Remote Sensing for Agrometeorology
This special issue belongs to the section "Biogeosciences Remote Sensing".
Special Issue Information
Dear Colleagues,
It is well known that agrometeorology is a multi-disciplinary scientific field, which is currently receiving significant attention mainly due to climate change, among other reasons. Agrometeorology deals with meteorological, hydrological, edaphological, and biological factors and parameters, which affect agricultural production, and examines the inter-relationship between agriculture, forestry, and the environment. Agrometeorology is a horizontal science, which applies atmospheric and soil physics to agriculture and combines physical and biological sciences constituting a significant link between them. Similarly, at present, remote sensing is a very fast evolving scientific and technological field with steadily increasing reliability and more new systems every year with continuously improving temporal and spatial resolution.
The aim of this Special Issue is to foster advances in remote sensing science and technology for a range of practical applications and research investigations in agrometeorology. I would like to encourage both theoretical and applied research contributions, furthering knowledge on the use of this remote sensing science and technology in all disciplines of contemporary agrometeorology. Such contributions can be focused on various aspects, including, but not limited to, active and passive remote sensing data and methods (e.g., satellites, weather radar, SAR, UAV, sensors), applications in environmental hazards affecting agriculture, agrometeorological simulation and modeling, decision support systems in agrometeorology, climate change: impact-mitigation-adaptation, precision agriculture, agroclimatic classification, software tool development for data collection and processing, as well as their applications.
Prof. Nicolas R. Dalezios
Guest Editor
Manuscript Submission Information
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Keywords
- Remote sensing for agrometeorological simulation and modeling.
- Remote sensing for monitoring and forecasting of agricultural production.
- Remote sensing for agrohydrological simulation and modeling.
- Weather radar applications in agrometeorology, agrohydrology, and agriculture.
- Weather modification (hail suppression, precipitation enhancement) for agriculture.
- Remote sensing for hydrometeorological hazards in agriculture (floods and excess rain, hail, storms, droughts, desertification).
- Remote sensing for biophysical hazards in agriculture (frost, heatwaves, wildfires, biohazards).
- Remote sensing for micrometeorology (e.g., canopy radiation transfer, turbulence near the ground, evapotranspiration, energy balance, fluxes of trace gases).
- Remote sensing for biometeorology (e.g., the effect of weather and climate on plant distribution, crop yield, water-use efficiency, and plant phenology).
- Remote sensing for agrometeorological plant protection.
- Remote sensing for aerobiology (e.g., pollen dispersion, spores, insects, pesticides).
- Remote sensing for climate change and agriculture: impact-mitigation-adaptation.
- Remote sensing for agroclimatic and hydroclimatic classification of plant cultivation zones.
- Renewable energy aspects referring to meteorological and remote sensing analysis.
- Remote sensing for precision agriculture.
- Remote sensing for decision support systems (DSS) in agrometeorology.
- Remotely sensed management of agrometeorological information.
- Sensoring systems (active-passive sensors, e.g., satellites, weather radar, SAR, UAV).
- Software tool development for data collection and processing in agrometeorology.
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Published Papers
Remote Sens. - ISSN 2072-4292