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Structural attributes estimation in a natural tropical forest fragment using very high-resolution imagery from unmanned aircraft systems [Estimación de atributos estructurales en un fragmento de bosque tropical natural utilizando imágenes de muy alta resolución obtenidas con sistemas aéreos no tripulados]

dc.contributor.authorVega J
dc.contributor.authorPalomino-ángel S
dc.contributor.authorAnaya J.
dc.date.accessioned2022-09-14T14:34:09Z
dc.date.available2022-09-14T14:34:09Z
dc.date.created2022
dc.identifier.issn17946190
dc.identifier.urihttp://hdl.handle.net/11407/7582
dc.descriptionStructural attributes are fundamental biophysical parameters of forests, useful for environmental monitoring and plan-ning. Canopy height (CH) is an important input for estimating several biophysical parameters such as aboveground biomass and carbon stocks, and can be associated with forest degradation, deforestation, emission reduction. Thus, an accurate CH estimation is a crucial issue in climate change, helping to increase biomass estimation accuracy, and support REDD+ initiatives. Very-high-resolution (VHR) imagery from unmanned aircraft systems (UAS’s) have been studied as a low cost means for CH estimation at local scales, however, estimation the accuracy is a factor that deter-mines its effectiveness. We evaluated the ability of VHR imagery from UAS’s to derive structural attributes, specifically tree-crown area and height, in a tropical forest fragment located in the foothills of the Andes, in the humid tropical forests of the region known as Biogeographic Chocó in Colombia South America. We used a structure from motion (SfM) approach to derive the forest fragment’s CH, and we applied mean-shift algorithms to identify single tree crowns. We performed accuracy assessment using tree height derived from field campaigns and visual interpretation of VHR imagery. Results showed a RMSE of 3.6 m of the canopy height model (CHM) with a R2 = 0.75; the total accuracy for delineating tree crowns was 73.9%. We found that using VHR imagery collected by UASs, specific trees and canopy gaps can be identified in forest fragments, which is an important step to determine forest structure. © 2022, Universidad Nacional de Colombia. All rights reserved.eng
dc.language.isoeng
dc.publisherUniversidad Nacional de Colombia
dc.relation.isversionofhttps://www.scopus.com/inward/record.uri?eid=2-s2.0-85130422425&doi=10.15446%2fesrj.v26n1.95405&partnerID=40&md5=624654251aff5e4b755cac98f839c44d
dc.sourceEarth Sciences Research Journal
dc.titleStructural attributes estimation in a natural tropical forest fragment using very high-resolution imagery from unmanned aircraft systems [Estimación de atributos estructurales en un fragmento de bosque tropical natural utilizando imágenes de muy alta resolución obtenidas con sistemas aéreos no tripulados]
dc.typeArticle
dc.rights.accessrightsinfo:eu-repo/semantics/restrictedAccess
dc.publisher.programIngeniería Ambiental
dc.publisher.programIngeniería Civil
dc.type.spaArtículo
dc.identifier.doi10.15446/esrj.v26n1.95405
dc.subject.keywordCanopy Height Models (CHM)eng
dc.subject.keywordCrown delineationeng
dc.subject.keywordForest heighteng
dc.subject.keywordREDD+eng
dc.subject.keywordUAS imageryeng
dc.relation.citationvolume26
dc.relation.citationissue1
dc.relation.citationstartpage1
dc.relation.citationendpage12
dc.publisher.facultyFacultad de Ingenierías
dc.affiliationVega, J., Facultad de Ingeniería, Universidad de Medellín, Medellín, Colombia
dc.affiliationPalomino-ángel, S., Facultad de Ingeniería, Universidad de Medellín, Medellín, Colombia, Facultad de Ingeniería, Universidad de San Buenaventura, Medellín, Colombia
dc.affiliationAnaya, J., Facultad de Ingeniería, Universidad de Medellín, Medellín, Colombia
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dc.type.coarhttp://purl.org/coar/resource_type/c_6501
dc.type.versioninfo:eu-repo/semantics/publishedVersion
dc.type.driverinfo:eu-repo/semantics/article
dc.identifier.reponamereponame:Repositorio Institucional Universidad de Medellín
dc.identifier.repourlrepourl:https://repository.udem.edu.co/
dc.identifier.instnameinstname:Universidad de Medellín


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