Research Output per year
Fingerprint Dive into the research topics where Laura Sirro is active. These topic labels come from the works of this person. Together they form a unique fingerprint.
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synthetic aperture radar
Earth & Environmental Sciences
forest cover
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
Network
Recent external collaboration on country level. Dive into details by clicking on the dots.
Research Output 2002 2019
3
Citations
(Scopus)
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 journal › Article › Scientific › peer-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 journal › Article › Scientific › peer-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. 1757-1760Research output: Chapter in Book/Report/Conference proceeding › Conference article in proceedings › Scientific › peer-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 conference › Other conference contribution › Scientific
Change detection from satellite data time series using pixel value distributions
Saarela, O., Molinier, M. & Sirro, L., 2013, Proceedings of ESA Living Planet Symposium. European Space Agency ESAResearch output: Chapter in Book/Report/Conference proceeding › Conference article in proceedings › Scientific › peer-review
satellite data
pixel
time series
forest cover
Landsat