Determination of the Earthquake Epicenter from Line-of-Sight Displacement Images Obtained by Sentinel-1A/B Radar Data Using the GMTSAR Software Package

This article described the technology of determining earthquake epicenter with radar remote sensing on the example of Sentinel-1A/B. To determine the epicenter of the earthquake, the Earth's crust displacements were analyzed using radar remote sensing data obtained for the ascending and descending flight orbits. Coordinates of Earthquake epicenters were found according to line-of-sight displacement images via its maximum value. Displacement of the Earth's crust was obtained by processing in the GMTSAR package in the VirtualBox virtual machine of the Linux Ubuntu 16.04 operation system. Two earthquakes that occurred in 2020 were studied to determine the accuracy of finding epicenters using the ascending and descending orbits Sentinel-1A/B. These earthquakes occurred in Western Xizang, China, and Doganyol, Turkey. The maximum deviation from the officially registered epicenter coordinates was 15.38 km for Doganyol and 3.2 km for the Western Xizang earthquake. The negative displacement was 90 mm for Doganyol and 50 mm for Western Xizang.

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Application of Sentinel-1 Radar Remote Sensing Data for Detecting Nuclear Test Location in North Korea on September 3, 2017

10.20944/preprints202102.0368.v1 ◽

2021 ◽

Author(s):

Asset Akhmadiya ◽

Khuralay Moldamurat ◽

Nabi Nabiyev ◽

Aigerim Kismanova

Keyword(s):

Remote Sensing ◽

North Korea ◽

Remote Sensing Data ◽

Nuclear Test ◽

Underground Explosion ◽

Line Of Sight ◽

Operation System ◽

Radar Remote Sensing ◽

Sensing Data ◽

First Time

Sentinel-1A/B radar remote sensing data were applied for the first time to determine the sixth nuclear test, its underground explosion h-bomb location and affected zone in North Korea, on September 3, 2017. Location of epicenters nuclear test were found according to line-of-sight displacement images via its maximum value. Line-of-sight displacement images were obtained by processing in the GMTSAR package in the VirtualBox virtual machine of the Linux Ubuntu 16.04 operation system. In this research, three scenes Sentinel-B data with descending orbits were considered, one after and two before the event (the nuclear test date) scene were used.

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Methodology of research into the earth's crust structure via remote sensing technologies

Visnyk of Taras Shevchenko National University of Kyiv Geology ◽

10.17721/1728-2713.64.13.73-77 ◽

2014 ◽

pp. 73-77

Author(s):

O. Azimov

Keyword(s):

Remote Sensing ◽

Mass Exchange ◽

Driving Forces ◽

Remote Sensing Data ◽

Earth’S Crust ◽

Lithospheric Structure ◽

Crust Structure ◽

Phenomenological Consideration ◽

Physical Forces ◽

Earth's Crust

Five fundamentals to investigate Earth's crust structure using remote aerospace technologies are given conceptual and phenomenological consideration. The first principle refers to the paragenesis of the oppositely directed physical forces. These are, namely, the force of attraction, and the force of repulsion. The second principle underlies the two groups of the geological driving forces (internal and external ones) that determine the appearance and the evolution of the lithospheric structure. The third principle of applying remote sensing application for geological purposes is based on two types of deformations: plastic (quasiplastic) rock deformation and brittle (quasibrittle) deformation. The fourth principle underpins dynamics of both permanent and interrupted energy-mass-exchange in the natural Earth's geosystems, which is a property of matter and its forms of motion. The fifth principle states that specific modern landscapes and their anomalies (being geoindicators of interior structure of the geological substrate and energy-mass exchange) are differentiated by the spectral features of the reflected, absorbed, and emitted electromagnetic radiation in variable wave ranges. As a result, they are distinguished by these characteristics and may be imaged and identified via remote sensing data.

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Application of GMTSAR and ESA SNAP Software to Determine Earthquake Epicenter Coordinate Using Sentinel-1A/B Radar Remote Sensing Data

2021 IEEE International Conference on Smart Information Systems and Technologies (SIST) ◽

10.1109/sist50301.2021.9465906 ◽

2021 ◽

Author(s):

Akhmadiya Asset ◽

Moldamurat Khuralay ◽

Nabiyev Nabi ◽

Kismanova Aigerim

Keyword(s):

Remote Sensing ◽

Remote Sensing Data ◽

Earthquake Epicenter ◽

Radar Remote Sensing ◽

Sensing Data

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Evolution of Surge-Type Glaciers in the Yangtze River Headwater Using Multi-Source Remote Sensing Data

Remote Sensing ◽

10.3390/rs11242991 ◽

2019 ◽

Vol 11 (24) ◽

pp. 2991 ◽

Cited By ~ 1

Author(s):

Jin Yan ◽

Mingyang Lv ◽

Zhixing Ruan ◽

Shiyong Yan ◽

Guang Liu

Keyword(s):

