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EN
The city of Eljebha, Morocco, and its surroundings have always been affected by instability and slope failure, both natural and man-made. The Neogene conglomeratic clay formations, which form most of the city of Constantine, are extremely sensitive to the presence of water, which makes them susceptible to landslides. Therefore, to preserve the environment and endangered species, remote sensing has been designed to facilitate the monitoring and supervision of natural hazards and threats. The present paper deals with the detection of stable points by the new technique of permanent dispersers PSInSAR, as well as the subsidence rate with an accuracy in mm/year in the area of El Jebha in Morocco from 2016 to 2018 using Sentinel 1 complex SLC data in IW mode.
2
Content available remote Mud volcano as a feature of emergence in Caspian Sea
EN
An eruption occurred on Dashli Island, 75 km from Baku, on 4th of July 2021, at 21:51 local time. The island is known as the mud volcano and has a history of eruption. We suspected that mud volcano eruption causes emergence on this island. Thus, the effect of this 2021 eruption is investigated using a remote sensing technique. Processed Sentinel-1 and 2 images are employed for this aim. We considered pre- and post-eruption scenarios to evaluate the effect of this eruption on the island. Satellite image classification is used to calculate shoreline changes. Results show that Dashli Island with an area of about 8.55 ha before eruption is now expanded to about 21.8 ha (about 155% increase). The DInSAR method is used to estimate the ground displacement of the island. According to the results, a two-year-displacement before the eruption was between 0.18 and 0.2 m, while a five-month-displacement after the eruption is estimated to be between 0.32 and 0.4 m. Considering ground displacement pre- and post-eruption we estimated 62000 m3 land gaining, due to emergence. We concluded that mud volcano can be counted as a feature of emergence in Dashli Island
EN
Land surface displacement in the area of geothermal fields observed by Satellite Radar Interferometry
EN
Vietnam is an Asian country with hot and humid tropical climate throughout the year. Forests account for more than 40% of the total land area and have a very rich and diverse vegetation. Monitoring the changes in the vegetation cover is obviously important yet challenging, considering such large varying areas and climatic conditions. A traditional remote sensing technique to monitor the vegetation cover involves the use of optical satellite images. However, in presence of the cloud cover, the analyses done using optical satellite image are not reliable. In such a scenario, radar images are a useful alternative due to the ability of radar pulses in penetrating through the clouds, regardless of day or night. In this study, we have used multi temporal C band satellite images to monitor vegetation cover changes for an area in Dau Tieng and Ben Cat districts of Binh Duong province, Mekong Delta, Vietnam. With a collection of 46 images between March 2015 and February 2017, the changes of five land cover types including vegetation loss and replanting in 2017 were analyzed by selecting two cases, using 9 images in the dry season of 3 years 2015, 2016 and 2017 and using all of 46 images to conduct Random Forest classifier with 100, 200, 300 and 500 trees respectively. The result in which the model with nine images and 300 trees gave the best accuracy with an overall accuracy of 98.4% and a Kappa of 0.97. The results demonstrated that using VH polarization, Sentinel-1 gives quite a good accuracy for vegetation cover change. Therefore, Sentinel-1 can also be used to generate reliable land cover maps suitable for different applications.
EN
Open-pit or underground mining both causes environmental impacts such as air, soil, water pollution, etc., especially causing land subsidence of mines and surrounding areas. Research on mining subsidence is often carried out by field survey, the advantage of this method is high accuracy, but it is usually applied in a small scale. Recently, with the development of radar technology, there have been many studies applying this Radar Interferometry technique to determine surface subsidence over a wide range with a few millimeters accuracy. In this paper, 24 Sentinel-1 images were used as input materials, using the Permanent Scatter Interferometry (PSInSAR) method to determine the land subsidence of the Tan My-Thuong Tan quarries and surrounding areas. The results were compared with the average annual subsidence of 20 surveying points using GNSS technology from 1/2018 to 3/2020. The correlation coefficient of annual average land subsidence of the two methods is 0.83, showing the feasibility of applying InSAR Sentinel-1 data processed by PSInSAR method for determining mine surface deformation and surrounding area.
