Search Results - "Huang, Jianxi"

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  1. 1

    Winter Wheat Yield Prediction at County Level and Uncertainty Analysis in Main Wheat-Producing Regions of China with Deep Learning Approaches by Wang, Xinlei, Huang, Jianxi, Feng, Quanlong, Yin, Dongqin

    Published in Remote sensing (Basel, Switzerland) (01-06-2020)
    “…Timely and accurate forecasting of crop yields is crucial to food security and sustainable development in the agricultural sector. However, winter wheat yield…”
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    Journal Article
  2. 2

    Assessing the remotely sensed Drought Severity Index for agricultural drought monitoring and impact analysis in North China by Zhang, Jie, Mu, Qiaozhen, Huang, Jianxi

    Published in Ecological indicators (01-04-2016)
    “…•The Drought Severity Index (DSI) was evaluated for agricultural drought monitoring.•The drought impact on winter wheat yield was assessed in North China.•The…”
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  3. 3

    A global record of annual terrestrial Human Footprint dataset from 2000 to 2018 by Mu, Haowei, Li, Xuecao, Wen, Yanan, Huang, Jianxi, Du, Peijun, Su, Wei, Miao, Shuangxi, Geng, Mengqing

    Published in Scientific data (19-04-2022)
    “…Human Footprint, the pressure imposed on the eco-environment by changing ecological processes and natural landscapes, is raising worldwide concerns on…”
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  4. 4

    Integration of a Crop Growth Model and Deep Learning Methods to Improve Satellite-Based Yield Estimation of Winter Wheat in Henan Province, China by Xie, Yi, Huang, Jianxi

    Published in Remote sensing (Basel, Switzerland) (01-11-2021)
    “…Timely and accurate regional crop-yield estimates are crucial for guiding agronomic practices and policies to improve food security. In this study, a…”
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  5. 5

    The 10-m crop type maps in Northeast China during 2017–2019 by You, Nanshan, Dong, Jinwei, Huang, Jianxi, Du, Guoming, Zhang, Geli, He, Yingli, Yang, Tong, Di, Yuanyuan, Xiao, Xiangming

    Published in Scientific data (02-02-2021)
    “…Northeast China is the leading grain production region in China where one-fifth of the national grain is produced; however, consistent and reliable crop maps…”
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  6. 6

    Garlic and Winter Wheat Identification Based on Active and Passive Satellite Imagery and the Google Earth Engine in Northern China by Tian, Haifeng, Pei, Jie, Huang, Jianxi, Li, Xuecao, Wang, Jian, Zhou, Boyan, Qin, Yaochen, Wang, Li

    Published in Remote sensing (Basel, Switzerland) (01-11-2020)
    “…Garlic and winter wheat are major economic and grain crops in China, and their boundaries have increased substantially in recent decades. Updated and accurate…”
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  7. 7

    The impact of Russia-Ukraine conflict on global food security by Lin, Faqin, Li, Xuecao, Jia, Ningyuan, Feng, Fan, Huang, Hai, Huang, Jianxi, Fan, Shenggen, Ciais, Philippe, Song, Xiao-Peng

    Published in Global food security (01-03-2023)
    “…Ukraine and Russia are two important grain producers and exporters in the world, accounting for 12% and 17% of the world's wheat exports, respectively. The…”
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  8. 8

    The critical benefits of snowpack insulation and snowmelt for winter wheat productivity by Zhu, Peng, Kim, Taegon, Jin, Zhenong, Lin, Chenxi, Wang, Xuhui, Ciais, Philippe, Mueller, Nathaniel D., Aghakouchak, Amir, Huang, Jianxi, Mulla, David, Makowski, David

    Published in Nature climate change (07-04-2022)
    “…How climate change will affect overwintering crops is largely unknown due to the complex and understudied interactions among temperature, rainfall and…”
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  9. 9

    A Spatio-Temporal Capsule Neural Network with Self-Correlation Routing for EEG Decoding of Semantic Concepts of Imagination and Perception Tasks by Huang, Jianxi, Chang, Yinghui, Li, Wenyu, Tong, Jigang, Du, Shengzhi

    Published in Sensors (Basel, Switzerland) (15-09-2024)
    “…Decoding semantic concepts for imagination and perception tasks (SCIP) is important for rehabilitation medicine as well as cognitive neuroscience…”
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  10. 10

    An Automated Method for Extracting Rivers and Lakes from Landsat Imagery by Jiang, Hao, Feng, Min, Zhu, Yunqiang, Lu, Ning, Huang, Jianxi, Xiao, Tong

