{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,2,10]],"date-time":"2026-02-10T12:12:01Z","timestamp":1770725521578,"version":"3.49.0"},"reference-count":74,"publisher":"MDPI AG","issue":"20","license":[{"start":{"date-parts":[[2024,10,12]],"date-time":"2024-10-12T00:00:00Z","timestamp":1728691200000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/creativecommons.org\/licenses\/by\/4.0\/"}],"funder":[{"name":"National Science Foundation","award":["2325631"],"award-info":[{"award-number":["2325631"]}]}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["Remote Sensing"],"abstract":"<jats:p>The literature shows that communities under different socio-economic conditions suffer different levels of damage in disasters. In addition to the physical intensity of hazards, such differences are also related to the varying abilities of communities to prepare for and respond to disasters. This study analyzes the spatial patterns of building damage in Hurricane Ian in 2022 and investigates the socio-economic disparities related to the damage. Specifically, this study employs NASA\u2019s Damage Proxy Map (DPM2) to analyze spatial patterns of building damage caused by the hurricane. Then, it uses statistical analysis to assess the relationships between building damage and hurricane intensity, building conditions, and socio-economic variables at the building and census tract levels. Furthermore, the study applies geographically weighted regression (GWR) to examine the spatial variation of the damage factors. The results provide valuable insights into the potential factors related to building damage and the spatial variation in the factors. The results also reveal the uneven distribution of building damage among different population groups, implying socio-economic inequalities in disaster adaptation and resilience. Moreover, the study provides actionable information for policymakers, emergency responders, and community leaders in formulating strategies to mitigate the impact of future hurricanes by identifying vulnerable communities and population groups.<\/jats:p>","DOI":"10.3390\/rs16203792","type":"journal-article","created":{"date-parts":[[2024,10,14]],"date-time":"2024-10-14T07:47:05Z","timestamp":1728892025000},"page":"3792","update-policy":"https:\/\/doi.org\/10.3390\/mdpi_crossmark_policy","source":"Crossref","is-referenced-by-count":6,"title":["A Disparate Disaster: Spatial Patterns of Building Damage Caused by Hurricane Ian and Associated Socio-Economic Factors"],"prefix":"10.3390","volume":"16","author":[{"ORCID":"https:\/\/orcid.org\/0000-0001-6225-6296","authenticated-orcid":false,"given":"Md Zakaria","family":"Salim","sequence":"first","affiliation":[{"name":"School of Geosciences, University of South Florida, Tampa, FL 33620, USA"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-6872-8837","authenticated-orcid":false,"given":"Yi","family":"Qiang","sequence":"additional","affiliation":[{"name":"School of Geosciences, University of South Florida, Tampa, FL 33620, USA"}]},{"given":"Barnali","family":"Dixon","sequence":"additional","affiliation":[{"name":"School of Geosciences, University of South Florida, Tampa, FL 33620, USA"}]},{"ORCID":"https:\/\/orcid.org\/0000-0001-6780-8280","authenticated-orcid":false,"given":"Jennifer","family":"Collins","sequence":"additional","affiliation":[{"name":"School of Geosciences, University of South Florida, Tampa, FL 33620, USA"}]}],"member":"1968","published-online":{"date-parts":[[2024,10,12]]},"reference":[{"key":"ref_1","doi-asserted-by":"crossref","first-page":"283","DOI":"10.1007\/s10584-012-0441-5","article-title":"Framing the way to relate climate extremes to climate change","volume":"115","author":"Trenberth","year":"2012","journal-title":"Clim. Chang."},{"key":"ref_2","unstructured":"NOAA (2023, July 17). Hurricane Costs, Available online: https:\/\/coast.noaa.gov\/states\/fast-facts\/hurricane-costs.html."