A5031904609- Urban Heat Island Mitigation
- Land Use and Ecosystem Services
- Urban Green Space and Health
- Synthetic Aperture Radar (SAR) Applications and Techniques
- Remote Sensing and Land Use
- Satellite Image Processing and Photogrammetry
- Urban Stormwater Management Solutions
- Water Quality and Pollution Assessment
- Disaster Management and Resilience
- Toxic Organic Pollutants Impact
- Child Nutrition and Water Access
- Building Energy and Comfort Optimization
- Geological and Geophysical Studies
- Geophysics and Gravity Measurements
- Plant Water Relations and Carbon Dynamics
- Climate variability and models
- Flood Risk Assessment and Management
- Heavy metals in environment
- Geochemistry and Geologic Mapping
- Meteorological Phenomena and Simulations
- Disaster Response and Management
- Remote Sensing and LiDAR Applications
- Remote Sensing in Agriculture
- Energy and Environment Impacts
- 3D Modeling in Geospatial Applications
RMIT University
2019-2024
MIT University
2024
Queensland University of Technology
2014-2018
The University of Queensland
2018
Islamic Azad University of Arsanjan
2012
University of Technology Malaysia
2011
The surface urban heat island (SUHI), which represents the difference of land temperature (LST) in relativity to neighboring non-urban surfaces, is usually measured using satellite LST data. Over last few decades, advancements remote sensing along with spatial science have considerably increased number and quality SUHI studies that form major body (UHI) literature. This paper provides a systematic review satellite-based studies, from their origin 1972 present. We find an exponentially...
While it is well recognised that increasing vegetation cover reduces the Urban Heat Island (UHI) effect in cities, less understood about spatial pattern of type required to maximise cooling benefits. This study examines how different urban configuration and composition impact on UHI phenomenon. We investigated this a set sites Metropolitan Melbourne, Australia. raster data at 20 cm resolution was used define five height-based types (grass, shrub, small, medium large trees); calculate eight...
Numerous studies have identified associations between the surface urban heat island (SUHI) effect (i.e., SUHI, hereinafter is referred to as UHI) and growth, particularly changes in land cover patterns. This research questions their causal links answer a key policy question: If cities restrict expansion encourage people live within existing areas, will that help controlling UHI? The question has been answered by estimating four models using data from Brisbane, Australia: Model...
Coastal areas are expected to be at a higher risk of flooding when climate change-induced sea-level rise (SLR) is combined with episodic rises in sea level. Flood susceptibility mapping (FSM), mostly based on statistical and machine learning methods, has been widely employed mitigate flood risk; however, they neglect exposure vulnerability assessment as the key components risk. often conducted by quantitative methods (e.g., probabilistic). Such uses analytical empirical techniques construct...
Collecting and managing individual tree data is a critical activity for green sustainability strategies. Local governments are able to easily collect detailed public inventories, however on trees located private land much more challenging costly collect. This means that new regulations limit the removal of go untested prior their implementation, or fail pass regulatory review processes. Without knowledge location range different sizes, Government Authorities (LGAs) unable predict where...
This paper presents the outcomes from a joint research project that aims to develop smartphone application/online platform model most thermally comfortable active transport route planned destination using heat information and tree shading (Shadeway). Here, we provide summary of our systematic review academic literature applications Google Play Apple App Store, identify current knowledge about personal adaptation strategies when navigating travel in cities during high temperatures. The...
Urban areas are growing unsustainably around the world; however, growth patterns and their associated drivers vary between contexts. As a result, research has highlighted need to adopt case study based approaches stimulate development of new theoretic understandings. Using land-cover data sets derived from Landsat images (30 m × 30 m), this identifies both urban in period (1991-2001) when number policy acts were enacted aimed at fostering smart Brisbane, Australia. A linear multiple...