Work

Automatic Georeferencing of Nighttime ISS Images for the Generation of Calibrated Maps to Address Light Pollution

Year: 2025

Type: article

Abstract: Innovative pipeline that combines simulated Earth views, AI-based image matching, and geometric projection techniques to assign accurate geographic coordinates to ISS images at nighttime, enabling the creation of calibrated light pollution maps for ecological research and public policy. This poster was presented in the 10th SPLIT REMOTE SENSING® HANDS-ON PROFESSIONAL SUMMER SCHOOL 2025.

Source: Zenodo (CERN European Organization for Nuclear Research)

Authors: Pérez-Parras, Raúl, Sánchez de Miguel, Alejandro, LOPEZ HERRAIZ, JOAQUIN, Pascual, Sergio

Institution: Universidad Complutense de Madrid

Language: English

Topic: Impact of Light on Environment and Health

Subfield: Global and Planetary Change

Field: Environmental Science

Domain: Physical Sciences

Open Access status: green

Funder: European Commission

Award: The Path Towards Addressing Adverse Impacts of Light and Noise Pollution on Terrestrial Biodiversity and Ecosystems

OpenAlex ID: W6968304459

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