- Remote Sensing in Agriculture
- Remote-Sensing Image Classification
- Remote Sensing and Land Use
- Land Use and Ecosystem Services
- Remote Sensing and LiDAR Applications
- Advanced Image Fusion Techniques
- Urban Heat Island Mitigation
- Air Quality and Health Impacts
- Species Distribution and Climate Change
- Geographic Information Systems Studies
- Soil and Land Suitability Analysis
- Leaf Properties and Growth Measurement
- Coastal wetland ecosystem dynamics
- Air Quality Monitoring and Forecasting
- Spectroscopy and Chemometric Analyses
- Environmental Changes in China
- Social Acceptance of Renewable Energy
- Environmental and Social Impact Assessments
- Disaster Management and Resilience
- Cross-Border Cooperation and Integration
- Forest ecology and management
- Forest Ecology and Biodiversity Studies
- Coastal and Marine Management
- Anesthesia and Sedative Agents
- Housing Market and Economics
Chinese University of Hong Kong
2015-2024
Xiangtan University
2020
Kwong Wah Hospital
2017
Prince of Wales Hospital
2004
University of Waterloo
1986
Remote sensing provides rich sources of data for the monitoring land surface dynamics. However, single-sensor systems are constrained from providing spatially high-resolution images with high revisit frequency due to inherent sensor design limitation. To obtain in both spatial and temporal resolutions, a number image fusion algorithms, such as adaptive reflectance model (STARFM) enhanced STARFM (ESTARFM), have been recently developed. capitalize on information available process, we propose...
Normalized difference vegetation index (NDVI) derived from SPOT HRV multispectral data was used to study the changing environmental quality of Hong Kong 1987, 1991 and 1993 1995. Conventional change detection techniques such as image differencing or principal components analysis helped highlight salient changes. These techniques, however, were less effective in identifying subtle changes, particular amount green space. Integrating mean NDVI values at Tertiary Planning Unit (TPU) level with...
Based on the principles of sustainable development, land use planning often requires compromise between economic development and environmental conservation while advocating social justice. Given that ideas, values, attitudes vary among stakeholders involved, inevitably incurs a variety conflicts. The conflicts in can be described from perspective types stakeholders. Accordingly, conceived as process dealing with different through resolving This study centers around two important issues...
Continuous monitoring of coastal water qualities is critical for resource management and marine ecosystem sustainability. While remote sensing data such as Sentinel-2 satellite imagery routinely provide high-resolution observations time-series analysis, the cloud-based Google Earth Engine (GEE) platform supports simple image retrieval large-scale processing. Using waters Hong Kong study area, this utilized GEE to (i) query pre-process all that coincided with in situ measurements; (ii)...
Background and Study Aims: We previously demonstrated that audio distraction using relaxation music could lead to a decrease in the dose of sedative medication required improve patient satisfaction during colonoscopy. This prospective randomized controlled trial was designed test hypotheses visual may also requirement for sedatives have additive beneficial effects when used combination. Patients Methods: 165 consecutive patients who underwent elective colonoscopy were randomly allocated into...
Hong Kong as an international metropolis is well known for its vibrant urban life, which attracts millions of mass conventional tourists shopping and business. Recently, ecotourism has flourished ecotourists who visit the ecological cultural resources rural landscape, country parks marine parks. Yan Chau Tong, also ‘Double Haven’, remote from centre, helps preserve natural flavour heritages such Hakka walled villages. It noted important site developing ecotourist activities. A symbiosis...
Accurately identified trees can serve as a basis of estimating forest variables through the individual tree-based approach. Increasing richness remote sensing data also provides opportunities to explore potential uses various types sources. This study adopted three widely used data, including airborne light detection and ranging (LiDAR), unmanned aerial vehicle (UAV) photography traditional digital photos (DAP), aimed investigate their potentials on tree heights extracting information in...
Ambient fine particulate matter (PM2.5) has severe adverse health impacts, making it crucial to reduce PM2.5 exposure for public health. Meteorological and emissions factors, which considerably affect the concentrations in atmosphere, vary substantially under different climate change scenarios. In this work, global from 2021 2100 were generated by combining deep learning technique, reanalysis data, emission bias-corrected CMIP6 future scenario data. Based on estimated concentrations,...
