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Assessing State of the Art on Artificial Neural Network Paradigms for Level of Eutrophication Estimation of Water Bodies
2016
IAES International Journal of Artificial Intelligence (IJ-AI)
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Different techniques are analyzed over the main steps;-assimilation of spatial data, statistical interpretation technique, observed parameters used for eutrophication estimation and accuracy of resultant ...
neural network models that offered the forecasting of level of eutrophication in the water bodies. ...
[26] and Gholamalifard et al. [27] using Multilayered Perceptron (MLP) neural network model on satellite images IRS P6 LISS III and Landsat respectively, that contributes towards detection of Lake ...
doi:10.11591/ijai.v5.i4.pp135-142
fatcat:d66ydqnj35batj3uzijh3iyta4
Optical Satellite Remote Sensing of the Coastal Zone Environment — An Overview
[chapter]
2016
Environmental Applications of Remote Sensing
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The development of specific techniques and tools based on the processing of optical satellite images makes possible the production of information useful for coastal environment management, without any ...
where different natural and anthropogenic phenomenon interact, the selection of the most appropriate sensor(s) is related to the applications required, and the different types of resolutions available (spatial ...
image parameters for bathymetric estimation. ...
doi:10.5772/61974
fatcat:lvtd7ymbpzhjzg5plcrzvvhcrq
Gaussian algorithm for retrieving and projecting aerosols optical depth: A case study of Monrovia-Liberia
2018
International Journal of Multiphysics
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Guassian algorithm technique (GAT) was used in this study to retrieve the missing data for fourteen years. ...
Fourteen years (2000)(2001)(2002)(2003)(2004)(2005)(2006)(2007)(2008)(2009)(2010)(2011)(2012)(2013) Multi-angle Imaging Spectro Radiometer (MISR) was obtained. ...
ACKNOWLEDGEMENT The author acknowledges the assistance from NASA to use their satellite dataset. ...
doi:10.21152/1750-9548.12.3.239
fatcat:eta436baejhxfhztin4iseuo4e
Coupling of Wave Data and Underwater Acoustic Measurements in a Maritime High-Traffic Coastal Area: A Case Study in the Strait of Sicily
2017
Journal of Atmospheric and Oceanic Technology
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Underwater acoustic monitoring combined with real-time sea surface observations and numerical model forecasts could improve the efficiency of natural and anthropogenic sound source discrimination. ...
These measurements could be used to discriminate natural sources of noise (waves) from other sound sources, such as biological and anthropogenic sources. ...
A number of wave models are actually used for forecasting systems at global and local scales. ...
doi:10.1175/jtech-d-17-0046.1
fatcat:htsltkjjh5ff3lmkk7yh2ema3e
A Review: Remote Sensing Sensors
[chapter]
2018
Multi-purposeful Application of Geospatial Data
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These facts have motivated us to develop a comprehensive survey of remote sensing sensor development, including the characteristics of sensors with respect to electromagnetic spectrums (EMSs), imaging ...
and non-imaging sensors, potential research areas, current practices, and the future development of remote sensors. ...
The resulting image is a multilayer image that contains both the brightness and spectral (color) information of the targets being observed. ...
doi:10.5772/intechopen.71049
fatcat:j7i2dd7t5ne5rmb4jxmojzqo3e
Assessing 155 Years of Hydrographic Survey Data for High Resolution Bathymetry Grids
2007
OCEANS 2007
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Seafloor representation over vast areas requires the fusion of depth measurements from numerous data sets having variable spatial resolution and coverage. ...
that occurred years after field collection, as well as from the unknown depths between sparse soundings of historic surveys, whose interpolated values will constitute a substantial portion of gridded bathymetric ...
Often resembling a jagged multilayered jigsaw puzzle (e.g., Fig. 5 ), the attributed polygons or surface layers are used to select for the most reliable soundings, which generally correspond to the most ...
doi:10.1109/oceans.2007.4449373
fatcat:whfifmcpwvdnbkhcwqhs4dnjuu
Wind Features Extracted from Weather Simulations for Wind-Wave Prediction Using High-Resolution Neural Networks
2021
Journal of Marine Science and Engineering
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Termed mVHR_GRU, this model was constructed using a convolutional layer for extracting features from spatial images with high-to-low resolution and a recurrent GRU model for time series prediction. ...
Nearshore wave forecasting is susceptible to changes in regional wind fields and environments. ...
To obtain more spatial information from the input images, we applied half-image downsampling in block 1 of mVHRNet. Furthermore, we added a fifth branch of feature maps at high to low resolution. ...
doi:10.3390/jmse9111257
fatcat:ormxm6m5ivhuzncyf7g3jywzwe
2012 Index IEEE Transactions on Geoscience and Remote Sensing Vol. 50
2012
IEEE Transactions on Geoscience and Remote Sensing
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J., Improved Regional Analyses and Heavy Precipitation Forecasts With Assimilation of Atmospheric
System Simulation of Snow Microwave Emissions Over Data Sparse Regions-Part II: Multilayer Physics. ...
Synthesis Method for High Spatial Resolution Remote Sensing Image Segmentation. ...
