Abstract
In recent decades, the Earth Observation (EO) wave interaction modelling domain has witnessed a proliferation of both forward and inverse models. These models are developed by the scientific community to understand the relationship between electromagnetic waves and natural surfaces, and to support methodologies for extracting bio-geophysical variables from remotely sensed data. However, the current landscape exposes certain limitations such as the absence of systematic implementation, validation on limited datasets, and a scarce integration with emerging Artificial Intelligence (AI)-based inversion techniques. This manuscript introduces the Wave Interaction Models Exploitation Framework (WIMEX), developed to address these challenges in the frame of an ESA-funded project. Leveraging EO data available today, and exploiting Graphical Processing Unit and parallel computing, the framework proposes a systematic approach to create, validate, and disseminate forward and inverse models. WIMEX aims to offer a flexible development environment supporting the evolving needs of the scientific community.
| Original language | English |
|---|---|
| Title of host publication | IGARSS 2024 - 2024 IEEE International Geoscience and Remote Sensing Symposium, Proceedings |
| Publisher | Institute of Electrical and Electronics Engineers Inc. |
| Pages | 7171-7174 |
| Number of pages | 4 |
| ISBN (Electronic) | 9798350360325 |
| DOIs | |
| Publication status | Published - 2024 |
| Externally published | Yes |
| Event | 2024 IEEE International Geoscience and Remote Sensing Symposium, IGARSS 2024 - Athens, Greece Duration: 7 Jul 2024 → 12 Jul 2024 |
Publication series
| Series | International Geoscience and Remote Sensing Symposium (IGARSS) |
|---|
Conference
| Conference | 2024 IEEE International Geoscience and Remote Sensing Symposium, IGARSS 2024 |
|---|---|
| Country/Territory | Greece |
| City | Athens |
| Period | 2024-07-07 → 2024-07-12 |
Bibliographical note
Publisher Copyright:© 2024 IEEE.
Keywords
- bio-geophysical variables
- Earth Observation
- electromagnetic modeling
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