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    Monitoring Moso bamboo (Phyllostachys pubescens) forests damage caused by Pantana phyllostachysae Chao considering phenological differences between on-year and off-year using UAV h... by Anqi He, Zhanghua Xu, Yifan Li, Bin Li, Xuying Huang, Huafeng Zhang, Xiaoyu Guo, Zenglu Li

    Published 2025-01-01
    “…However, monitoring P. phyllostachysae damage using remote sensing data is challenging because the off-year Moso bamboo has physiological characteristics similar to on-year Moso bamboo infested with P. phyllostachysae. This study utilizes the Recursive Feature Elimination (RFE) algorithm to investigate hyperspectral remote sensing characteristics of P. phyllostachysae in Moso bamboo forests. …”
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    Spatio-temporal correlation between growth of science and technology innovation parks (STIPs) and urban development in Yangtze Delta region (YDR), China using remote sensing and GI... by Yue Wu, Siyuan Zhang, Auwalu Faisal Koko, Zexu Han

    Published 2025-12-01
    “…Using a mixed-method approach that integrates regression analysis with geospatial techniques, the research analyzes key metrics such as Gross Domestic Product (GDP), industrial structure, innovation capacity, population growth, and land utilization. The findings reveal a strong positive correlation, where an average 1% increase in STIPs contributes to a 0.7015% rise in GDP. …”
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