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Decoding Shenzhen's tree growth seasons using smart remote sensing

  Copy link into your clipboard //science-technology.news-articles.net/content/2 .. e-growth-seasons-using-smart-remote-sensing.html
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          🞛 This publication is a summary or evaluation of another publication 🞛 This publication contains editorial commentary or bias from the source
In a leap for urban ecology, researchers have unveiled a cutting-edge method to dynamically estimate seasonal tree heights in Shenzhen. By seamlessly integrating multi-source remote sensing data with advanced machine learning algorithms,
The article from MSN discusses a study conducted by researchers from the Chinese Academy of Forestry and the University of Chinese Academy of Sciences, focusing on the tree growth seasons in Shenzhen, China, using smart remote sensing technology. This study utilized satellite imagery and advanced remote sensing techniques to analyze the phenological changes in urban trees, specifically looking at how these trees adapt to the city's unique microclimates and environmental conditions. The research highlights the application of technology in urban forestry to better understand and manage urban green spaces, providing insights into tree health, growth patterns, and their response to urban stressors like pollution and temperature variations. This approach not only aids in urban planning but also contributes to ecological conservation efforts by optimizing tree planting and maintenance strategies in rapidly urbanizing areas like Shenzhen.

Read the Full MSN Article at:
[ https://www.msn.com/en-us/technology/general/decoding-shenzhen-s-tree-growth-seasons-using-smart-remote-sensing/ar-AA1yQtmM ]