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Indexed Open Access Databases
Hasil Pencarian - "District (China)"
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An Interannual Transfer Learning Approach for Crop Classification in the Hetao Irrigation District, China
Diterbitkan 2022-03-01Dapatkan teks lengkap
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Monitoring of ground deformation in Liulin district, China using InSAR approaches
Diterbitkan 2018-03-01Dapatkan teks lengkap
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Coverage and impact of influenza vaccination among children in Minhang District, China, 2013–2020
Diterbitkan 2023-08-01Dapatkan teks lengkap
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Retain or remove? Decision-making of rural industrial park redevelopment in Nanhai District, China
Diterbitkan 2024-02-01Dapatkan teks lengkap
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A unique vadose zone model for shallow aquifers: the Hetao irrigation district, China
Diterbitkan 2019-07-01Dapatkan teks lengkap
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Geographic variation in health insurance benefits in Qianjiang District, China: a cross-sectional study
Diterbitkan 2018-02-01Dapatkan teks lengkap
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The Design and Check of Regional Typical Rainfall Processes: A Case Study of Yongnian District, China
Diterbitkan 2018-01-01Dapatkan teks lengkap
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Effects of Drip Irrigation Models on Chemical Clogging under Saline Water Use in Hetao District, China
Diterbitkan 2018-03-01Dapatkan teks lengkap
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Variable-Weighted Linear Combination Model for Landslide Susceptibility Mapping: Case Study in the Shennongjia Forestry District, China
Diterbitkan 2017-11-01"…On this basis, the VWLC model is established and applied to regional landslide susceptibility mapping for the Shennongjia Forestry District, China, where shallow landslides frequently occur. …"
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A data-driven approach for landslide susceptibility mapping: a case study of Shennongjia Forestry District, China
Diterbitkan 2018-01-01"…The main purpose of this study was to establish a data-driven approach and assess its potential for shallow landslide susceptibility mapping of the Shennongjia Forestry District, China. For the data processing, Fisher segmenting was used for the classification of topographical factors (gradient, relief amplitude, plan curvature, and normalized difference vegetation index) and the improved Otsu method was used to determine the buffer length thresholds of the locational factors (proximity to roads, rivers and faults). …"
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