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International Journal of Remote Sensing 2026Northwest A&FRemote sensing

Urban forest tree species classification and change monitoring in Xi’an based on multi-source time-series features

Optimized random forest classification of Xi’an urban forests using multi-source time-series features achieves 77.4% accuracy and reveals differentiated 2020, 2025 forest change patterns.

Chenlan Shi, Yang Cao, Yang Cao, Yifei Cao and 3 more

Published Jun 10, 2026 · 0 citations

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AI panel: 9 of 20 reviewers recommend it
lenient 4/5
medium 4/10
strict 1/5