The Rasmus

The Rasmus in 2009. From left to right: Rantasalmi, Ylönen, Hakala and Heinonen The Rasmus is a Finnish rock band that formed in 1994 in Helsinki while the band members were in upper comprehensive school. The original band members were Lauri Ylönen (founder, frontman, lead singer-songwriter), Eero Heinonen (bass), Pauli Rantasalmi (guitar) and Jarno Lahti (drums). Jarno Lahti left the year after and was replaced by Janne Heiskanen in 1995. Heiskanen quit the band in 1999 and was soon replaced by Aki Hakala. Pauli Rantasalmi left the band and was replaced by guitarist Emilia "Emppu" Suhonen in 2022. Best known for their 2003 hit single "In the Shadows", the band has sold over 5 million albums worldwide and 350,000 albums in Finland alone, and has won numerous awards, both domestic and international. The band represented Finland in the Eurovision Song Contest 2022 with the song "Jezebel". Provided by Wikipedia
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  1. 1
    Impact of Preprocessing on Tree Canopy Cover Modelling: Does Gap-Filling of Landsat Time Series Improve Modelling Accuracy?

    Impact of Preprocessing on Tree Canopy Cover Modelling: Does Gap-Filling of Landsat Time Series Improve Modelling Accuracy? by Zhipeng Tang, Zhipeng Tang, Hari Adhikari, Petri K. E. Pellikka, Petri K. E. Pellikka, Janne Heiskanen, Janne Heiskanen

    Published 2022-07-01
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  2. 2
    Recruiting Conventional Tree Architecture Models into State-of-the-Art LiDAR Mapping for Investigating Tree Growth Habits in Structure

    Recruiting Conventional Tree Architecture Models into State-of-the-Art LiDAR Mapping for Investigating Tree Growth Habits in Structure by Yi Lin, Miao Jiang, Petri Pellikka, Janne Heiskanen

    Published 2018-02-01
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  3. 3
    Assessing Leaf Biomass of <i>Agave sisalana</i> Using Sentinel-2 Vegetation Indices

    Assessing Leaf Biomass of <i>Agave sisalana</i> Using Sentinel-2 Vegetation Indices by Ilja Vuorinne, Janne Heiskanen, Petri K. E. Pellikka

    Published 2021-01-01
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  4. 4
    Sensitivity of Spectral Indices on Burned Area Detection using Landsat Time Series in Savannas of Southern Burkina Faso

    Sensitivity of Spectral Indices on Burned Area Detection using Landsat Time Series in Savannas of Southern Burkina Faso by Jinxiu Liu, Eduardo Eiji Maeda, Du Wang, Janne Heiskanen

    Published 2021-06-01
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  5. 5
    Spectral Temporal Information for Missing Data Reconstruction (STIMDR) of Landsat Reflectance Time Series

    Spectral Temporal Information for Missing Data Reconstruction (STIMDR) of Landsat Reflectance Time Series by Zhipeng Tang, Giuseppe Amatulli, Petri K. E. Pellikka, Janne Heiskanen

    Published 2021-12-01
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  6. 6
    Unsupervised hyperspectral noise estimation and restoration via interband-invariant representation learning

    Unsupervised hyperspectral noise estimation and restoration via interband-invariant representation learning by Zhaozhi Luo, Janne Heiskanen, Xinyu Wang, Yanfei Zhong, Petri Pellikka

    Published 2024-12-01
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  7. 7
    A method for predicting large-area missing observations in Landsat time series using spectral-temporal metrics

    A method for predicting large-area missing observations in Landsat time series using spectral-temporal metrics by Zhipeng Tang, Hari Adhikari, Petri K.E. Pellikka, Janne Heiskanen

    Published 2021-07-01
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  8. 8
    Land Cover Map for Multifunctional Landscapes of Taita Taveta County, Kenya, Based on Sentinel-1 Radar, Sentinel-2 Optical, and Topoclimatic Data

    Land Cover Map for Multifunctional Landscapes of Taita Taveta County, Kenya, Based on Sentinel-1 Radar, Sentinel-2 Optical, and Topoclimatic Data by Temesgen Alemayehu Abera, Ilja Vuorinne, Martha Munyao, Petri K. E. Pellikka, Janne Heiskanen

    Published 2022-03-01
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  9. 9
    A robust gap-filling method for predicting missing observations in daily Black Marble nighttime light data

    A robust gap-filling method for predicting missing observations in daily Black Marble nighttime light data by Xiangyu Hao, Jinxiu Liu, Janne Heiskanen, Eduardo Eiji Maeda, Si Gao, Xuecao Li

