Extraction of windthrown trees gaps using data photographed before and after typhoon by UAV
The risk of windthrown trees due to typhoons has increased because of climate change, making it imperative to be able to rapidly assess the extent of damages. Typhoon No. 21, which landed on the Japanese archipelago in September 4, 2018, was used for a survey of woodlands in the Natural and Cultural...
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Veröffentlicht in: | Journal of the Japanese Society of Revegetation Technology 2019/05/31, Vol.44(4), pp.591-595 |
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description | The risk of windthrown trees due to typhoons has increased because of climate change, making it imperative to be able to rapidly assess the extent of damages. Typhoon No. 21, which landed on the Japanese archipelago in September 4, 2018, was used for a survey of woodlands in the Natural and Cultural Gardens located in the Expo’70 Commemorative Park (Suita, Osaka Prefecture). By comparing a Digital Surface Model (DSM) obtained by processing data sets on two dates, before the typhoon on July 11, 2018, and after the typhoon on September 26, 2018, using Structure from Motion, I was able to extract the extent of the windthrown trees gaps caused by the typhoon. The correlation between the gap-patch area and breast height cross-sectional area was overall higher than correlation between the gap-patch area and number of trees from within the gap patch. I was able to extract gaps formed by fallen trees for a difference of ≥ 6 m between the two DSM periods. The total gap-patch area generated by the typhoon was 6,926 m2, which was equivalent to approximately 64% of the gap area artificially caused within the same area over 17 years between 2000 and 2017. Taking regular data sets with UAV will be effective for forest monitoring. |
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Typhoon No. 21, which landed on the Japanese archipelago in September 4, 2018, was used for a survey of woodlands in the Natural and Cultural Gardens located in the Expo’70 Commemorative Park (Suita, Osaka Prefecture). By comparing a Digital Surface Model (DSM) obtained by processing data sets on two dates, before the typhoon on July 11, 2018, and after the typhoon on September 26, 2018, using Structure from Motion, I was able to extract the extent of the windthrown trees gaps caused by the typhoon. The correlation between the gap-patch area and breast height cross-sectional area was overall higher than correlation between the gap-patch area and number of trees from within the gap patch. I was able to extract gaps formed by fallen trees for a difference of ≥ 6 m between the two DSM periods. The total gap-patch area generated by the typhoon was 6,926 m2, which was equivalent to approximately 64% of the gap area artificially caused within the same area over 17 years between 2000 and 2017. Taking regular data sets with UAV will be effective for forest monitoring.</description><identifier>ISSN: 0916-7439</identifier><identifier>EISSN: 0916-7439</identifier><identifier>DOI: 10.7211/jjsrt.44.591</identifier><language>eng ; jpn</language><publisher>Tokyo: JAPANESE SOCIETY OF REVEGETATION TECHNOLOGY</publisher><subject>Archipelagoes ; Climate change ; Data processing ; Datasets ; digital surface model ; forest monitoring ; structure from motion ; Trees ; Typhoons ; unmanned aerial vehicles ; windthrown trees ; Woodlands</subject><ispartof>Journal of the Japanese Society of Revegetation Technology, 2019/05/31, Vol.44(4), pp.591-595</ispartof><rights>2019 Japanese Society of Revegetation Technology</rights><rights>Copyright Japan Science and Technology Agency 2018</rights><oa>free_for_read</oa><woscitedreferencessubscribed>false</woscitedreferencessubscribed><cites>FETCH-LOGICAL-c1591-8b68d303dc9e6a36e42b70d98ede7a90d695811d10d0fb14b3a6c74a83fb70f33</cites></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><link.rule.ids>314,777,781,1877,27905,27906</link.rule.ids></links><search><creatorcontrib>NIWA, Hideyuki</creatorcontrib><title>Extraction of windthrown trees gaps using data photographed before and after typhoon by UAV</title><title>Journal of the Japanese Society of Revegetation Technology</title><addtitle>J.Jpn.Soc.Reveget.Tech.</addtitle><description>The risk of windthrown trees due to typhoons has increased because of climate change, making it imperative to be able to rapidly assess the extent of damages. Typhoon No. 21, which landed on the Japanese archipelago in September 4, 2018, was used for a survey of woodlands in the Natural and Cultural Gardens located in the Expo’70 Commemorative Park (Suita, Osaka Prefecture). By comparing a Digital Surface Model (DSM) obtained by processing data sets on two dates, before the typhoon on July 11, 2018, and after the typhoon on September 26, 2018, using Structure from Motion, I was able to extract the extent of the windthrown trees gaps caused by the typhoon. The correlation between the gap-patch area and breast height cross-sectional area was overall higher than correlation between the gap-patch area and number of trees from within the gap patch. I was able to extract gaps formed by fallen trees for a difference of ≥ 6 m between the two DSM periods. The total gap-patch area generated by the typhoon was 6,926 m2, which was equivalent to approximately 64% of the gap area artificially caused within the same area over 17 years between 2000 and 2017. Taking regular data sets with UAV will be effective for forest monitoring.