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    • Augmented Teaching and Learning Advancement System
    • An integrated knowledge-based Remote Sensing and GIS dynamic model for the urban thermal environment
    • A UV-based Remote Sensing Technology For Sulphur Dioxide Detection And Monitoring From Ship Emissions
    • A Practical Application of Integrated Micro-Environmental Monitoring System for Construction Sites
    • Assessing the Impact of Land Use Morphology on Air Pollution and Human Mobility for COVID-19 Incidence
    • Brownfield Classification
    • Coastal Water Quality Monitoring in Hong Kong
    • Characterization of Asian Dust Storms with Geostationary satellites MTSAT
    • Development of AI-based algorithms for classification of tree species and retrieval of tree parameters using handheld laser scanning
    • Development of Hyperspectral Library to Distinguish Urban Tree Species in Hong Kong
    • Environmental adaptability of settlement
    • Estimating Time-series of Anthropogenic Heat Flux at City Scale
    • Establishment of Hong Kong AERONET Station
    • Estimation of solar irradiation on the urban building rooftop in Hong Kong
    • iBeacon Positioning
    • Identification of Rock Outcrops Using Remote Sensing Techniques
    • Impact of The Super Typhoon Manghkut on The Secondary Forest of Hong Kong
    • Jockey Club Smart City Tree Management Project
    • Land Use and Land Cover Mapping of Pearl River Delta region and Hong Kong
    • LiDAR Technique Helps to Acquire Basic Tree Information
    • Machine learning-based estimation of solar potential on three-dimensional urban envelopes
    • MOOC Course: Introduction to Urban Geo-Informatics
    • Modelling Woody Vegetation in Sudano-Sahe-lina Zone of Nigeria Using Remote Sensing
    • Remote Sensing of Forest Succession in Hong Kong's Country Parks
    • Remote Sensing of Secondary Vegetation Succession in Hong Kong's Country Parks
    • Road Defect Detection Using Deep Learning Method
    • Solar Energy Supply in Cloud-prone Areas of Hong Kong
    • Tree Thermal Image
    • 70 Years of Forest Succession in the Degraded Tropical Landscape of Hong Kong
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Jockey Club Smart City Tree Management Project

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  • Jockey Club Smart City Tree Management Project
  • Project Details

    Commenced in February 2018, the 3-year pilot Project is supported by The Hong Kong Jockey Club Charities Trust with a funding of $32.28 million. Aiming at sustaining a longer tree life by enhancing the efficiency of tree management, it is a large-scale pilot project on trees in the urban area that uses a quantifiable method to identify trees with potential needs for follow-up actions. With tailor-made sensors installed on the lower trunk of approximately 400 selected urban trees in two pilot sites with high traffic and pedestrian flow: Kowloon East and Wan Chai, it aims to monitor their tilting angles over time using Smart Sensing Technology (SST). The trees from 9 vulnerable species at risk of tree failure with different tree forms are selected for monitoring, e.g. Bauhinia variegata, Delonix regia, Senna siamea, Aleurites moluccana.

    Taking various environmental factors into consideration, a threshold will be determined by the project team to measure the root-plate movement. If a sensor shows that the tilting angle of a tree exceeds the threshold, the system will notify the project team to conduct a visit, verify the data and calibrate the system. When deemed necessary, the relevant tree management team will be informed to conduct detailed investigations in a timely manner. In the second phase, SST sensors will be installed at over 8,000 trees across the entire city in Hong Kong. The Project will also collect data from the sensors and will develop a system via a GIS-based platform.

    The GIS-based tree monitoring system will provide an additional tool for the tree management team to provide scientific observations on the changing conditions of tree tilts, which will facilitate a massive-scale monitoring of individual trees based on their corresponding geographical locations. The Project mainly divides into three stages:

    Stage 1: Design and testing of sensors & testing of the Internet of Things (IoT) (1st year)
    Stage 2: Installation and monitoring of modified sensors in 8,000 trees, analysis of Big Data, and development of tree monitoring system (1st – 3rd year)
    Stage 3: Community Engagement (2nd – 3rd year) & Review (3rd year)

    Members of the PolyU-led Project team include The University of Hong Kong (HKU), The Hong Kong University of Science and Technology (HKUST), and Friends of the Earth (Hong Kong). The project also receives support from relevant government departments. Selected trees for monitoring are mainly under the purview of:

    • Greening, Landscape and Tree Management Section of Development Bureau;
    • Energizing Kowloon East Office of Development Bureau;
    • Agriculture, Fisheries and Conservation Department;
    • Architectural Services Department;
    • Highways Department; and
    • Leisure and Cultural Services Department.

Jockey Club Smart City Tree Management Project

Commenced in February 2018, the 3-year pilot Project is supported by The Hong Kong Jockey Club Charities Trust with a funding of $32.28 million. Aiming at sustaining a longer tree life by enhancing the efficiency of tree management, it is a large-scale pilot project on trees in the urban area that uses a quantifiable method for identifying trees with potential needs for follow-up actions.


Other Research Projects

  • Augmented Teaching and Learning Advancement System
     
    Machine learning-based estimation of solar potential on three-dimensional urban envelopes
    Identification of Rock Outcrops Using Remote Sensing Techniques
    Remote Sensing of Secondary Vegetation Succession in Hong Kong's Country Parks
  • Estimating Time-series of Anthropogenic Heat Flux at City Scale
    Characterization of Asian Dust Storms with Geostationary Satellites MTSAT
    iBeacon Positioning
     
     
    Land Use and Land Cover Mapping of Pearl River Delta region and Hong Kong
  • MOOC course: Introduction to Urban Geo-Informatics
     
     
    A UV-based Remote Sensing Technology For Sulphur Dioxide Detection And Monitoring From Ship Emissions
    Coastal Water Quality Monitoring in Hong Kong
     
     
    A Practical Application of Integrated Micro-Environmental Monitoring System for Construction Sites
  • 70 Years of Forest Succession in the Degraded Tropical Landscape of Hong Kong
    Impact of The Super Typhoon Manghkut on The Secondary Forest of Hong Kong
    Development of Hyperspectral Library to Distinguish Urban Tree Species in Hong Kong
    Remote Sensing of Forest Succession in Hong Kong's Country Parks
  • Modelling Woody Vegetation in Sudano-Sahe-lina Zone of Nigeria Using Remote Sensing
    LiDAR Technique Helps to Acquire Basic Tree Information
     
    Road Defect Detection Using Deep Learning Method
     
    Tree Thermal Image
     
     
  • Solar Energy Supply in Cloud-prone Areas of Hong Kong
     
     
    Brownfield Classification
     
    Establishment of Hong Kong AERONET Station
     
    Environmental adaptability of settlement
     
  • Assessing the Impact of Land Use Morphology on Air Pollution and Human Mobility for COVID-19 Incidence
     
    Development of AI-based algorithms for classification of tree species and retrieval of tree parameters using handheld laser scanning

     Estimation of solar irradiation on the urban building rooftop in Hong Kong
     
     
    An integrated knowledge-based Remote Sensing and GIS dynamic model for the urban thermal environment
     
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