| The potential of Sentinel-2 data for estimating biophysical variables in a boreal forest: A simulation study T Majasalmi, M Rautiainen Remote Sensing Letters 7 (5), 427-436, 2016 | 121 | 2016 |
| Seasonal reflectance dynamics of common understory types in a northern European boreal forest M Rautiainen, M Mõttus, J Heiskanen, A Akujärvi, T Majasalmi, ... Remote Sensing of Environment 115 (12), 3020-3028, 2011 | 110 | 2011 |
| Seasonal variation in MODIS LAI for a boreal forest area in Finland J Heiskanen, M Rautiainen, P Stenberg, M Mõttus, VH Vesanto, ... Remote Sensing of Environment 126, 104-115, 2012 | 103 | 2012 |
| The impact of tree canopy structure on understory variation in a boreal forest T Majasalmi, M Rautiainen Forest ecology and management 466, 118100, 2020 | 89 | 2020 |
| Modeled and measured fPAR in a boreal forest: Validation and application of a new model T Majasalmi, M Rautiainen, P Stenberg Agricultural and Forest Meteorology 189, 118-124, 2014 | 54 | 2014 |
| Optimizing the sampling scheme for LAI-2000 measurements in a boreal forest T Majasalmi, M Rautiainen, P Stenberg, H Rita Agricultural and Forest Meteorology 154, 38-43, 2012 | 52 | 2012 |
| An assessment of ground reference methods for estimating LAI of boreal forests T Majasalmi, M Rautiainen, P Stenberg, P Lukeš Forest Ecology and Management 292, 10-18, 2013 | 49 | 2013 |
| Comparison of ground and satellite-based methods for estimating stand-level fPAR in a boreal forest T Majasalmi, P Stenberg, M Rautiainen Agricultural and Forest Meteorology 232, 422-432, 2017 | 34 | 2017 |
| Validation of MODIS and GEOV1 fPAR products in a boreal forest site in Finland T Majasalmi, M Rautiainen, P Stenberg, T Manninen Remote Sensing 7 (2), 1359-1379, 2015 | 29 | 2015 |
| An enhanced forest classification scheme for modeling vegetation–climate interactions based on national forest inventory data T Majasalmi, S Eisner, R Astrup, J Fridman, RM Bright Biogeosciences 15 (2), 399-412, 2018 | 26 | 2018 |
| Inferring surface albedo prediction error linked to forest structure at high latitudes RM Bright, S Eisner, MT Lund, T Majasalmi, G Myhre, R Astrup Journal of Geophysical Research: Atmospheres 123 (10), 4910-4925, 2018 | 24 | 2018 |
| Representation of tree cover in global land cover products: Finland as a case study area T Majasalmi, M Rautiainen Environmental Monitoring and Assessment 193 (3), 121, 2021 | 14 | 2021 |
| Evaluation of leaf-level optical properties employed in land surface models T Majasalmi, RM Bright Geoscientific Model Development 12 (9), 3923-3938, 2019 | 11 | 2019 |
| Application of 3D triangulations of airborne laser scanning data to estimate boreal forest leaf area index T Majasalmi, L Korhonen, I Korpela, J Vauhkonen International journal of applied earth observation and geoinformation 59, 53-62, 2017 | 10 | 2017 |
| The potential of Sentinel-2 data for estimating biophysical variables in a boreal forest: a simulation study. Remote Sens. Lett. 7, 427–436 T Majasalmi, M Rautiainen | 7 | 2016 |
| Suomen luonnon tila ja tulevaisuus–skenaariotarkastelu luontokadon pysäyttämiseksi vaadittavista toimista J Kangas, T Majasalmi, HMK Juva, JS Kotiaho, LM Ahlvik Suomen Luontopaneeli, 2023 | 6 | 2023 |
| Estimation of leaf area index and the fraction of absorbed photosynthetically active radiation in a boreal forest T Majasalmi Dissertationes Forestales, Helsingin Yliopisto, 2015 | 5 | 2015 |
| A simple grid-based framework for simulating forest structural trajectories linked to transient forest management scenarios in Fennoscandia T Majasalmi, M Allen, C Antón-Fernández, R Astrup, RM Bright Climatic Change 162, 2139-2155, 2020 | 4 | 2020 |
| Narrowband vegetation indices for estimating boreal forest leaf area index E Eigemeier, J Heiskanen, M Rautiainen, V Vesanto, T Majasalmi, ... Remote Sens. Appl, 2012 | 4 | 2012 |
| Remote sensing and spectroscopy of lichens M Rautiainen, N Kuusinen, T Majasalmi Ecology and Evolution 14 (3), e11110, 2024 | 3 | 2024 |
Miina RautiainenAalto UniversityVerified email at aalto.fi