PL
Zarówno górnictwo odkrywkowe, jak i podziemne powodują osiadanie powierzchni terenu górniczego i na otaczających obszarach. Badania osiadań górniczych są często prowadzone metodą monitorowania punktów stabilizowanych na liniach obserwacyjnych. Zaletą tej metody jest duża dokładność, ale najczęściej stosowana jest na niewielkim obszarze. Satelitarna interferometria radarowa InSAR jest teledetekcyjną techniką służącą do pozyskiwania danych osiadań powierzchni terenu w określonym przedziale czasu. Odpowiednie opracowanie dwóch radarogramów pozwala na uzyskanie izolinii okresowych niecek obniżeniowych na dużym obszarze. W artykule, przedstawiono wyniki zastosowania 24 obrazów satelitarnych Sentinel-1 wykorzystując metodę Permanent Scatter Interferometry (PSInSAR) do określenia osiadań powierzchni terenu górniczego kamieniołomu Tan My-Thuong Tan i okolic. Wyniki porównano ze średnimi rocznymi osiadaniami 20 punktów pomiarowych wykorzystujących technologię GNSS od 1/2018 do 3/2020. Współczynnik korelacji średnich rocznych osiadań gruntów obu metod wynosi 0,83, co wskazuje na możliwość wykorzystania danych InSAR Sentinel-1 przetworzonych metodą PSInSAR do wyznaczenia osiadań powierzchni terenu kopalni i otaczającego ją obszaru.
EN
The DInSAR analysis was performed for mapping surface deformation and displacement associated with the 6.5 magnitude Botswana earthquake of 3 April 2017 using Sentinel 1 data and SNAP. The analyses involved: coregistration of SAR images, interferogram formation, debursting, merging of sub swaths, topographic phase removal, phase filtering, phase unwrapping, orthorectification and calculation of vertical displacement for two situations (unmasked and masked with a layer of coherence ≥0.6). The vertical displacement for the unmasked situation ranged from −122 mm to +136 mm whereas in the masked layer it ranged from −84 mm to +122 mm. Negative surface deformation (subsidence) is seen in the epicentre region and eastern, north eastern, northern areas of the image whereas major positive surface deformations (uplift) are seen in the south western, western and north western corner part. Comparison of displacements with geology revealed that major deformation occurred in the Karoo basalts and lesser surface deformation has occurred in the Lebung Group rocks of the northern, NE and SW region. The elongated shape of deformation near the epicentre and positive vertical displacement seen towards the SW of the epicentre and negative vertical displacement seen towards NE of the epicentre reveals that the region has undergone uplifting and subsidence on either side of the area close to the epicentre (similar to faulting in a NW or SE direction). The boundaries of the uplift and subsidence regions inferred as long lineaments were digitised as faults. Comparison of the deformation with existing seismotectonic map revealed the existence of some north westerly faults seen in the region.
EN
This article applies radar interferometry technologies implemented in the ENVI SARscape and SNAP software environment provided by the processing of data from the Sentinel-1 satellite. The study was carried out based on six radar images of Sentinel-1A and Sentinel -1B taken from September 2017 until February 2018 with an interval of one month and on the radar-module of the already mentioned SNAP software. The main input data for solving the considered problem are radar images received from the satellite Sentinel-1B on the territory of Stebnyk-Truskavets for six months with an interval of one month. Monitoring of the Earth’s surface using radar data of the Sentinel-1A with a synthesized aperture is implemented with the application of interferometric methods of Persistent Scatterers and Small baselines interferometry for estimating small displacements of the Earth’s surface and structures. The obtained quantitative and qualitative indicators of monitoring do not answer the processes that take place and lead to vertical displacements the six months but do provide an opportunity to assess the extent and trends of their development. The specification in each case can be accomplished by ground methods, which greatly simplify the search for sites with critical parameters of vertical displacements which can have negative consequences and lead to an emergency.
