satellite IEEE PAPERS AND PROJECTS-2020



A satellite is an object in space that orbits or circles around a bigger object. There are two kinds of satellites: natural (such as the moon orbiting the Earth) or artificial (such as the International Space Station orbiting the Earth)



Diagnosing mechanisms of ocean carbon export in a satellitebased food web model
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The net primary productivity (NPP) of marine phytoplankton is∼ 50 Pg C year− and roughly 10 20% of this NPP is exported out of the surface ocean as sinking particulate organic carbon (POC). Numerous mechanisms are hypothesized to control POC export out

Merging regional and global aerosol optical depth records from major available satellite products
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Satellite instruments provide a vantage point for studying aerosol loading consistently over different regions of the world. However, the typical lifetime of a single satellite platform is on the order of 5 15 years; thus, for climate studies, the use of multiple satellite sensors should

Satellite Precipitation Measurement
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This book is published 13 years after the book Measuring Precipitation from Space: 4020-5835-6), but it is not a revised edition of the previous. It is a new book that aims to

Hybrid-Precision Arithmetic for Numerical Orbit Integration towards Future Satellite Gravimetry Missions
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The precision of numerical orbit integration is crucial in precise orbit determination and gravity field recovery, especially in the context of future satellite gravimetry missions where nanometer-level inter- satellite measurements are provided by laser ranging interferometer

Wide-swath altimetric satellite data assimilation with correlated-error reduction
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For decades now, satellite altimetric observations have been successfully integrated in numerical oceanographic models using data assimilation (DA). So far, sea surface height (SSH) data were provided by one-dimensional nadir altimeters. The next generation Surface

Estimating adoption and impacts of agricultural management practices in developing countries using satellite data. A scoping review
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Abstract Development and dissemination of sustainable practices are key to enhance agricultural productivity in developing countries and to curtail potential negative externalities. Rigorous adoption/impact evaluations provide valuable lessons to enhance

Climate disturbance impact assessment in West Africa: evidence from field survey and satellite imagery analysis
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Extreme drought events from climate disturbances are weakening livelihood and limiting agriculture and livestock production in the Sahel region. The lack of relevant information to anticipate coping measures has exacerbated impacts leading to climate adaptation failure in

Inter- satellite link enhanced orbit determination for BeiDou-3
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The third generation of the BeiDou navigation satellite system (BDS-3) is a global navigation system, and is expected to be in full operation by 2020. High-precision orbits are a precondition for BDS-3 to provide a highly accurate service, which needs a global trackingWe describe and discuss the preprocessing and calibration steps applied to the magnetic data measured by the three platform magnetometers on-board the CryoSat-2 satellite . The calibration is performed by comparing the magnetometer sensor readings with magnetic

Assessing the Ecological Quality of Nanjing during Its Urbanization Process by Using Satellite Meteorological, and Socioeconomic Data
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Assessing the ecological status of different districts within a city undergoing urbanization is challenging given their complex surface types and fast pace of development. In this study, we utilized satellite data obtained from Landsat 5/TM (Thematic Mapper) and Landsat 8/OLI The Earths planetary albedo (PA) has an essential impact on the global radiation budget. Based on 14 years of monthly data from the Clouds and the Earths Radiant Energy System energy balanced and filled (CERES-EBAF) Ed4. 1 dataset and atmosphere-only simulations

Towards objective identification and tracking of convective outflow boundaries in next-generation geostationary satellite imagery.
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Sudden wind direction and speed shifts from outflow boundaries (OFBs) associated with deep convection significantly affect weather in the lower troposphere. Specific OFB impacts include rapid variation in wildfire spread rate and direction, the formation of convection Purpose This paper reviews the most recent literature related to the use of remote sensing (RS) data in wildland fire management. Recent Findings Studies dealing with pre-fire assessment, active fire detection, and fire effect monitoring are reviewed in this paper. The Common approaches currently used to monitor forest phenology include direct field observation and indirect approaches such as satellite remote sensing and carbon flux measurements. However, differences in both temporal and spatial scales of these methods

