A method to minimize edge effects in two‐dimensional discrete Fourier transforms

Geophysics ◽  
1988 ◽  
Vol 53 (8) ◽  
pp. 1113-1117 ◽  
Author(s):  
Yanick Ricard ◽  
Richard J. Blakely

Fourier transforms are widely used in analysis of two‐dimensional (2-D) earth‐science data, such as gravity and magnetic surveys, topographic models, and remote‐sensing images. For example, manipulations of gridded magnetic or gravity data, such as upward and downward continuation, reduction to the pole, wavelength filters, pseudogravity transformation, and vertical derivatives (Hildenbrand, 1983), are greatly simplified with Fourier transforms, as are certain forward and inverse calculations (Parker, 1973; Parker and Huestis, 1974). Power spectra computed from 2-D Fourier transforms are used to estimate depth to the top and bottom of magnetic sources from gridded magnetic data (Spector and Grant, 1970; Connard et al., 1983) and to estimate lithospheric strength and Moho depth from gridded gravity data (Dorman and Lewis, 1970; Louden and Forsyth, 1982; McNutt, 1983).

2021 ◽  
Vol 9 (2) ◽  
pp. 88-104
Author(s):  
Devis Tuia ◽  
Ribana Roscher ◽  
Jan Dirk Wegner ◽  
Nathan Jacobs ◽  
Xiaoxiang Zhu ◽  
...  

Eos ◽  
2017 ◽  
Author(s):  
Zhong Liu ◽  
James Acker

Using satellite remote sensing data sets can be a daunting task. Giovanni, a Web-based tool, facilitates access, visualization, and exploration for many of NASA’s Earth science data sets.


2020 ◽  
Vol 10 (3) ◽  
pp. 856 ◽  
Author(s):  
José R. R. Viqueira ◽  
Sebastián Villarroya ◽  
David Mera ◽  
José A. Taboada

The monitoring and forecasting of environmental conditions is a task to which much effort and resources are devoted by the scientific community and relevant authorities. Representative examples arise in meteorology, oceanography, and environmental engineering. As a consequence, high volumes of data are generated, which include data generated by earth observation systems and different kinds of models. Specific data models, formats, vocabularies and data access infrastructures have been developed and are currently being used by the scientific community. Due to this, discovering, accessing and analyzing environmental datasets requires very specific skills, which is an important barrier for their reuse in many other application domains. This paper reviews earth science data representation and access standards and technologies, and identifies the main challenges to overcome in order to enable their integration in semantic open data infrastructures. This would allow non-scientific information technology practitioners to devise new end-user solutions for citizen problems in new application domains.


2000 ◽  
Author(s):  
Rahul Ramachandran ◽  
Helen T. Conover ◽  
Sara J. Graves ◽  
Ken Keiser

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