Past Webinars

26 Jun 2024
To advance collective progress on remote sensing of surface composition, the IEEE GRSS GSIS TC is starting a working group to improve algorithms that characterize geology and geochemistry, that detail associated physical and chemical processes, and that link geology to biological function. A focus will be on expanding the number of well-validated case study areas to evaluate and compare existing and new sensors and algorithms.
14 May 2024
An increasing number of high-impact disasters are being reported from High Mountain Asia, some of which have been studied with astonishing detail relying on remote sensing data. Regional capacities to respond to these evolving hazard chains, both in academic as well as governmental environments are however less well known and sometimes available capacities remain untapped. We will look at some of these capacities and associated challenges through the prism of recent events and explore potential ways ahead for international capacities to contribute to further improve our responses.
23 Apr 2024
This presentation introduced the foundation models (FM) being built and trained by NASA IMPACT and IBM for multi-disciplinary scientific applications, showcasing how the FMs are pre-trained neural networks that capture diverse visual features from large datasets, enabling versatile applications in computer vision tasks without extensive retraining, and their development benefits from interdisciplinary collaboration and open science principles. Speakers: Sujit Roy, Johannes Schmude
10 Apr 2024
How do Earth’s changing surface and overlying vegetation inform us about natural disasters, carbon fluxes, ecosystem habitats, sea level rise impacts, and water availability? NASA’s Surface Topography and Vegetation (STV) Study aims to address this and other discipline specific questions.
25 Mar 2024
Combining multiple satellite remote sensing sources can provide a far richer, more frequent view of the earth than that of any single source; the challenge is in distilling this large volume of heterogeneous sensor imagery into meaningful characterizations of the imaged areas. This talk will present recent research in this area, discuss what worked and what didn’t work, and highlight opportunities for future research directions by the community.