Deep feature extraction and motion representation for satellite video scene classification
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Satellite video scene classification (SVSC) is an advanced topic in the remote sensing field, which refers to determine the video scene categories from satellite videos. SVSC is an important and fundamental step for satellite video analysis and understanding, which High-resolution satellite imaging represents a potentially effective technique to monitor cyclone-caused environmental damage and recovery over large areas at a high spatial scale. This study utilized a 10-m resolution Sentinel satellite image series to document

Financing prevention, testing and treatment of hepatitis in the context of Universal Health Coverage: report from a satellite meeting at the Replenishment
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Globally, WHO estimates that 257 million people were living with chronic HBV infection, and 71 million people with chronic HCV infection in Most viral hepatitis deaths are due to cirrhosis and hepatocellular carcinoma secondary to chronic HBV and HCV infectionsAgriculture is an important source of livelihood. Crop classification has become important for precision agriculture and helps making many decisions for crop production. However, its challenging to achieve that precision in this field. Remote Sensing helps to achieve that crop Periodic bathymetry surveys are essential to provide data to keep navigation charts updated, obtain insights into water body bottom dynamics and processes, and for hydrodynamic modelling. Frequent bathymetry monitoring has become particularly important in a time of

Carrier and Power Assignment for Flexible Broadband GEO Satellite Communications System
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Current multi-beam GEO satellite systems operate under a limited frequency reuse configuration and considering uniform power assignment across beams. The latter has been shown to be inefficient in matching the geographic distribution of the traffic demand. In this Development of satellite remote sensing data has provided a unique opportunity to improve our understanding of Earth and its hydrological processes. This is especially of interest due to diverse types of satellite platforms with various measurement sensors offering vast

Turkish glacier inventory and classification from high-resolution satellite data
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In view of the rapid and accelerating glacier retreat observed worldwide, the creation of an updated glacier inventory is fundamental to understand the glacier changes. Here we present the Turkish glacier inventory based on recent high-resolution satellite imagesThe storage heat flux ( QS) is the net flow of heat stored within a volume that include the air, trees, buildings and ground. Given the difficulty of measurement of this important and large flux in urban areas, we explore the use of Earth Observation (EO) data. EO surface Air temperatures in urban environments are usually obtained from sparse weather stations that provide limited information with regard to spatial patterns. Effective methods that predict air temperatures (Tair) in urban areas are based on statistical models which utilize remotelyThere is an urgent need for high-quality and high-spatial-resolution hourly precipitation products around the globe, including the UK. Although hourly precipitation products exist for the UK, these either contain large errors, or are insufficient in spatial resolution. An efficient

Satellite images show Iran has built mass graves amid coronavirus outbreak
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The pictures, first published by the New York Times, show the excavation of a new section in a cemetery on the northern fringe of Irans holy city in late February, and two long trenches dug, of a total length of 100 yards, by the end of the month. They confirm the worst fears

Flood Inundation Mapping and Impact Assessment Using Multi-Temporal Optical and SAR Satellite Data: a Case Study of Flood in Darbhanga District, Bihar
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Flooding is a recurrent hazard in east Gangetic plains, largely on account of natural factors that pose risks to life and property. Bagmati and Burhi Gandak rivers draining parts of North Bihar causes substantial flooding owing to higher rainfall. This comprehensive study was

Inland harmful cyanobacterial bloom prediction in the eutrophic Tri An Reservoir using satellite band ratio and machine learning approaches
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Abstract In recent years, Tri An, a drinking water reservoir for millions of people in southern Vietnam, has been affected by harmful cyanobacterial blooms (HCBs), raising concerns about public health. It is, therefore, crucial to gain insights into the outbreak mechanism of

