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  1. 121

    Study on the Method of Vineyard Information Extraction Based on Spectral and Texture Features of GF-6 Satellite Imagery by Xuemei Han, Huichun Ye, Yue Zhang, Chaojia Nie, Fu Wen

    Published 2024-10-01
    “…This study selected the main oasis area of Turpan City in Xinjiang, China, as the research area. …”
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  2. 122

    Landslide susceptibility evaluation and determination of critical influencing factors in eastern Sichuan mountainous area, China by Lin Zhang, Zhengxi Guo, Shi Qi, Tianheng Zhao, Bingchen Wu, Peng Li

    Published 2024-12-01
    “…The results shown that Random Forest Model proves to be the most accurate (95.1 %) in assessing the spatial distribution of shallow landslides susceptibility, followed by the Artificial Neural Network model (78.6 %), the Support Vector Machine model (69.8 %), the Generalized additive model (68.1 %) and the Logistic Regression model (67.6 %).The area with high susceptible landslide possibility was 25.3 km2 occupying 14.8 % of the study region, it is mainly distributed in the west of Tianchi Lake, southeast of Huaying City and west of the study area, along with Xiangyu Railway. …”
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    Performance of invariants of gravity gradient tensor in matching navigation: A case study in South China Sea by Xiaoyun Wan, Ming Li, Panpan Chen, Faisal Hussain

    Published 2025-05-01
    “…However, using gravity gradient invariants in existing research is seldom a concern. The gravity gradient tensor has three invariants, named as I1, I2 and I3. …”
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