A5023622036- Remote Sensing in Agriculture
- Urban Heat Island Mitigation
- Remote Sensing and LiDAR Applications
- Land Use and Ecosystem Services
- Advanced Image Fusion Techniques
- 3D Surveying and Cultural Heritage
- Plant Water Relations and Carbon Dynamics
- Satellite Image Processing and Photogrammetry
- Atmospheric aerosols and clouds
- Impact of Light on Environment and Health
- Calibration and Measurement Techniques
- Leaf Properties and Growth Measurement
- Advanced Optical Sensing Technologies
- Wind and Air Flow Studies
- Remote-Sensing Image Classification
- Atmospheric and Environmental Gas Dynamics
- Synthetic Aperture Radar (SAR) Applications and Techniques
- Remote Sensing and Land Use
- Building Energy and Comfort Optimization
- Species Distribution and Climate Change
- Forest ecology and management
- Urban Green Space and Health
- Advanced SAR Imaging Techniques
- Radiative Heat Transfer Studies
- Cryospheric studies and observations
Hong Kong Polytechnic University
2016-2024
Goddard Space Flight Center
2012-2024
China Academy of Space Technology
2024
Earth System Science Interdisciplinary Center
2019-2023
University of Maryland, College Park
2019-2023
Magellium (France)
2020
Centre d'Études Spatiales de la Biosphère
2012-2018
Université Toulouse III - Paul Sabatier
2015-2018
Singapore-MIT Alliance for Research and Technology
2016-2018
Université de Toulouse
2013-2018
Satellite and airborne optical sensors are increasingly used by scientists, policy makers, managers for studying managing forests, agriculture crops, urban areas. Their data acquired with given instrumental specifications (spectral resolution, viewing direction, sensor field-of-view, etc.) a specific experimental configuration (surface atmosphere conditions, sun commonly translated into qualitative quantitative Earth surface parameters. However, properties 3D architecture often confound...
To better understand the life-essential cycles and processes of our planet to further develop remote sensing (RS) technology, there is an increasing need for models that simulate radiative budget (RB) RS acquisitions urban natural landscapes using physical approaches considering three-dimensional (3-D) architecture Earth surfaces. Discrete anisotropic transfer (DART) one most comprehensive physically based 3-D Earth-atmosphere transfer, covering spectral domain from ultraviolet thermal...
Abstract We applied Weather Research and Forecasting (WRF) model's Multilayer Urban Canopy Model (MLUCM) to simulate the urban climate of Singapore during a hot period in April 2016. The high‐resolution local zone (LCZ) map was used as land use/land cover data order study intraurban variability different LCZ classes. for developed by adopting World Database Access Portal Tools (WUDAPT) methodology based on satellite remote sensing imageries building height data. coupled WRF/MLUCM model...
Saturation effects limit the application of vegetation indices (VIs) in dense areas. The possibility to mitigate them by adopting a negative soil adjustment factor X is addressed. Two leaf area index (LAI) data sets are analyzed using Google Earth Engine (GEE) for validation. first one derived from observations MODerate resolution Imaging Spectroradiometer (MODIS) 16 April 2013, 21 October 2020, Apiacás area. Its corresponding VIs calculated combination Sentinel-2 and Landsat-8 surface...
Radiative transfer models (RTMs) of vegetation canopies can be applied for the retrieval numerical values properties from satellite data. For such retrieval, it is necessary first to apply atmospheric correction translate top-of-atmosphere (TOA) data into top-of-canopy (TOC) values. This typically assumes a Lambertian surface reflection, which introduces errors if real non-Lambertian. Furthermore, requires characterization as input, not always available. In this study, we present an RTM...
Increased urbanization and climate change have resulted in the intensification of urban heat island (UHI) effect, particularly tropical cities. One main causes UHI is man-made surfaces influencing radiation budget by absorbing, reflecting, emitting at various wavelengths. The radiative a city directly influenced geometry, surface materials, direct solar incident angle, atmospheric diffuse radiation. Vegetation cover, contrast, can decrease intercepting through process photosynthesis. Better...
Topographic effects on canopy reflectance play a pivotal role in the retrieval of surface biophysical variables over rugged terrain. In this paper, we proposed new anisotropic model for discrete forests, Geometric Optical and Mutual Shadowing Scattering-from-Arbitrarily-Inclined-Leaves coupled with Topography (GOSAILT), which considers slope, aspect, geotropic nature tree growth, multiple scattering, diffuse skylight. GOSAILT-simulated areal proportions four scene components (i.e., sunlit...
Recent studies have demonstrated the potential of using bidirectional reflectance distribution function (BRDF) signatures captured by multi-angle observation data to enhance land cover classification and retrieve vegetation architectures. Considering diversity crop architectures, we proposed that mapping precision may be enhanced BRDF signatures. We compared accuracy four supervised machine learning classifiers provided Google Earth Engine (GEE), namely random forest (RF), regression trees...