Abstract
Academic research and literature discussing ethical issues in Earth Observation (EO) or Remote Sensing (RS) research are scant. Yet, ethical concerns, particularly those linked to privacy [1], [2], explainability and bias [3], [4], are growing in relevance as AI and Machine Learning (ML) models are adopted to study and analyze petabytes of EO/RS data (hereinafter referred to as “AI4EO research”). AI/ML models have been used in EO and RS sciences for decades [5]. However, ethical issues take center stage as the resolution of EO/RS data increases rapidly, and as newer sources of data are fused with EO/RS data to achieve better results at lower costs and greater speeds.
| Original language | English |
|---|---|
| Title of host publication | 2021 IEEE International Geoscience and Remote Sensing Symposium IGARSS |
| Number of pages | 4 |
| Publisher | Institute of Electrical and Electronics Engineers Inc. |
| Publication date | 2021 |
| Pages | 1165-1168 |
| ISBN (Electronic) | 9781665403696 |
| DOIs | |
| Publication status | Published - 2021 |
| MoE publication type | A4 Article in conference proceedings |
| Event | 2021 IEEE International Geoscience and Remote Sensing Symposium, IGARSS 2021 - Brussels, Belgium Duration: 12.07.2021 → 16.07.2021 |
Publication series
| Name | Geoscience and Remote Sensing Symposium IGARSS |
|---|---|
| Publisher | IEEE |
| ISSN (Electronic) | 2153-7003 |
Keywords
- 117,1 Geosciences
- earth
- ethics
- data privacy
- analytical models
- costs
- machine learning
- data models