{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,6,10]],"date-time":"2026-06-10T16:27:30Z","timestamp":1781108850588,"version":"3.54.1"},"reference-count":21,"publisher":"MDPI AG","issue":"3","license":[{"start":{"date-parts":[[2017,2,27]],"date-time":"2017-02-27T00:00:00Z","timestamp":1488153600000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/creativecommons.org\/licenses\/by\/4.0\/"}],"funder":[{"name":"The Obayashi Foundation"}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["Remote Sensing"],"abstract":"<jats:p>In this paper, we propose a method for using mobile laser-scanning data to estimate the green space ratio (GSR), a landscape index that represents the proportion of green area to the whole-view area. The proposed method first classifies and segments vegetation using voxel-based and shape-based approaches. Vertical planar-surface objects are excluded, and randomly distributed objects are extracted as vegetation via multi-spatial-scale analysis. Then, the method generates a map representing occlusion by vegetation, and estimates GSR at an arbitrary location. We applied the method to a data set collected in a residential area in Kyoto, Japan. We compared the results with the ground truth data and obtained a root mean squared error of approximately 4.1%. Although some non-vegetation with rough surfaces was falsely extracted as vegetation, our method seems to estimate GSR to an acceptable accuracy.<\/jats:p>","DOI":"10.3390\/rs9030215","type":"journal-article","created":{"date-parts":[[2017,2,27]],"date-time":"2017-02-27T11:00:20Z","timestamp":1488193220000},"page":"215","update-policy":"https:\/\/doi.org\/10.3390\/mdpi_crossmark_policy","source":"Crossref","is-referenced-by-count":20,"title":["Automatic Assessment of Green Space Ratio in Urban Areas from Mobile Scanning Data"],"prefix":"10.3390","volume":"9","author":[{"ORCID":"https:\/\/orcid.org\/0000-0003-2648-1298","authenticated-orcid":false,"given":"Junichi","family":"Susaki","sequence":"first","affiliation":[{"name":"Graduate School of Engineering, Kyoto University, C1-1-206, Kyotodaigaku-Katsura, Nishikyo-ku, Kyoto 615-8540, Japan"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Seiya","family":"Kubota","sequence":"additional","affiliation":[{"name":"Graduate School of Engineering, Kyoto University, C1-1-209, Kyotodaigaku-Katsura, Nishikyo-ku, Kyoto 615-8540, Japan"}],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"1968","published-online":{"date-parts":[[2017,2,27]]},"reference":[{"key":"ref_1","doi-asserted-by":"crossref","first-page":"119","DOI":"10.1016\/j.landurbplan.2013.08.009","article-title":"Classification and valuation of urban green spaces\u2014A hedonic house price evaluation","volume":"120","author":"Panduro","year":"2013","journal-title":"Landsc. 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