Features of Italian large dams and their upstream catchments by G. Evangelista, P. Mazzoglio, D. Ganora, F. Pianigiani, P. Claps

“…The data used to create this dataset are partially sourced from the General Department of Dams and Hydro-Electrical Infrastructures as well as from the processing of updated and standardized grid data. These include a DEM from the Shuttle Radar Topography Mission, national-scale monthly maps of hydrological budget components, land cover and vegetation index data from the Copernicus Land Monitoring Service as well as high-resolution maps of soil particle size fractions. …”
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Seismicity of the south of the Russian Far East in 2024 by Safonov, Dmitry A., Semenova, Elena P., Kostylev, Dmitry V., Shchukin Mikhail Anatolyevich

“…The information on some of the most significant and interesting for detailed study earthquakes is given. …”
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Inferring Traffic Patterns of Dhaka City: A Spatio-Temporal Analysis Over a Year by Moshiur Rahman Md., Nower Naushin

“…Our study addresses the scarcity of long-term spatiotemporal analysis for traffic congestion in developing megacities, focusing on Dhaka, the fifth most congested city. Utilizing big data analytics with a sample of 350,400 records from Google Maps over a year, we identify temporal patterns, spatial distribution, and recurrent congestion patterns. …”
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Efficient Detection of Floating Algal Blooms Using Sentinel-2 Imagery: The Introduction of the SFABI Index by M. Saygi, I. Colkesen, M. Celen

“…Algal blooms are among the most serious challenges affecting inland waters, disrupting ecosystems, degrading water quality, and posing risks to human activities. …”
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Peanut Value Chain Development: The Case of Lower Lake Victoria Basin of Kenya by George Okoth Odunga, John K. Bidzakin, Philip Okaka, Sheila Okoth, Beneah Mutsotso, Anil R. Graves

“…Peanut is Kenya’s second most important legume after beans, primarily grown in the Nyanza and Western regions. …”
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Feasibility of estimating the percentage of desert pavement using Tasseled Cap Transformation indices extracted from Landsat 8 images by farzaneh Fotouhi Firoozabad, Atefeh jebali

“…The initial process involved performing pre-processing operations on the satellite image, including radiometric and geometric corrections, to prepare it for processing operations. …”
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Deep learning identification of reward-related neural substrates of preadolescent irritability: A novel 3D CNN application for fMRI by Johanna C. Walker, Conner Swineford, Krupali R. Patel, Lea R. Dougherty, Jillian Lee Wiggins

“…Regression activation mapping (RAM) was employed to extract feature maps of brain regions most predictive of irritability severity from the model. …”
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An XAI Approach to Melanoma Diagnosis: Explaining the Output of Convolutional Neural Networks with Feature Injection by Flavia Grignaffini, Enrico De Santis, Fabrizio Frezza, Antonello Rizzi

“…The gradient-weighted class activation mapping and layer-wise relevance propagation methods were used to generate heat maps, highlighting the image regions and pixels that contributed most to the final prediction. …”
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A Comparative Study of K-means Clustering Algorithms Using Euclidean and Manhattan Distance for Climate Data. by Bakhshan Hamad

“…Euclidean distance yielded lower WCSS, while interactive maps revealed clearer cluster distributions for most attributes compared to Manhattan distance. produced the lowest within-cluster sum of squared errors compared to the Manhattan distance.…”
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Transparency of social-economic determinants in developing the efficient public healthcare system by Svitlana Kolomiiets, Anna Buriak, Maksym Fritsak

“…It engages wide functional possibilities of smart text processing, which generates and visualises joint networks of the most significant terms and notions in a certain branch. …”
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A facet-based numerical model to retrieve ice sheet topography from Sentinel-3 altimetry by J. Aublanc, F. Boy, F. Borde, P. Féménias

“…These divergences are most likely induced by the terrain characteristics (slope and roughness) and snow volume scattering affecting Ku-band altimetry measurements. …”
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Improving Road Semantic Segmentation Using Generative Adversarial Network by Arnick Abdollahi, Biswajeet Pradhan, Gaurav Sharma, Khairul Nizam Abdul Maulud, Abdullah Alamri

