An Empirical Analysis of Above-Ground Biomass and Carbon Sequestration Using UAV Photogrammetry and Machine Learning Techniques

This research aims to analyze above-ground biomass and carbon sequestration using unmanned aerial vehicle (UAV) photogrammetry and machine learning methods, focusing on a case study of the dry dipterocarp forest in the Ban Hin Lat and Hin Lat Phatthana Community Forests. The methodology involved con...

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Autores principales:	Thinnakon Angkahad, Teerawong Laosuwan, Satith Sangpradid, Narueset Prasertsri, Yannawut Uttaruk, Titipong Phoophathong, Joe Nuchthapho
Formato:	Artigo
Lenguaje:	Inglês
Publicado:	IEEE 2024-01-01
Colección:	IEEE Access
Materias:	Remote sensing aerial image processing machine learning above ground biomass carbon sequestrations
Acceso en línea:	https://ieeexplore.ieee.org/document/10786986/
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