A5024332433- Plant Water Relations and Carbon Dynamics
- Solar Radiation and Photovoltaics
- Remote Sensing in Agriculture
- Coastal wetland ecosystem dynamics
- Hydrology and Watershed Management Studies
- Flood Risk Assessment and Management
- Oil Palm Production and Sustainability
- Coral and Marine Ecosystems Studies
- Urban Heat Island Mitigation
- Child Nutrition and Water Access
- Aeolian processes and effects
- Agricultural risk and resilience
- Remote-Sensing Image Classification
- Conservation, Biodiversity, and Resource Management
- Spectroscopy and Chemometric Analyses
- Water resources management and optimization
- Climate variability and models
- Agricultural and Environmental Management
- Food Security and Health in Diverse Populations
- Fire effects on ecosystems
- Cryospheric studies and observations
- Coastal and Marine Management
- Soil erosion and sediment transport
American University of Beirut
2021-2024
Accurate crop mapping for agricultural monitoring requires the use of robust image classification algorithms. Cultivation illegal cannabis is common in Bekaa plain, Lebanon, as some other areas world (Morocco, Afghanistan). Identification cultivation sites money and time consuming since it highly relies on knowledge field surveys. Machine-learning-based provides an alternative method detection. This paper presents a comparative analysis four machine-learning classifiers implemented Google...
With the foreseen increase in population and reliance on water as a key input for agricultural production, greater demand will be placed freshwater supplies. The objective of this work was to present newly developed Android smartphone application calculate crop evapotranspiration real-time support field-scale irrigation management. As part answer shortage, we embraced technology by developing AgSAT, Google Earth Engine-based that optimizes use food production. AgSAT uses meteorological data...
Abstract Runoff modelling is a crucial element in hydrologic sciences. However, global runoff database not currently available at resolution higher than 0.1°. We use the recently developed Global Curve Number dataset (GCN250) to develop dynamic application (2015 – present) and that can be accessed via Google Earth Engine application. also provide mean monthly for April 2015-2021 GeoTIFF format 250-meter resolution. utilize soil moisture GPM rainfall dynamically retrieve appropriate curve...
Abstract Recent literature shows increasing interest in analyzing causes of what was referred to as “unusual” fires Iraq and Syria 2019. Here, we examine the uncontrolled irregular within farmlands parts two countries 2019–2020 quantify their extent spatiotemporally using a combination medium coarse-resolution satellite imagery, land cover, precipitation, temperature data, multiple sources armed violence data. Our analysis reveals deliberate arson farmland Northeast 2019–2020. In comparison,...
Abstract Quantifying Evapotranspiration (ET), a major component of the hydrologic cycle, is critical for monitoring agricultural water use at field scale and enabling better management. Despite importance global field-scale ET product, there limited information available on inter- intra-annual variability in recent years. Here, we generate monthly 100-m resolution dataset from 1990 to 2021, using validated single-source energy balance algorithm more than four million thermal Landsat...