},{"key":"ref_3","doi-asserted-by":"crossref","first-page":"1359","DOI":"10.1175\/BAMS-D-17-0184.1","article-title":"Continental U.S. Hurricane landfall frequency and associated damage: Observations and future risks","volume":"99","author":"Klotzbach","year":"2018","journal-title":"Bull. Am. Meteorol. Soc."},{"key":"ref_4","doi-asserted-by":"crossref","first-page":"108","DOI":"10.1353\/sgo.0.0045","article-title":"Florida hurricanes and damage costs","volume":"49","author":"Malmstadt","year":"2009","journal-title":"Southeast. Geogr."},{"key":"ref_5","doi-asserted-by":"crossref","first-page":"148","DOI":"10.1080\/01944363.2022.2109926","article-title":"Reimagining sustainable cities: Strategies for designing greener, healthier, more equitable communities","volume":"89","author":"Larsen","year":"2023","journal-title":"J. Am. Plan. Assoc."},{"key":"ref_6","unstructured":"NOAA (2023, July 25). Monthly National Climate Report for September 2022, Available online: https:\/\/www.nhc.noaa.gov\/data\/tcr\/."},{"key":"ref_7","doi-asserted-by":"crossref","unstructured":"Mazumder, R.K., Enderami, S.A., and Sutley, E.J. (2023). A novel framework to study community-level social and physical impacts of hurricane-induced winds through synthetic scenario analysis. Front. Built Env., 9.","DOI":"10.3389\/fbuil.2023.1005264"},{"key":"ref_8","doi-asserted-by":"crossref","first-page":"87","DOI":"10.3390\/wind2010006","article-title":"A framework to model the wind-induced losses in buildings during hurricanes","volume":"2","author":"Alduse","year":"2022","journal-title":"Wind"},{"key":"ref_9","doi-asserted-by":"crossref","first-page":"58","DOI":"10.1061\/(ASCE)1527-6988(2010)11:2(58)","article-title":"Social vulnerability and hurricane impact modeling","volume":"11","author":"Burton","year":"2010","journal-title":"Nat. Hazards Rev."},{"key":"ref_10","doi-asserted-by":"crossref","unstructured":"Milch, K., Broad, K., Orlove, B., and Meyer, R. (2018). Decision science perspectives on hurricane vulnerability: Evidence from the 2010-2012 Atlantic hurricane seasons. Atmosphere, 9.","DOI":"10.3390\/atmos9010032"},{"key":"ref_11","doi-asserted-by":"crossref","first-page":"2675","DOI":"10.1111\/risa.13576","article-title":"Post disaster housing stages: A Markov chain approach to model sequences and duration based on social vulnerability","volume":"40","author":"Sutley","year":"2020","journal-title":"Risk Anal."},{"key":"ref_12","unstructured":"(2022, August 28). FEMA Building Performance: Hurricane Andrew in Florida, Available online: https:\/\/www.fema.gov\/sites\/default\/files\/2020-08\/fia22_complete.pdf."},{"key":"ref_13","doi-asserted-by":"crossref","first-page":"43","DOI":"10.1016\/j.scs.2017.06.005","article-title":"An experimental study to assess the effect of soffit louvered vents on wind loads and wind driven rain intrusion on low rise buildings","volume":"34","author":"Arch","year":"2017","journal-title":"Sustain. Cities Soc."},{"key":"ref_14","doi-asserted-by":"crossref","first-page":"111004","DOI":"10.1016\/j.engstruct.2020.111004","article-title":"Vulnerability of Florida residential structures to hurricane induced coastal flood","volume":"220","author":"Gurley","year":"2020","journal-title":"Eng. Struct."},{"key":"ref_15","doi-asserted-by":"crossref","first-page":"1","DOI":"10.1061\/(ASCE)NH.1527-6996.0000058","article-title":"Loss analysis for combined wind and surge in hurricanes","volume":"13","author":"Li","year":"2012","journal-title":"Nat. Hazards Rev."},{"key":"ref_16","doi-asserted-by":"crossref","first-page":"04014001","DOI":"10.1061\/(ASCE)NH.1527-6996.0000128","article-title":"Assessing climate change impact on the U.S. east coast hurricane hazard: Temperature, frequency, and track","volume":"15","author":"Mudd","year":"2014","journal-title":"Nat. Hazards Rev."},{"key":"ref_17","doi-asserted-by":"crossref","first-page":"104467","DOI":"10.1016\/j.scs.2023.104467","article-title":"Flood vulnerability assessment of urban buildings based on integrating high-resolution remote sensing and street view images","volume":"92","author":"Xing","year":"2023","journal-title":"Sustain. Cities Soc."