Results 11 to 20 of about 21,391,424 (311)
Jando93/Sentinel-1-unsupervised-burned-area-detection: Sentinel-1-unsupervised-burned-area-detection [PDF]
, 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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Sentinel-1 object-based image classification result (2017, 2018, 2019). [PDF]
, 2022 Sentinel-1 object-based image classification result (2017, 2018, 2019).
Kumar Arun Prasad (14249885) +8 more
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D1.1 The SENTINEL baseline [PDF]
, 2021 Deliverable D1.1 (“The SENTINEL Baseline”) has been produced within Work Package (WP) 1 (“SENTINEL Baseline: Setting the Methodological Scene”) of the SENTINEL project under task T1.1 (“The SENTINEL Requirements Engineering Methodology”). The aim of this
Loucopoulos, Pericles +2 more
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Railway infrastructure classification and instability identification-sentinel-1 and Lidar [PDF]
, 2021 This is the data archive for Chang, L., Sakpal, N., Oude Elberink, S. J., & Wang, H. (2020). Railway Infrastructure Classification and Instability Identification Using Sentinel-1 SAR and Laser Scanning Data. Sensors (Switzerland), 20(24), 1-16.
Chang, Assistant professor LING (Faculty of Geo-Information science and Earth Observation (ITC), University of Twente) ORCID=0000-0001-8212-7221
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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
doaj +1 more source
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
openaire +2 more sources
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
doaj +1 more source
SENTINEL-1 TIME SERIES ANALYSIS ON CENTRAL AMAZON FLOODS [PDF]
, 2022 This study aimed to analyze the dynamics of the flooded areas of the Sentinel 1-SAR time series in a section of the Central Amazon between September 26, 2016, and February 8, 2020. The total of images was 59 for each polarization.
Renato Fontes Guimarães (8077634) +3 more
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