    Published 2023-12-01
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  10. 10
    Mapping Cropland Burned Area in Northeastern China by Integrating Landsat Time Series and Multi-Harmonic Model

    Mapping Cropland Burned Area in Northeastern China by Integrating Landsat Time Series and Multi-Harmonic Model by Jinxiu Liu, Du Wang, Eduardo Eiji Maeda, Petri K. E. Pellikka, Janne Heiskanen

    Published 2021-12-01
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  11. 11
    Intensification of the dispersion of the global climatic landscape and its potential as a new climate change indicator

    Intensification of the dispersion of the global climatic landscape and its potential as a new climate change indicator by Yanlong Guan, Hongwei Lu, Li He, Hari Adhikari, Petri Pellikka, Eduardo Maeda, Janne Heiskanen

    Published 2020-01-01
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  12. 12
    Aboveground Biomass Distribution in a Multi-Use Savannah Landscape in Southeastern Kenya: Impact of Land Use and Fences

    Aboveground Biomass Distribution in a Multi-Use Savannah Landscape in Southeastern Kenya: Impact of Land Use and Fences by Edward Amara, Hari Adhikari, Janne Heiskanen, Mika Siljander, Martha Munyao, Patrick Omondi, Petri Pellikka

    Published 2020-10-01
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  13. 13
    Livestock Detection and Counting in Kenyan Rangelands Using Aerial Imagery and Deep Learning Techniques

    Livestock Detection and Counting in Kenyan Rangelands Using Aerial Imagery and Deep Learning Techniques by Ian A. Ocholla, Petri Pellikka, Faith Karanja, Ilja Vuorinne, Tuomas Väisänen, Mark Boitt, Janne Heiskanen

    Published 2024-08-01
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  14. 14
    Correction: Ocholla et al. Livestock Detection and Counting in Kenyan Rangelands Using Aerial Imagery and Deep Learning Techniques. <i>Remote Sens.</i> 2024, <i>16</i>, 2929

    Correction: Ocholla et al. Livestock Detection and Counting in Kenyan Rangelands Using Aerial Imagery and Deep Learning Techniques. <i>Remote Sens.</i> 2024, <i>16</i>, 2929 by Ian A. Ocholla, Petri Pellikka, Faith Karanja, Ilja Vuorinne, Tuomas Väisänen, Mark Boitt, Janne Heiskanen

    Published 2024-09-01
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  15. 15
    Improving the accuracy of honey bee forage class mapping using ensemble learning and multi-source satellite data in Google Earth Engine

    Improving the accuracy of honey bee forage class mapping using ensemble learning and multi-source satellite data in Google Earth Engine by Filagot Mengistu, Binyam Tesfaw Hailu, Temesgen Alemayehu Abera, Janne Heiskanen, Tadesse Terefe Zeleke, Tino Johansson, Petri Pellikka

    Published 2024-12-01
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  16. 16
    Scalable Crop Yield Prediction with Sentinel-2 Time Series and Temporal Convolutional Network

    Scalable Crop Yield Prediction with Sentinel-2 Time Series and Temporal Convolutional Network by Maria Yli-Heikkilä, Samantha Wittke, Markku Luotamo, Eetu Puttonen, Mika Sulkava, Petri Pellikka, Janne Heiskanen, Arto Klami

    Published 2022-08-01
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  17. 17
    Hybridization may aid evolutionary rescue of an endangered East African passerine

    Hybridization may aid evolutionary rescue of an endangered East African passerine by Daniel Vedder, Luc Lens, Claudia A. Martin, Petri Pellikka, Hari Adhikari, Janne Heiskanen, Jan O. Engler, Juliano Sarmento Cabral

    Published 2022-07-01
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  18. 18
    Natural forest regeneration is projected to reduce local temperatures

    Natural forest regeneration is projected to reduce local temperatures by Sara Alibakhshi, Susan C. Cook-Patton, Edouard Davin, Eduardo Eiji Maeda, Miguel Bastos Araújo, Daniel Heinlein, Janne Heiskanen, Petri Pellikka, Thomas W. Crowther

    Published 2024-10-01
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  19. 19
    Deforestation amplifies climate change effects on warming and cloud level rise in African montane forests

    Deforestation amplifies climate change effects on warming and cloud level rise in African montane forests by Temesgen Alemayehu Abera, Janne Heiskanen, Eduardo Eiji Maeda, Mohammed Ahmed Muhammed, Netra Bhandari, Ville Vakkari, Binyam Tesfaw Hailu, Petri K. E. Pellikka, Andreas Hemp, Pieter G. van Zyl, Dirk Zeuss

    Published 2024-08-01
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