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Oleg Antropov
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2020 – today
- 2024
- [j29]Ridvan Salih Kuzu
, Oleg Antropov
Forest Disturbance Detection via Self-Supervised and Transfer Learning With Sentinel-1&2 Images. IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens. 17: 4751-4767 (2024) - [j28]Ghasem Ronoud
Enhancing Hyrcanian Forest Height and Aboveground Biomass Predictions: A Synergistic Use of TanDEM-X InSAR Coherence, Sentinel-1, and Sentinel-2 Data. IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens. 17: 8409-8423 (2024) - [c25]Oleg Antropov, Matthieu Molinier, Lauri Seitsonen, Alireza Hamedianfar, Maarit Middleton, Kati Laakso, Heikki Sutinen, Pauliina Liwata-Kenttälä:
Continuous Ground Moisture Monitoring at Limestone Quarry Using Multi-Sensor SAR Images and in Situ IoT Sensors. IGARSS 2024: 3392-3395 - [c24]Marc Herrera Giménez, Carlos López-Martínez, Oleg Antropov, Juan M. Lopez-Sanchez:
Role of Temporal Decorrelation in C-Band SAR Interferometry over Boreal and Temperate Forests. IGARSS 2024: 4230-4234 - 2023
- [j27]Shaojia Ge
A Novel Semisupervised Contrastive Regression Framework for Forest Inventory Mapping With Multisensor Satellite Data. IEEE Geosci. Remote. Sens. Lett. 20: 1-5 (2023) - [j26]Shaojia Ge
Sentinel-1 Time Series for Predicting Growing Stock Volume of Boreal Forest: Multitemporal Analysis and Feature Selection. Remote. Sens. 15(14): 3489 (2023) - [j25]Shaojia Ge
Deep Learning Model Transfer in Forest Mapping Using Multi-Source Satellite SAR and Optical Images. Remote. Sens. 15(21): 5152 (2023) - [c23]Oleg Antropov
Semi-Supervised Deep Learning Representations in Earth Observation Based Forest Management. IGARSS 2023: 650-653 - [i3]Shaojia Ge
Deep Learning Model Transfer in Forest Mapping using Multi-source Satellite SAR and Optical Images. CoRR abs/2308.05005 (2023) - 2022
- [j24]Shaojia Ge
Improved LSTM Model for Boreal Forest Height Mapping Using Sentinel-1 Time Series. Remote. Sens. 14(21): 5560 (2022) - [j23]Shaojia Ge
Improved Semisupervised UNet Deep Learning Model for Forest Height Mapping With Satellite SAR and Optical Data. IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens. 15: 5776-5787 (2022) - [c22]Shaojia Ge
Deep Learning Models in Forest Mapping Using Multitemporal SAR and Optical Satellite Data. IGARSS 2022: 5688-5691 - [c21]Oleg Antropov
Intercomparison of Earth Observation Data and Methods for Forest Mapping in the Context of Forest Carbon Monitoring. IGARSS 2022: 5777-5780 - [d1]Oleg Antropov, Sanja Scepanovic, Yrjö Rauste:
Wide-area Sentinel-1 SAR mosaics patches over Finland for semantic segmentation. IEEE DataPort, 2022 - [i2]Shaojia Ge
A Novel Semisupervised Contrastive Regression Framework for Forest Inventory Mapping with Multisensor Satellite Data. CoRR abs/2212.00246 (2022) - 2021
- [j22]Marjan Marbouti
TanDEM-X multiparametric data features in sea ice classification over the Baltic sea. Geo spatial Inf. Sci. 24(2): 313-332 (2021) - [j21]Erkki Tomppo
Detection of Forest Windstorm Damages with Multitemporal SAR Data - A Case Study: Finland. Remote. Sens. 13(3): 383 (2021) - [j20]Oleg Antropov
Mapping Forest Disturbance Due to Selective Logging in the Congo Basin with RADARSAT-2 Time Series. Remote. Sens. 13(4): 740 (2021) - [j19]Sanja Scepanovic