PL
W artykule, na przykładzie Kopalni Węgla Brunatnego „Turów”, zademonstrowano możliwości wykorzystania satelitarnej interferometrii radarowej w badaniach deformacji powierzchni w odkrywkowym górnictwie węgla brunatnego. Przedstawiono metodykę opracowania danych SAR (ang. Synthetic Aperture Radar) pochodzących z satelity Sentinel-1 Europejskiej Agencji Kosmicznej technikami małych baz (SBAS) oraz interferometrii różnicowej (DInSAR). Na podstawie ich wyników określono stan geometryczny powierzchni terenu górniczego w dłuższym – rok (22.11.2015 – 11.04.2016) oraz w krótszym okresie – dwa tygodnie (22.11.2015 – 4.12.2015). Wyznaczone przemieszczenia w linii obserwacji satelity (ang. Line of Sight, LOS) przedstawiono w sposób graficzny na mapach i wykresach. Przedyskutowano przydatność interferometrii satelitarnej w badaniach deformacji powierzchni otoczenia odkrywkowych kopalni węgla brunatnego jako obserwacji komplementarnych dla pomiarów geodezyjnych realizowanych przez służby miernicze zakładu górniczego.
EN
In the article, application of satellite radar interferometry in studies of ground surface deformation in open pit brown coal mining have been demonstrated on the case study of KWB “Turów” mine. Methodology of Synthetic Aperture Radar (SAR) Sentinel-1 ESA satellite mission data processing with small base (SBAS) and differential (DInSAR) interferometric techniques from has been presented. Based on these results geometrical condition of mining ground surface has been determined for a longer, one year (22.11.2015 – 11.04.2016) and shorter, two week (22.11.2015 – 4.12.2015) periods. The displacements calculated in the satellite’s Line of Sight (LOS) have been presented graphically on maps and graphs. Application of satellite interferometry in studies of ground surface deformations in areas of open pit brown coal mining as a data source complementary and augmenting geodetic measurements conducted by mine surveyors has been discussed.
PL
W artykule przedstawiono zmiany powierzchni terenu zaistniałe w obszarze górniczym Rudna między 28 listopada a 10 grudnia 2016 r. Zmiany zarejestrowano na interferogramie różnicowym pozyskanym ze scen najnowszego satelity radarowego Sentinel-1. Interferogram jest obrazem rastrowym, będącym złożeniem dwóch scen radarowych, na którym jest przedstawiona różnica faz odbitego sygnału. Różnica ta odzwierciedla zmiany zaistniałe na powierzchni terenu w postaci prążków interferometrycznych, które można interpretować jako kolejne warstwice zmian morfologii terenu. W badanym okresie zidentyfikowano zmiany rzędu 3 cm. Wszystko wskazuje na to, że były one związane ze wstrząsem sejsmicznym z dnia 29 listopada, co zostało potwierdzone przez porównanie lokalizacji epicentrum zjawiska i wystąpienia deformacji terenu.
EN
The article presents surface deformations and changes in the Rudna mining areas, which occured between 28 November and 10 December 2016. These changes were recorded on the radar differential interferogram derived from the scenes of the ESA radar satellite Sentinel-1. The interferogram is a raster image that is a combination of two radar scenes, showing the phase difference of the reflected microwave signal. This difference reflects changes occurring on the earth surface in the form of interferometric stripes called “fringes”. They are interpreted as contours of changes in earth morphology. During the analyzed period, 3-cm variations were identified. All indications show that they were related to the November 29 seismic shock, which was confirmed by comparing the location of the earthquake epicentre with the recorded fringes.
EN
As a tool for high precision deformation monitoring in broader areas, interferometric (In-SAR) time series of space-born Synthetic aperture radar (SAR) imagery are used. Nowadays, ERS, Envisat archives and Sentinel-1 images are open for the public to analyse slow moving landslides activated between 1990 and 2017. Since Sentinel-1 satellites are considered to be the workhorse of EO by the ESA during next decades, it is important to assess its applicability in landslide monitoring and mapping. In this paper, the southern part of Dunaszekcső village was analysed with PSI interferometric stacking algorithm, using SAR imagery. The advantages and limitations of the applied interferometric stacking techniques and sensors have been analysed, such as the movement history of the test site between 1992 and 2017. It was proven that Sentinel-1 PSI scatterers far exceeds the spatial coverage obtained by earlier sensors. Two orbital geometries of Sentinel-1 enabled larger spatial coverage and extract 2D displacements. The comparison of the two geometries, however, was only possible for small surfaces in the area of interest. The displacement data in the central part of the study site indicate the subsidence of the sliding block along the escarpment and in the east its movement towards the Danube. This displacement then triggered the uplift of the floodplain edges, or generated a slight eastward displacement.
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