scholarly journals Bio-ORACLE v2.0: Extending marine data layers for bioclimatic modelling

2017 ◽  
Vol 27 (3) ◽  
pp. 277-284 ◽  
Author(s):  
Jorge Assis ◽  
Lennert Tyberghein ◽  
Samuel Bosch ◽  
Heroen Verbruggen ◽  
Ester A. Serrão ◽  
...  
Keyword(s):  
Bioclimatic Modelling ◽  
Marine Data ◽  
Data Layers

Advanced mid-water tools for 4D marine data fusion and analysis

OCEANS 2009 ◽  
2009 ◽  
Author(s):  
Maurice Doucet ◽  
Colin Ware ◽  
Roland Arsenault ◽  
Tom Weber ◽  
Mashkoor Ahmad Malik ◽  
...  
Keyword(s):  
Data Fusion ◽  
Marine Data

scholarly journals Internet of Underwater Things and Big Marine Data Analytics—A Comprehensive Survey

2021 ◽  
pp. 1-1
Author(s):  
Mohammad Jahanbakht ◽  
Wei Xiang ◽  
Lajos Hanzo ◽  
Mostafa Rahimi Azghadi
Keyword(s):  
Data Analytics ◽  
Comprehensive Survey ◽  
Marine Data

scholarly journals Determination of emergency roads to emergency accommodation using loss analysis results

2021 ◽  
Vol 8 (1) ◽  
Author(s):  
Sajad Ganjehi ◽  
Khadijeh Norouzi Khatiri
Keyword(s):  
Estimation Method ◽  
Emergency Evacuation ◽  
Influential Factors ◽  
Urban Crisis ◽  
Time Duration ◽  
Loss Analysis ◽  
Expert Choice ◽  
Data Layers ◽  
Temporary Accommodation

AbstractTeh present study aims to identify proper places to build temporary accommodation for people and accessible roads using damage analysis results during a probable earthquake. Teh HAZUS damage estimation method, which is one of teh most common ones currently used in teh world, was used in dis study. Teh influential factors in locating teh temporary accommodation in Shiraz were studied by using damage results, AHP model, and Expert Choice software. Then, map for temporary accommodation was prepared. By integrating layers, teh ultimate map of optimal locating for temporary accommodation was presented. Subsequently, all teh parameters influencing teh safety of emergency evacuation and relief network were identified and teh impact rate of each one was determined based on experts’ opinions through AHP. Based on teh importance of each index, roads were weighed and coded. Then, teh optimal safe road for relief and emergency evacuation was proposed. Teh results suggested dat relief roads are different based on different indices and teh optimal road was obtained through overlapping teh data layers according to teh importance of each parameter. dis optimal road could provide maximum services in teh minimum time duration and subsequently create capacity building in urban crisis management.

Elastic Least-Squares Imaging in Tilted Transversely Isotropic Media for Multicomponent Land and Pressure Marine Data

2020 ◽  
Vol 41 (4) ◽  
pp. 805-833 ◽  
Author(s):  
Jidong Yang ◽  
Biaolong Hua ◽  
Paul Williamson ◽  
Hejun Zhu ◽  
George McMechan ◽  
...  
Keyword(s):  
Least Squares ◽  
Transversely Isotropic ◽  
Transversely Isotropic Media ◽  
Isotropic Media ◽  
Marine Data

Restricted model domain time Radon transforms

Geophysics ◽  
2016 ◽  
Vol 81 (6) ◽  
pp. A17-A21 ◽  
Author(s):  
Juan I. Sabbione ◽  
Mauricio D. Sacchi
Keyword(s):  
Inverse Problem ◽  
Seismic Data ◽  
Computational Cost ◽  
Synthetic Data ◽  
Model Space ◽  
Radon Transforms ◽  
Iterative Solver ◽  
Hard Thresholding ◽  
Restricted Model ◽  
Marine Data

The coefficients that synthesize seismic data via the hyperbolic Radon transform (HRT) are estimated by solving a linear-inverse problem. In the classical HRT, the computational cost of the inverse problem is proportional to the size of the data and the number of Radon coefficients. We have developed a strategy that significantly speeds up the implementation of time-domain HRTs. For this purpose, we have defined a restricted model space of coefficients applying hard thresholding to an initial low-resolution Radon gather. Then, an iterative solver that operated on the restricted model space was used to estimate the group of coefficients that synthesized the data. The method is illustrated with synthetic data and tested with a marine data example.

Design of Marine Data Warehouse ETL System

2014 ◽  
Vol 668-669 ◽  
pp. 1374-1377 ◽  
Author(s):  
Wei Jun Wen
Keyword(s):  
Decision Making ◽  
Data Quality ◽  
Data Warehouse ◽  
Environmental Data ◽  
Data Sources ◽  
Quality Data ◽  
Critical Step ◽  
Marine Data ◽  
Data Extracting ◽  
Marine Environmental

ETL refers to the process of data extracting, transformation and loading and is deemed as a critical step in ensuring the quality, data specification and standardization of marine environmental data. Marine data, due to their complication, field diversity and huge volume, still remain decentralized, polyphyletic and isomerous with different semantics and hence far from being able to provide effective data sources for decision making. ETL enables the construction of marine environmental data warehouse in the form of cleaning, transformation, integration, loading and periodic updating of basic marine data warehouse. The paper presents a research on rules for cleaning, transformation and integration of marine data, based on which original ETL system of marine environmental data warehouse is so designed and developed. The system further guarantees data quality and correctness in analysis and decision-making based on marine environmental data in the future.

scholarly journals High-resolution marine data and transient simulations support orbital forcing of ENSO amplitude since the mid-Holocene

2021 ◽  
Vol 268 ◽  
pp. 107125
Author(s):  
Matthieu Carré ◽  
Pascale Braconnot ◽  
Mary Elliot ◽  
Roberta d’Agostino ◽  
Andrew Schurer ◽  
...  
Keyword(s):  
High Resolution ◽  
Orbital Forcing ◽  
Transient Simulations ◽  
Marine Data
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