Wide-Area Land Cover Mapping With Sentinel-1 Imagery Using Deep Learning Semantic Segmentation Models. IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens. 14: 10357-10374 (2021) - [c20]Oleg Antropov
Mapping Forest Thinning, Systemic and Selective Logging Operations Using Various Imaging Modes of X-Band SAR Images. IGARSS 2021: 6272-6274 - 2020
- [j18]Marjan Marbouti, Leif E. B. Eriksson
Evaluating Landfast Sea Ice Ridging near UtqiaġVik Alaska Using TanDEM-X Interferometry. Remote. Sens. 12(8): 1247 (2020) - [j17]Emmi Turppa
Vital Sign Monitoring Using FMCW Radar in Various Sleeping Scenarios. Sensors 20(22): 6505 (2020) - [j16]Alexander W. Jacob
Sentinel-1 InSAR Coherence for Land Cover Mapping: A Comparison of Multiple Feature-Based Classifiers. IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens. 13: 535-552 (2020) - [c19]Vladimir Ignatenko, Pekka Laurila, Andrea Radius, Leszek Lamentowski, Oleg Antropov
ICEYE Microsatellite SAR Constellation Status Update: Evaluation of First Commercial Imaging Modes. IGARSS 2020: 3581-3584 - [c18]Oleg Antropov
Classification of Wide-Area SAR Mosaics: Deep Learning Approach for Corine Based Mapping of Finland Using Multitemporal Sentinel-1 Data. IGARSS 2020: 4283-4286 - [c17]Shaojia Ge
Predicting Growing Stock Volume of Boreal Forests Using Very Long Time Series of Sentinel-1 Data. IGARSS 2020: 4509-4512
2010 – 2019
- 2019
- [j15]Erkki Tomppo
Boreal Forest Snow Damage Mapping Using Multi-Temporal Sentinel-1 Data. Remote. Sens. 11(4): 384 (2019) - [j14]Erkki Tomppo
Cropland Classification Using Sentinel-1 Time Series: Methodological Performance and Prediction Uncertainty Assessment. Remote. Sens. 11(21): 2480 (2019) - [c16]Shaojia Ge
Deep Recurrent Neural Networks for Land-Cover Classification Using Sentinel-1 INSAR Time Series. IGARSS 2019: 473-476 - [i1]Sanja Scepanovic, Oleg Antropov, Pekka Laurila, Vladimir Ignatenko, Jaan Praks:
Wide-Area Land Cover Mapping with Sentinel-1 Imagery using Deep Learning Semantic Segmentation Models. CoRR abs/1912.05067 (2019) - 2018
- [c15]Oleg Antropov
Multi-Sensor Sar Data for Improved Modeling of Microwave Brightness Temperature over Boreal Forest. IGARSS 2018: 361-364 - [c14]Oleg Antropov
Tropical Forest Tree Height and Above Ground Biomass Mapping in Nepal Using Tandem-X and ALOS PALSAR Data. IGARSS 2018: 5334-5336 - [c13]Marjan Marbouti, Oleg Antropov
Automated SEA ICE Classification Over the Baltic SEA using Multiparametric Features of Tandem-X Insar Images. IGARSS 2018: 7328-7331 - [c12]Silvan Leinss, Oleg Antropov
Wet Snow Depth from Tandem-X Single-Pass Insar Dem Differencing. IGARSS 2018: 8500-8503 - [c11]Jaan Praks
Forest Height Estimation from TanDEM-X images with Semi-Empirical Coherence Models. IGARSS 2018: 8805-8808 - 2017
- [j13]Jaakko Seppänen
Improved Characterization of Forest Transmissivity Within the L-MEB Model Using Multisensor SAR Data. IEEE Geosci. Remote. Sens. Lett. 14(8): 1408-1412 (2017) - [j12]Marjan Marbouti, Jaan Praks
A Study of Landfast Ice with Sentinel-1 Repeat-Pass Interferometry over the Baltic Sea. Remote. Sens. 9(8): 833 (2017) - [j11]Oleg Antropov
Polarimetric ALOS PALSAR Time Series in Mapping Biomass of Boreal Forests. Remote. Sens. 9(10): 999 (2017) - [c10]Thomas Jagdhuber, Martin J. Baur, Moritz Link, Maria Piles