</description><subject>Archipelagoes</subject><subject>Climate change</subject><subject>Data processing</subject><subject>Datasets</subject><subject>digital surface model</subject><subject>forest monitoring</subject><subject>structure from motion</subject><subject>Trees</subject><subject>Typhoons</subject><subject>unmanned aerial vehicles</subject><subject>windthrown trees</subject><subject>Woodlands</subject><issn>0916-7439</issn><issn>0916-7439</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2019</creationdate><recordtype>article</recordtype><recordid>eNpNkEtLAzEUhYMoWGp3_oCAW1uTSWYys5JS6gMKbqwbFyEzuZkHdTImKbX_3mhLdXUvnO-eezgIXVMyEwmld13nXZhxPksLeoZGpKDZVHBWnP_bL9HE-7YkJEkSVjAxQu_Lr-BUFVrbY2vwru11aJzd9Tg4AI9rNXi89W1fY62CwkNjg62dGhrQuARjHWDVa6xMAIfDPurRqdzj9fztCl0YtfEwOc4xWj8sXxdP09XL4_NivppWNGad5mWWa0aYrgrIFMuAJ6UgushBg1AF0VmR5pRqSjQxJeUlU1kluMqZiZxhbIxuDr6Ds59b8EF2duv6-FImjKZEiCTNI3V7oCpnvXdg5ODaD-X2khL506D8bVByLmOqiN8f8M4HVcMJVi601Qb-YH68OClVo5yEnn0DZoB8mw</recordid><startdate>20190531</startdate><enddate>20190531</enddate><creator>NIWA, Hideyuki</creator><general>JAPANESE SOCIETY OF REVEGETATION TECHNOLOGY</general><general>Japan Science and Technology Agency</general><scope>AAYXX</scope><scope>CITATION</scope></search><sort><creationdate>20190531</creationdate><title>Extraction of windthrown trees gaps using data photographed before and after typhoon by UAV</title><author>NIWA, Hideyuki</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c1591-8b68d303dc9e6a36e42b70d98ede7a90d695811d10d0fb14b3a6c74a83fb70f33</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng ; jpn</language><creationdate>2019</creationdate><topic>Archipelagoes</topic><topic>Climate change</topic><topic>Data processing</topic><topic>Datasets</topic><topic>digital surface model</topic><topic>forest monitoring</topic><topic>structure from motion</topic><topic>Trees</topic><topic>Typhoons</topic><topic>unmanned aerial vehicles</topic><topic>windthrown trees</topic><topic>Woodlands</topic><toplevel>online_resources</toplevel><creatorcontrib>NIWA, Hideyuki</creatorcontrib><collection>CrossRef</collection><jtitle>Journal of the Japanese Society of Revegetation Technology</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>NIWA, Hideyuki</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Extraction of windthrown trees gaps using data photographed before and after typhoon by UAV</atitle><jtitle>Journal of the Japanese Society of Revegetation Technology</jtitle><addtitle>J.Jpn.Soc.Reveget.Tech.</addtitle><date>2019-05-31</date><risdate>2019</risdate><volume>44</volume><issue>4</issue><spage>591</spage><epage>595</epage><pages>591-595</pages><issn>0916-7439</issn><eissn>0916-7439</eissn><abstract>The risk of windthrown trees due to typhoons has increased because of climate change, making it imperative to be able to rapidly assess the extent of damages. Typhoon No. 21, which landed on the Japanese archipelago in September 4, 2018, was used for a survey of woodlands in the Natural and Cultural Gardens located in the Expo’70 Commemorative Park (Suita, Osaka Prefecture). By comparing a Digital Surface Model (DSM) obtained by processing data sets on two dates, before the typhoon on July 11, 2018, and after the typhoon on September 26, 2018, using Structure from Motion, I was able to extract the extent of the windthrown trees gaps caused by the typhoon. The correlation between the gap-patch area and breast height cross-sectional area was overall higher than correlation between the gap-patch area and number of trees from within the gap patch. I was able to extract gaps formed by fallen trees for a difference of ≥ 6 m between the two DSM periods. The total gap-patch area generated by the typhoon was 6,926 m2, which was equivalent to approximately 64% of the gap area artificially caused within the same area over 17 years between 2000 and 2017. Taking regular data sets with UAV will be effective for forest monitoring.</abstract><cop>Tokyo</cop><pub>JAPANESE SOCIETY OF REVEGETATION TECHNOLOGY</pub><doi>10.7211/jjsrt.44.591</doi><tpages>5</tpages><oa>free_for_read</oa></addata></record> |
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subjects | Archipelagoes Climate change Data processing Datasets digital surface model forest monitoring structure from motion Trees Typhoons unmanned aerial vehicles windthrown trees Woodlands |
title | Extraction of windthrown trees gaps using data photographed before and after typhoon by UAV |
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