| Estimating fractional cover of tundra vegetation at multiple scales using unmanned aerial systems and optical satellite data H Riihimäki, M Luoto, J Heiskanen Remote Sensing of Environment 224, 119-132, 2019 | 148 | 2019 |
| Modelling soil moisture in a high‐latitude landscape using LiDAR and soil data J Kemppinen, P Niittynen, H Riihimäki, M Luoto Earth Surface Processes and Landforms 43 (5), 1019-1031, 2018 | 83 | 2018 |
| Revealing topoclimatic heterogeneity using meteorological station data J Aalto, H Riihimäki, E Meineri, K Hylander, M Luoto International Journal of Climatology 37, 544-556, 2017 | 75 | 2017 |
| The effect of topography on arctic-alpine aboveground biomass and NDVI patterns H Riihimäki, J Heiskanen, M Luoto International Journal of Applied Earth Observation and Geoinformation 56, 44-53, 2017 | 70 | 2017 |
| Topographic wetness index as a proxy for soil moisture: The importance of flow‐routing algorithm and grid resolution H Riihimäki, J Kemppinen, M Kopecký, M Luoto Water Resources Research 57 (10), e2021WR029871, 2021 | 56 | 2021 |
| Dwarf shrubs impact tundra soils: drier, colder, and less organic carbon J Kemppinen, P Niittynen, AM Virkkala, K Happonen, H Riihimäki, J Aalto, ... Ecosystems 24 (6), 1378-1392, 2021 | 37 | 2021 |
| Implications of boreal forest stand characteristics for X-band SAR flood mapping accuracy J Cohen, H Riihimäki, J Pulliainen, J Lemmetyinen, J Heilimo Remote Sensing of Environment 186, 47-63, 2016 | 36 | 2016 |
| Predictability of boreal forest soil bearing capacity by machine learning J Pohjankukka, H Riihimäki, P Nevalainen, T Pahikkala, J Ala-Ilomäki, ... Journal of Terramechanics 68, 1-8, 2016 | 33 | 2016 |
| Virtual forests: a review on emerging questions in the use and application of 3D data in forestry A Murtiyoso, S Holm, H Riihimäki, A Krucher, H Griess, VC Griess, ... International Journal of Forest Engineering 35 (1), 29-42, 2024 | 19 | 2024 |
| Cryogenic land surface processes shape vegetation biomass patterns in northern European tundra J Aalto, P Niittynen, H Riihimäki, M Luoto Communications Earth & Environment 2 (1), 222, 2021 | 10 | 2021 |
| New computational methods for efficient utilisation of public data J Ala-Ilomäki, J Cohen, J Heilimo, E Hyvönen, P Hänninen, J Ikonen, ... Geol. Surv. Finl. Rep. Investig 217, 1-55, 2015 | 5 | 2015 |
| Woody plants constructing tundra soils J Kemppinen, P Niittynen, AM Virkkala, K Happonen, H Riihimäki, J Aalto, ... bioRxiv, 789743, 2019 | 2 | 2019 |
| Assessing the use of individual tree level terrestrial laser scanning data for tree microhabitat predictions E Becker, E Maeda, H Riihimäki Helsingin yliopisto, 2024 | | 2024 |
| Remote sensing spatial patterns of soil moisture and vegetation in Fennoscandian high latitudes H Riihimäki Helsingin yliopisto, 2024 | | 2024 |
| Landscape scale mapping of tundra vegetation structure at ultra-high resolution using UAVs and computer vision AM Määttänen, M Luoto, H Riihimäki Helsingin yliopisto, 2020 | | 2020 |
| The influence of woody plants on tundra soils J Kemppinen, PO Niittynen, AM Virkkala, K Happonen, H Riihimäki, ... Ecosystems, 2020 | | 2020 |
| AGU Fall Meeting 14.-18.12. 2015, San Francisco: Kokousraportti maailman suurimmasta geotieteellisestä konferenssista PIA Niinikoski, AP Heinonen, HK Riihimäki Geologi 2016 (1), 14-19, 2016 | | 2016 |
| Non-Parametric Responses of Aboveground Biomass and NDVI to Land Surface Parameters in Arctic-Alpine Environments HK Riihimäki, J Heiskanen, M Luoto AGU Fall Meeting Abstracts 2015, B51G-0511, 2015 | | 2015 |
| Arktis-alpiinisen fytomassan mallintaminen paikkatieto-ja kaukokartoitusaineistojen avulla H Riihimäki Helsingfors universitet, 2013 | | 2013 |
| GEOTIETEIDEN JA MAANTIETEEN LAITOS PL 64 (Gustaf Hällströmin katu 2) 00014 Helsingin yliopisto H Riihimäki, M Luoto | | |
