015-08, Vol.242, p.11-20 |
issn | 0169-555X 1872-695X |
language | eng |
recordid | cdi_proquest_miscellaneous_1770324170 |
source | ScienceDirect Journals (5 years ago - present) |
subjects | Aerial photographs Aerials Diachronic analysis Geomorphology Geomorphometry GIS Historic Landscapes Mathematical models Photogrammetry Structure from Motion Three dimensional Vegetation |
title | A study of Japanese landscapes using structure from motion derived DSMs and DEMs based on historical aerial photographs: New opportunities for vegetation monitoring and diachronic geomorphology |
url | https://sfx.bib-bvb.de/sfx_tum?ctx_ver=Z39.88-2004&ctx_enc=info:ofi/enc:UTF-8&ctx_tim=2025-01-07T23%3A31%3A01IST&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=A%20study%20of%20Japanese%20landscapes%20using%20structure%20from%20motion%20derived%20DSMs%20and%20DEMs%20based%20on%20historical%20aerial%20photographs:%20New%20opportunities%20for%20vegetation%20monitoring%20and%20diachronic%20geomorphology&rft.jtitle=Geomorphology%20(Amsterdam,%20Netherlands)&rft.au=Gomez,%20Christopher&rft.date=2015-08-01&rft.volume=242&rft.spage=11&rft.epage=20&rft.pages=11-20&rft.issn=0169-555X&rft.eissn=1872-695X&rft_id=info:doi/10.1016/j.geomorph.2015.02.021&rft_dat=%3Cproquest_cross%3E1735919013%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=1735919013&rft_id=info:pmid/&rft_els_id=S0169555X1500104X&rfr_iscdi=true |