Tools

LEADER 03874cam 2200577 i 4500

001 on1450451751;

003 OCoLC;

005 20250721095905.0;

006 m o d ;

007 cr unu||||||||;

008 240731s2024 ncua obm 000 0 eng d;

035 a| (Sirsi) o1450451751;

035 a| (OCoLC)1450451751;

043 a| n-us-tn;

049 a| EREE;

090 a| HV636.T45;

100 1 a| Cagua, Germ̀n Camilo Buitrago,e| author.?| UNAUTHORIZED;

245 13 a| An approach using low-cost drone imagery with an image analysis model to evaluate disaster recoveries /c| by Germ̀n Camilo Buitrago Cagua.;

264 1 a| [Greenville, N.C.] :b| [East Carolina University],c| 2024.;

300 a| 1 online resource (53 pages) :b| illustrations (some color);

336 a| textb| txt2| rdacontent;

337 a| computerb| c2| rdamedia;

338 a| online resourceb| cr2| rdacarrier;

347 a| text fileb| application/pdfc| 1.9 MB2| rda;

538 a| System requirements: Adobe Reader.;

538 a| Mode of access: World Wide Web.;

502 b| M.S.c| East Carolina Universityd| 2024.;

502 a| Presented to the Faculty of the Department of Construction Management;

500 a| Advisor: Daniel V. Perrucci;

500 a| Title from PDF t.p. (viewed July 15, 2025).;

520 3 a| After disaster events, community leaders face the challenge of rebuilding societal infrastructure and managing the allocation of funds that can extend or reduce durations of recovery periods. Decision-makers must quickly determine how to allocate financial resources while minimizing the population distress. Conventional methods of assessing damage and evaluating relief requirements fall short of meeting the urgent recovery needs after a disaster, which could lead to negative effects on communities, such as involuntary relocation and neighborhood gentrification. This evaluates current methods and technologies and suggests a new approach using low-cost consumer drones and modern image analysis techniques to aid initial damage assessments and track recovery progress to promote dynamic appropriation. Using drone imagery allows for quick data collection and dynamic analysis, enabling multiple reviews during the disaster response and recovery phases. The study explores the potential of temporary blue tarps ("blue roofs") as a metric of recovery progress and validates the automated analysis. This research analyzes a case study of images collected during the 2020 tornado in Middle Tennessee. By providing an affordable (i.e., low-cost drones) and efficient data analysis tools (i.e., modern image analysis techniques), the goal of this research is to improve resource allocation and decision-making in post-disaster recovery efforts by government officials.;

504 a| Includes bibliographical references.;

650 0 a| Disaster reliefz| Tennessee, Middle.=| ^A5183;

650 0 a| Tornado damagez| Tennessee, Middle.=| ^A1361060;

650 0 a| Drone aircraftz| Tennessee, Middle.=| ^A241920;

650 0 a| Emergency managementz| Tennessee, Middle.=| ^A279941;

650 0 a| Disaster reliefz| Tennessee, Middlex| Finance.=| ^A5183;

650 0 a| Image analysisz| Tennessee, Middle.=| ^A368011;

653 a| Disaster recovery;

653 a| Drone imagery;

653 a| Consumer Drones;

700 1 a| Perrucci, Daniel V.,e| degree supervisor.?| UNAUTHORIZED;

710 2 a| East Carolina University.b| Department of Construction Management.=| ^A1228087;

856 40 z| Access via ScholarShipu| http://hdl.handle.net/10342/13461;

949 o| wjh;

994 a| C0b| ERE;

596 a| 1 4;

998 a| 6462761;

999 a| CLICK ON WEB ADDRESSw| ASISc| 1i| 6462761-1001l| JNETm| JOYNERr| Ys| Yt| JNE3ETDu| 7/31/2024x| ETDz| JERESOURCE;

999 a| CLICK ON WEB ADDRESSw| ASISc| 1i| 6462761-2001l| HSLELECm| HSLr| Ys| Yt| HEETDu| 7/31/2024x| ETDz| HERESOURCE;

An approach using low-cost drone imagery with an image analysis model to evaluate disaster recoveries / by Germ̀n Camilo Buitrago Cagua.

Author/creator	Cagua, Germ̀n Camilo Buitrago author.
Other author	Perrucci, Daniel V., degree supervisor.
Other author	East Carolina University. Department of Construction Management.
Format	Theses and dissertations
Publication	[Greenville, N.C.] : [East Carolina University], 2024.
Description	1 online resource (53 pages) : illustrations (some color)
Supplemental Content	Access via ScholarShip
Subjects	Disaster relief--Tennessee, Middle. Tornado damage--Tennessee, Middle. Drone aircraft--Tennessee, Middle. Emergency management--Tennessee, Middle. Disaster relief--Tennessee, Middle. --Finance. Image analysis--Tennessee, Middle.

Summary	After disaster events, community leaders face the challenge of rebuilding societal infrastructure and managing the allocation of funds that can extend or reduce durations of recovery periods. Decision-makers must quickly determine how to allocate financial resources while minimizing the population distress. Conventional methods of assessing damage and evaluating relief requirements fall short of meeting the urgent recovery needs after a disaster, which could lead to negative effects on communities, such as involuntary relocation and neighborhood gentrification. This evaluates current methods and technologies and suggests a new approach using low-cost consumer drones and modern image analysis techniques to aid initial damage assessments and track recovery progress to promote dynamic appropriation. Using drone imagery allows for quick data collection and dynamic analysis, enabling multiple reviews during the disaster response and recovery phases. The study explores the potential of temporary blue tarps ("blue roofs") as a metric of recovery progress and validates the automated analysis. This research analyzes a case study of images collected during the 2020 tornado in Middle Tennessee. By providing an affordable (i.e., low-cost drones) and efficient data analysis tools (i.e., modern image analysis techniques), the goal of this research is to improve resource allocation and decision-making in post-disaster recovery efforts by government officials.
General note	Advisor: Daniel V. Perrucci
General note	Title from PDF t.p. (viewed July 15, 2025).
Dissertation note	M.S. East Carolina University 2024.
Dissertation note	Presented to the Faculty of the Department of Construction Management
Bibliography note	Includes bibliographical references.
Technical details	System requirements: Adobe Reader.
Technical details	Mode of access: World Wide Web.

Availability

Library	Location	Call Number	Status	Item Actions
	Electronic Resources	Access Content Online	✔ Available

An approach using low-cost drone imagery with an image analysis model to evaluate disaster recoveries / by Germ̀n Camilo Buitrago Cagua.

Click here for more information about this title

Availability