Projects per year
Personal profile
Short bio
Research scientist specialising in remote sensing, Earth observation and geoinformatics, with experience in projects related to forest digital twins, New Space and other geospatial applications.
Expertise area
- Earth observation
- Optical remote sensing
- Geospatial data analysis
- Forest reflectance modelling
Research interests
- Earth observation for environmental monitoring
- Machine learning for Earth observation applications
- (Geo)spatial analytics
- Remote sensing of boreal forests
- Radiative transfer modelling of boreal forests
- Biodiversity
- Airborne laser scanning
- Hyperspectral remote sensing
Expertise related to UN Sustainable Development Goals
In 2015, UN member states agreed to 17 global Sustainable Development Goals (SDGs) to end poverty, protect the planet and ensure prosperity for all. This person’s work contributes towards the following SDG(s):
Education/Academic qualification
Education, Master, Master of Science (Technology): Geoinformatics, Aalto University
Award Date: 11 Dec 2018
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Dive into the research topics where Eelis Halme is active. These topic labels come from the works of this person. Together they form a unique fingerprint.
- 1 Similar Profiles
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TerraDT: Digital Twin of Earth system for Cryosphere, Land surface and related interactions
Mõttus, M. (PI), Halme, E. (Participant), Sirro, L. (Participant) & Astola, H. (Participant)
1/01/25 → 31/12/28
Project: EU project
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ARTISDIG: Artificial Intelligence for Twinning the Diversity, Productivity and Spectral Signature of Forests
Mõttus, M. (PI), Astola, H. (Participant), Halme, E. (Participant) & Seitsonen, L. (Participant)
1/01/22 → 31/12/24
Project: Academy of Finland project
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AVARTAVA: Avaruustoiminnan yhteiskunnallinen vaikuttavuus
Häme, T. (Manager), Höyhtyä, M. (Participant) & Halme, E. (Participant)
1/02/21 → 31/12/21
Project: Finnish government project
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Hybrid regression method to predict forest variables from Earth observation data in boreal forests
Halme, E. & Mõttus, M., 9 Feb 2025, In: European Journal of Remote Sensing. 58, 1, 21 p., 2462032.Research output: Contribution to journal › Article › Scientific › peer-review
Open AccessFile6 Downloads (Pure) -
Retrieving boreal forest structure from remote sensing data using reflectance modelling and machine learning
Halme, E., 2025, Aalto University. 157 p.Research output: Thesis › Dissertation › Collection of Articles
Open Access -
Improved parametrisation of a physically-based forest reflectance model for retrieval of boreal forest structural properties
Halme, E. & Mõttus, M., 31 May 2023, In: Silva Fennica. 57, 2, 27 p., 22028.Research output: Contribution to journal › Article › Scientific › peer-review
Open AccessFile3 Citations (Scopus)84 Downloads (Pure) -
Assessing spatial variability and estimating mean crown diameter in boreal forests using variograms and amplitude spectra of very-high-resolution remote sensing data
Halme, E., Ihalainen, O., Korpela, I. & Mõttus, M., 23 Jan 2022, In: International Journal of Remote Sensing. 43, 1, p. 349-369Research output: Contribution to journal › Article › Scientific › peer-review
Open AccessFile3 Citations (Scopus)72 Downloads (Pure) -
Avaruus arjessamme: Avaruustoiminnan yhteiskunnallinen vaikuttavuus (AVARTAVA) loppuraportti
Translated title of the contribution :Socio-economic impact of space activities in Finland (AVARTAVA) Research output: Book/Report › Report
Open Access