Urban Tree Canopy Mapping and Analysis Using Iterative Annotation Method and Deep Learning: A Case Study in Beijing

Urban Tree Canopy Mapping and Analysis Using Iterative Annotation Method and Deep Learning: A Case Study in Beijing

Urban trees have significant ecological and social functions, and generating urban tree canopy (UTC) maps is an effective method for understanding their distribution. However, existing studies primarily rely on medium-resolution to low-resolution imagery for large-scale extraction or high-resolution...

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Bibliographic Details
Main Authors: Yulong Ding, Ximin Cui, Zhengchao Chen, Zeqing Wang, Debao Yuan, Xiang Meng, Xuan Yang, Yue Xu, Xiangyu Tian
Format: Article
Language:English
Published: IEEE 2025-01-01
Series:IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing
Subjects:
Dataset production
deep learning
high-resolution images
remote sensing
urban tree canopy (UTC)
Online Access:https://ieeexplore.ieee.org/document/10969522/
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https://ieeexplore.ieee.org/document/10969522/

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