Prospective study on the potential use of satellite data for disaster prevention, preparedness, and mitigation in Poland
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Considering climate change, the risk of natural disasters requires a comprehensive approach on the part of all entities dealing with crisis management. Despite the advanced technologies available to predict weather phenomena, it is often unmanageable to take

Progress in satellite formation flight control using differential aerodynamic forces made at the Institute of Space Systems (IRS)
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This paper gives a comprehensive summary of the progress in the field of satellite formation flight control via differential aerodynamic forces made at the Institute of Space Systems of the University of Stuttgart. The research effort consists of two different approaches which are Large and comparatively compact European cities such as Bucharest and Leipzig struggle with considerable urban heat island (UHI) effects characterized by heat and drought together with high concentrations of air pollutants (NO SO O CO 2). However, a

The effect of topographic correction on canopy density mapping using satellite imagery in mountainous area
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One of the main factors contributing to radiometric distortion on remote sensing data is a topographic effect, but it can be reduced by applying the topographic correction. This study identifies the effect of topographic correction on canopy density mapping in the MenorehSatellite altimetry has been widely used to determine surface elevation changes in polar ice sheets. The original height measurements are irregularly distributed in space and time. Gridded surface elevation changes are commonly derived by repeat altimetry analysis High-precision and high-resolution gravity fields can be derived from multi-source satellite altimeter data. A gravity anomaly model around the South China Sea (SCSGA) V1. 0 on a 1 1 grid is established from sea surface heights (SSHs) of several geodetic missions (GMs) Nowadays, optimization has become a brand methodology for different applications. One of the most promising fields for application of optimization is the image processing field, especially image fusion. A new effective deterministic optimization technique is the modifiedThe First Fengyun Satellite International User Conference, sponsored by the China Meteorological Administration (CMA) and China National Space Administration (CNSA), took place during 15 17 November in Haikou, Hainan Province, China. The purpose

Satellitebased remote sensing data set of global surface water storage change from 1992 to 2018
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The recent availability of freely and openly available satellite remote sensing products has enabled the implementation of global surface water monitoring at a level not previously possible. Here we present a global set of satellitederived time series of surface water

Using Daily Observations from Planet Labs Satellite Imagery to Separate the Surface Deformation between the 4 July 6.4 Foreshock and 5 July 7.1 Mainshock
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Abstract On 4 July 201 the Ridgecrest earthquake sequence began with a series of foreshocks including an M w 6.4 event near Searles Valley, California. This was then followed 34 hr later by an M w 7.1 mainshock located just 15 km to the north, with the In this paper, the contact control problem of a space robot to grasp a non-cooperative satellite is investigated in detail, and a new capture control strategy is proposed. Firstly, the dynamic equation of the robot system is derived based on the multibody dynamics theory

Groundwater storage change estimation using grace satellite data in Indus Basin
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All forms of water play a vital role in human sustainability on earth but due to unique nature groundwater got special importance. It is assumed that GW is safest among all forms of water because many soil layers filtered and cleaned the GW from many contaminations

Accuracy assessment of change detection algorithm for satellite imagery in support of interpretation of nuclear activities
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JJ Han, NK Kima Transactions of Korea journal-home.s3.ap-northeast-2 In the field of nuclear nonproliferation, remote monitoring and on-site inspection are conducted to ensure that nuclear energy is used for peaceful purposes. In this course of implementation, satellite information is being used to establish a site inspection plan, to

Evaluation of soil moisture from CCAM-CABLE simulation, satellitebased models estimates and satellite observations: a case study of Skukuza and Malopeni
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Reliable estimates of daily, monthly and seasonal soil moisture are useful in a variety of disciplines. The availability of continuous in situ soil moisture observations in southern Africa barely exists; hence, process-based simulation model outputs are a valuable source of The importance of having high levels of reliability in Global Navigation Satellite Systems (GNSS) signals has increased gradually in recent years. Among other factors, evaluating the available power and its spatial characteristics at the user location is a key task as part of

