Agrometeorology is the study of using weather and climate information to enhance crops and to increase crop productions. It mainly relates to the interactions between living organisms and the meteorological conditions they reside in. Agrometeorology deals with a complex system consisting of the atmosphere, soil, plant, and agricultural management, and these factors are interacting dynamically on various temporal and spatial scales. As earth observation agrometeorology methods which mainly include meteorological observations, field crop observations, and remote sensing observations, are valid ways of spatially and temporally monitoring vegetation, biomass, and crops yields in fields or at satellites, one of these methods or integration of them appears as inevitable tools to help to achieve these goals.
This Research Topic aims at highlighting recent progress in earth observation applications in agrometeorology and agroclimatology. We encourage the contributions describing innovative remote sensing-based approaches, agrometeorology data processing techniques, and modeling tools to improve understanding of remote sensing technologies on Agrometeorology and Agroclimatology. In addition, we encourage approaches on field data collected to confirm and improve the existing models.
We invite researchers to contribute Original Research articles as well as Review articles.
Potential topics include but are not limited to the following:
• Remote sensing for agriculture water resources;
• Remote sensing for atmospheric conditions (temperature, humidity, precipitation) for crop growth;
• Remote sensing for crops photosynthesis activity;
• Remote sensing for monitoring the agriculture disaster—droughts and floods;
• Remote sensing for intelligent agriculture decision;
• Remote-sensing processing techniques in phenotyping;
• Remote sensing in crop yield prediction;
• Remote sensing time series data and methods;
• Data assimilation in crop modeling;
• Integration of satellite, aerial/drone, and in situ observation;
• Climate change vs. agriculture: impact, mitigation, and adaptation.
Agrometeorology is the study of using weather and climate information to enhance crops and to increase crop productions. It mainly relates to the interactions between living organisms and the meteorological conditions they reside in. Agrometeorology deals with a complex system consisting of the atmosphere, soil, plant, and agricultural management, and these factors are interacting dynamically on various temporal and spatial scales. As earth observation agrometeorology methods which mainly include meteorological observations, field crop observations, and remote sensing observations, are valid ways of spatially and temporally monitoring vegetation, biomass, and crops yields in fields or at satellites, one of these methods or integration of them appears as inevitable tools to help to achieve these goals.
This Research Topic aims at highlighting recent progress in earth observation applications in agrometeorology and agroclimatology. We encourage the contributions describing innovative remote sensing-based approaches, agrometeorology data processing techniques, and modeling tools to improve understanding of remote sensing technologies on Agrometeorology and Agroclimatology. In addition, we encourage approaches on field data collected to confirm and improve the existing models.
We invite researchers to contribute Original Research articles as well as Review articles.
Potential topics include but are not limited to the following:
• Remote sensing for agriculture water resources;
• Remote sensing for atmospheric conditions (temperature, humidity, precipitation) for crop growth;
• Remote sensing for crops photosynthesis activity;
• Remote sensing for monitoring the agriculture disaster—droughts and floods;
• Remote sensing for intelligent agriculture decision;
• Remote-sensing processing techniques in phenotyping;
• Remote sensing in crop yield prediction;
• Remote sensing time series data and methods;
• Data assimilation in crop modeling;
• Integration of satellite, aerial/drone, and in situ observation;
• Climate change vs. agriculture: impact, mitigation, and adaptation.
