IGARSS (the International Geoscience and Remote Sensing Symposium) is the flagship conference of the Geoscience and Remote Sensing Society...
As the partnership with IEEE Geoscience and Remote Sensing Society (GRSS), IEEE Antennas and Propagation Society (AP-S) and IEEE Microwave Theory and Techniques Society (MTT-S) continues this year, Maci and Carvalho expressed in an interview with GRSS their optimism in the outcome of this collaboration.
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.
This postdoctoral research fellowship aims to explore and develop new surrogate models to enhance the efficiency of digital twin simulations.
This post-doctoral study aims to develop new signal and image processing approaches applied to the remote sensing of water surfaces using heterogeneous satellite data.
We are delighted to announce the joint award ceremony of the second edition of EO4SDG Mini-projects, and the Earth at Risk image contest organized by the IEEE Geoscience and Remote Sensing Society. The winners of the two competitions will get the chance to present their proposals and talk about the stories behind their outstanding EO data images followed by a Q&A session.
In this webinar, you will have the opportunity to engage in experiential learning and devise efficacious action-steps to cultivate a grounded presence and boost self-assurance in approaching situations such as meetings with supervisors, interviews, exams, conference meet and greets, short and long-term deliverables, work presentations, and more.
Amid the rising food insecurity and climate challenges, there is a need for some urgent and crucial, coordinated actions. In this session, we will be focusing on these two different sub-saharan countries where we used geospatial data along with our pre-trained models (unsupervised and supervised models) to identify agricultural activity and, type of crops grown and estimate the yields for the crop of interest.
We are looking for a highly motivated candidate to develop modern machine learning methodologies for monitoring tillage and soil disturbances in farmlands.
SSTL, part of the Airbus group, is a UK spin-off company from the University of Surrey, that designs, manufactures and operates small satellites.
The seminar will cover recent advances in free-space laser communications in the atmospheric environment. We are witnessing the coming of age for laser communications.
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