Results 51 to 60 of about 292,655 (287)
Temporal and spatial satellite data augmentation for deep learning-based rainfall nowcasting
The significance of improving rainfall prediction methods has escalated due to climate change-induced flash floods and severe flooding. In this study, rainfall nowcasting has been studied utilizing NASA Giovanni satellite-derived precipitation products ...
Özlem Baydaroğlu, Ibrahim Demir
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Solar Radiation Estimation Using Data Mining Techniques for Remote Areas—A Case Study in Ethiopia
High quality of solar radiation data is essential for solar resource assessment. For remote areas this is a challenge, as often only satellite data with low spatial resolution are available.
Bizuayehu Abebe Worke +2 more
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Spatial Distribution of Tuberculosis in the Western Region of Java Island, Indonesia
Objective: This study aimed to map the spatiotemporal hotspots of tuberculosis (TB) prevalence distribution in the Western Region of Java Island. Material and Methods: To investigate the spatiotemporal pattern of TB prevalence, we standardized TB ...
Tri Bayu Purnama +3 more
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The Penman-Monteith (PM) equation is considered the most accurate method for estimating reference evapotranspiration (ETo); however, its application requires a large amount of data that is not always available.
Apolinario Lujano +5 more
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Fractal-Based Image Encoding and Compression Techniques
In computer science and information theory, data compression, source coding, or bit-rate reduction is the process of encoding digital information using fewer bits than the original representation.
Vasileios Drakopoulos
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Recent Crustal Deformation Based on Interpolation of GNSS Velocity in Continental China
We used the interpolation method of two-dimensional vector velocity field data based on Green’s function to conduct coupled interpolation with a Poisson’s ratio of 0.5 for 1966 horizontal velocity field data from 1999 to 2017 and obtained the uniform ...
Weiwei Bian, Jicang Wu, Weiwei Wu
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Seafloor characteristics can help in the prediction of fish distribution, which is required for fisheries and conservation management. Despite this, only 5%–10% of the world's seafloor has been mapped at high resolution, as it is a time‐consuming and ...
Marcela Montserrat Landero Figueroa +5 more
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Construction of parallel one-dimensional interpolators in C++
Objective. The purpose of this article is to research and develop interpolators in the C++ programming language, including linear, quadratic and cubic interpolators, as well as a one-dimensional RBF interpolator.
F. V. Abilova +2 more
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Comparison of Cloud-Filling Algorithms for Marine Satellite Data
Marine remote sensing provides comprehensive characterizations of the ocean surface across space and time. However, cloud cover is a significant challenge in marine satellite monitoring.
Andy Stock +7 more
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A disposition of interpolation techniques [PDF]
A large collection of interpolation techniques is available for application in environmental research. To help environmental scientists in choosing an appropriate technique a disposition is made, based on 1) applicability in space, time and space-time, 2)
Heuvelink, G.B.M., Knotters, M.
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