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Titta Majasalmi
Titta Majasalmi
Postdoctoral researcher, Helsinki University
Verified email at helsinki.fi - Homepage
Title
Cited by
Cited by
Year
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
1052016
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
1042011
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
952012
The impact of tree canopy structure on understory variation in a boreal forest
T Majasalmi, M Rautiainen
Forest ecology and management 466, 118100, 2020
682020
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
492012
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
482014
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
462013
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
302017
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
282015
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
202018
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
202018
Evaluation of leaf-level optical properties employed in land surface models
T Majasalmi, RM Bright
Geoscientific Model Development 12 (9), 3923-3938, 2019
112019
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
102021
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
102017
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
72016
Estimation of leaf area index and the fraction of absorbed photosynthetically active radiation in a boreal forest
T Majasalmi
Dissertationes Forestales, Helsingin Yliopisto, 2015
52015
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
42020
Narrowband vegetation indices for estimating boreal forest leaf area index
E Eigemeier, J Heiskanen, M Rautiainen, V Vesanto, T Majasalmi, ...
Remote Sens. Appl, 2012
42012
Corrigendum to``Modeled and measured fPAR in a boreal forest: Validation and application of a new model''[Agric. For. Meteorol. 189-190 (2014) 118-124]
T Majasalmi, M Rautiainen, P Stenberg
Agricultural and Forest Meteorology 204, 46-47, 2015
32015
Potential of using surface temperature data to benchmark Sentinel-2-based forest phenometrics in boreal Finland
T Majasalmi, M Rautiainen
Annals of Forest Science 79 (1), 6, 2022
22022
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