A5028933556- Plant Water Relations and Carbon Dynamics
- Hydrology and Watershed Management Studies
- Hydrological Forecasting Using AI
- Climate variability and models
- Meteorological Phenomena and Simulations
- Flood Risk Assessment and Management
- Solar Radiation and Photovoltaics
- Landslides and related hazards
- Water resources management and optimization
- Asphalt Pavement Performance Evaluation
- Infrastructure Maintenance and Monitoring
- Urban Heat Island Mitigation
- Life Cycle Costing Analysis
- Energy Load and Power Forecasting
- Soil Geostatistics and Mapping
- Public Policy and Administration Research
- Urban Stormwater Management Solutions
- Groundwater flow and contamination studies
- Cognitive Science and Mapping
- Soil Moisture and Remote Sensing
- Stroke Rehabilitation and Recovery
- Irrigation Practices and Water Management
- Mineral Processing and Grinding
- Synthetic Aperture Radar (SAR) Applications and Techniques
- Advanced Technologies in Various Fields
University of California, Davis
2020-2025
University of California, Berkeley
2024
Zimmer Biomet (United States)
2024
University of Tehran
2019
Multispectral imaging using Unmanned Aerial Vehicles (UAVs) has changed the pace of precision agriculture. Actual evapotranspiration (ETa) from very high spatial resolution UAV images over agricultural fields can help farmers increase their production at lowest possible cost. ETa estimation UAVs requires a full package sensors capturing visible/infrared and thermal portions spectrum. Therefore, this study focused on multi-sensor data fusion approach for (MSDF-ET) independent sensors. The...
Irrigation is the most significant consumer of freshwater worldwide. Deciding on right amount irrigation crucial for sustainable water management and food production. The Penman-Monteith (P-M) reference crop evapotranspiration (ETO) gold standard in scheduling; however, its calculation requires measurements from multiple sensors over an extended grass surface. cost land, sensors, maintenance, to keep surface green impedes having a dense network ETO stations. To solve this challenge, research...
Reference evapotranspiration (ETo) is an essential variable in agricultural water resources management and irrigation scheduling. An accurate reliable forecast of ETo facilitates effective decision-making agriculture. Although numerous studies assessed various methodologies for forecasting, in-depth multi-dimensional analysis evaluating different aspects these missing. This study systematically evaluates the complexity, computational cost, data efficiency, accuracy ten models that have been...
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Abstract Global evaporation modeling faces challenges in understanding the combined biophysical controls imposed by aerodynamic and canopy-surface conductance, particularly water-scarce environments. We addressed this integrating a machine learning (ML) model estimating surface relative humidity (RH 0 ) into an analytical (Surface Temperature Initiated Closure - STIC), creating hybrid called HSTIC. This approach significantly enhanced accuracy of water stress conductance regulation. Our...
Abstract Terrestrial evapotranspiration is the second‐largest component of land water cycle, linking water, energy, and carbon cycles influencing productivity health ecosystems. The dynamics ET across a spectrum spatiotemporal scales their controls remain an active focus research different science disciplines. Here, we provide overview current state in situ measurements, partitioning ET, remote sensing, discuss how approaches complement one another based on advantages shortcomings. We aim to...
Abstract Hydrological models are simplified imitations of natural and man-made water systems, because this simplification, always deal with inherent uncertainty. To develop more rigorous modeling procedures to provide reliable results, it is inevitable consider estimate Although there different approaches in the literature assess parametric uncertainty hydrological models, their structures results have rarely been compared systematically. In research, two analyze uncertainty, namely direct...
Irrigated agriculture is the largest consumer of freshwater globally. Despite clarity influential factors and deriving forces, estimation volumetric irrigation demand using biophysical models prohibitively difficult. Data-driven have proven their ability to predict geophysical hydrological phenomena with only a handful input variables; however, lack reliable data in most agricultural regions world hinders effectiveness these approaches. Attempting estimate water demand, we first analyze...
Wetlands are significant contributors to global methane (CH4) emissions, a critical driver of climate change. However, the spatial heterogeneity CH4 fluxes and underlying mechanisms within these wetland ecosystems remains largely unexplored. This study examines emissions from different types wetlands in Estonia California, USA. The studied include free surface water treatment wetlands, recently restored peatlands three California that differ each other salinity level, tidal influence,...
Global evaporation modeling faces challenges in understanding the combined biophysical controls imposed by aerodynamic and canopy-surface conductance, particularly water-scarce environments. We addressed this integrating a machine learning (ML) model estimating surface relative humidity (RH0) into an analytical (Surface Temperature Initiated Closure - STIC), creating hybrid called HSTIC. This approach significantly enhanced accuracy of water stress conductance regulation. Our results, based...
Abstract. Disability has been one of the most important problems social communities throughout ages. As population and urbanization have grown dramatically over recent years, this problem more created gap between people with disabilities ordinary in terms access to resources, services partnerships. Therefore, study attempts demonstrate ratio presence wheelchair users a community compared total same evaluate their patterns different conditions, for example, various weather conditions. For...