Paper information

Paper code

IAC-21,B1,4,4,x64496

Date

2021-10-28

Time

10:05

Order

4

Room

Abu Dhabi A

Title

Machine Learning in Earth Observation Operations: A review

abstract

View PDF

Session

4. Earth Observation Data Management Systems

symposium

B1. IAF EARTH OBSERVATION SYMPOSIUM

congress

IAC-21

Type of presentation

oral

Main author

Mr. Pablo Miralles, GTD, France

Co-authors

Ms. Nitya Jagadam, Space Generation Advisory Council (SGAC), India;

Ms. Prerna Baranwal, Birla Institute of Technology and Science(BITS), India;

Mr. Bhavin Faldu, Space Generation Advisory Council (SGAC), India;

Mr. Daniel Wischert, Space Generation Advisory Council (SGAC), Germany;

Ms. Daria Stepanova, German Orbital Systems GmbH, Germany;

Ms. Ruchita Abhang, University of Pune, India;

Mr. Sahil Bhatia, University of Petroleum and Energy Studies, India;

Mr. Sebastien Bonnart, Space Generation Advisory Council (SGAC), United States;

Ms. Ishita Bhatnagar, Birla Institute of Technology and Science(BITS), India;

Ms. Beenish Batul, University of Management and Technology (UMT), Pakistan;

Ms. Pallavi Prasad, Space Generation Advisory Council (SGAC), Ireland;

Mr. Héctor Ortega-González, Space Generation Advisory Council (SGAC), Spain;

Mr. Harrish Joseph, Italy;

Mr. Harshal More, Sapienza University of Rome, Italy;

Ms. Sondes Morchedi, Space Generation Advisory Council (SGAC), Italy;

Mr. Aman Kumar Panda, University of Petroleum and Energy Studies, India;

Dr. Antonio Scannapieco, Space Generation Advisory Council (SGAC), Austria;

Mr. Marco Zaccaria Di Fraia, Cranfield University, UK, United Kingdom;