PHYSICS-based retrieval of scattering albedo and vegetation optical depth using multi-sensor data integration. IGARSS 2017: 4322-4325 - 2016
- [j10]Aire Olesk
Interferometric SAR Coherence Models for Characterization of Hemiboreal Forests Using TanDEM-X Data. Remote. Sens. 8(9): 700 (2016) - [j9]Karlis Zalite
Monitoring of Agricultural Grasslands With Time Series of X-Band Repeat-Pass Interferometric SAR. IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens. 9(8): 3687-3697 (2016) - [c9]Jaan Praks
Building blocks for semiempirical models for forest parameter extraction from interferometric X-band SAR images. IGARSS 2016: 736-739 - [c8]Jaakko Seppänen
Improving SMOS soil moisture algorithm performance in forested areas with multisensor SAR data. IGARSS 2016: 1675-1678 - [c7]Oleg Antropov
Mapping forest disturbance using long time series of Sentinel-1 data: Case studies over boreal and tropical forests. IGARSS 2016: 3906-3909 - 2015
- [c6]Tuomas Häme, Teemu Mutanen, Yrjö Rauste
Enabling intelligent copernicus services for carbon and water balance modeling of boreal forest ecosystems - North state. IGARSS 2015: 2048-2051 - [c5]Oleg Antropov
Combining TanDEM-X and Landsat 8 data for improved mapping of forest biomass. IGARSS 2015: 3862-3865 - [c4]Oleg Antropov
Selective logging of tropical forests observed using L- and C-band SAR satellite data. IGARSS 2015: 3870-3873 - 2014
- [j8]Kaupo Voormansik, Jaan Praks
Flood Mapping With TerraSAR-X in Forested Regions in Estonia. IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens. 7(2): 562-577 (2014) - [j7]Oleg Antropov
Land Cover and Soil Type Mapping From Spaceborne PolSAR Data at L-Band With Probabilistic Neural Network. IEEE Trans. Geosci. Remote. Sens. 52(9): 5256-5270 (2014) - [c3]Karlis Zalite
Towards detecting mowing of agricultural grasslands from multi-temporal COSMO-SkyMed data. IGARSS 2014: 5076-5079 - 2013
- [j6]Oleg Antropov
Stand-Level Stem Volume of Boreal Forests From Spaceborne SAR Imagery at L-Band. IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens. 6(1): 35-44 (2013) - [j5]Tuomas Häme, Jorma Kilpi
Improved Mapping of Tropical Forests With Optical and SAR Imagery, Part I: Forest Cover and Accuracy Assessment Using Multi-Resolution Data. IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens. 6(1): 74-91 (2013) - [j4]Tuomas Häme, Yrjö Rauste
Improved Mapping of Tropical Forests With Optical and SAR Imagery, Part II: Above Ground Biomass Estimation. IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens. 6(1): 92-101 (2013) - 2012
- [j3]Oleg Antropov
PolSAR Mosaic Normalization for Improved Land-Cover Mapping. IEEE Geosci. Remote. Sens. Lett. 9(6): 1074-1078 (2012) - [j2]Jaan Praks
LIDAR-Aided SAR Interferometry Studies in Boreal Forest: Scattering Phase Center and Extinction Coefficient at X- and L-Band. IEEE Trans. Geosci. Remote. Sens. 50(10): 3831-3843 (2012) - [c2]Jaan Praks
Boreal forest tree height estimation from interferometric TanDEM-X images. IGARSS 2012: 1262-1265 - [c1]Oleg Antropov
Peatland delineation under forest canopy with polsar data using model based decomposition technique. IGARSS 2012: 4918-4921 - 2011
- [j1]Oleg Antropov
Volume Scattering Modeling in PolSAR Decompositions: Study of ALOS PALSAR Data Over Boreal Forest. IEEE Trans. Geosci. Remote. Sens. 49(10): 3838-3848 (2011)
Coauthor Index
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