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In this work, we propose a geodetic model for the seismic sequence, with doublet earthquakes, that occurred in Bandar Abbas, Iran, in November 2021. A dataset of Sentinel-1 images, processed using the InSAR (Interferometric Synthetic Aperture Radar) technique, was employed to identify the surface deformation caused by the major events of the sequence and to constrain their geometry and kinematics using seismological constraints. A Coulomb stress transfer analysis was also applied to investigate the sequence's structural evolution in space and time. A linear inversion of the InSAR data provided a non-uniform distribution of slip over the fault planes. We also performed an accurate relocation of foreshocks and aftershocks recorded by locally established seismographs, thereby allowing us to determine the compressional tectonic stress regime affecting the crustal volume. Despite the very short time span of the sequence, our results clearly suggest that distinct blind structures that were previously unknown or only suspected were the causative faults. The first Mw 6.0 earthquake occurred on an NNE-dipping, intermediate-angle, reverse-oblique plane, while the Mw 6.4 earthquake occurred on almost horizontal or very low-angle (SSE-dipping) reverse segments with top-to-the-south kinematics. The former, which cut through and displaced the Pan-African pre-Palaeozoic basement, indicates a thick-skinned tectonic style, while the latter rupture(s), which occurred within the Palaeozoic–Cenozoic sedimentary succession and likely exploited the stratigraphic mechanical discontinuities, clearly depicts a thin-skinned style. [ABSTRACT FROM AUTHOR]

T he expansion of urbanization and unbalanced urban growth has attracted the attention of many urban planners and decision makers to the issues and consequences of urban population growth. In general, monitoring how urban areas are developed on a large scale is very important in order to plan urban development. However, in most cases, the lack of basic information in this area, especially in developing countries is one of the main obstacles to achieve this. With the development of human civilization and urbanization, the demand for artificial light has increased and this growth will continue. Found. Due to its lack of direct impact on daily life, light pollution has remained largely unknown and has rarely been studied. In this regard, the role of remote sensing techniques and data in identifying changes in the physical development of cities and changes in the amount of light is clearer than other methods. Using VIIRS satellite imagery, other satellite, digital and GIS data can measure and measure the physical growth of cities as well as the spatial and temporal distribution and extent of this type of pollution, and can even manage the risk of this pollution and Reach zoning. High-risk and dangerous areas. In this study, NPP images, travel time layer of Landsat 7 and 8 images have been used, which have been analyzed with the help of remote sensing and GIS techniques. The time frame considered in this study is 2012 to 2020. [ABSTRACT FROM AUTHOR]