Morphological Approach for Forest Woody Debris Detection Using Multi-Platform, Multi-Resolution Lidar Data

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MetadadosDescriçãoIdioma
Autor(es): dc.contributorUniversidade Estadual Paulista (UNESP)-
Autor(es): dc.contributorLyles School of Civil Engineering-
Autor(es): dc.contributorPurdue University-
Autor(es): dc.creatorDos Santos, Renato Cesar-
Autor(es): dc.creatorShin, Sang-Yeop-
Autor(es): dc.creatorManish, Raja-
Autor(es): dc.creatorZhou, Tian-
Autor(es): dc.creatorFei, Songlin-
Autor(es): dc.creatorHabib, Ayman-
Data de aceite: dc.date.accessioned2025-08-21T23:04:06Z-
Data de disponibilização: dc.date.available2025-08-21T23:04:06Z-
Data de envio: dc.date.issued2025-04-29-
Data de envio: dc.date.issued2023-12-31-
Fonte completa do material: dc.identifierhttp://dx.doi.org/10.1109/IGARSS53475.2024.10642303-
Fonte completa do material: dc.identifierhttps://hdl.handle.net/11449/309119-
Fonte: dc.identifier.urihttp://educapes.capes.gov.br/handle/11449/309119-
Descrição: dc.descriptionWoody Debris (WD) plays an important role in forest ecosystems. It provides critical habitat for plants, animals, and insects, but it is also a source of fuel contributing to fire propagation and sometimes leads to catastrophic wildfire. Traditional field surveys for WD assessments are usually restricted to transects and sample plots. Light Detection and Ranging (LiDAR) point clouds emerge as a valuable source for the development of comprehensive WD detection strategies. Although results from previous studies on LiDAR-based WD detection approaches have been promising, there is still a lack of general strategy for handling point clouds acquired by different platforms with varying characteristics (e.g., point density) in different forest types. In this study, we propose a general morphological WD detection strategy which requires few intuitive thresholds, making it applicable to multi-platform LiDAR datasets in both plantation and natural forests.-
Descrição: dc.descriptionSão Paulo State University Department of Cartography-
Descrição: dc.descriptionPurdue University Lyles School of Civil Engineering-
Descrição: dc.descriptionPurdue University Department of Forestry and Natural Resources-
Descrição: dc.descriptionSão Paulo State University Department of Cartography-
Formato: dc.format8312-8315-
Idioma: dc.languageen-
Relação: dc.relationInternational Geoscience and Remote Sensing Symposium (IGARSS)-
???dc.source???: dc.sourceScopus-
Palavras-chave: dc.subjectForestry-
Palavras-chave: dc.subjectLiDAR-
Palavras-chave: dc.subjectMobile Mapping Systems-
Palavras-chave: dc.subjectMorphological Approach-
Palavras-chave: dc.subjectWoody Debris Detection-
Título: dc.titleMorphological Approach for Forest Woody Debris Detection Using Multi-Platform, Multi-Resolution Lidar Data-
Tipo de arquivo: dc.typeaula digital-
Aparece nas coleções:Repositório Institucional - Unesp

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