Results 11 to 20 of about 29,868,759 (307)
GIScience & Remote Sensing, 2023 On 11 January 2021, an Mw 6.7 earthquake, which involved a complex rupture mechanism, occurred in Lake Hovsgol, Mongolia. This study measured the earthquake’s 3-D coseismic surface displacement fields using interferometric synthetic aperture radar (InSAR)
Taewook Kim, Hyangsun Han
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Геофизический журнал, 2023 The vertical movements of the Earth’s surface affected by non-tidal atmospheric loading (NTAL) are analyzed using satellite radar interferometry data. A clear relationship between deformation maps data derived from radar interferometry data and the GNSS ...
K.R. Tretyak, D.V. Kukhtar
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Revista de Teledetección, 2020 The Copernicus Emergency Management Service (CEMS) is coordinated by the European Commission and “provides all actors involved in the management of natural disasters, man-made emergency situations, and humanitarian crises with timely and accurate geo ...
U. Donezar-Hoyos +13 more
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Deep Forest classifier for wetland mapping using the combination of Sentinel-1 and Sentinel-2 data
GIScience & Remote Sensing, 2021 Wetlands are among the most important, yet in danger ecosystems and play a vital role for the well-being of humans as well as flora and fauna. Over the past few years, state-of-the-art deep learning (DL) tools have gained attention for wetland ...
Ali Jamali +5 more
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Jando93/Sentinel-1-unsupervised-burned-area-detection: Sentinel-1-unsupervised-burned-area-detection
, 2021 This code represents a processing workflow for the unsupervised detection and mapping of burned areas using SAR Sentinel-1 (S-1) satellite data.
Jando93
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Lithology classification of igneous rocks using C-band and L-band dual-polarization SAR data
Open Geosciences, 2023 Distinguishing different kinds of igneous rocks is difficult because of their subtle differences. Synthetic aperture radar (SAR) is sensitive to rock surface morphology, which can help a lot in classification. Dual-pol SAR data have the advantages of low
Guo Senmiao +4 more
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Evaluation of the potential of Sentinel-1 and Sentinel-1 data for clay content mapping [PDF]
, 2020 <p>Soil texture is a key parameter in agricultural processes and an important measure for agricultural prediction, water cycle, filtering of pollutants and carbon storage. Besides, its estimation is essential for agronomists, hydrologists, geologists and environmentalists and for modeling in these application areas.
Bousbih, Safa +5 more
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Sentinel-1 FDBAQ Performance Validation Using TerraSAR-X Data [PDF]
, 2012 Two Block Adaptive Quantization (BAQ) algorithms considered for implementation on-board Sentinel-1, the Entropy Constrained BAQ (ECBAQ) and the Flexible Dynamic BAQ (FDBAQ) are investigated with real data acquired by TerraSAR-X.
Evert Attema +9 more
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Sample-free automated mapping of double-season rice in China using Sentinel-1 SAR imagery
Frontiers in Environmental Science, 2023 Introduction: Timely and accurately mapping the spatial distribution of rice is of great significance for estimating crop yield, ensuring food security and freshwater resources, and studying climate change.
Xi Zhang +8 more
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European Journal of Remote Sensing, 2020 Grasslands are a major component of the natural vegetation in South Africa, it covers almost one-third of the country’s land surface. The current study focuses on assessing the impact of drought stress on communal and commercial grasslands in Eastern ...
Ayman Abdel-Hamid +3 more
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