},{"key":"ref_18","unstructured":"Ayscue, J.K. (1996). Hurricane Damage to Residential Structures: Risk and Mitigation, The Johns Hopkins University. Available online: https:\/\/hazards.colorado.edu\/research\/working-papers\/94."},{"key":"ref_19","doi-asserted-by":"crossref","unstructured":"Svenningsen, L.S., Bay, L., Doemgaard, M.L., Halsnaes, K., and Larsen, M.D. (2020). Beyond the stage-damage function: Estimating the economic damage on residential buildings from storm surges. Nat. Hazards Earth Syst. Sci. Discuss., [preprint].","DOI":"10.5194\/nhess-2020-30"},{"key":"ref_20","doi-asserted-by":"crossref","first-page":"67","DOI":"10.1016\/j.rcns.2023.07.003","article-title":"Multi-Hazard socio-physical resilience assessment of hurricane-induced hazards on coastal communities","volume":"2","author":"Nofal","year":"2023","journal-title":"Resilient Cities Struct."},{"key":"ref_21","doi-asserted-by":"crossref","first-page":"2041","DOI":"10.5194\/nhess-18-2041-2018","article-title":"Brief communication: Rapid assessment of damaged residential buildings in the Florida keys after Hurricane Irma","volume":"18","author":"Xian","year":"2018","journal-title":"Nat. Hazards Earth Syst. Sci."},{"key":"ref_22","doi-asserted-by":"crossref","first-page":"104383","DOI":"10.1016\/j.coastaleng.2023.104383","article-title":"Dune erosion during storm surges: A review of the observations, physics and modelling of the collision regime","volume":"186","author":"Reniers","year":"2023","journal-title":"Coast. Eng."},{"key":"ref_23","doi-asserted-by":"crossref","unstructured":"Shepard, C.C., Crain, C.M., and Beck, M.W. (2011). The protective role of coastal marshes: A systematic review and meta-analysis. PLoS ONE, 6.","DOI":"10.1371\/journal.pone.0027374"},{"key":"ref_24","doi-asserted-by":"crossref","first-page":"167","DOI":"10.1177\/003335490712200206","article-title":"The public\u2019s preparedness for hurricanes in four affected regions","volume":"122","author":"Blendon","year":"2007","journal-title":"Public. Health Rep."},{"key":"ref_25","doi-asserted-by":"crossref","first-page":"102137","DOI":"10.1016\/j.strusafe.2021.102137","article-title":"Risk and fragility assessment of residential wooden buildings subject to hurricane winds","volume":"94","author":"Abdelhady","year":"2022","journal-title":"Struct. Saf."},{"key":"ref_26","doi-asserted-by":"crossref","first-page":"911","DOI":"10.1016\/j.engstruct.2009.12.016","article-title":"The vulnerability of residential window glass to lightweight windborne debris","volume":"32","author":"Masters","year":"2010","journal-title":"Eng. Struct."},{"key":"ref_27","doi-asserted-by":"crossref","first-page":"177","DOI":"10.1061\/(ASCE)NH.1527-6996.0000044","article-title":"Post-2004 hurricane field survey of residential building performance","volume":"12","author":"Gurley","year":"2011","journal-title":"Nat. Hazards Rev."},{"key":"ref_28","doi-asserted-by":"crossref","first-page":"387","DOI":"10.2307\/1059986","article-title":"The determinants of residential property damage caused by Hurricane Andrew","volume":"61","author":"Fronstin","year":"1994","journal-title":"South. Econ. J."},{"key":"ref_29","doi-asserted-by":"crossref","first-page":"719","DOI":"10.1016\/j.conbuildmat.2009.10.036","article-title":"Effect of cracking, corrosion and repair on the frequency response of RC beams","volume":"24","author":"Maalej","year":"2010","journal-title":"Constr. Build. Mater."},{"key":"ref_30","first-page":"967","article-title":"Protecting against hurricane damage with mathematics","volume":"65","author":"Siegmund","year":"2018","journal-title":"Not. Am. Math. Soc."},{"key":"ref_31","unstructured":"FBC (2023). Florida Building Code\u2014Existing Building, International Code Council. [8th ed.]."