Nominal definition of satellite constellations under the Earth gravitational potential
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This work focuses on the definition of satellite constellations whose secular relative distributions are invariant under the perturbation produced by the Earth gravitational potential. This is done by defining the satellite distribution directly in the Earth-Centered

Hydro-climatology study of the Ogoou River basin using hydrological modeling and satellite altimetry
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Hydrological models are important tools for the simulation of water storage and hydrological fluxes in large basins and complex river systems. The hydrological models can compensate the lack of observed data in ungauged basins. In this study, the hydrological model of large

Satellite Tracking Can Inform Population-Level Dispersal to Foraging Grounds of Post-nesting Kemps Ridley Sea Turtles
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Understanding how populations are distributed spatially can be an effective tool for conservation and management planning. This is especially true for threatened species of mobile marine megafauna, which can use vast expanses of the ocean as foraging and

The impact of improved satellite retrievals on estimates of biospheric carbon balance.
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The Orbiting Carbon Observatory 2 (OCO-2) is NASAs first satellite dedicated to monitoring CO2 from space and could provide novel insight into CO2 fluxes across the globe. However, one continuing challenge is the development of a robust retrieval algorithm: an estimate ofThe amount and distribution of precipitation plays a vital role in the management of water resources, agriculture and floodrisk preparedness. Unfortunately, Zambia like many other developing countries is a highly data-scarce country with few and unevenly distributed Satellite data of aerosol optical depths (AODs) from the moderate resolution imaging spectroradiometer (MODIS) and carbon monoxide (CO) columns from the measurements of pollution in the troposphere (MOPITT) were collected for the study in Northern Thailand

Accuracy of empirical satellite algorithms for mapping phytoplankton diagnostic pigments in the open ocean: A supervised learning perspective
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Stock and Subramaniam Empirical Diagnostic Pigment Algorithms the degree of spatial clustering improved predictions. Finally, our results suggest that more discussion of the best approaches for training and validating empirical satellite algorithms is needed if the in situ Ocean surface currents play a key role in the earths climate. They affect virtually all processes occurring in the ocean and can also directly affect many important socio- economic activities. Himawari-8 meteorological satellite has an international advanced The paper describes experience of analysis of the high time resolution satellite image series aimed on detection of growing season framing dates. Satellite data use for growing season detection were discovered as observation gap filling technique in areas with sparse network The LEO satellite network has been a valuable architecture due to its characteristics of wide coverage and low transmission delay. Utilizing LEO satellites as edge computing nodes to provide reliable computing services for access terminals will be the indispensable paradigm Convolution neural network (CNN) is an effective and popular deep learning method which automatically learns complicated non-linear mapping from original inputs to given labels or ground truth through a series of convolutional layers. This study focuses on detecting

NEAR REAL TIME FLOOD FORECASTING IN THE TRANSBOUNDARY CHENAB RIVER USING GLOBAL SATELLITE MAPPING OF PRECIPITATION.
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Floods are the most significant natural hazards worldwide, claim precious lives and cause serious damage to buildings, infrastructure and agricultural crops. Pakistan is also frequently suffering huge agro-economic dents and life loss by floods in Indus, Jhelum and Chenab Distributed satellite cluster network is a novel structure in spatial information network. This paper investigates the spectrum-power tradeoff algorithm for distributed satellite cluster (DSC), which enables the master satellite (MS) to offload data traffic to the slave satelliteThe important growth of industrial, transport and agriculture activities, has not led only to the Air Quality (AQ) and climate changes issues, but also to the increase of the potential natural disasters. The emission of harmful gases, in particular, the vertical column density of CO

Allocating Power and Bandwidth in Multibeam Satellite Systems using Particle Swarm Optimization
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In the recent years, communications satellites payloads have been evolving from static subsystems to highly flexible components. Modern satellites are able to provide four orders of magnitude higher throughput than their predecessors fourty years ago, going from a few