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We used image segmentation for detecting door bottoms and roadside edges from Google Street View images. The characteristic of equirectangular projection with constant spacing representation of horizontal and vertical angles allows extraction of the pitch angle from the camera to the door bottom. The depth from the camera to the door bottom was obtained from the depthmap paired with the Google Street View image. LFEs were calculated from the pitch angle and the depth. The testbed for application of the proposed method is Meyerland (Harris County, Texas). The results show that the proposed method achieved mean absolute error of 0.190 m (1.18 %) in estimating LFE. The height difference between the street and the lowest floor (HDSL) was estimated to provide information for flood damage estimation. The proposed automatic LFE estimation algorithm using street view images and image segmentation provides a rapid and cost-effective method for LFE estimation compared with the surveys using total station theodolite and unmanned aerial systems. By obtaining more accurate and up-to-date LFE data using the proposed method, city planners, emergency planners, and insurance companies could make a more precise estimation of flood damage.<\/jats:p>","DOI":"10.1145\/3661832","type":"journal-article","created":{"date-parts":[[2024,4,27]],"date-time":"2024-04-27T09:27:33Z","timestamp":1714210053000},"page":"1-18","update-policy":"https:\/\/doi.org\/10.1145\/crossmark-policy","source":"Crossref","is-referenced-by-count":11,"title":["ELEV-VISION: Automated Lowest Floor Elevation Estimation from Segmenting Street View Images"],"prefix":"10.1145","volume":"2","author":[{"ORCID":"https:\/\/orcid.org\/0000-0002-3046-8208","authenticated-orcid":false,"given":"Yu-Hsuan","family":"Ho","sequence":"first","affiliation":[{"name":"Urban Resilience.AI Lab, Zachry Department of Civil and Environmental Engineering, Texas A&amp;M University, College Station, United States"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-9441-9229","authenticated-orcid":false,"given":"Cheng-Chun","family":"Lee","sequence":"additional","affiliation":[{"name":"Urban Resilience.AI Lab, Zachry Department of Civil and Environmental Engineering, Texas A&amp;M University, College Station, United States"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0003-3434-9932","authenticated-orcid":false,"given":"Nicholas","family":"Diaz","sequence":"additional","affiliation":[{"name":"Marine and Coastal Environmental Science, Texas A&amp;M University at Galveston, Galveston, United States"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0003-2004-3844","authenticated-orcid":false,"given":"Samuel","family":"Brody","sequence":"additional","affiliation":[{"name":"Marine and Coastal Environmental Science, Texas A&amp;M University at Galveston, Galveston, United States"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-9076-9408","authenticated-orcid":false,"given":"Ali","family":"Mostafavi","sequence":"additional","affiliation":[{"name":"Urban Resilience.AI Lab, Zachry Department of Civil and Environmental Engineering, Texas A&amp;M University, College Station, United States"}],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"320","published-online":{"date-parts":[[2024,6,20]]},"reference":[{"key":"e_1_3_1_2_2","doi-asserted-by":"publisher","DOI":"10.1111\/nyas.13917"},{"key":"e_1_3_1_3_2","doi-asserted-by":"publisher","DOI":"10.1126\/science.1248222"},{"key":"e_1_3_1_4_2","doi-asserted-by":"publisher","DOI":"10.1016\/j.aei.2022.101730"},{"key":"e_1_3_1_5_2","doi-asserted-by":"publisher","DOI":"10.1016\/j.landurbplan.2021.104217"},{"key":"e_1_3_1_6_2","doi-asserted-by":"publisher","DOI":"10.3390\/rs8070604"},{"key":"e_1_3_1_7_2","doi-asserted-by":"publisher","DOI":"10.1016\/j.compenvurbsys.2018.09.004"},{"key":"e_1_3_1_8_2","doi-asserted-by":"publisher","DOI":"10.1111\/j.1467-7717.2007.01024.x"},{"key":"e_1_3_1_9_2","doi-asserted-by":"crossref","unstructured":"Holger Caesar Jasper Uijlings and Vittorio Ferrari. 2018. 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