“…Road network extraction from remotely sensed imagery has become a powerful tool for updating geospatial databases, owing to the success of convolutional neural network (CNN) based deep learning semantic segmentation techniques combined with the high-resolution imagery that modern remote sensing provides. However, most CNN approaches cannot obtain high precision segmentation maps with rich details when processing high-resolution remote sensing imagery. …”
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Monitoring Fast-Growing Megacities in Emerging Countries Through the PS-InSAR Technique: The Case of Addis Ababa, Ethiopia by Eyasu Alemu, Mario Floris

“…The main aim of this study is to identify and monitor the areas most affected by subsidence in a context, such as that of many areas of emerging countries, characterized by the lack of geological and technical data. …”
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Spatially distributed effects of mental exhaustion on resting-state FMRI networks. by Fabrizio Esposito, Tobias Otto, Fred R H Zijlstra, Rainer Goebel

“…Significant changes in the most exhausted state were observed in the early visual processing and the anterior default mode networks (enhancement) and in the fronto-parietal executive networks (suppression), suggesting that mental exhaustion is associated with a more idling brain state and that internal attention processes are facilitated to the detriment of more extrinsic processes. …”
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Rain-Induced Shallow Landslide Susceptibility Under Multiple Scenarios Based on Effective Antecedent Precipitation by Chuanmei Cheng, Ying Li, Dong Zhu, Yu Liu, Yongqiu Wu, Degen Lin, Hao Guo

“…However, due to the lag nature of this process, landslides usually do not occur on the day of heavy rainfall. …”
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Applications of Snow-Covered Areas from Unoccupied Aerial Systems (UAS) Visible Imagery: A Demonstration in Southeastern New Hampshire by Jeremy M. Johnston, Jennifer M. Jacobs, Adam Hunsaker, Cameron Wagner, Megan Vardaman

“…Remote sensing observations of snow-covered areas (SCA) are important for monitoring and modeling energy balances, hydrologic processes, and climate change. For an agricultural field, we produced 12 snow cover maps from UAS imagery during an approximately 3-week-long spring snowmelt period. …”
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Evaluation of Landslide Susceptibility Zonation applying Fuzzy Gamma Operators in Taleghanroud Watershed of Qazvin Province by Jamal Mosaffaie, Amin Salehpour Jam, Faramarz Sarfaraz, Samad Shadfar

“…Landslide is one of the most destructive types of erosion on slopes, which causes a lot of financial and human losses. …”
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Structural modelling of subsurface geologic structures in Anambra and adjoining Bida Basins using aeromagnetic data: Implications for mineral explorations.

“…Four aeromagnetic data sheets (246 (Kabba), 247 (Lokoja), 266 (Auchi), and 267 (Idah)) were acquired through purchase, assemblage, analysis, and interpretation using integrated processing techniques of Euler deconvolution, analytical signal (AS), source parameter imaging (SPI), and 3D magnetic inversion model. …”
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Fully-Automated μMRI Morphometric Phenotyping of the Tc1 Mouse Model of Down Syndrome. by Nick M Powell, Marc Modat, M Jorge Cardoso, Da Ma, Holly E Holmes, Yichao Yu, James O'Callaghan, Jon O Cleary, Ben Sinclair, Frances K Wiseman, Victor L J Tybulewicz, Elizabeth M C Fisher, Mark F Lythgoe, Sébastien Ourselin

“…We incorporate an accessible approach for simultaneously scanning multiple ex vivo brains, requiring only a 3D-printed brain holder, and novel image processing steps for their separation and orientation. …”
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Multi-criteria suitability analysis for neglected and underutilised crop species in South Africa. by Hillary Mugiyo, Vimbayi G P Chimonyo, Mbulisi Sibanda, Richard Kunz, Luxon Nhamo, Cecelia R Masemola, Caroline Dalin, Albert T Modi, Tafadzwa Mabhaudhi

“…This study aimed to develop land suitability maps for selected NUS [sorghum, (Sorghum bicolor), cowpea (Vigna unguiculata), amaranth and taro (Colocasia esculenta)] using Analytic Hierarchy Process (AHP) in ArcGIS. …”
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