A5086871590- Urban Heat Island Mitigation
- Climate change and permafrost
- Remote Sensing and Land Use
- Remote Sensing in Agriculture
- Climate variability and models
- Atmospheric aerosols and clouds
- Meteorological Phenomena and Simulations
- Diverse Aspects of Tourism Research
- Climate change impacts on agriculture
- Wheat and Barley Genetics and Pathology
- Oceanographic and Atmospheric Processes
- Traffic Prediction and Management Techniques
- Gene expression and cancer classification
- Sport and Mega-Event Impacts
- Advanced Computational Techniques and Applications
- Evolutionary Algorithms and Applications
- Strategic Planning and Analysis
- Religious Tourism and Spaces
- Machine Learning and Data Classification
- Plant Surface Properties and Treatments
- Cultural Heritage Management and Preservation
- Soil Geostatistics and Mapping
- Plant Water Relations and Carbon Dynamics
- Cloud Computing and Resource Management
- Marine and environmental studies
Bar-Ilan University
2007-2023
Abstract Satellite land surface temperature (LST) is vital for climatological and environmental studies. However, LST datasets are not continuous in time space mainly due to cloud cover. Here we combine with Climate Forecast System Version 2 (CFSv2) modeled temperatures derive a gap filled global dataset at spatial resolution of 1 km. Temporal Fourier analysis used the seasonality (climatology) on pixel-by-pixel basis, CFSv2 temperatures. Gaps by adding anomaly LST. The accuracy evaluated...
The Dead Sea is a unique terminal lake located at the lowest place on Earth's surface. It has highest surface temperature, salinity, and density among large water bodies, its level currently dropping rate of ∼1 m/a. Knowledge thermal saline structure based meteorological hydrological measurements from single site time. In this study, we used satellite in situ data to characterize spatial temporal variations sea temperature (SST) explore causes for these variations. Sequences almost...
Climatic conditions during the grain-filling period are a major factor affecting wheat grain yield and quality. Wheat in many semi-arid arid areas faces high-temperature stress this period. Remote sensing can be used to monitor both crops environmental temperature. The objective of study was develop tool optimize field management (cultivar sowing time). Analysis 155 cultivar experiments (from 10 growth seasons) representing different revealed required degree-days for each Israeli spring...
Environmental and economic constraints are forcing farmers to be more precise in the rates timing of nitrogen (N) fertilizer application wheat. In practice, N is frequently applied without knowledge amount needed or likelihood significant protein enhancement. The objective this study was help optimize top dress by adopting use within-field reference strips. We developed an assisting app on Google Earth Engine (GEE) platform map spatial variability four different vegetation indices (VIs) each...
Abstract. Convective storms over East Mediterranean sea and Israel were tracked by METEOSAT Second Generation (MSG). The MSG data was used to retrieve time series of the precipitation formation processes in clouds, temperature onset precipitation, an indication aerosol loading sea. Strong correlation found between depth above cloud base required for initialization effective (indicated radius = 15 µm threshold). It seems from presented here that clouds' response is very short.
Under the COVID-19 (SARS-CoV-2) pandemic in Israel, almost every taken-for-granted feature of day-to-day life was affected. This phenomenon and its derived socioeconomic effects on cultural tourism have been investigated a northern peripheral area, Beit She’an Valley, which includes small urban municipality, town, regional council, Emek HaMaayanot (a rural municipality). The closure heritage sites kind public venue has led to economic consequences such as absence tourists, worker layoffs...
On 15 September 2015, a convective storm yielded heavy rainfalls that caused the strongest flash flood in last 50 years South Negev Desert (Israel). None of operational forecast models predicted event, and thus, no warning was provided. We analyzed this event using satellite, radar, numerical weather prediction model data. generated cloud-free climatological values on pixel basis Temporal Fourier Analysis time series MSG geostationary satellite The discrepancy between measured used to detect...