},{"key":"ref_32","first-page":"999","article-title":"Building Damage Observations and EF classifications from the Tuscaloosa, AL, and Joplin, MO, tornadoes","volume":"35","author":"Prevatt","year":"2012","journal-title":"ASCE"},{"key":"ref_33","doi-asserted-by":"crossref","unstructured":"Pinelli, J., Weekes, J., Pita, G., Hamid, S., Gurley, K., and Subramanian, C. (2009). Vulnerability of mid-high rise commercial-residential buildings in the Florida public hurricane loss model. Environ. Eng. Sci., 1140\u20131149.","DOI":"10.1061\/41130(369)104"},{"key":"ref_34","doi-asserted-by":"crossref","first-page":"356","DOI":"10.1080\/01944363.2014.980440","article-title":"Inequities in long-term housing recovery after disasters","volume":"80","author":"Peacock","year":"2014","journal-title":"J. Am. Plan. Assoc."},{"key":"ref_35","doi-asserted-by":"crossref","first-page":"265","DOI":"10.1007\/s13753-014-0030-5","article-title":"Modeling impact of hurricane damages on income distribution in the coastal U.S","volume":"5","author":"Miljkovic","year":"2014","journal-title":"Int. J. Disaster Risk Sci."},{"key":"ref_36","doi-asserted-by":"crossref","first-page":"2301","DOI":"10.1073\/pnas.0710375105","article-title":"Temporal and spatial changes in social vulnerability to natural hazards","volume":"105","author":"Cutter","year":"2008","journal-title":"Proc. Natl. Acad. Sci. USA"},{"key":"ref_37","doi-asserted-by":"crossref","first-page":"689","DOI":"10.1007\/s11069-018-3413-x","article-title":"Socioeconomic vulnerability and electric power restoration timelines in Florida: The case of Hurricane Irma","volume":"94","author":"Mitsova","year":"2018","journal-title":"Nat. Hazards"},{"key":"ref_38","doi-asserted-by":"crossref","first-page":"228","DOI":"10.1080\/17477891.2019.1675578","article-title":"Measuring social equity in flood recovery funding","volume":"19","author":"Emrich","year":"2020","journal-title":"Environ. Hazards"},{"key":"ref_39","unstructured":"(2022, June 17). SAMHSA Disaster Technical Assistance Center Supplemental Research Bulletin Greater Impact: How Disasters Affect People of Low Socioeconomic Status, Available online: https:\/\/www.samhsa.gov\/sites\/default\/files\/dtac\/srb-low-ses_2.pdf."},{"key":"ref_40","doi-asserted-by":"crossref","first-page":"e206881","DOI":"10.1001\/jamanetworkopen.2020.6881","article-title":"Association of US households\u2019 disaster preparedness with socioeconomic characteristics, composition, and region","volume":"3","author":"Zamboni","year":"2020","journal-title":"JAMA Netw. Open"},{"key":"ref_41","doi-asserted-by":"crossref","first-page":"1511","DOI":"10.1007\/s13524-016-0496-4","article-title":"Trapped in place? segmented resilience to hurricanes in the Gulf coast, 1970\u20132005","volume":"53","author":"Logan","year":"2016","journal-title":"Demography"},{"key":"ref_42","doi-asserted-by":"crossref","first-page":"104371","DOI":"10.1016\/j.scs.2022.104371","article-title":"Impacts of disaster exposure on climate adaptation injustice across U.S. cities","volume":"89","author":"Liu","year":"2023","journal-title":"Sustain. Cities Soc."},{"key":"ref_43","doi-asserted-by":"crossref","first-page":"7","DOI":"10.1016\/B978-1-4832-8367-8.50008-5","article-title":"Low-income housing and hurricanes","volume":"1","author":"Eaton","year":"1980","journal-title":"Wind. Eng."},{"key":"ref_44","doi-asserted-by":"crossref","unstructured":"Bukvic, A., Gohlke, J., Borate, A., and Suggs, J. (2018). Aging in flood-prone coastal areas: Discerning the health and well-being risk for older residents. Int. J. Environ. Res. Public. Health, 15.","DOI":"10.3390\/ijerph15122900"},{"key":"ref_45","doi-asserted-by":"crossref","first-page":"S103","DOI":"10.2105\/AJPH.2006.087007","article-title":"Psychological sequelae resulting from the 2004 Florida hurricanes: Implications for Post disaster intervention","volume":"97","author":"Acierno","year":"2007","journal-title":"Am. J. Public Health"},{"key":"ref_46","doi-asserted-by":"crossref","first-page":"880","DOI":"10.1038\/ngeo2560","article-title":"Economic losses from U.S. hurricanes consistent with an influence from climate change","volume":"8","author":"Estrada","year":"2015","journal-title":"Nat. Geosci."