Secondary succession is one of the major processes in forest habitat restoration across degraded landscapes globally, especially tropical regions. Hong Kong, situated on northern fringes Asian tropics, has undergone near-complete clearing its original forests due to human activities history, and most current vegetation was formed by regenerations recent decades. Understanding dynamics changes over time involves various biotic, abiotic, anthropogenic factors related different ecological...
We establish an account of electromagnetic scattering by coated spheres with radial dielectric and magnetic anisotropy. Within full-wave theory, we show that the total cross section ${Q}_{s}$ is strongly dependent on both anisotropy As a consequence, suitable adjustment radius ratio, one may make anisotropic particle nearly transparent or invisible. In quasistatic case, take step forward to derive effective permittivity permeability for particle, near-zero ratio can be well described within...
This paper proposes a novel rough set approach to discover classification rules in real‐valued spatial data general and remotely sensed particular. A knowledge induction process is formulated select optimal decision with minimal of features necessary sufficient for remote sensing task. The first converts or integer‐valued system into an interval‐valued information system. procedure then all hidden the Two real‐life applications are made verify substantiate conceptual arguments. It...
Geographically and temporally weighted regression (GTWR) has been demonstrated as an effective tool for exploring spatiotemporal data under spatial temporal heterogeneity. Exploiting the advantages of two most popular GTWR methods, we propose alternative with a good balance between complexity interpretability via unilateral weighting scheme called (UGTWR). When compared to other simulation experiment shows that UGTWR comparable estimation accuracy model fit, but it is more efficient....
Abstract Band selection was performed based on hyperspectral data taken at 400 ‐ 900 nm spectral range for 25 subtropical tree species in Hong Kong. Stepwise discriminant analysis and hierarchical clustering were used to select bands with high discriminatory power. Bands selected from stepwise mainly lied along the green, red near‐infrared bands. Using clustering, addition blue, bands, blue‐green edge, green‐red edge curves found have important information discriminate species. Both...
Mangrove habitat is one of the most highly productive ecosystems. The distribution mangrove species acts as an inventory to formulate conservation management plans. This study explored potential combining hyperspectral (Earth-observing (EO)-1 Hyperion) and multi-temporal synthetic aperture radar (SAR) (Environmental Satellite (Envisat) ASAR) data, supported by in situ field surveys, map species. Hyperspectral imaging captures a number narrow contiguous spectral bands providing richer details...
Mangroves have significant social, economic, environmental, and ecological values but they are under threat due to human activities. An accurate map of mangrove species distribution is required effectively conserve ecosystem. This study evaluates the synergy WorldView-3 (WV-3) spectral bands high return density LiDAR-derived elevation metrics for classifying seven in habitat Mai Po Nature Reserve Hong Kong, China. A recursive feature elimination algorithm was carried out identify important...
Abstract Seventy-percent of the terrestrial area Hong Kong is covered by vegetation and 40% protected as Country Park. The above-ground biomass (AGB) acts reliable source carbon sink while has recognized importance in forest urged for protection latest strategic plan, yet no study been conducted on assessing baseline AGB its storage. This compared estimated traditional allometric modeling Light Detection Ranging (LiDAR) plot metrics at plot-level a subtropical Kong. tested five models which...
Spatiotemporal image fusion (STIF) provides a feasible and effective solution for generating satellite images with high spatial temporal resolution. As deep learning-based algorithms show great potential in high-quality images, we propose novel learning model, namely progressive spatiotemporal network (DPSTFN), which is coupled pansharpening super-resolution processes to satisfy requirements of STIF based on Moderate Resolution Imaging Spectroradiometer (MODIS) Landsat data. First, process...
Abstract This document demonstrates the potential of using an object‐oriented approach to map urban land cover. One objective this work was test ability classification in generation cover maps. Anotehr produce updated for city Beijing from Advanced Spaceborne Thermal Emission and Reflecton Radiometer (ASTER) data, with evaluation its accuracy. Acknowledgments supported by Natural Science Foundation China (No. 40201036), RGC Grant (CUHK 4251/03H) Key Lab 3D Information Acquisition...
Identification and mapping of various habitats with sufficient spatial details are essential to support environmental planning management. Considering the complexity diverse habitat types in a heterogeneous landscape, context-dependent framework is expected be superior traditional classification techniques. With aim produce territory-wide map Hong Kong, three-stage procedure was developed identify 21 by combining very-high-resolution satellite images, geographic information system (GIS)...