Leevi Lind

Doctoral Researcher
Unit
Faculty of Information Technology
Room number
Email
leevi.j.j.lind@jyu.fi
Mobile
+358504643042
Postal address
Mattilanniemi 2
Fields of science
114 Physical sciences
113 Computer and information sciences
115 Astronomy, Space science

Biography

Doctoral researcher in the Spectral Imaging Laboratory. M.Sc. in Physics focusing mostly in Photonics, B.Sc. in Physics Education.

Research interests

My research involves developing new methods for processing spectral images of asteroids taken by robotic spacecraft that visit these minor planets. I am mostly considering data from the ASPECT imaging module of the Milani CubeSat, set to arrive to the asteroid Didymos in 2026 with the ESA Hera mission.

Publications

Publication
2025

Journal of the Royal Society Interface
Riihiaho, Kimmo A.
Lind, Leevi
Calderini, Marco L.
Halonen, Vilho
Pölönen, Ilkka
Salmi, Pauliina
Publication
2024

IEEE International Geoscience and Remote Sensing Symposium
Lind, Leevi
Cerra, Daniele
Pato, Miguel
Pölönen, Ilkka
Publication
2023

Planetary and space science
Lind, Leevi
Penttilä, Antti
Riihiaho, Kimmo A.
MacLennan, Eric
Pölönen, Ilkka
Publication
2023

Journal of Applied Remote Sensing
Riihiaho, Kimmo A.
Lind, Leevi
Pölönen, Ilkka
Publication
2022

Sensors
Rahkonen, Samuli
Lind, Leevi
Raita-Hakola, Anna-Maria
Kiiskinen, Sampsa
Pölönen, Ilkka
Publication
2021

SPIE Remote Sensing
Lind, Leevi
Laamanen, Hannu
Pölönen, Ilkka
Publication
2021

SPIE Remote Sensing
Wolfmayr, Monika
Pölönen, Ilkka
Lind, Leevi
Kašpárek, Tomáš
Penttilä, Antti
Kohout, Tomáš

Research groups

Research group

Computational Data Science

Discover the future with the Computational Data Science Research Group: Harnessing the power of machine learning and advanced analytics to turn complex data into innovative solutions in spectral imaging, health science, and beyond.

Projects

Project

Smart-HSI: Smart hyperspectral imaging solutions for new era in Earth and planetary observations

The Smart-HSI project develops hyperspectral instruments and data processing methods for Earth observation and planetary science missions that employ CubeSats.