[1] |
ZHAO Jin-long, ZHANG Xue-yi, LI Yang.
Hyperspectral Remote Sensing of Crop Information Based on Machine Learning Algorithm: State of the Art and Beyond
[J]. Chinese Journal of Agrometeorology, 2023, 44(11): 1057-1071.
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[2] |
HUANG Rui-xi, ZHAO Jun-fang, HUO Zhi-guo, PENG Hui-wen, XIE Hong-fei.
Application of Deep Learning Technology in Monitoring, Forecasting and Risk Assessment of Agricultural Drought
[J]. Chinese Journal of Agrometeorology, 2023, 44(10): 943-952.
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[3] |
WANG Xin, YANG De-sheng, WANG Rui-ting, ZHAO Yi, WANG Ming-tian.
Evaluation of Rice Affected by Heat Damage in the Sichuan Basin in 2022 Based on Satellite and In-situ Observation
[J]. Chinese Journal of Agrometeorology, 2023, 44(06): 523-534.
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[4] |
ZHANG Peng, YU Hong-bo, ZHANG Qiao-feng , GAO Yi-bo, ZHANG Wei-qing, ZHANG Li-hua.
Applicability Evaluation of FY-3B/3C and AMSR2 Soil Moisture Products in Xilingol Grassland
[J]. Chinese Journal of Agrometeorology, 2023, 44(03): 238-251.
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[5] |
YAN Yu-xing, LV Xiao-liang , WANG Ya-kai, YU Qiang.
Bibliometric Analysis of Research and Application of Solar-Induced Chlorophyll Fluorescence
[J]. Chinese Journal of Agrometeorology, 2023, 44(02): 106-122.
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[6] |
HUANG Lu, BAO Yun-xuan, GUO Ming-qi, ZHU Feng, YANG Ron-ming.
Hyperspectral Characteristics of Rice Leaf and Yield Estimation under the Infestation of Cnaphalocrocis medinalis Güenée
[J]. Chinese Journal of Agrometeorology, 2023, 44(02): 154-164.
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[7] |
CHENG Chi, SUN Peng-jie, CUI Yang.
Two Step Calculation Model of Surface Solar Radiation in Sichuan Province Based on MODIS Data
[J]. Chinese Journal of Agrometeorology, 2022, 43(12): 969-979.
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[8] |
PENG Hui-wen, ZHAO Jun-fang, XIE Hong-fei, FANG Shi-bo.
Progresses of Crop Model Application and Its Integration with Remote Sensing Technology
[J]. Chinese Journal of Agrometeorology, 2022, 43(08): 644-656.
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[9] |
REN Feng, WANG Qi, YANG Jia, REN Qing-fu.
Retrieving of the Forest Stock Volume Based on the Red Edge Bands of GF-6 Remote Sensing Satellite: A Case Study of Coniferous Forest in Xining City
[J]. Chinese Journal of Agrometeorology, 2022, 43(05): 408-420.
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[10] |
QIAN Ya, GUO Jian-mao, LI Ling, GUO Cai-yun, LIU Jun-wei.
Estimation Effect of Three Models Based on MODIS Data on Regional Maize Productivity
[J]. Chinese Journal of Agrometeorology, 2021, 42(04): 297-306.
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[11] |
WANG Wei-dan, SUN Li, PEI Zhi-yuan, CHEN Yuan-yuan.
Performances of Remote Sensing Monitoring Indices of Agricultural Drought in Growing Season of Typical Dry Year in Northeast China
[J]. Chinese Journal of Agrometeorology, 2021, 42(04): 307-317.
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[12] |
YANG Jin-yun, ZHANG Sha, BAI Yun, HUANG An-qi, ZHANG Jia-hua.
SPEI Simulation for Monitoring Drought Based Machine Learning Integrating Multi-Source Remote Sensing Data in Shandong
[J]. Chinese Journal of Agrometeorology, 2021, 42(03): 230-242.
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[13] |
CAI Da-xin,LIU Shao-jun,CHEN Hui-lin,TIAN Guang-hui.
Information Diffusion Model of Banana Yield Estimation Based on Vegetation Growth
[J]. Chinese Journal of Agrometeorology, 2020, 41(09): 587-596.
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[14] |
SHI Tao, YANG Tai-ming, HUANG Yong, Li Xiang, LIU Qi, YANG Yuan-jian.
Key Technologies of Monitoring High Temperature Stress to Rice by Portable UAV Multi Spectral Remote Sensing
[J]. Chinese Journal of Agrometeorology, 2020, 41(09): 597-604.
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[15] |
JIANG Shao-jie, SONG Hai-qing, LI Yun-peng, PAN Xue-biao, JIANG Hui-fei.
Data Fusion and Evaluation of Soil Moisture Products from FY-3B/3C Microwave Remote Sensing in Inner Mongolia
[J]. Chinese Journal of Agrometeorology, 2020, 41(08): 529-538.
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