TOTAL ELECTRONIC CONTENT ESTIMATION USING GEOSTATISTICS

Authors

  • Everson Mattos Instituto Nacional de Pesquisas Espaciais - INPE
  • Adriano Petry Instituto Nacional de Pesquisas Espaciais - INPE
  • Denilson Kulman Instituto Nacional de Pesquisas Espaciais - INPE
  • Franciele dos Santos Padilha Instituto Nacional de Pesquisas Espaciais - INPE
  • Guilherme Hollweg Instituto Nacional de Pesquisas Espaciais - INPE

DOI:

https://doi.org/10.5902/2179460X14862

Keywords:

ados de GPS, Krigagem Ordinária, Simulação Sequencial Gaussiana, Geoestatística.

Abstract

http://dx.doi.org/10.5902/2179460X14862

Ionosphere is the ionizable atmosphere layer, where physical and chemical processes result in atoms ionization and neutralization,which interact with Earth’s magnetic field and generate regions with different electronic concentration. The ionizationdistribution in ionosphere affects mainly telecommunications, and may cause distortions and systems failure such as GlobalPositioning System (GPS). In this work, Total Electronic Content (TEC) data is used, observed at several double frequencyGPS stations over South America, to estimate TEC in the whole region, including locations where these measures are not available.The geostatistic techniques ordinary kriging and gaussian sequential simulation were applied, using the software StanfordGeostatistical Modeling Software (SGEMS), and presented similar and coherent results.

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Author Biographies

Everson Mattos, Instituto Nacional de Pesquisas Espaciais - INPE

Geoestatística, Sensoriamento Remoto.

Adriano Petry, Instituto Nacional de Pesquisas Espaciais - INPE

Geoestatística.

Denilson Kulman, Instituto Nacional de Pesquisas Espaciais - INPE

Geoestatística,

Franciele dos Santos Padilha, Instituto Nacional de Pesquisas Espaciais - INPE

Geoestatítica

Guilherme Hollweg, Instituto Nacional de Pesquisas Espaciais - INPE

Geoestatítica

Published

2015-09-26

How to Cite

Mattos, E., Petry, A., Kulman, D., Padilha, F. dos S., & Hollweg, G. (2015). TOTAL ELECTRONIC CONTENT ESTIMATION USING GEOSTATISTICS. Ciência E Natura, 37(3), 107–114. https://doi.org/10.5902/2179460X14862

Issue

Section

Geo-Sciences

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