Detection of forest windthrows with bitemporal COSMO-SkyMed and Sentinel-1 SAR data

Fourier domain structural relationship analysis for unsupervised multimodal change detection

(2023) Hongruixuan Chen et al.   ISPRS JOURNAL OF PHOTOGRAMMETRY AND REMOTE SENSING

Potential of Sentinel-1 SAR to Assess Damage in Drought-Affected Temperate Deciduous Broadleaf Forests

(2023) Konstantin Schellenberg et al.   Remote Sensing

Burned Area Detection Using Multi-Sensor SAR, Optical, and Thermal Data in Mediterranean Pine Forest

(2022) Saygin Abdikan et al.   Forests

Significant increase in natural disturbance impacts on European forests since 1950

(2022) Marco Patacca et al.   GLOBAL CHANGE BIOLOGY

Burned area detection using Sentinel-1 SAR data: A case study of Kangaroo Island, South Australia

(2022) Maryamsadat Hosseini et al.   APPLIED GEOGRAPHY

Detection of Forest Windstorm Damages with Multitemporal SAR Data—A Case Study: Finland

(2021) Erkki Tomppo et al.   Remote Sensing

Unsupervised Change Detection from Remotely Sensed Images Based on Multi-Scale Visual Saliency Coarse-to-Fine Fusion

(2021) Pengfei He et al.   Remote Sensing

Multi-model convection-resolving simulations of the October 2018 Vaia storm over Northeastern Italy

(2021) Lorenzo Giovannini et al.   ATMOSPHERIC RESEARCH

On the Use of Interferometric Synthetic Aperture Radar Data for Monitoring and Forecasting Natural Hazards

(2021) Mara S. Bernardi et al.   Mathematical Geosciences

CNN-based burned area mapping using radar and optical data

(2021) Miguel A. Belenguer-Plomer et al.   REMOTE SENSING OF ENVIRONMENT

Assessing Forest Type and Tree Species Classification Using Sentinel-1 C-Band SAR Data in Southern Sweden

(2021) Alberto Udali et al.   Remote Sensing

Wide-Area Analysis-Ready Radar Backscatter Composites

(2021) David Small et al.   IEEE TRANSACTIONS ON GEOSCIENCE AND REMOTE SENSING

A Novel Method for Layover Detection in Mountainous Areas with SAR Images

(2021) Lin Wu et al.   Remote Sensing

Estimated Biomass Loss Caused by the Vaia Windthrow in Northern Italy: Evaluation of Active and Passive Remote Sensing Options

(2021) Gaia Vaglio Laurin et al.   Remote Sensing

The Management Response to Wind Disturbances in European Forests

(2021) Paula Sanginés de Cárcer et al.   Current Forestry Reports

Land Cover Change Detection Techniques: Very-high-resolution optical images: A review

(2021) Zhiyong Lv et al.   IEEE Geoscience and Remote Sensing Magazine

Near Real-Time Wildfire Progression Monitoring with Sentinel-1 SAR Time Series and Deep Learning

(2020) Yifang Ban et al.   Scientific Reports

Automatic Windthrow Detection Using Very-High-Resolution Satellite Imagery and Deep Learning

(2020) Dmitry E. Kislov et al.   Remote Sensing

A Hierarchical Deep-Learning Approach for Rapid Windthrow Detection on PlanetScope and High-Resolution Aerial Image Data

(2020) Wolfgang Deigele et al.   Remote Sensing

Rapid Detection of Windthrows Using Sentinel-1 C-Band SAR Data

(2019) Marius Rüetschi et al.   Remote Sensing

An Approach to Multiple Change Detection in VHR Optical Images Based on Iterative Clustering and Adaptive Thresholding

(2019) Yady Tatiana Solano-Correa et al.   IEEE Geoscience and Remote Sensing Letters

Supervised fusion approach of local features extracted from SAR images for detecting deforestation changes

(2019) Abdelkader Horch et al.   IET Image Processing

Forest Damage Assessment Using Deep Learning on High Resolution Remote Sensing Data

(2019) Zayd Mahmoud Hamdi et al.   Remote Sensing

Detection of windthrows and insect outbreaks by L-band SAR: A case study in the Bavarian Forest National Park

(2018) Mihai A. Tanase et al.   REMOTE SENSING OF ENVIRONMENT

DETECTION OF ENVIRONMENTAL CHANGES DUE TO WINDTHROWS USING LANDSAT 7 ETM+ SATELLITE IMAGES

(2018) Iosif Vorovencii   Environmental Engineering and Management Journal

Generation of Complete SAR Geometric Distortion Maps Based on DEM and Neighbor Gradient Algorithm

(2018) Xiaohong Chen et al.   Applied Sciences-Basel

Windthrow Detection in European Forests with Very High-Resolution Optical Data

(2017) Kathrin Einzmann et al.   Forests

Using Multitemporal Sentinel-1 C-band Backscatter to Monitor Phenology and Classify Deciduous and Coniferous Forests in Northern Switzerland

(2017) et al.   Remote Sensing

A Novel Approach for Coarse-to-Fine Windthrown Tree Extraction Based on Unmanned Aerial Vehicle Images

(2017) Fuzhou Duan et al.   Remote Sensing

Building Change Detection in Multitemporal Very High Resolution SAR Images

(2015) Carlo Marin et al.   IEEE TRANSACTIONS ON GEOSCIENCE AND REMOTE SENSING

Simulating SAR geometric distortions and predicting Persistent Scatterer densities for ERS-1/2 and ENVISAT C-band SAR and InSAR applications: Nationwide feasibility assessment to monitor the landmass of Great Britain with SAR imagery

(2014) Francesca Cigna et al.   REMOTE SENSING OF ENVIRONMENT

Increasing forest disturbances in Europe and their impact on carbon storage

(2014) Rupert Seidl et al.   Nature Climate Change

Rapid assessment of wind storm-caused forest damage using satellite images and stand-wise forest inventory data

(2013) D Jonikavičius et al.   iForest-Biogeosciences and Forestry

Wind as a natural disturbance agent in forests: a synthesis

(2012) S. J. Mitchell   FORESTRY

How does silviculture affect storm damage in forests of south-western Germany? Results from empirical modeling based on long-term observations

(2010) Axel Albrecht et al.   EUROPEAN JOURNAL OF FOREST RESEARCH

Comparison of remote sensing change detection techniques for assessing hurricane damage to forests

(2009) Fugui Wang et al.   ENVIRONMENTAL MONITORING AND ASSESSMENT

Assessment of Atmospheric Propagation Effects in SAR Images

(2009) A. Danklmayer et al.   IEEE TRANSACTIONS ON GEOSCIENCE AND REMOTE SENSING

Detecting wind disturbance severity and canopy heterogeneity in boreal forest by coupling high-spatial resolution satellite imagery and field data

(2009) Roy. L. Rich et al.   REMOTE SENSING OF ENVIRONMENT