satellite 2019


Power and Flow Assignment for 5G Integrated Terrestrial- Satellite Backhaul Networks
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The optimal flow assignment is strongly dependent on the network link capacities, which in turn are determined by the allocation of the available radio resources. In this paper, we consider the holistic design of joint power and flow assignment in the context of Integrated

Satellite chlorophyll concentration as an aid to understanding the dynamics of Indian oil sardine in the southeastern Arabian Sea
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Coastal waters of Kerala, which form an integral part of the Malabar upwelling zone off the southwest coast of India, constitute an important fishing region for small pelagics. Satellite remote sensing data from were used to test the hypothesis that fluctuations in

When floods cross borders, satellite data can help, Eos, 100
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2/16/2019 When Floods Cross Borders, Satellite Data Can Help-Eos disaster were discovered 2 days earlier. Yet the residents who lived downstream many across the border in

Dynamic ocean topography of the northern Nordic seas: a comparison between satellite altimetry and ocean modeling
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The dynamic ocean topography (DOT) of the polar seas can be described by satellite altimetry sea surface height observations combined with geoid information as well as by ocean models. The altimetry observations are characterized by an irregular sampling and

Natural History of a Satellite DNA Family: From the Ancestral Genome Component to Species-Specific Sequences, Concerted and Non-Concerted Evolution
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Satellite DNA (satDNA) is the most variable fraction of the eukaryotic genome. Related species share a common ancestral satDNA library and changing of any library component in a particular lineage results in interspecific differences. Although the general developmental

Classification of Satellite Images Using Perceptron Neural Network
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Image classification is an important part of digital image analysis and is defined as a process of categorizing the pixels into one of the object classes present in the image. As a prerequisite to image classification, a number of processes such as image enhancement

for Modular Satellite Architectures
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Design Solutions For Modular Satellite Architectures This article is made available under terms and conditions as specified in the corresponding

The value of satellite observations in the analysis and short-range prediction of Asian dust
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Asian dust is a seasonal meteorological phenomenon which affects east Asia, and has severe consequences on the air quality of China, North and South Korea and Japan. Despite the continental extent, the prediction of severe episodes and the anticipation of their

The Local Coverage Diagram, A Tool for Satellite Orbit Analysis
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With the local coverage diagram a tool for a longterm survey on frequency and quality of contacts of a near Earth satellite with a point of interest on the Earths surface is realized. It respects different coverage or visibility conditions of a satellite with its ground station

Risk of acute respiratory infection from crop burning in India: estimating disease burden and economic welfare from satellite and national health survey data for
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Background: Respiratory infections are among the leading causes of death and disability globally. Respirable aerosol particles released by agricultural crop-residue burning (ACRB), practised by farmers in all global regions, are potentially harmful to human health. Our

Subgrid variations of the cloud water and droplet number concentration over the tropical ocean: satellite observations and implications for warm rain simulations
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One of the challenges in representing warm rain processes in global climate models (GCMs) is related to the representation of the subgrid variability of cloud properties, such as cloud water and cloud droplet number concentration (CDNC), and the effect thereof on individual

Surface water temperature heterogeneity at subpixel satellite scales and its effect on the surface cooling estimates of a large lake: Airborne remote sensing
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The dynamics of spatial heterogeneity of lake surface water temperature (LSWT) at subpixel satellite scale O (1 m) and its effect on the surface cooling estimation at typical satellite pixel areas O (1 km2) were investigated using an airborne platform. The measurements provide

Numerical Model of Perturbated Earths Satellite Orbit
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The study aimed to develop a two-dimensional numerical model of a perturbed Earths satellite orbit under the influence of the Moon. The first step was to model, numerically, the Earth- satellite orbit. The interaction was assumed to be first order. The basis of the model

A Study on Deep Learning Models for Satellite Imagery
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Abstract Satellite Imagery Scene classification has been receiving a remarkable attention as it plays a vital role in a wide range of applications. Also, there has been a massive growth in Deep learning in many fields such as computer vision and natural language processing. But

Satellite and Ground-based Measurements of XCO2 in a Remote Semi-Arid Region of Australia
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In this study, we present ground-based measurements of column-averaged dry-air mole fractions (DMFs) of CO2 (or XCO2) from an EM27/SUN portable spectrometer, equipped with an automated clam shell cover, taken in a semi-arid region of Australia. We compared

The Suitability of Java for Satellite Applications
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The Java programming language has become widely accepted and popular in many application areas. It is likely that features Java provides allow for the quick and efficient development of applications for use in CubeSats. Java also has many independently

Iridium Satellite Signals: A Case Study in Interference Characterization and Mitigation for Radio Astronomy Observations
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Some sources of radio frequency interference (RFI) are inescapable. While radio astronomers can minimize the effects of many terrestrial sources by placing their telescopes at remote sites, none can escape from RFI generated by satellite transmitters, such as those

of the airGR rainfall-runoff modelling R-package: composite calibration/evaluation criterion and improved snow model to take into account satellite products
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Parsimonious and simple lumped rainfall-runoff models are useful tools for research and engineering. From years of experience, the Hydrology Group at Irstea (Antony) developed the GR models suite. Aiming at providing an open source tool, the team started to develop

SATELLITE IMAGE CLASSIFICATION USING MACHINE LEARNING
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Image classification entails the important part of digital image and has been very essential in the application of remote sensing systems, thus the demand for research to find advanced algorithms and tools to solve problems experienced in classification has shown great

The contribution of Sentinel-2 satellite images for geological mapping in the south of Tafilalet basin (Eastern Anti-Atlas, Morocco)
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Geological mapping in desert, mountainous or densely vegetated areas are sometimes faced with many constraints. Recently several remote sensing methods are used on ASTER or LANDSAT imagery for making that task easier. The aim of this paper is to evaluate the

Processing Satellite Imagery for Decision-Making in Precision Agriculture
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Empowered by geo-locating and sensor-based technologies, precision agriculture brings a data-intensive paradigm into farming. In this spirit, we investigate the role of outlier detection and visualization in decision-making for precision agriculture. We discuss two analysis tasks

Methods for dependability analysis of small- satellite missions
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The use of small-satellites as platforms for fast-access to space with relatively low cost has increased in the last years. In particular, many universities in the world have now permanent hands-on education programs based on CubeSats. These small and cheap platforms are



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