April 8, 2024, 4:42 a.m. | Lynn Miller, Charlotte Pelletier, Geoffrey I. Webb

cs.LG updates on arXiv.org arxiv.org

arXiv:2404.03936v1 Announce Type: cross
Abstract: Earth observation (EO) satellite missions have been providing detailed images about the state of the Earth and its land cover for over 50 years. Long term missions, such as NASA's Landsat, Terra, and Aqua satellites, and more recently, the ESA's Sentinel missions, record images of the entire world every few days. Although single images provide point-in-time data, repeated images of the same area, or satellite image time series (SITS) provide information about the changing state …

abstract analysis aqua arxiv cs.cv cs.lg deep learning earth earth observation eess.iv image images landsat nasa observation review satellite satellites sentinel series state time series type

Data Architect

@ University of Texas at Austin | Austin, TX

Data ETL Engineer

@ University of Texas at Austin | Austin, TX

Lead GNSS Data Scientist

@ Lurra Systems | Melbourne

Senior Machine Learning Engineer (MLOps)

@ Promaton | Remote, Europe

Software Engineer, Data Tools - Full Stack

@ DoorDash | Pune, India

Senior Data Analyst

@ Artsy | New York City