Announcements

The XIX Brazilian Symposium on Remote Sensing (XIX SBSR) is the main scientific meeting in Latin America dedicated to the dissemination of remote sensing science and geotechnologies, organized biannually since 1978. The SBSR has been continuously improving to deliver the best scientific services to researchers, companies, and the education community in Brazil by incorporating the highest scientific standards. Today, the SBSR is perceived as a reference event to a wide spectrum of professionals from different areas, including biome monitoring, natural resources, agriculture, ocean, inland waters, and climate change, with a strong positive impact on the general well-being of our society. The SBSR are committed to stimulating the exchange of experiences among participants, disseminating the state-of-the-art of remote sensing applications, and enhancing the cooperation among institutions from Brazil and abroad.

The Brazilian Symposium on Remote Sensing has a target audience composed of Brazilian and international researchers, students, lecturers, and professionals from the public and private sectors, from a large array of interests including mineral resources, agriculture, hydrology and water resources, environment, government authorities, and a wide range of decision makers in Brazil.

A Special Issue linked with the conference is now open for submission in Remote Sensing. Despite the focus on the XIX SBSR, submissions are not limited to papers presented at the symposium. We seek original and innovative contributions that involve (but are not restricted to) sensor applications, sensing systems and principles, remote sensors, machine learning and modelling approaches, multispectral imaging, hyperspectral imaging, signal processing, data fusion and deep learning, and integrated sensor or internet-of-things technologies, among others. Papers that tackle complex Earth Observation issues by integrating traditional areas of application (e.g., agriculture, geology, oceanography) are also encouraged.

You are invited to submit your paper through the following link:
https://www.mdpi.com/journal/sensors/special_issues/RS_AMALR