Estimation of molecular column density of methane (XCH4) using AVIRIS-NG data

Mahesh Pathakoti; Biswadip Gharai; Sreenivas Gaddamidi; Rao P. Venkata Narshimha; Mallikarjun Kapanaboina; SeshaSai V. R. Mullapudi; Krishna Murthy V. N. Yelisetty

doi:10.1117/1.JRS.12.046005

10 October 2018 Estimation of molecular column density of methane (XCH4) using AVIRIS-NG data

Mahesh Pathakoti, Biswadip Gharai, Sreenivas Gaddamidi, Rao P. Venkata Narshimha, Mallikarjun Kapanaboina, SeshaSai V. R. Mullapudi, Krishna Murthy V. N. Yelisetty

Author Affiliations +

Journal of Applied Remote Sensing, Vol. 12, Issue 4, 046005 (October 2018). https://doi.org/10.1117/1.JRS.12.046005

Abstract

An attempt has been made to retrieve columnar density of methane (XCH₄) over a suburban area of the Shadnagar in India from the high spatial and moderate spectral resolution (5 nm ± 0.5 nm) airborne visible/infrared imaging spectrometer next generation (AVIRIS-NG) data. The data collected were part of the joint airborne campaign by National Aeronautics Space Administration/Jet Propulsion Laboratory and Indian Space Research Organisation over several Indian sites during December 2015 to January 2016. The XCH₄ was retrieved following the Moderate Resolution Imaging Spectroradiometer (MODIS) water vapor retrieval algorithm and was compared with the ground-based Fourier transform infrared (FTIR) observations. FTIR measured CH₄ transmittance was fitted against Fast Atmospheric Signature Code3 (FASCODE3) simulated transmittance, and found their residual lies within ±1 % , which shows a very good retrieval sensitivity of FTIR. Hence FTIR observations are used for the validation of AVIRIS-NG derived XCH₄ and found in good agreement. In the present study, we utilized airborne imaging radiance data in the CH₄ absorbing channel at 2.365 ± 0.006 μm and nonabsorbing channels at 2.325 ± 0.006 μm and 2.365 ± 0.006 μm to compute atmospheric transmittance spectrum. Using a line-by-line radiative transfer algorithm, the XCH₄ was estimated from AVIRIS-NG transmittance data. Prior to the application of the MODIS water vapor algorithm on AVIRIS-NG transmittance, it was also compared with the FASCODE3 simulated transmittance and found comparable. Study revealed that within the Shadnagar region, retrieved XCH₄ varies little to moderate with an average of 9 × 10²⁷ molecules cm^− 2 with the highest value of 12 × 10²⁷ molecules cm^− 2 near the source region of the agriculture field. The study demonstrates the capability of AVIRIS-NG to quantify the column density of atmospheric species such as CH₄ over a region.

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Mahesh Pathakoti, Biswadip Gharai, Sreenivas Gaddamidi, Rao P. Venkata Narshimha, Mallikarjun Kapanaboina, SeshaSai V. R. Mullapudi, and Krishna Murthy V. N. Yelisetty "Estimation of molecular column density of methane (XCH4) using AVIRIS-NG data," Journal of Applied Remote Sensing 12(4), 046005 (10 October 2018). https://doi.org/10.1117/1.JRS.12.046005

Received: 18 December 2017; Accepted: 18 September 2018; Published: 10 October 2018

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