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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
forest cover Earth & Environmental Sciences
synthetic aperture radar Earth & Environmental Sciences
imagery Earth & Environmental Sciences
tropical forest Earth & Environmental Sciences
monitoring Earth & Environmental Sciences
land cover Earth & Environmental Sciences
boreal forest Earth & Environmental Sciences
Landsat Earth & Environmental Sciences

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Research Output 2006 2019

  • 3 Conference article in proceedings
  • 3 Article
  • 1 Other conference contribution

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

Potential of Different Optical and SAR Data in Forest and Land Cover Classification to Support REDD+ MRV

Sirro, L., Häme, T., Rauste, Y., Kilpi, J., Hämäläinen, J., Gunia, K., de Jong, B. & Paz Pellat, F., 1 Jun 2018, In : Remote Sensing. 10, 6, 26 p., 942.

Research output: Contribution to journalArticleResearchpeer-review

Open Access
forest cover
land cover
synthetic aperture radar
Landsat thematic mapper
PALSAR

Tree height estimates in boreal forest using Gaussian process regression

Mutanen, T., Sirro, L. & Rauste, Y., 3 Nov 2016, Geoscience and Remote Sensing Symposium (IGARSS), 2016 IEEE International . Institute of Electrical and Electronic Engineers IEEE, p. 1757-1760

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

boreal forest
coniferous forest
climate modeling
pixel
carbon

Monitoring forest cover in Chiapas, Mexico to support REDD: Results of the ReCover project

Häme, T., Sirro, L., Kilpi, J., Molinier, M., Paz Pellat, F., De Jong, B. & Hämäläinen, J., 2014.

Research output: Contribution to conferenceOther conference contributionResearch

10 Citations

Improved mapping of tropical forests with optical and SAR imagery, Part I: Forest cover and accuracy assessment using multi-resolution data

Häme, T., Kilpi, J., Ahola, H., Rauste, Y., Antropov, O., Rautiainen, M., Sirro, L. & Bounepone, S., 2013, In : IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing. 6, 1, p. 74-91 18 p.

Research output: Contribution to journalArticleResearchpeer-review

AVNIR
accuracy assessment
forest cover
ALOS
tropical forest