Monitoring temporal changes in large urban street trees using remote sensing and deep learning.

ABSTRACT: In the rapidly changing dynamics of urbanization, urban forests offer numerous benefits to city dwellers. However, the information available on these resources is often outdated or non-existent, leading in part to inequitable access to these benefits for the population. Access to equitable and just green spaces is a challenge for local governments, allowing the city's inhabitants to enjoy a healthy environment. In this context, remote sensing serves as a powerful data source that enables the monitoring of the evolution and dynamics of cities over time, as well as changes in urban forests. For this study, our focus is on large trees, defined as those with a canopy diameter exceeding seven meters. These trees play a vital role in offering ecosystem services that improve the environment, biod

SUBMITTER: Velasquez-Camacho L 

PROVIDER: S-EPMC12200653 | biostudies-literature | 2025

REPOSITORIES: biostudies-literature