Special Issue "Remote Sensing for Agrometeorology"
Deadline for manuscript submissions: closed (30 June 2022) | Viewed by 29532
Interests: agrometeorological and hydrological modeling; stochastic and systems hydrology; environmental remote sensing; environmental hazards risk management and climate variability/change: impacts-mitigation-adaptation
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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
Manuscript Submission Information
Manuscripts should be submitted online at www.mdpi.com by registering and logging in to this website. Once you are registered, click here to go to the submission form. Manuscripts can be submitted until the deadline. All submissions that pass pre-check are peer-reviewed. Accepted papers will be published continuously in the journal (as soon as accepted) and will be listed together on the special issue website. Research articles, review articles as well as short communications are invited. For planned papers, a title and short abstract (about 100 words) can be sent to the Editorial Office for announcement on this website.
Submitted manuscripts should not have been published previously, nor be under consideration for publication elsewhere (except conference proceedings papers). All manuscripts are thoroughly refereed through a single-blind peer-review process. A guide for authors and other relevant information for submission of manuscripts is available on the Instructions for Authors page. Remote Sensing is an international peer-reviewed open access semimonthly journal published by MDPI.
Please visit the Instructions for Authors page before submitting a manuscript. The Article Processing Charge (APC) for publication in this open access journal is 2700 CHF (Swiss Francs). Submitted papers should be well formatted and use good English. Authors may use MDPI's English editing service prior to publication or during author revisions.
- 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.