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

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...

Full description

Saved in:
Bibliographic Details
Main Authors: Thinnakon Angkahad, Teerawong Laosuwan, Satith Sangpradid, Narueset Prasertsri, Yannawut Uttaruk, Titipong Phoophathong, Joe Nuchthapho
Format: Article
Language:English
Published: IEEE 2024-01-01
Series:IEEE Access
Subjects:
Remote sensing
aerial image processing
machine learning
above ground biomass
carbon sequestrations
Online Access:https://ieeexplore.ieee.org/document/10786986/
Tags: Add Tag
No Tags, Be the first to tag this record!

Internet

https://ieeexplore.ieee.org/document/10786986/

Similar Items