Paper
20 January 2005 Seasonal methane content in atmosphere of the permafrost boundary zone in Western Siberia determined from IMG/ADEOS and AIRS/AQUA data
Author Affiliations +
Proceedings Volume 5655, Multispectral and Hyperspectral Remote Sensing Instruments and Applications II; (2005) https://doi.org/10.1117/12.579494
Event: Fourth International Asia-Pacific Environmental Remote Sensing Symposium 2004: Remote Sensing of the Atmosphere, Ocean, Environment, and Space, 2004, Honolulu, Hawai'i, United States
Abstract
To quantify carbon exchange fluxes in subarctic peatlands, new techniques and software for monitoring of methane using high-resolution emission spectra of atmosphere observed from Space have been developed. Neural network technique is promissing for nstantaneous retrieval of methane content in atmosphere from huge amount of data provided by AIRS/AQUA sensor. IMG/ADEOS data, FIRE-ARMS forward simulations and retrieval of methane profiles from IMG spectra on the base of constrained optimization were used for the purposes of validation of the neural network techniques applied to AIRS/AQUA data. Preliminary maps of methane content in atmosphere of the permafrost boundary zone in Western Siberia are obtained from AIRS/AQUA data.
© (2005) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Alexander Yu. Toptygin, Konstantin G. Gribanov, Ryoichi Imasu, W. Bleuten, and Vyacheslav I. Zakharov "Seasonal methane content in atmosphere of the permafrost boundary zone in Western Siberia determined from IMG/ADEOS and AIRS/AQUA data", Proc. SPIE 5655, Multispectral and Hyperspectral Remote Sensing Instruments and Applications II, (20 January 2005); https://doi.org/10.1117/12.579494
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Cited by 5 scholarly publications.
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KEYWORDS
Methane

Neural networks

Carbon

Atmospheric sensing

Climate change

Humidity

Sensors

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