Results 391 to 400 of about 23,698,312 (402)

Status and Evolution of the Sentinel-1 Mission

2021 IEEE International Geoscience and Remote Sensing Symposium IGARSS, 2021
The routine operations of the Copernicus Sentinel-1 mission constellation are on-going and performed at full mission capacity. The C-band SAR mission is characterized by large-scale and repetitive observations, systematic production and free and open data policy. Sentinel-1 data are routinely used by Copernicus and many operational services, and in the
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FDBAQ a novel encoding scheme for Sentinel-1

2009 IEEE International Geoscience and Remote Sensing Symposium, 2009
Modern operational and/or high resolution SAR satellite missions impose stringent requirements on on-board data compression such as a higher data reduction ratio, more flexibility, and faster data throughput. A novel approach is Flexible Dynamic Block Adaptive Quantization (FDBAQ). This method outperforms currently used Block Adaptive Quantization with
P. Snoeij, E. Attema1, MONTI-GUARNIERI, ANDREA VIRGILIO, ROCCA, FABIO   +3 more
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Prospects of Sentinel-1 for land applications

2012 IEEE International Geoscience and Remote Sensing Symposium, 2012
The Sentinel-1 mission is a polar-orbiting satellite constellation for the continuation of C-band Synthetic Aperture Radar (SAR) applications. Contrary to its predecessor instruments onboard of ENVISAT and RADARSAT, the Sentinel-1 satellites will be operated following a predefined and fixed baseline acquisition scenario.
Wolfgang Wagner, Stefan Schlaffer, Marcela Doubkova, Michael Hornacek, Daniel Sabel, Annett Bartsch   +5 more
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Irrigation Mapping Using Sentinel-1 Time Series

IGARSS 2020 - 2020 IEEE International Geoscience and Remote Sensing Symposium, 2020
The obj ective of this paper is to present an approach for mapping irrigated areas at plot scale using the Sentinel-1 radar time series. Over a study site located in Catalonia region of north Spain, a dense temporal series of S1 backscattering coefficients were first obtained at plot scale and grid scale (10km x 10km).
Bazzi, Hassan, Baghdadi, Nicolas, Ienco, Dino, Zribi, Mehrez, Belhouchette, Hatem   +4 more
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Improving Crop Classification Accuracy with Integrated Sentinel-1 and Sentinel-2 Data: a Case Study of Barley and Wheat

Journal of Geovisualization and Spatial Analysis, 2023
G. R. Faqe Ibrahim, Azad Rasul, H. Abdullah   +2 more
semanticscholar   +1 more source

Mapping tree species diversity in temperate montane forests using Sentinel-1 and Sentinel-2 imagery and topography data

Remote Sensing of Environment, 2023
Xiang Liu, Julian Frey, Catalina Munteanu, Nicole Still, B. Koch   +4 more
semanticscholar   +1 more source

Geocoding uncertainty analysis for the automated processing of Sentinel-1 data using Sentinel-1 Toolbox software

SPIE Proceedings, 2016
One of the major advantages of the Sentinel-1 data is its capability to provide very high spatio-temporal coverage allowing the mapping of large areas as well as creation of dense time-series of the Sentinel-1 acquisitions. The SGRT software developed at TU Wien aims at automated processing of Sentinel-1 data for global and regional products. The first
Senmao Cao, Stefano Elefante, Wolfgang Wagner, Henrik J. Persson, Vahid Naeimi, Alena Dostálová   +5 more
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Perspectives of Sentinel - 1 for InSAR applications

2012 IEEE International Geoscience and Remote Sensing Symposium, 2012
The forthcoming Sentinel-1 will offer high quality, medium resolution interferograms, immediately ready for applications. The reduced revisit interval will lead to many improvements, simplifying the tasks of the researchers. New solutions for the estimate of the NS component of the motion can be considered.
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Sentinel-1 mission overview

2009 IEEE International Geoscience and Remote Sensing Symposium, 2009
Bjorn Rommen, Paul Snoeij, Nicolas Floury, Evert Attema, Malcolm Davidson   +4 more
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Improving above ground biomass estimates of Southern Africa dryland forests by combining Sentinel-1 SAR and Sentinel-2 multispectral imagery

Remote Sensing of Environment, 2022
Ruusa M David, N. Rosser, D. Donoghue
semanticscholar   +1 more source