Research article · 2026

Urban Tree Crown Detection based on Deep Learning and High-Resolution Aerial Imagery: PTCNet for Pullman, WA, USA

Remote Sensing Applications: Society and Environment

Publication details

Authors: O. M. Alegbeleye, A. J. H. Meddens, Y. O. Rotimi, K. G. Ibeh

Venue: Remote Sensing Applications: Society and Environment

Volume/issue: 41

Article number: 101818

DOI: 10.1016/j.rsase.2025.101818

Summary

A comparison of deep-learning detectors using high-resolution aerial imagery, culminating in PTCNet and an urban tree inventory for Pullman, Washington.

remote sensingdeep learningurban forestrytree crown detectionaerial imagerygeospatial analysis