},{"key":"ref_47","unstructured":"NOAA (2023, September 17). Costliest U.S. Tropical Cyclones Tables Update, Available online: https:\/\/www.ncei.noaa.gov\/access\/billions\/dcmi.pdf."},{"key":"ref_48","doi-asserted-by":"crossref","first-page":"103865","DOI":"10.1016\/j.ijdrr.2023.103865","article-title":"Social response and disaster management: Insights from twitter data assimilation on Hurricane Ian","volume":"95","author":"Karimiziarani","year":"2023","journal-title":"Int. J. Disaster Risk Reduct."},{"key":"ref_49","unstructured":"Florida Department of Law Enforcement (2022, December 10). Florida Medical Examiners Commission Hurricane Ian Deaths. Available online: https:\/\/www.fdle.state.fl.us\/News\/2023\/January\/Update-Florida-Medical-Examiners-Commission-Hu-(2)."},{"key":"ref_50","unstructured":"ARIA (2023, February 13). Hurricane Ian USA, Available online: https:\/\/aria-share.jpl.nasa.gov\/202209-Hurricane_Ian_USA\/DPM\/."},{"key":"ref_51","doi-asserted-by":"crossref","first-page":"91","DOI":"10.1007\/BF00119328","article-title":"In search of a gust Definition","volume":"55","author":"Kristensen","year":"1991","journal-title":"Bound. Layer. Meteorol."},{"key":"ref_52","doi-asserted-by":"crossref","first-page":"176","DOI":"10.1016\/j.jweia.2015.10.002","article-title":"Reliability based vulnerability modelling of metal-clad industrial buildings to extreme wind loading for cyclonic regions","volume":"147","author":"Konthesingha","year":"2015","journal-title":"J. Wind. Eng. Ind. Aerodyn."},{"key":"ref_53","doi-asserted-by":"crossref","first-page":"555","DOI":"10.1016\/S0167-6105(01)00197-0","article-title":"A model of wind-borne debris damage","volume":"90","author":"Wills","year":"2002","journal-title":"J. Wind. Eng. Ind. Aerodyn."},{"key":"ref_54","first-page":"294","article-title":"Injuries related to wind speed","volume":"74","author":"Cugnoni","year":"1992","journal-title":"Ann. R. Coll. Surg. Engl."},{"key":"ref_55","unstructured":"NOAA (2023, June 25). NHC Data in GIS Formats, Available online: https:\/\/www.nhc.noaa.gov\/gis\/."},{"key":"ref_56","doi-asserted-by":"crossref","first-page":"214","DOI":"10.1061\/(ASCE)AE.1943-5568.0000070","article-title":"Developing a simple damage model for the long-term durability of acrylic foam structural glazing tape subject to sustained wind loading","volume":"18","author":"Townsend","year":"2012","journal-title":"J. Archit. Eng."},{"key":"ref_57","doi-asserted-by":"crossref","first-page":"462","DOI":"10.1038\/nclimate1389","article-title":"Physically based assessment of hurricane surge threat under climate change","volume":"2","author":"Lin","year":"2012","journal-title":"Nat. Clim. Chang."},{"key":"ref_58","doi-asserted-by":"crossref","first-page":"S1","DOI":"10.1175\/BAMS-87-3-Emanuel","article-title":"Supplement to a statistical deterministic approach to hurricane risk assessment","volume":"87","author":"Emanuel","year":"2006","journal-title":"Bull. Am. Meteorol. Soc."},{"key":"ref_59","doi-asserted-by":"crossref","first-page":"094061","DOI":"10.1088\/1748-9326\/ab9be2","article-title":"Dependence of tropical cyclone damage on maximum wind speed and socioeconomic factors","volume":"15","author":"Ye","year":"2020","journal-title":"Environ. Res. Lett."},{"key":"ref_60","doi-asserted-by":"crossref","first-page":"51","DOI":"10.1515\/jhsem-2020-0014","article-title":"Examining the potential impacts of social vulnerability on damage levels in areas affected by Hurricane Harvey","volume":"19","author":"Liew","year":"2022","journal-title":"J. Homel. Secur. Emerg. Manag."},{"key":"ref_61","doi-asserted-by":"crossref","first-page":"2531","DOI":"10.5194\/nhess-14-2531-2014","article-title":"Decision-tree analysis of factors influencing rainfall-related building structure and content damage","volume":"14","author":"Spekkers","year":"2014","journal-title":"Nat. Hazards Earth Syst. Sci."