Hasil Pencarian - Nengcheng Chen

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  1. 1
    Provenance Information Representation and Tracking for Remote Sensing Observations in a Sensor Web Enabled Environment

    Provenance Information Representation and Tracking for Remote Sensing Observations in a Sensor Web Enabled Environment oleh Zeqiang Chen, Nengcheng Chen

    Diterbitkan 2015-06-01
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  2. 2
    A Real-Time and Open Geographic Information System and Its Application for Smart Rivers: A Case Study of the Yangtze River

    A Real-Time and Open Geographic Information System and Its Application for Smart Rivers: A Case Study of the Yangtze River oleh Zeqiang Chen, Nengcheng Chen

    Diterbitkan 2019-02-01
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  3. 3
    Satellite Monitoring of Urban Land Change in the Middle Yangtze River Basin Urban Agglomeration, China between 2000 and 2016

    Satellite Monitoring of Urban Land Change in the Middle Yangtze River Basin Urban Agglomeration, China between 2000 and 2016 oleh Dandan Liu, Nengcheng Chen

    Diterbitkan 2017-10-01
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  4. 4
    A Cloud Computing-Enabled Spatio-Temporal Cyber-Physical Information Infrastructure for Efficient Soil Moisture Monitoring

    A Cloud Computing-Enabled Spatio-Temporal Cyber-Physical Information Infrastructure for Efficient Soil Moisture Monitoring oleh Lianjie Zhou, Nengcheng Chen, Zeqiang Chen

    Diterbitkan 2016-06-01
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  5. 5
    Migratable urban street scene sensing method based on vision language pre-trained model

    Migratable urban street scene sensing method based on vision language pre-trained model oleh Yan Zhang, Fan Zhang, Nengcheng Chen

    Diterbitkan 2022-09-01
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  6. 6
    A Sharable and Efficient Metadata Model for Heterogeneous Earth Observation Data Retrieval in Multi-Scale Flood Mapping

    A Sharable and Efficient Metadata Model for Heterogeneous Earth Observation Data Retrieval in Multi-Scale Flood Mapping oleh Nengcheng Chen, Lianjie Zhou, Zeqiang Chen

    Diterbitkan 2015-07-01
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  7. 7
    Spatiotemporal Dynamics of Remote-Sensed Forel–Ule Index for Inland Waters Across China During the COVID-19 Pandemic

    Spatiotemporal Dynamics of Remote-Sensed Forel–Ule Index for Inland Waters Across China During the COVID-19 Pandemic oleh Lei Xu, Jie Liu, Nengcheng Chen

    Diterbitkan 2023-01-01
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  8. 8
    Topology Adaptive Water Boundary Extraction Based on a Modified Balloon Snake: Using GF-1 Satellite Images as an Example

    Topology Adaptive Water Boundary Extraction Based on a Modified Balloon Snake: Using GF-1 Satellite Images as an Example oleh Wenying Du, Nengcheng Chen, Dandan Liu

    Diterbitkan 2017-02-01
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  9. 9
    Distinguishing different subclasses of water bodies for long-term and large-scale statistics of lakes: a case study of the Yangtze River basin from 2008 to 2018

    Distinguishing different subclasses of water bodies for long-term and large-scale statistics of lakes: a case study of the Yangtze River basin from 2008 to 2018 oleh Jin Luo, Zeqiang Chen, Nengcheng Chen

    Diterbitkan 2021-02-01
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  10. 10
    NIR-Red Spectra-Based Disaggregation of SMAP Soil Moisture to 250 m Resolution Based on SMAPEx-4/5 in Southeastern Australia

    NIR-Red Spectra-Based Disaggregation of SMAP Soil Moisture to 250 m Resolution Based on SMAPEx-4/5 in Southeastern Australia oleh Nengcheng Chen, Yuqi He, Xiang Zhang

    Diterbitkan 2017-01-01
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  11. 11
    Spatial Pattern and Temporal Variation Law-Based Multi-Sensor Collaboration Method for Improving Regional Soil Moisture Monitoring Capabilities