    “…The water index (WI) is designed to highlight inland water bodies in remotely sensed imagery. The application of WI for water body mapping is mainly based on…”
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  11. 11

    Optimizing Feature Selection of Individual Crop Types for Improved Crop Mapping by Yin, Leikun, You, Nanshan, Zhang, Geli, Huang, Jianxi, Dong, Jinwei

    Published in Remote sensing (Basel, Switzerland) (01-01-2020)
    “…Accurate crop planting area information is of significance for understanding regional food security and agricultural development planning. While increasing…”
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  12. 12

    Estimation of the vertical leaf area profile of corn (Zea mays) plants using terrestrial laser scanning (TLS) by Su, Wei, Zhu, Dehai, Huang, Jianxi, Guo, Hao

    Published in Computers and electronics in agriculture (01-07-2018)
    “…•Estimating the vertical leaf area profile of corn using terrestrial LiDAR points.•Voxel size and the presence of non-photosynthetic tissues are two factors…”
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  13. 13
  14. 14

    Bayesian Posterior-Based Winter Wheat Yield Estimation at the Field Scale through Assimilation of Sentinel-2 Data into WOFOST Model by Wu, Yantong, Xu, Wenbo, Huang, Hai, Huang, Jianxi

    Published in Remote sensing (Basel, Switzerland) (01-08-2022)
    “…Accurate and timely regional crop yield information, particularly field-level yield estimation, is essential for commodity traders and producers in planning…”
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  15. 15

    Assimilating Soil Moisture Retrieved from Sentinel-1 and Sentinel-2 Data into WOFOST Model to Improve Winter Wheat Yield Estimation by Zhuo, Wen, Huang, Jianxi, Li, Li, Zhang, Xiaodong, Ma, Hongyuan, Gao, Xinran, Huang, Hai, Xu, Baodong, Xiao, Xiangming

    Published in Remote sensing (Basel, Switzerland) (01-07-2019)
    “…Crop yield estimation at a regional scale over a long period of time is of great significance to food security. In past decades, the integration of remote…”
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  16. 16

    Using MODIS LAI Data to Monitor Spatio-Temporal Changes of Winter Wheat Phenology in Response to Climate Warming by Song, Yang, Wang, Jing, Yu, Qiang, Huang, Jianxi

    Published in Remote sensing (Basel, Switzerland) (01-03-2020)
    “…Understanding spatio-temporal changes in winter wheat (Triticum aestivum L) phenology and its response to temperature will be vital for adapting to climate…”
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  17. 17

    Early mapping of winter wheat in Henan province of China using time series of Sentinel-2 data by Huang, Xianda, Huang, Jianxi, Li, Xuecao, Shen, Qianrong, Chen, Zhengchao

    Published in GIScience and remote sensing (31-12-2022)
    “…Accurate mapping of winter wheat in its early stages is crucial for crop growth monitoring and crop yield forecasting. However, early mapping of winter wheat…”
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  18. 18

    Mapping crop type in Northeast China during 2013–2021 using automatic sampling and tile-based image classification by Xuan, Fu, Dong, Yi, Li, Jiayu, Li, Xuecao, Su, Wei, Huang, Xianda, Huang, Jianxi, Xie, Zixuan, Li, Ziqian, Liu, Hui, Tao, Wancheng, Wen, Yanan, Zhang, Ying

    “…•Tile-based random forest classification method.•Crop maps with long time series.•Multi-source crop samples for classifier training.•Close agreement comparing…”
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  19. 19

    An Improved Approach of Winter Wheat Yield Estimation by Jointly Assimilating Remotely Sensed Leaf Area Index and Soil Moisture into the WOFOST Model by Zhuo, Wen, Huang, Hai, Gao, Xinran, Li, Xuecao, Huang, Jianxi

    Published in Remote sensing (Basel, Switzerland) (01-03-2023)
    “…The crop model data assimilation approach has been acknowledged as an effective tool for monitoring crop growth and estimating yield. However, the choice of…”
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  20. 20

    Large-Scale Crop Mapping Based on Machine Learning and Parallel Computation with Grids by Yang, Ning, Liu, Diyou, Feng, Quanlong, Xiong, Quan, Zhang, Lin, Ren, Tianwei, Zhao, Yuanyuan, Zhu, Dehai, Huang, Jianxi

    Published in Remote sensing (Basel, Switzerland) (01-06-2019)
    “…Large-scale crop mapping provides important information in agricultural applications. However, it is a challenging task due to the inconsistent availability of…”
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