Share Email Print
cover

Proceedings Paper

Spatial variation of atmospheric carbon dioxide concentration retrieved from AVIRIS-NG images including water vapor correction and spectroradiometric validation for two urban places of India
Format Member Price Non-Member Price
PDF $17.00 $21.00

Paper Abstract

This is a report on the spatial variation of atmospheric carbon dioxide (CO2) concentration with urban congestion estimated from Airborne Visible/Infrared Imaging Spectrometer Next Generation (AVIRIS-NG) hyperspectral images procured for the first time in the tropical urban atmosphere of India. It combines hyperspectral field measurements and airborne image analysis and puts forward a modified version of differential optical absorption spectroscopic technique, termed as a-DOAS that defines the absorption depths through weighted average of radiance at absorbing and non-absorbing wavebands. Field spectroradiometry was carried out for part of two adjacent cities, namely Howrah and Kolkata, over sites of varied population density and vehicle abundance at both narrow and wide angle field-of-view. The local concentrations of atmospheric CO2 at the ground surface and the solar illumination at the measuring spot were noted simultaneously. As an alternative to the general validation method of comparing the image-derived absorption depth with that simulated with radiative transfer model, the present work is based on the image-derived and the ground-based data. The relative differences of the surface reflectance for the pixels of different features were reduced by normalizing the pixel values with suitable constants. While calculating the CO2 absorption depths, a correction for the adjacent water vapor absorption band was made with MODTRAN simulation. Since the pixel-to-pixel variation of radiance was too fine, the CO2 map was generated by computing average through convolution and filtering with kernel of 11×11 pixels. The overall observation was lower concentration for vegetated regions in comparison with concreted urban areas.

Paper Details

Date Published: 9 October 2019
PDF: 8 pages
Proc. SPIE 11152, Remote Sensing of Clouds and the Atmosphere XXIV, 111520E (9 October 2019);
Show Author Affiliations
Barun Raychaudhuri, Presidency Univ. (India)
Sasmita Chaurasia, Indian Space Research Organization (India)
Santanu Roy, Presidency Univ. (India)


Published in SPIE Proceedings Vol. 11152:
Remote Sensing of Clouds and the Atmosphere XXIV
Adolfo Comerón; Evgueni I. Kassianov; Klaus Schäfer; Richard H. Picard; Konradin Weber; Upendra N. Singh, Editor(s)

© SPIE. Terms of Use
Back to Top
PREMIUM CONTENT
Sign in to read the full article
Create a free SPIE account to get access to
premium articles and original research
Forgot your username?
close_icon_gray