A5081854629- Remote Sensing in Agriculture
- Plant Water Relations and Carbon Dynamics
- Remote Sensing and LiDAR Applications
- Forest ecology and management
- Atmospheric and Environmental Gas Dynamics
- Satellite Image Processing and Photogrammetry
- Climate variability and models
- Leaf Properties and Growth Measurement
- Horticultural and Viticultural Research
- Remote Sensing and Land Use
- Fire effects on ecosystems
- Land Use and Ecosystem Services
- Soil Moisture and Remote Sensing
- Essential Oils and Antimicrobial Activity
- Soil and Unsaturated Flow
- Geophysical Methods and Applications
- Calibration and Measurement Techniques
- Soil erosion and sediment transport
- Tree-ring climate responses
- Forest Biomass Utilization and Management
- Soil and Environmental Studies
- Forest Insect Ecology and Management
- Synthetic Aperture Radar (SAR) Applications and Techniques
- Aeolian processes and effects
- Hydrology and Watershed Management Studies
National Library of Israel
2013-2018
Jewish National Fund
2015-2017
Ben-Gurion University of the Negev
2003-2013
Agricultural Research Organization
2009-2013
University of Toronto
2010-2012
Achieving high quality wine grapes depends on the ability to maintain mild moderate levels of water stress in crop during growing season. This study investigates use thermal imaging for monitoring stress. Experiments were conducted a wine-grape (Vitis vinifera cv. Merlot) vineyard northern Israel. Irrigation treatments included mild, moderate, and severe Thermal visible (RGB) images taken four days at midday with FLIR system digital camera, respectively, both mounted truck-crane 15 m above...
Our current understanding of terrestrial carbon processes is represented in various models used to integrate and scale measurements CO 2 exchange from remote sensing other spatiotemporal data. Yet assessments are rarely conducted determine how well simulate across vegetation types environmental conditions. Using standardized data the North American Carbon Program we compare observed simulated monthly 44 eddy covariance flux towers America 22 biosphere models. The analysis period spans ∼220...
Despite the wide acceptance of “big‐leaf” upscaling strategy in evapotranspiration modeling (e.g., Penman‐Monteith model), its usefulness simulating canopy photosynthesis may be limited by underlying assumption homogeneous response carbon assimilation light‐response kinetics through canopy. While previous studies have shown that separation into sunlit and shaded parts (i.e., two‐leaf model) is typically more effective than big‐leaf models for from leaf to canopy, a systematic comparison...
Abstract. Plant phenological development is orchestrated through subtle changes in photoperiod, temperature, soil moisture and nutrient availability. Presently, the exact timing of plant stages their response to climate management practices are crudely represented land surface models. As visual observations phenology laborious, there a need supplement long-term with automated techniques such as those provided by digital repeat photography at high temporal spatial resolution. We present first...
The launch of the Moderate Resolution Imaging Spectroradiometer (MODIS) onboard Terra and Aqua satellites improved ability to evaluate several surface biophysical parameters, including Leaf Area Index (LAI), which is provided as an operational MODIS product, available at 1-km spatial resolution 8-day intervals. However, for heterogeneous sparse planted forests that are common semi-arid eastern Mediterranean region, data low may be significantly biased by contribution different background...
Abstract. Plant phenological development is orchestrated through subtle changes in photoperiod, temperature, soil moisture and nutrient availability. Presently, the exact timing of plant stages their response to climate management practices are crudely represented land surface models. As visual observations phenology laborious, there a need supplement long-term with automated techniques such as those provided by digital repeat photography at high temporal spatial resolution. We present first...
Remote-sensing tools and satellite data are often used to map monitor changes in vegetation cover forests other perennial woody vegetation. Large-scale mapping from remote sensing is usually based on the classification of its spectral properties by means Vegetation Indices (VIs) a set rules that define connection between them cover. However, observations show that, across gradient precipitation, similar values VI can be found for different levels as result concurrent leaf density (Leaf Area...
The current mountain pine beetle (Dendroctonus ponderosae Hopkins) outbreak, which began in 1999, continues to be the leading cause of tree mortality British Columbia. Information regarding location and spatial extent attack is required for mitigating practices forest inventory updates. This information available from spaceborne observations. Unfortunately, monitoring outbreak using remote sensing usually limited visible stage at expansion beyond its initial hosts unpreventable. disruption...
Abstract Climate change can impose large offsets between the seasonal cycle of photosynthesis and that in solar radiation temperature which drive it. Ecophysiological adjustments to such forests growing under hot dry conditions are critical for maintaining carbon uptake survival. Here, we investigate underlie unusually short intense early spring productive season, suboptimal a semi-arid pine forest. We used eddy covariance flux, meteorological, close-range sensing measurements, together with...
Assessing the development of wildfire scars during a period consecutive active fires and smoke overcast is challenge. The study was conducted nine months when Israel experienced massive pyro-terrorism attacks more than 1100 from Gaza Strip. current project strives at developing using an advanced Earth observation approach for accurate post-fire spatial temporal assessment shortly after event ends while eliminating influence biomass burning on ground signal. For fulfilling this goal,...
Forest parameters, such as mean diameter at breast height (DBH), stand (H) or volume per hectare (V), are imperative for forest resources assessment. Traditional inventory that is usually based on fieldwork often difficult, time-consuming, and expensive to conduct over large areas. Therefore, estimating parameters in areas using a traditional approach combined with satellite data analysis can improve the spatial estimates of data, hence be useful sustainable management natural However,...
This study presents an approach for low-cost mapping of tree heights at the landscape level. The proposed method integrates parameters related to (slope, orientation, and topographic height), size (crown diameter), competition factor age), determines mean stand height as a function competitive capability. model was calibrated validated against standard inventory dataset collected over dryland planted forest in eastern Mediterranean region. validation shows high significant level correlation...