Date : 2022-06-14 => 2022-06-16
Lieu : Palermo, Italy
We are in the era of Earth Observation and free geo big data generated periodically with high revisiting time. Just to cite some sources of remote sensing data, the Sentinel missions for Earth observation of the joint ESA/European Commission initiative Copernicus are bringing reliable, up-to-date and free high-and medium resolution images for ecosystem monitoring and managing, for agriculture, forests, land-use and land-cover change, coastal and inland waters monitoring, etc.. The PRISMA pre-operational medium-resolution hyperspectral imaging mission funded by the Italian Space Agency (ASI) provides a global observation capability for specific areas of interest in Europe and in the Mediterranean region. National, regional and local geoportals of public authorities provide upon requests, free LiDAR data. Nevertheless, to extract useful information from remote sensing data, methods capable of fully exploiting these systems and their complementarity are necessary to provide robust and operational semantic information that is easily interpretable by humans to take decisions. To this end, models physically based, data driven approaches laying under the umbrella of Artificial Intelligence methods and their combination constitute a challenge for remote sensing of the future.
The “Remote Sensing Methods and Applications” session of the “Smart Digital Communities” aims to bring together scientists, researchers and research scholars to exchange and share their experiences and research results on methods and techniques for the acquisition, calibration, filtering, fusion, analysis, interpretation and validation of Remote Sensing data (from both active and passive sensors on board of satellites, airbornes, UAVs, and LiDAR, SONAR, etc.) and applications in all areas of Earth Observation. It also provides an interdisciplinary forum for researchers and practitioners to present and discuss recent innovations, challenges, trends, and solutions adopted in the fields of Remote Sensing. Contributions describing original and unpublished results of theoretical approaches, conceptual models, empirical and experimental studies in Remote Sensing are relevant for the session and invited for presentation at the conference.
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