Remote Sensing ◽

Flow Velocity ◽

Yangtze River ◽

Stable State ◽

Remote Sensing Data ◽

Radar Data ◽

Series Data ◽

The Yangtze River ◽

Glacier Surges ◽

Short Time

A surge-type glacier is a special and dangerous type of glacier, which can advance quickly in a short-time with cycles. Glaciers in the Yangtze River headwater are generally acknowledged to be in a stable state. However, not all of those glaciers are stable. In this paper, five glaciers from the Yangtze River headwater glacier were selected as the experimental subjects, and multi-source remote sensing images were used to study and analyze the surge behavior over the past 30 years. Based on the Landsat series data, ERS-2, and ENVISAT radar data, this paper extracts the glacier centerline information, glacial area information, and glacial flow velocity during different time periods from 1988 to 2018, which are used to monitor the active periods of glacier surges. We found three surge-type glaciers in the study area. The glacial characteristics of the three glaciers showed some drastic changes, they can advance quickly nearly 800 m in active periods, their area change can reach 2.0 × 106 m2, and their flow velocity can suddenly increase by dozens of times. Surging periods and the initiated time of the three glaciers are different, which are locked in 1997, 2003, and 1997–1998. All those surges ended within one to two years. We suggest that the surges in this paper are dominated by hydrological conditions.

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Software package for creation of Earth surface digital elevation matrix use radar remote sensing data

3rd International Conference on Satellite Communications (IEEE Cat. No.98TH8392) ◽

10.1109/icsc.1998.741358 ◽

2002 ◽

Author(s):

I.V. Elizavetin ◽

D.V. Troshkin

Keyword(s):

Remote Sensing ◽

Software Package ◽

Remote Sensing Data ◽

Earth Surface ◽

Radar Remote Sensing ◽

Sensing Data ◽

Digital Elevation

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Application of optical and radar data for lineaments mapping in Kerdous inlier of the Anti Atlas belt, Morocco

10.5194/egusphere-egu21-7895 ◽

2021 ◽

Author(s):

Amine Jellouli ◽

Abderrazak El Harti ◽

Zakaria Adiri ◽

Mohcine Chakouri ◽

Jaouad El Hachimi ◽

...

Keyword(s):

Remote Sensing ◽

Remote Sensing Data ◽

Radar Data ◽

Ore Deposits ◽

Landsat 8 ◽

Landsat 8 Oli ◽

Alos Palsar ◽

Geological Map ◽

Color Composite ◽

Manual Extraction

Lineament mapping is an important step for lithological and hydrothermal alterations mapping. It is considered as an efficient research task which can be a part of structural investigation and mineral ore deposits identification. The availability of optical as well as radar remote sensing data, such as Landsat 8 OLI, Terra ASTER and ALOS PALSAR data, allows lineaments mapping at regional and national scale. The accuracy of the obtained results depends strongly on the spatial and spectral resolution of the data. The aim of this study was to compare Landsat 8 OLI, Terra ASTER, and radar ALOS PALSAR satellite data for automatic and manual lineaments extraction. The module Line of PCI Geomatica software was applied on PC1 OLI, PC3 ASTER and HH and HV polarization images to automatically extract geological lineaments. However, the manual extraction was achieved using the RGB color composite of the directional filtered images N - S (0&#176;), NE - SW (45&#176;) and E - W (90&#176;) of the OLI panchromatic band 8. The obtained lineaments from automatic and manual extraction were compared against the faults and photo-geological lineaments digitized from the existing geological map of the study area. The extracted lineaments from PC1 OLI and ALOS PALSAR polarizations images showed the best correlation with faults and photo-geological lineaments. The results indicate that the lineaments extracted from HH and HV polarizations of ALOS PALSAR radar data used in this study, with 1499 and 1507 extracted lineaments, were more efficient for structural lineament mapping, as well as the PC1 OLI image with 1057 lineaments.Keywords Remote Sensing . OLI. ALOS PALSAR . ASTER . Kerdous Inlier . Anti Atlas

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A Review of the Application of Remote Sensing Data for Abandoned Agricultural Land Identification with Focus on Central and Eastern Europe

Remote Sensing ◽

10.3390/rs11232759 ◽

2019 ◽

Vol 11 (23) ◽

pp. 2759 ◽

Cited By ~ 6

Author(s):

Tomáš Goga ◽

Ján Feranec ◽

Tomáš Bucha ◽

Miloš Rusnák ◽

Ivan Sačkov ◽

...

Keyword(s):

Remote Sensing ◽

World Literature ◽

Agricultural Land ◽

Remote Sensing Data ◽

Field Research ◽

Radar Data ◽

Expert Assessment ◽

Biomass Estimation ◽

Agricultural Abandonment ◽

Expert Analysis

This study aims to analyze and assess studies published from 1992 to 2019 and listed in the Web of Science (WOS) and Current Contents (CC) databases, and to identify agricultural abandonment by application of remote sensing (RS) optical and microwave data. We selected 73 studies by applying structured queries in a field tag form and Boolean operators in the WOS portal and by expert analysis. An expert assessment yielded the topical picture concerning the definitions and criteria for the identification of abandoned agricultural land (AAL). The analysis also showed the absence of similar field research, which serves not only for validation, but also for understanding the process of agricultural abandonment. The benefit of the fusion of optical and radar data, which supports the application of Sentinel-1 and Sentinel-2 data, is also evident. Knowledge attained from the literary sources indicated that there exists, in the world literature, a well-covered problem of abandonment identification or biomass estimation, as well as missing works dealing with the assessment of the natural accretion of biomass in AAL.

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