GI4.6 | From Satellite-Based to UAS-Based Approaches: Geoscience Research Platforms for the 21st Century
From Satellite-Based to UAS-Based Approaches: Geoscience Research Platforms for the 21st Century
Co-organized by BG9
Convener: Vincenzo De Novellis | Co-conveners: Francesco Zucca, Filippo Accomando, Mel Rodgers

Remote sensing has played a vital role in analyzing and mitigating the impacts of climate change and human activities on ecosystems. For the past three decades, satellite remote sensing has been a key tool for monitoring large areas at low cost with regular revisits. However, as the frequency of natural hazards increases, new technologies in remote and proximal sensing have emerged, aimed at improving data collection flexibility and resolution. One such technology is uncrewed aerial systems (UASs), equipped with various sensors (optical, microwave, thermal, etc.), bridging the gap between spaceborne and ground-based sensing. UASs offer ultra-high-resolution data and flexibility in flight scheduling, making them indispensable for natural and human-induced environmental risk prevention and decision-making.
UASs are particularly effective in mapping environmental changes caused by climate change, including erosion, slope instability, and riverbank degradation due to tectonic or human activities. They also support precision agriculture, monitoring crop impacts from extreme weather events, and enabling sustainable farming practices. The flexibility of UAS technology allows high-resolution data acquisition before and after events, facilitating risk detection and tailored recovery efforts.
This session will highlight the synergies between sensing technologies in the geoscience community, focusing on how these collaborations address the United Nations' Sustainable Development Goals (SDGs). Presentations are encouraged on topics such as the integration of satellite and UAS data, UAS applications in agriculture, and advancements in UAS configurations. Additionally, the session will discuss trends in UAS sensor technology and best practices for UAS operations in volcanic regions, offering a platform for showcasing the latest research and innovations in remote sensing.

Remote sensing has played a vital role in analyzing and mitigating the impacts of climate change and human activities on ecosystems. For the past three decades, satellite remote sensing has been a key tool for monitoring large areas at low cost with regular revisits. However, as the frequency of natural hazards increases, new technologies in remote and proximal sensing have emerged, aimed at improving data collection flexibility and resolution. One such technology is uncrewed aerial systems (UASs), equipped with various sensors (optical, microwave, thermal, etc.), bridging the gap between spaceborne and ground-based sensing. UASs offer ultra-high-resolution data and flexibility in flight scheduling, making them indispensable for natural and human-induced environmental risk prevention and decision-making.
UASs are particularly effective in mapping environmental changes caused by climate change, including erosion, slope instability, and riverbank degradation due to tectonic or human activities. They also support precision agriculture, monitoring crop impacts from extreme weather events, and enabling sustainable farming practices. The flexibility of UAS technology allows high-resolution data acquisition before and after events, facilitating risk detection and tailored recovery efforts.
This session will highlight the synergies between sensing technologies in the geoscience community, focusing on how these collaborations address the United Nations' Sustainable Development Goals (SDGs). Presentations are encouraged on topics such as the integration of satellite and UAS data, UAS applications in agriculture, and advancements in UAS configurations. Additionally, the session will discuss trends in UAS sensor technology and best practices for UAS operations in volcanic regions, offering a platform for showcasing the latest research and innovations in remote sensing.