Enhancing the Spatial Resolution of Sentinel-2 Images Through Super-Resolution Using Transformer-Based Deep-Learning Models by Alireza Sharifi, Mohammad Mahdi Safari

“…Satellite imagery plays a pivotal role in environmental monitoring, urban planning, and national security. …”
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Monitoring the surface temperature and studying the land use relationship with surface temperature using OLI and TM image sensors (Case study: Meshginshahr city) by musa abedin, Ehsan Ghale, nazfar aghazadeh, maryam mohamadzadeh sheshegaran

“…The main objective of this study is to monitor the surface temperature of the Earth using satellite imagery and a relationship that can have a surface temperature with land use. …”
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Measurement and identification of areas susceptible to flood spreading from the viewpoint of geological formations in Birjand watershed using RS / GIS by Parviz Ziaiian Firouz Abadi, Ayoub Badragh Nejad, Reza Sarli, Mahboub Babaie

“…All of the processes and analyses of data were performed in the GIS atmosphere utilizing the three methods of saw Fuzzy, AHP and Boleyn logic for weighting data such as (gradient, erosion, land application, watershed system, soil, geological fault distribution, quaternary unit, level of underground waters, and satellite imagery) and the potent areas in terms of confronting danger were located. …”
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Determination of Burdur Lake`s Area Changes Using Remote Sensing Techniques by Özümcan Alara Kaya, Gordana Kaplan

“…In the study, object-based classification was made using Landsat-7, Landsat-8, and Sentinel-2 satellite imagery. For the classification, the frequently used normalized water difference index (NDWI) combined with threshold analysis was used for water classification. …”
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Analyzing the hydro-morphological indicators of the Balharoud river with the aim of determining the trend and causes of riverbed change by Tayebeh Kiani, Mohsen Pourbashir Hir

“…In this research, the Balehradud Border River, which forms 62 km from Iran's border with the Republic of Azerbaijan in Ardebil province, be studied based on the substitution approach by studying the hydromorphic indices of the Sinuosity coefficient, bending radius and central angle for the period 1955 and 2016 respectively using the map of Protocol 1/25000 and satellite imagery of ETM. And the indexes were calculated in AutoCAD and Arc maps software. …”
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Investigation of morphology changes in Karun River and its hazards (Case Study: Bandagir to Khorramshahr) by Amir Saffati, EzatAllah ghanavati, Hamid Alipour Dezdouli Asl

“…In this study, with the aim of investigating these changes with satellite imagery, Landsat images for 1990, 2005 and 2018 were prepared and morphological changes were extracted after required processing. …”
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Urban growth dynamics and its influence on land surface temperature in Bhubaneswar metropolitan city: a 1990–2021 analysis by Monashree Panigrahi, Arabinda Sharma

“…It uses Landsat satellite imagery from Thematic Mapper (TM) and Operational Land Imager (OLI) sensors, along with correlation analysis, to assess the spatial and temporal dynamics of LULC and their influence on LST. …”
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Edge computing for detection of ship and ship port from remote sensing images using YOLO by Vasavi Sanikommu, Sai Pravallika Marripudi, Harini Reddy Yekkanti, Revanth Divi, R. Chandrakanth, P. Mahindra

“…In marine security and surveillance, accurately identifying ships and ship ports from satellite imagery remains a critical challenge due to the inefficiencies and inaccuracies of conventional approaches. …”
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DSFA-SwinNet: A Multi-Scale Attention Fusion Network for Photovoltaic Areas Detection by Shaofu Lin, Yang Yang, Xiliang Liu, Li Tian

“…Currently, numerous studies focus on the detection of single-type PV installations through aerial or satellite imagery. However, due to the variability in scale and shape of PV installations in complex environments, the detection results often fail to capture detailed information and struggle to scale for multi-scale PV systems. …”
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Land Use/Land Cover Change and Its Driving Forces in Shenkolla Watershed, South Central Ethiopia by Belayneh Bufebo, Eyasu Elias

“…Unsupervised and supervised classification techniques were employed to get thematic information from satellite imagery. ArcGIS 10.3 and QGIS v 3.0 softwares were used to accomplish the analysis. …”
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Evaluating the accuracy of hyperspectral and multispectral images in wetland cover classification using data mining models (Case study: Shadegan wetland) by Hamid Bagheri, Rahime Rostami

