Work

Exploring the potential of machine learning for leaf angle distribution type identification from leveled digital photography: A case study for broadleaf tree and shrub species

Year: 2023

Type: article

Source: Agricultural and Forest Meteorology

DOI: 10.1016/j.agrformet.2023.109570

Authors: Margit Aun, Jan Pisek

Institutions: Tartu Observatory, University of Tartu

Language: English

Topic: Remote Sensing and LiDAR Applications

Subfield: Environmental Engineering

Field: Environmental Science

Domain: Physical Sciences

Open Access status: closed

Funders: Eesti Teadusagentuur, Tartu Ülikool

Award: Optical Synergies for Spatiotemporal Remote Sensing of Leaf Angle Distribution with Applications (EST-LEAF)

OpenAlex ID: W4381326299

FWCI: 0.166

Cites: 44

Cited by: 2

Related to: 10