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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GIS-based frequency ratio and Shannon entropy modeling for landslide susceptibility mapping: A case study in Kundah Taluk, Nilgiris District, India by Senthilkumar Harithaa, Selvaraj Evany Nithya

“…A comprehensive database of past landslides was compiled using satellite imagery and surveying the study region. In total, 581 landslide locations were identified. …”
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Quantitative Attribution Analysis of the Spatial Differentiation of Gully Erosion in the Black Soil Region of Northeast China by Ranghu Wang, Nan Wang, Yingchao Fan, Huan Sun, Hanpei Fu, Jiuchun Yang

“…In this study, the simulation of gully erosion and its quantitative attribution analysis have been conducted in the Sancha River catchment in Northeast China, based on high-resolution satellite imagery mapping and the geodetector method. A total of 18 indicators in 6 categories, including topography, climate and weather, soil properties, lithology, land use, have been taken into consideration. …”
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Spatial analysis of plankton distribution in Northern Waters of Aceh: An indicator of marine environmental quality by Octavina Chitra, Maghfirah, Lacroix Geneviève, Suciati Nasah, Fajar Muhammad, Syufi Nurul Hidayatul, Haridhi Haekal Azief, Haditiar Yudi

“…Furthermore, to understand the spatial distribution of plankton, plankton abundance was correlated with spectral bands from satellite imagery. The study results indicate spatial variation in plankton abundance in NWA due to the physicochemical parameters of the seawater. …”
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Satellite-derived sandy shoreline trends and interannual variability along the Atlantic coast of Europe by Bruno Castelle, Etiënne Kras, Gerd Masselink, Tim Scott, Aikaterini Konstantinou, Arjen Luijendijk

“…Abstract Monitoring sandy shoreline evolution from years to decades is critical to understand the past and predict the future of our coasts. Optical satellite imagery can now infer such datasets globally, but sometimes with large uncertainties, poor spatial resolution, and thus debatable outcomes. …”
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A Sentinel-2 machine learning dataset for tree species classification in Germany by M. Freudenberg, M. Freudenberg, S. Schnell, P. Magdon

“…The dataset is based on the German National Forest Inventory of 2012 as well as analysis-ready satellite imagery computed using the Framework for Operational Radiometric Correction for Environmental monitoring (FORCE) processing pipeline. …”
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The impact of temporary occupation and hostilities on the water conditions of the North Crimean and Kakhovka Main Canals by K. Borovyk, S. Gapon, I. Pyshnograiev

“…The study utilised satellite imagery from Landsat 8 OLI/TIRS L2 (2013-2015) and Sentinel-2 L1C (2016-2024). …”
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The Detection of Small-Scale Open-Burning Agriculture Fires Through Remote Sensing by Eduardo R. Oliveira, Bárbara T. Silva, Diogo Lopes, Sofia Corticeiro, Fátima L. Alves, Leonardo Disperati, Carla Gama

“…This study evaluates both active fire detections and post-fire burned area estimations, using high-resolution satellite imagery to overcome the limitations associated with the small size and low intensity of these fires. …”
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