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FREE SEMINAR – Remote Sensing With Satellite Multi-Spectral Sensors, drone RGB and Near Infrared cameras and Aircraft And Drone LiDAR Sensors (RSFS01)
13th July 2022 @ 4:00 pm - 4:30 pmFree
Wednesday, July 20th, 2022
This is a free ~30 minute seminar including a Q and A session at the end for our up-coming courses, Remote Sensing with satellite multi-spectral sensors (RSMS01), Remote Sensing with drone RGB and Near Infrared cameras (RSWD01) and Remote Sensing with aircraft and drone LiDAR sensors (RSLD01).
16:00 – 16:30 GMT
Course Instructor Nelson Pires
About these courses
Satellite Remote Sensing has become a common tool to investigate the different fields of Earth and environmental sciences. The progress of the performance capabilities of the optoelectronic and radar devices mounted on-board remote sensing platforms have further improved the capability of instruments to acquire information about the Earth and its resources for global, regional and local assessments. Disciplines such as agriculture, hydrology, and ecosystem studies have all developed a strong Remote Sensing component, facilitating our understanding of the environment and its processes over a broad range of spatial and temporal scales.This 4-day course aims to provide participants with an integrated end-to-end perspective going from measurement techniques to end-user applications, covering issues related to Remote Sensing, Earth System Modelling and Data Assimilation as well as hands-on computing exercises on the processing of Earth Observation data.
Unmanned Airborne Vehicles (UAVs) equipped with consumer-grade imaging/ranging and direct geo-referencing systems have been proven as a potential Remote Sensing platform that could satisfy the needs of a wide range of civilian applications. The continuous developments in direct georeferencing and Remote Sensing (i.e., passive and active imaging sensors in the visible and infrared range – RGB cameras and LiDAR) is providing the professional geospatial community with ever-growing opportunities to provide accurate 3D information used in environmental research to collect information about the Earth, such as vegetation and tree species. This 4-day course aims to provide participants with an integrated end-to-end perspective going from measurement techniques to end-user applications, covering issues related to LiDAR sensors coupled on aircraft and UAVs, computing exercises on the processing of 3D point clouds to produce geospatial products.