Radar resolution A Novel Method for Imaging of Group Targets Moving in a Formation. Bai, X., +, TGRS Jan. 2012 ...
doi:10.1109/tgrs.2012.2229656
fatcat:hjrotpfsqzhxlnnme27ftv33cu
2019 Index IEEE Transactions on Geoscience and Remote Sensing Vol. 57
2019
IEEE Transactions on Geoscience and Remote Sensing
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., Geosynchronous SAR Tomography: Theory and First Experimental Verification Using Beidou IGSO Satellite; TGRS Sept. 2019 6591-6607 Hu, F., Wu, J., Chang, L., and Hanssen, R.F., Incorporating Temporary ...
Coherent Li, X., Yeo, T.S., Yang, Y., Chi, C., Zuo, F., Hu, X., and Pi, Y., Refo-cusing and Zoom-In Polar Format Algorithm for Curvilinear Spotlight SAR Imaging on Arbitrary Region of Interest; TGRS ...
., +, TGRS Oct. 2019 7972-7985 Through-the-Multilayered Wall Imaging Using Passive Synthetic Aperture Radar. ...
doi:10.1109/tgrs.2020.2967201
fatcat:kpfxoidv5bgcfo36zfsnxe4aj4
Combining Artificial Neural Networks and GIS Fundamentals for Coastal Erosion Prediction Modeling
2019
Sustainability
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Combining geographic information systems (GIS) and artificial neural networks (ANN) allows us to design a model that forecasts the erosion changes in Costa da Caparica, Lisbon, Portugal, for 2021, with ...
sensitivity analysis on natural and social forces, as well as dynamic relations in the dune–beach system of the study area, two types of ANNs were tested on a GIS environment: radial basis function (RBF) and multilayer ...
Acknowledgments: We acknowledge the publication financing by Centre of Geographical Studies, Institute of Geography and Spatial Planning-Universidade de Lisboa and the anonymous reviewers that contributed ...
doi:10.3390/su11040975
fatcat:sn3hefcvbzghrdt5stniaqjfi4
Urban Canopy Modeling of the New York City Metropolitan Area: A Comparison and Validation of Single- and Multilayer Parameterizations
2007
Monthly Weather Review
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The control COAMPS simulations use the single-layer Weather Research and Forecasting (WRF) Urban Canopy Model (W-UCM) and sensitivity simulations use a multilayer urban parameterization based on Brown ...
Both simulations use surface forcing from the WRF land surface model, Noah, and hourly sea surface temperature fields from the New York Harbor and Ocean Prediction System model hindcast. ...
All subsequent forecasts use the previous COAMPS 12-h forecast as initial conditions. ...
doi:10.1175/mwr3372.1
fatcat:xdrpah6nv5fijj52sgedmdz7ce
Impact of warming shelf waters on ice mélange and terminus retreat at a large SE Greenland glacier
2019
The Cryosphere
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Image spatial resolution ranges from 30 m for Landsat 5 to 8 m for the multi-looked TerraSAR-X data. ...
The CoSSC images have a spatial resolution of ∼ 2 m and the DEMs were smoothed to a horizontal resolution of 8 m. ...
doi:10.5194/tc-13-2303-2019
fatcat:ijoqmv3iybbqdkhozkwuirm7x4
Application of soft computing techniques in coastal study – A review
2016
Journal of Ocean Engineering and Science
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They can be used in classifying remote sensing images which in turn can be used for studying the coastal vulnerability. ...
Remote sensing data products provide synoptic and repetitive view of the earth in various spatial, spectral, temporal and radiometric resolutions. ...
SVM had been showed to be effective in studying the images with one or combination of the above spatially correlated images [35] . ...
doi:10.1016/j.joes.2016.06.004
fatcat:557fox4a4vdglbcpggdxnlyrsa
Integration between X-Band Radar and Buoy Sea State Monitoring
2016
Ocean Science Discussions
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A further and important result of the work is the knowledge gained on the short spatial and temporal fluctuations of the sea state: while such Small Scale Storm Variations (SSSV) cannot be easily discriminated ...
Another strategy, which also makes use of the peak wavelength and the mean wave period, is based on multilayer perceptions [23] . ...
Each radar image belonging to the temporal sequence considered is partitioned into Ns spatially overlapping sub-areas, thus providing Ns temporal sub-sequences. ...
doi:10.5194/os-2016-53
fatcat:pm4snbekczaknpulpcjy6qfj7i
Fog Season Risk Assessment for Maritime Transportation Systems Exploiting Himawari-8 Data: A Case Study in Bohai Sea, China
2021
Remote Sensing
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framework for marine navigation risk evaluation in fog seasons is developed based on Himawari-8 satellite data, which includes: (1) a sea fog identification method for Himawari-8 satellite data based on multilayer ...
This paper uses global information system mapping technology to get navigation risk maps in different seasons in Bohai Sea and its surrounding waters. ...
Acknowledgments: We thank the European Centre for Medium-Range Weather Forecasts, and Japan Aerospace Exploration Agency for Public available data. ...
doi:10.3390/rs13173530
fatcat:6nvh5ekmybfhboenjnlja6rz3e
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