A5040968468- Cryospheric studies and observations
- Winter Sports Injuries and Performance
- Oceanographic and Atmospheric Processes
- Geophysics and Gravity Measurements
- Species Distribution and Climate Change
- COVID-19 impact on air quality
- Municipal Solid Waste Management
- Air Quality and Health Impacts
- Air Quality Monitoring and Forecasting
- Synthetic Aperture Radar (SAR) Applications and Techniques
- Climate change and permafrost
- Meteorological Phenomena and Simulations
- Land Use and Ecosystem Services
- Aeolian processes and effects
- GNSS positioning and interference
- Atmospheric aerosols and clouds
- Recycled Aggregate Concrete Performance
- Hydrological Forecasting Using AI
- Coastal wetland ecosystem dynamics
- Coastal and Marine Dynamics
- Healthcare and Environmental Waste Management
- Soil Moisture and Remote Sensing
- Climate variability and models
- Urban Agriculture and Sustainability
- Climate change impacts on agriculture
Boise State University
2022-2024
Universiti Teknologi Petronas
2021-2022
(2021). Sea level prediction using ARIMA, SVR and LSTM neural network: assessing the impact of ensemble Ocean-Atmospheric processes on models’ accuracy. Geomatics, Natural Hazards Risk: Vol. 12, No. 1, pp. 653-674.
In sub-Saharan Africa, mass rural-urban migration negatively affectthe agriculture sector that accounts for about 23% of the GDP and employs over 60% population. Together with a rapidly changing climate, unplanned urbanization poses serious threats to Africa's risk chronic food shortages in future. To stem this tide, it is imperative systematically assess trend from socio-economic perspective distill broader implication sustainable urban farming within context climate change region. The...
Airborne lidar is a powerful tool used by water resource managers to map snow depth and aid in producing spatially distributed equivalent (SWE) when combined with modeled density. However, limited research so far has focused on retrieving optical properties from lidar. Optical surface directly impact albedo, which major control snowmelt timing, especially useful for management applications. instruments typically emit energy at wavelength of 1,064 nm, can be informative mapping since grain...
Rising sea level is generally assumed and widely reported to be the significant driver of coastal erosion most low-lying sandy beaches globally. However, there limited data-driven evidence this relationship due challenges in quantifying shoreline dynamics at same temporal scale as sea-level records. Using a Google Earth Engine (GEE)-enabled Python toolkit, study conducted dynamic analysis using high-frequency data sampling analyze impact rise on Malaysian coastline between 1993 2019....
In this study, we conducted a holistic evaluation of current and future trend in coastal sea level at the 21 stations along Malaysia's coastline. For prediction, univariate 3 scenarios multivariate Long Short Term Memory (LSTM) neural networks were trained with absolute data ocean-atmospheric variables. The result from four scenario predictive models revealed that LSTM network combined variables performed best for modelling variation, giving mean RMSE R accuracy 0.060 0.861, respectively....
Abstract Careful selection of landfill sites is essential because improper dumping wastes can negatively impact health and degrade the environment. Therefore, this research presents a Geographic Information System based—Fuzzy Analytic Hierarchy Process multicriteria decision-making approach for zonation in Lagos State, Nigeria. Due to rapid urbanisation leading urban expansion conversion landfills built-up areas functioning have been reduced. After comprehensive literature review, study...
Synthetic aperture radar will be at the forefront of future advancements in global remote sensing snow depth and water equivalent. Recently, retrievals using an empirical volume scattering approach with C-band Sentinel-1 (S1) data have been demonstrated over European Alps Northern Hemisphere, most accurate results obtained regions dry, deep (>1.5 m) snowpacks little vegetation influence. However, these S1-based previously compared only to point-based measurements or modeled products. In...
Abstract There is a pressing need for global monitoring of snow water equivalent (SWE) at high spatiotemporal resolution, and L‐band (1–2 GHz) interferometric synthetic aperture radar (InSAR) holds promise. However, the technique has not seen extensive evaluation in forests. We evaluated this across varying forest canopy conditions using eight InSAR pairs collected Fraser Experimental Forest, Colorado, USA by NASA UAVSAR during 10‐week SnowEx 2021 Campaign. Compared with situ measurements,...