    Spatial Pattern and Temporal Variation Law-Based Multi-Sensor Collaboration Method for Improving Regional Soil Moisture Monitoring Capabilities oleh Xiang Zhang, Nengcheng Chen, Zhihong Chen

    Diterbitkan 2014-12-01
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  12. 12
    Efficient Streaming Mass Spatio-Temporal Vehicle Data Access in Urban Sensor Networks Based on Apache Storm

    Efficient Streaming Mass Spatio-Temporal Vehicle Data Access in Urban Sensor Networks Based on Apache Storm oleh Lianjie Zhou, Nengcheng Chen, Zeqiang Chen

    Diterbitkan 2017-04-01
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  13. 13
    Correction: Chen, N. et al. NIR-Red Spectra-Based Disaggregation of SMAP Soil Moisture to 250 m Resolution Based on OzNet in Southeastern Australia. Remote Sens. 2017, 9, 51

    Correction: Chen, N. et al. NIR-Red Spectra-Based Disaggregation of SMAP Soil Moisture to 250 m Resolution Based on OzNet in Southeastern Australia. Remote Sens. 2017, 9, 51 oleh Nengcheng Chen, Yuqi He, Xiang Zhang

    Diterbitkan 2017-03-01
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  14. 14
    PDFID: A high-resolution flood inundation dataset with a long time series

    PDFID: A high-resolution flood inundation dataset with a long time series oleh Lai Chen, Zeqiang Chen, Nengcheng Chen

    Diterbitkan 2024-04-01
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  15. 15
    Rice Yield Prediction in Hubei Province Based on Deep Learning and the Effect of Spatial Heterogeneity

    Rice Yield Prediction in Hubei Province Based on Deep Learning and the Effect of Spatial Heterogeneity oleh Shitong Zhou, Lei Xu, Nengcheng Chen

    Diterbitkan 2023-02-01
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  16. 16
    A Genetic Algorithm–Assisted Deep Neural Network Model for Merging Microwave and Infrared Daily Sea Surface Temperature Products

    A Genetic Algorithm–Assisted Deep Neural Network Model for Merging Microwave and Infrared Daily Sea Surface Temperature Products oleh Changjiang Xiao, Changjiang Xiao, Chuli Hu, Chuli Hu, Nengcheng Chen, Nengcheng Chen, Xiang Zhang, Zeqiang Chen, Xiaohua Tong

    Diterbitkan 2021-10-01
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  17. 17
    A Spatio-Temporal Enhanced Metadata Model for Interdisciplinary Instant Point Observations in Smart Cities

    A Spatio-Temporal Enhanced Metadata Model for Interdisciplinary Instant Point Observations in Smart Cities oleh Nengcheng Chen, Yingbing Liu, Jia Li, Zeqiang Chen

    Diterbitkan 2017-02-01
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  18. 18
    An Object Model for Integrating Diverse Remote Sensing Satellite Sensors: A Case Study of Union Operation

    An Object Model for Integrating Diverse Remote Sensing Satellite Sensors: A Case Study of Union Operation oleh Chuli Hu, Jia Li, Nengcheng Chen, Qingfeng Guan

    Diterbitkan 2014-01-01
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  19. 19
    Using Multi-Temporal MODIS NDVI Data to Monitor Tea Status and Forecast Yield: A Case Study at Tanuyen, Laichau, Vietnam

    Using Multi-Temporal MODIS NDVI Data to Monitor Tea Status and Forecast Yield: A Case Study at Tanuyen, Laichau, Vietnam oleh Phamchimai Phan, Nengcheng Chen, Lei Xu, Zeqiang Chen

    Diterbitkan 2020-06-01
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  20. 20
    FLCNDEMF: An Event Metamodel for Flood Process Information Management under the Sensor Web Environment

    FLCNDEMF: An Event Metamodel for Flood Process Information Management under the Sensor Web Environment oleh Nengcheng Chen, Wenying Du, Fan Song, Zeqiang Chen

    Diterbitkan 2015-06-01
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