A geostatistical and probabilistic spectral image processing methodology for monitoring potential CO2 leakages on the surface-Reference-Cited by-同舟云学术

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A geostatistical and probabilistic spectral image processing methodology for monitoring potential CO2 leakages on the surface

Published:2011-05 Issue:3 Volume:5 Page:589-597
ISSN:1750-5836
Container-title:International Journal of Greenhouse Gas Control
language:en
Short-container-title:International Journal of Greenhouse Gas Control

Author:

Govindan Rajesh,Korre Anna,Durucan Sevket,Imrie Claire E.

Publisher

Elsevier BV

Subject

Management, Monitoring, Policy and Law,Industrial and Manufacturing Engineering,General Energy,Pollution

Reference60 articles.

1. Gas migration along fault systems and through the vadose zone in the Latera natural analogue (central Italy): implications for CO2 geological storage;Annunziatellis;International Journal of Greenhouse Gas Control,2008

2. Results of geophysical monitoring over a “leaking” natural analogue site in Italy;Arts;Energy Procedia,2009

3. Detection of subpixel anomalies in multispectral infrared imagery using an adaptive Bayesian classifier;Ashton;IEEE Transactions on Geoscience and Remote Sensing,1998

4. Multialgorithm solution for automated multispectral target detection;Ashton;Optical Engineering,1999

5. The application of remote sensing techniques to monitor CO2 storage sites for surface leakage: method development and testing at Latera (Italy) where naturally-produced CO2 is leaking to the atmosphere;Bateson;International Journal of Greenhouse Gas Control,2008

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