GMES Sentinel-1 mission

By R. Torres, P. Snoeij, D. Geudtner, D. Bibby, M. Davidson, E. Attema, P. Potin, B. Rommen, N. Floury, Mike Brown and 11 more. 2012

2,009 citations recorded by the source corpus.

Subfields: Aerospace Engineering, Environmental Engineering

View Paper: https://www.semanticscholar.org/paper/2673a9cbc1b805ef2b3b8f2aaccbf132c609f15e

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Citations in the corpus

SEN12MS - A Curated Dataset of Georeferenced Multi-Spectral Sentinel-1/2 Imagery for Deep Learning and Data Fusion (2019, background): “The Sentinel-1 mission (Torres et al., 2012) consists of currently two polar-orbiting satellites, equipped with C-band SAR sensors, which enables them to acquire imagery regardless of the weather.”
Interferometric Processing of Sentinel-1 TOPS Data (2016, methodology): “The S-1 system was conceived to provide repeat-pass interferometric capabilities with unprecedented wide area coverage for medium-resolution applications [2].”
Sentinel-1 SAR Backscatter Analysis Ready Data Preparation in Google Earth Engine (2021, background): “, the ability to separate between adjacent target objects on the ground of approximately 20 × 22 m [9].”
Cloud removal in Sentinel-2 imagery using a deep residual neural network and SAR-optical data fusion (2020, neutral): “The SAR data used in this work originates from the Copernicus Sentinel-1 mission (Torres et al., 2012).”
OpenSARShip: A Dataset Dedicated to Sentinel-1 Ship Interpretation (2018, methodology): “The IW mode, with VV–VH dual polarization, is the default Sentinel-1 mode, covering almost global land and littoral zones [26].”
Forest disturbance alerts for the Congo Basin using Sentinel-1 (2021, neutral): “With the European Sentinel-1A and 1B C-band radar satellites launched in 2014 and 2016 (Torres et al 2012), global temporally dense and high resolution radar data at 10 m spatial scale are freely available for the first time.”
Land cover 2.0 (2018, background): “The provision of radar data in a systematically and consistently processed open access form such as by the recently launched Sentinel-1A and 1B C-band systems (Torres et al. 2012) is expected to lead to greater operational uptake.”
Radar Remote Sensing of Agricultural Canopies: A Review (2017, background): “the single-polarization WM, all modes have dual polarization with VV and VH as the default [275].”
Persistent Scatterer Interferometry: A review (2016, methodology): “This allows studying wide areas (e.g. 100 by 100 km with single frames of StripMap ERS and Envisat, 250 by 250 km with single frames of the Interferometric Wide Swath of Sentinel-1), thus getting a global outlook of the deformation phenomena in the imaged areas.”
HRSID: A High-Resolution SAR Images Dataset for Ship Detection and Instance Segmentation (2020, background): “In recent years, with the launch of SAR satellites, such as Sentinel-1 [5], TerraSAR-X [6] and Chinese Gaofen-3, increasing amounts of high-resolution SAR imageries are available for”
Deep Learning Classification of Land Cover and Crop Types Using Remote Sensing Data (2017, background): “During the 2013–2016 period, several optical and synthetic aperture radar (SAR) RS satellites were launched with high spatial resolution (10–30 m), in particular Sentinel-1A/B and Sentinel-2A within the European Copernicus program [1], [2], and Landsat-8 within the Landsat Project, a joint initiativ”
Linking earth observation and taxonomic, structural and functional biodiversity: local to ecosystem perspectives (2016, background): “Moreover, all Sentinel-EO data are freely available and will be saved in a consistent data archive for long time series (Torres et al., 2012).”
Squeeze and Excitation Rank Faster R-CNN for Ship Detection in SAR Images (2019, background): “I. INTRODUCTION W ITH the rapid development of spaceborne syntheticaperture radar (SAR) such as TerraSAR-X, RADARSAT-2, and Sentinel-1 [1]–[3], SAR ship detection has become an important part of marine monitoring.”