Yrjö Rauste

Engineering · Physical Sciences

23h-index1.9kcitations130works0.02yr avg
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Research Topics

Synthetic Aperture Radar (SAR) Applications and Techniques(54), Remote Sensing and LiDAR Applications(50), Remote Sensing in Agriculture(31), Soil Moisture and Remote Sensing(18), Remote-Sensing Image Classification(16)

Publications130 total

Automatic Detection of Forest Fires Using Satellite Images
2026
Sentinel-1 Time Series for Predicting Growing Stock Volume of Boreal Forest: Multitemporal Analysis and Feature Selection
Remote Sensing·2023· 7 citedOpen Access
Forest Area and Structural Variable Estimation in Boreal Forest Using Suomi NPP VIIRS Data and a Sample from VHR Imagery
Remote Sensing·2023· 1 citedOpen Access
Improved LSTM Model for Boreal Forest Height Mapping Using Sentinel-1 Time Series
Remote Sensing·2022· 11 citedOpen Access
Boreal Forest Height Mapping using Sentinel-1 Time Series and improved LSTM model
2022· 7 citedOpen Access
Demonstration of large area forest volume and primary production estimation approach based on Sentinel-2 imagery and process based ecosystem modelling
International Journal of Remote Sensing·2021· 19 citedOpen Access
Using hypertemporal Sentinel-1 data to predict forest growing stock volume
2021· 7 citedOpen Access
Mapping Forest Thinning, Systemic and Selective Logging Operations Using Various Imaging Modes of X-Band SAR Images
2021
Mapping Forest Disturbance Due to Selective Logging in the Congo Basin with RADARSAT-2 Time Series
Remote Sensing·2021· 16 citedOpen Access
Wide-Area Land Cover Mapping With Sentinel-1 Imagery Using Deep Learning Semantic Segmentation Models
IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing·2021· 3 citedOpen Access
Predicting Growing Stock Volume of Boreal Forests Using Very Long Time Series of Sentinel-1 Data
2020· 3 cited
Classification of Wide-Area SAR Mosaics: Deep Learning Approach for Corine Based Mapping of Finland Using Multitemporal Sentinel-1 Data
2020· 5 cited
Stakeholder and Requirements Assessment Report : Copernicus evolution – Mission Exploitation Concepts Capacity for Copernicus REDD+ and Forest Monitoring Services
Socio-Environmental Systems Modeling·2020Open Access
Wide-Area Land Cover Mapping with Sentinel-1 Imagery using Deep Learning\n Semantic Segmentation Models
arXiv (Cornell University)·2019· 3 citedOpen Access
Utilizing Sentinel-1A Radar Images for Large-Area Land Cover Mapping with Machine-learning Methods
Canadian Journal of Remote Sensing·2019· 6 citedOpen Access
Forest biomass retrieval approaches from earth observation in different biomes
International Journal of Applied Earth Observation and Geoinformation·2019· 112 citedOpen Access
Review Assessment for Forest Monitoring Capacity : Horizon 2020 LC-SPACE-02-EO-2018: Copernicus evolution – Mission Exploitation Concepts Capacity for Copernicus REDD+ and Forest Monitoring Services
Socio-Environmental Systems Modeling·2019Open Access
Metsävaratiedon ajantasaistus – satelliittikuviin perustuva muutostulkinta
Metsätieteen aikakauskirja·2019Open Access
Tropical Forest Tree Height and Above Ground Biomass Mapping in Nepal Using Tandem-X and ALOS PALSAR Data
2018· 8 cited
Potential of Different Optical and SAR Data in Forest and Land Cover Classification to Support REDD+ MRV
Remote Sensing·2018· 28 citedOpen Access
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Frequent Co-authors

Tuomas Häme(24), Oleg Antropov(17), Jaan Praks(9), Anne Lönnqvist(6), Laura Sirro(6), Åke Rosenqvist(5), F. Seifert(5), Matthieu Molinier(5), Heikki Ahola(5), G. De Grandi(4), Shaojia Ge(4), Weimin Su(4), Jorma Kilpi(3), Väinö Kelhä(3), Hong Gu(3), Masanobu Shimada(2), Bruce Chapman(2), S. Quegan(2), João M. B. Carreiras(2), Valerio Avitabile(2)