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Fingerprint Fingerprint is based on mining the text of the person's scientific documents to create an index of weighted terms, which defines the key subjects of each individual researcher.

  • 8 Similar Profiles
boreal forest Earth & Environmental Sciences
storm damage Earth & Environmental Sciences
imagery Earth & Environmental Sciences
stem Earth & Environmental Sciences
Landsat Earth & Environmental Sciences
clearcutting Earth & Environmental Sciences
forest inventory Earth & Environmental Sciences
autumn Earth & Environmental Sciences

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Research Output 1987 2019

  • 9 Conference article in proceedings
  • 2 Article

Comparison of Sentinel-2 and Landsat 8 imagery for forest variable prediction in boreal region

Astola, H., Häme, T., Sirro, L., Molinier, M. & Kilpi, J., 15 Mar 2019, In : Remote Sensing of Environment. 223, p. 257-273 17 p.

Research output: Contribution to journalArticleResearchpeer-review

Open Access
Landsat
imagery
prediction
Mean square error
stem

Deepcloud - A Fully Convolutionnal Neural Network for Cloud and Shadow Masking in Optical Satellite Images

Molinier, M., Reunanen, N., Lämsä, A., Astola, H. & Räty, T., 5 Nov 2018, 2018 IEEE International Geoscience and Remote Sensing Symposium, IGARSS 2018 - Proceedings. Institute of Electrical and Electronic Engineers IEEE, p. 2107-2110 4 p. 8517484

Research output: Chapter in Book/Report/Conference proceedingConference article in proceedingsResearchpeer-review

detection method
automation
Landsat
learning
satellite image

Timely And Semi-Automatic Detection of Forest Logging Events in Boreal Forest Using All Available Landsat Data

Molinier, M., Astola, H., Räty, T. & Woodcock, C. E., 5 Nov 2018, 2018 IEEE International Geoscience and Remote Sensing Symposium, IGARSS 2018 - Proceedings. Institute of Electrical and Electronic Engineers IEEE, p. 1730-1733 4 p. 8518112

Research output: Chapter in Book/Report/Conference proceedingConference article in proceedingsResearchpeer-review

storm damage
clearcutting
boreal forest
Landsat
time series analysis
1 Citation (Scopus)

Forest stem volume and storm damage mapping in Finland and Russia

Astola, H., Molinier, M., Simons, M. & Susila, P., 1 Jan 2014, Proceedings of 2014 IEEE Geoscience and Remote Sensing Symposium (IGARSS). Institute of Electrical and Electronic Engineers IEEE, p. 2309-2312 4 p. 6946932

Research output: Chapter in Book/Report/Conference proceedingConference article in proceedingsResearchpeer-review

storm damage
stem
Thunderstorms
power line
Railroads
34 Citations (Scopus)

Land cover and soil type mapping from spaceborne PolSAR data at L-band with probabilistic neural network

Antropov, O., Rauste, Y., Astola, H., Praks, J., Häme, T. & Hallikainen, M., 2014, In : IEEE Transactions on Geoscience and Remote Sensing. 52, 9, p. 5256-5270 15 p.

Research output: Contribution to journalArticleResearchpeer-review

soil type
land cover
synthetic aperture radar
Neural networks
Soils