Emerging Technologies in Earth Observations for Agricultural Monitoring

Dear Colleagues,

In the last decade Earth Observation systems shown significant advances, allowing an unprecedent improvement of data quality and availability with high spatial, spectral and temporal resolutions from different types of sensors. Among the various application areas, agriculture is one of the socio-economic sectors that has the most to gain from remote sensing data. This is even more notable in a context of population growth combined with climate change impacts, forcing the development of more effective and optimized agricultural practices. For this purpose, the data obtained using remote sensing platforms will play a crucial role. However, the large volume of data generated/obtained poses challenges that can only be solved using Big Data and artificial intelligence approaches. As such, the development of new technologies for data processing and interpretation from remote sensed data can be considered. When combined with application of machine learning and image processing techniques a range of applications can be explored for, which can serve as a source of information to improve the decision support to assess multiple agronomical challenges. This Special Issue aims to promote the publication of case studies proposing the development of new methodologies, algorithms, and applications in remote sensing for agricultural monitoring. Submissions are not limited to a given platform (satellite or airborne) or sensor type, as long as innovative methods, approaches or applications are proposed.

Dr. Luís Pádua
Dr. Joaquim João Sousa
Dr. Salvatore Filippo Di Gennaro
Guest Editors

Manuscript Submission Information

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