AI-Powered Multisensor Fusion for Forest Biomass Mapping: Photogrammetric Canopy Profiles Improve Estimates in Southeastern North Carolina

Zenodo (CERN European Organization for Nuclear Research) 2026 Book Open access

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Authors: Chao Wang, Conghe Song, Todd A. Schroeder, Tamlin M. Pavelsky, Zhengxiao Yan, Yulong Zhang, Fangfang Yao, Yuwei Fu
DOI: 10.5281/zenodo.18688898
Cited by: 0

Abstract

The code used to reproduce figures and analyses of the manuscript entitled "AI-Powered Multisensor Fusion for Forest Biomass Mapping: Photogrammetric Canopy Profiles Improve Estimates in Southeastern North Carolina", which was submitted for peer-review at journal of Landscape Ecology.

Fields of Study & Subjects

Remote Sensing and LiDAR Applications 3D Surveying and Cultural Heritage Remote Sensing in Agriculture

Publication details

Journal / source
Zenodo (CERN European Organization for Nuclear Research)
Publication date
19 February 2026
Language
EN
Document type
Book