},{"key":"ref_62","unstructured":"U.S. Census Bureau (2023, March 05). American Community Survey, ACS 5-Year Estimates Subject Tables, Available online: https:\/\/www.census.gov\/programs-surveys\/acs."},{"key":"ref_63","doi-asserted-by":"crossref","first-page":"754","DOI":"10.1175\/1520-0450(2002)041<0754:SMOHD>2.0.CO;2","article-title":"Stochastic modeling of hurricane damage","volume":"41","author":"Katz","year":"2002","journal-title":"J. Appl. Meteorol. Clim."},{"key":"ref_64","doi-asserted-by":"crossref","unstructured":"Mitsova, D., Escaleras, M., Sapat, A., Esnard, A.M., and Lamadrid, A.J. (2019). The effects of infrastructure service disruptions and socio-economic vulnerability on hurricane recovery. Sustainability, 11.","DOI":"10.3390\/su11020516"},{"key":"ref_65","doi-asserted-by":"crossref","first-page":"757","DOI":"10.1109\/TASL.2008.919072","article-title":"On the Importance of the Pearson Correlation Coefficient in Noise Reduction","volume":"16","author":"Benesty","year":"2008","journal-title":"IEEE Trans. Audio Speech Lang. Process"},{"key":"ref_66","unstructured":"Cohen, J., Cohen, P., West, S.G., and Aiken, L.S. (2023). Applied Multiple Regression\/Correlation Analysis for the Behavioral Sciences, Routledge. [3rd ed.]."},{"key":"ref_67","doi-asserted-by":"crossref","first-page":"1905","DOI":"10.1068\/a301905","article-title":"Geographically weighted regression: A natural evolution of the expansion method for spatial data analysis","volume":"30","author":"Fotheringham","year":"1998","journal-title":"Environ. Plan. A Econ. Space"},{"key":"ref_68","unstructured":"Fotheringham, A.S., Brunsdon, C., and Charlton, M. (2002). Geographically Weighted Regression: The Analysis of Spatially Varying Relationships, Wiley."},{"key":"ref_69","doi-asserted-by":"crossref","first-page":"347","DOI":"10.1016\/j.ecolmodel.2007.03.041","article-title":"Rectangular and hexagonal grids used for observation, experiment and simulation in ecology","volume":"206","author":"Birch","year":"2007","journal-title":"Ecol. Model."},{"key":"ref_70","first-page":"228","article-title":"Hexagon mosaic maps for display of univariate and bivariate geographical data","volume":"19","author":"Carr","year":"2013","journal-title":"Cartogr. Geogr. Inf. Syst."},{"key":"ref_71","doi-asserted-by":"crossref","first-page":"369","DOI":"10.2307\/2937142","article-title":"Hurricane impacts to tropical and temperate forest landscapes","volume":"64","author":"Boose","year":"1994","journal-title":"Ecol. Monogr."},{"key":"ref_72","unstructured":"Coch, N.K. (1994). Hurricane Hazards along the Northeastern Atlantic coast of the United States. J. Coast. Res., 115\u2013147. Available online: http:\/\/www.jstor.org\/stable\/25735594."},{"key":"ref_73","doi-asserted-by":"crossref","unstructured":"Sun, H., Cui, Y., Wang, H., Liu, H., and Wang, T. (2020). Comparison of methods for the detection of outliers and associated biomarkers in mislabeled omics data. BMC Bioinform., 21.","DOI":"10.1186\/s12859-020-03653-9"},{"key":"ref_74","doi-asserted-by":"crossref","first-page":"97","DOI":"10.1061\/(ASCE)0887-3828(2007)21:2(97)","article-title":"Roof Damage in New Homes Caused by Hurricane Charley","volume":"21","author":"Meloy","year":"2007","journal-title":"J. Perform. Constr. Facil."}],"container-title":["Remote Sensing"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/www.mdpi.com\/2072-4292\/16\/20\/3792\/pdf","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2025,10,10]],"date-time":"2025-10-10T16:12:09Z","timestamp":1760112729000},"score":1,"resource":{"primary":{"URL":"https:\/\/www.mdpi.com\/2072-4292\/16\/20\/3792"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2024,10,12]]},"references-count":74,"journal-issue":{"issue":"20","published-online":{"date-parts":[[2024,10]]}},"alternative-id":["rs16203792"],"URL":"https:\/\/doi.org\/10.3390\/rs16203792","relation":{},"ISSN":["2072-4292"],"issn-type":[{"value":"2072-4292","type":"electronic"}],"subject":[],"published":{"date-parts":[[2024,10,12]]}}}