- Plant Water Relations and Carbon Dynamics
- Remote Sensing in Agriculture
- Remote Sensing and LiDAR Applications
- Urban Heat Island Mitigation
- Hydrology and Watershed Management Studies
- Cardiac Structural Anomalies and Repair
- Mechanical Circulatory Support Devices
- Transboundary Water Resource Management
- Geology and Paleoclimatology Research
- Climate variability and models
- Ecology and Vegetation Dynamics Studies
- Health and Conflict Studies
- Rangeland Management and Livestock Ecology
- Soil erosion and sediment transport
- Land Use and Ecosystem Services
- Remote Sensing and Land Use
- Climate change and permafrost
- Smart Agriculture and AI
- Horticultural and Viticultural Research
- Advancements in PLL and VCO Technologies
- Fire effects on ecosystems
- Geological formations and processes
- Cardiac Arrest and Resuscitation
- Climate change impacts on agriculture
- Karst Systems and Hydrogeology
Kaiser Permanente
2025
Hebrew University of Jerusalem
1997-2024
Johns Hopkins University
2019-2020
Smith Institute
2020
Bar-Ilan University
2014-2019
Agricultural Research Organization
2018-2019
University of Cambridge
2017
Columbia University
2000-2003
Harvard University
2003
Metabolism and Renal Physiology
2002
Environmental monitoring plays a central role in diagnosing climate and management impacts on natural agricultural systems; enhancing the understanding of hydrological processes; optimizing allocation distribution water resources; assessing, forecasting, even preventing disasters. Nowadays, most data collection systems are based upon combination ground-based measurements, manned airborne sensors, satellite observations. These utilized describing both small- large-scale processes, but have...
Environmental monitoring plays a central role in diagnosing climate and management impacts on natural agricultural systems, enhancing the understanding hydrological processes, optimizing allocation distribution of water resources, assessing, forecasting even preventing disasters. Nowadays, most data collection systems are based upon combination ground-based measurements, manned airborne sensors or satellite observations. These utilized describing both small large scale but have...
Spectral-based vegetation indices (VI) have been shown to be good proxies of grapevine stem water potential (Ψstem), assisting in irrigation decision-making for commercial vineyards. However, VI-Ψstem correlations are mostly reported at the leaf or canopy scales, using proximal canopy-based sensors very-high-spatial resolution images derived from mounted on small airplanes drones. Here, first time, we take advantage high-spatial (3-m) near-daily acquired Planet’s nano-satellite constellation...
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...
Abstract Future atmospheric carbon-dioxide concentration ([CO 2 ]) rise is expected to increase the grain yield of C3 crops like wheat even higher under drought. This expectation based on small-scale experiments and model simulations such observations. However, this combined effect has never been confirmed through actual observations at nationwide or regional scale. We present first evidence that warming drought in world’s leading wheat-producing countries offset benefits increasing [CO ]...
Abstract Understanding the risk of armed conflict is essential for promoting peace. Although relationship between climate variability and has been studied by research community decades with quantitative qualitative methods at different spatial temporal scales, causal linkages a global scale remain poorly understood. Here we adopt modelling framework based on machine learning to infer potential from high-frequency time-series data simulate worldwide 2000–2015. Our results reveal that...
A high-speed hybrid clock recovery circuit composed of an analog phase-locked loop (PLL) and a digital PLL (DPLL) for disk drive applications is described. The chip operates at maximum data rate 33 MHz from single 5-V power supply achieves fast acquisition, decode window 95% full width, effective sampling jitter 100-ps rms, input 1 GHz. ring oscillator in the shows 62 p.p.m./ degrees C temperature coefficient (TC) 4.5%/V sensitivity free-running frequency. total dissipation about 600 mW,...
More frequent and intense droughts are projected during the next century, potentially changing hydrological balances in many forested catchments. Although impacts of on forest functionality have been vastly studied, little attention has given to studying effect hydrology. Here, we use Budyko framework two recently introduced metrics (deviation elasticity) study changes water yields (rainfall minus evapotranspiration) catchments following a climatic drought (2006-2010) pine forests...
We present an efficient method for monitoring woody (i.e., evergreen) and herbaceous ephemeral) vegetation in Mediterranean forests at a sub pixel scale from Normalized Difference Vegetation Index (NDVI) time series derived the Moderate Resolution Imaging Spectroradiometer (MODIS). The is based on distinct development periods of those components. In dry season, absent or completely forests. Thus mean NDVI season was attributed to (NDVIW). A constant value assumed soil background during this...
Abstract Afforestation to control soil erosion has been implemented throughout China over the past few decades. The long‐term hydrological effects, such as total water yield and baseflow, of this large‐scale anthropogenic activity remain unclear. Using six decades hydrologic observations remote sensing data, we explore responses forest expansion in four basins with contrasting climates across China. No significant change runoff was found for period 1970–2012 cold dry Hailar River Basin...
Background. Heparin resistance is an important clinical problem traditionally treated with additional heparin or fresh frozen plasma. We undertook a randomized trial to determine if treatment antithrombin (AT) concentrate effective for treating this condition.Methods. Patients requiring cardiopulmonary bypass who were considered be resistant (activated clotting time < 480 seconds after > 450 IU/kg heparin) receive either 1000 U AT heparin.Results. was in 42 of 44 patients (96%) immediately...
Abstract We investigated the use of a satellite‐derived vegetation index to detect changes in biomass productivity different land management regimes drylands Northern Negev. Two well‐documented regimes, conservation and afforestation using contour trenching technique were monitored. Biomass data on annual collected from field survey compared time series Normalized Difference Vegetation Index ( NDVI ). A significant relationship between r = 0.83, P < 0.01) confirmed applicability satellite...
Objective: With increasing numbers of implantations, left ventricular assist device programs can put a financial strain on hospital unless an efficient and safe outpatient program is developed. However, the not widely recognized in medical community as being reliable enough to support patient at home. We reviewed our experience with these patients home assess safety benefits such program. Methods: Our institutional 6-year 90 consecutive recipients wearable was analyzed. Results: Forty-four...
The wildland-urban interface (WUI)—the area where wildland vegetation and urban buildings intermix—is at a greater risk of fire occurrence because extensive human activity in that area. Although satellite remote sensing has become major tool for assessing damage wildlands, it is unsuitable WUI monitoring due to the low spatial resolution images from satellites provide frequent information which relevant timely WUI. Here, we take advantage (i.e., ca. daily), high-spatial-resolution (3 m)...