Abstract
Remote sensing is a powerful tool used in biometeorology to study the interactions between the atmosphere and living organisms, particularly plants. Through satellite-based sensors, researchers can observe and analyze a range of biophysical parameters related to vegetation, such as leaf area index, biomass, vegetation cover, and land surface temperature. This data can be used to estimate plant growth, productivity, and water use efficiency, as well as monitor environmental conditions, such as drought, heat stress, and air pollution. Remote sensing is used in the development of crop models for agricultural management and to study the impact of climate change on plant communities and ecosystems. By tracking changes in vegetation cover and productivity, as well as changes in phenology, remote sensing helps researchers identify optimal planting times, irrigation schedules, and predict crop yields.
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