“…Due to the spectral similarity between different plant species of wetlands and plants along the wetlands and agricultural lands, this is faced with problems using multispectral data and hyperspectral data can be very useful in this regard. in this study power of hyperspectral and multispectral sensors in identifying the characteristics of the wetland and the ability of ETM + (2011), Hyperion (2011) and ALI (2011) sensors to study the characteristics of Shadegan wetland during 1390 and different spectral indices with a suitable combination of The satellite imagery bands of these sensors were compared as input to a variety of classification methods including maximum likelihood, minimum distance, neural network and support vector machine. …”
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Automatic Coastline Detection Using Coastsat Toolbox and GIS: A Case Study at Oued-Laou Beach, Morocco by Souiri Smail, Hakkou Mounir, Haddaoui Hatim, Oubdil Soufiane, Lmrimed Nargiss

“…By analyzing publicly available satellite imagery spanning over 30 years, the study generated detailed coastline maps over a 23-year period, revealing significant spatial and temporal variations in shoreline changes. …”
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Diagnosis of Protected Agriculture in Imbabura—Ecuador, Period 2016–2023 by Luis Marcelo Albuja-Illescas, Andrés Manolo Carrión-Burgos, Rafael Jiménez-Lao, María Teresa Lao

“…The aim of this research was to provide a baseline of greenhouse agriculture in Imbabura. Sentinel-2 satellite imagery was used to estimate the spatial distribution of plastic-covered surface area in 2016 and 2023. …”
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Coastal Inlet Analysis by Image Color Intensity Variations: Implications for the Barrier Coast of Ukraine by Ilya V. Buynevich, Oleksiy V. Davydov, Duncan M. FitzGerald

“…Increasingly, remote sensing technologies (aerial and satellite imagery, small unmanned aerial vehicles, etc.) are employed as sources of high-definition spatial databases. …”
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Exploiting the Quantum Advantage for Satellite Image Processing: Review and Assessment by Soronzonbold Otgonbaatar, Dieter Kranzlmuller

“…This article examines the current status of quantum computing (QC) in Earth observation and satellite imagery. We analyze the potential limitations and applications of quantum learning models when dealing with satellite data, considering the persistent challenges of profiting from quantum advantage and finding the optimal sharing between high-performance computing (HPC) and QC. …”
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Tourism-Induced Land Use Transformations, Urbanisation, and Habitat Degradation in the Phu Quoc Special Economic Zone by Can Trong Nguyen, Nigel K. Downes, Asamaporn Sitthi, Chudech Losiri

“…Using multi-temporal Landsat satellite imagery and random forest classification, we quantify LULCCs and assess the environmental consequences of urban expansion on habitat degradation and intensification of the island’s thermal environment, focusing on land surface temperature (LST) changes. …”
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STURM-Flood: a curated dataset for deep learning-based flood extent mapping leveraging Sentinel-1 and Sentinel-2 imagery by Nicla Notarangelo, Charlotte Wirion, Frankwin van Winsen

“…This study introduces the STURM-Flood dataset, a high-quality, open-access, and DL-ready resource for flood extent mapping using Sentinel-1 and Sentinel-2 satellite imagery, combined with ground-truth data from the Copernicus Emergency Management Service. …”
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Effect of Pandemic COVID-19 on Tropical Forest Cover in Small Island: Case Mansinam Island Papua using Google Earth Imagery by Francine Hematang, Denisa Taran, Mutakim, Semuel Erari, Alfando Luas, Descarlo Worabai, Matheus Beljai

“…Using remote sensing and geographic information system technology based on high-resolution satellite imagery from google earth imagery, land cover was observed in 2018, 2020, and 2023. …”
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Border fences threaten movements of large mammals in southwestern China post-COVID-19 pandemic by Jue Lei, Lin Wang

“…To assess the extent of border fences and their impacts on the cross-border movements of mammals, we compiled data from government reports and collected locations through field surveys and visual interpretation of satellite imagery. Our findings indicate that at least 2392 km of border fences were constructed in Yunnan and 517 km in Guangxi, respectively, accounting for 57.74 % and 50.69 % of their national boundaries. …”
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Assessment of the G2 model estimations and comparing it with erosion plots and observed sediment data in the Southern Caspian Sea river basins by Khadijeh Haji, Abdulvahed Khaledi Darvishan, Raoof Mostafazadeh

“…The G2 model input factors were prepared using meteorological data, satellite imagery, topographic, hydrographic and soil variables, and the utilization of GIS-RS techniques. …”
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