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Retrieval of Atmospheric Parameters and Data-Processing Algorithms forAVIRIS-NG Indian Campaign Data


Affiliations
1 Space Applications Centre, Indian Space Research Organisation, Ahmedabad 380 015, India
2 Department of Geography, University of Utah, Salt Lake City, UT, United States
 

Applications of high-spatial resolution imaging spectrometer data acquired from the Airborne Visible/ Infrared Imaging Spectrometer-Next Generation (AVIRIS-NG) under India campaign 2015–16, require a thorough compensation for atmospheric absorption and scattering. The data-processing algorithms used for retrieving critically important atmospheric parameters, namely ‘water vapour and aerosol optical depth (AOD)’ over land and water surfaces are presented. Over land surfaces, the dark dense vegetation method and radiative transfer modelling are used for deriving spectral AOD for boxes of 20 × 20 pixels. For AOD retrieval over water surfaces, dark-target approximation is used with near-infrared and shortwave infrared measurements. Estimation of precipitable water vapour is carried out using short-wave hyperspectral measurements for each pixel. A differential absorption technique (continuum interpolated band ratio) has been used for this purpose. The retrieved AOD and water vapour values were compared with in situ sun-photometer and radiosonde data respectively, indicating good matches. Further, these parameters were used to derive ‘atmospherically corrected surface reflectance and remote sensing reflectance’, for land and water surface respectively, assuming horizontal surfaces having Lambertian reflectance.

Keywords

Aerosol, Atmospheric Correction, Hyperspectral Imaging, Surface Reflectance, Water Vapour.
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  • Retrieval of Atmospheric Parameters and Data-Processing Algorithms forAVIRIS-NG Indian Campaign Data

Abstract Views: 334  |  PDF Views: 134

Authors

Manoj K. Mishra
Space Applications Centre, Indian Space Research Organisation, Ahmedabad 380 015, India
Anurag Gupta
Space Applications Centre, Indian Space Research Organisation, Ahmedabad 380 015, India
Jinya John
Space Applications Centre, Indian Space Research Organisation, Ahmedabad 380 015, India
Bipasha P. Shukla
Space Applications Centre, Indian Space Research Organisation, Ahmedabad 380 015, India
Philip Dennison
Department of Geography, University of Utah, Salt Lake City, UT, United States
S. S. Srivastava
Space Applications Centre, Indian Space Research Organisation, Ahmedabad 380 015, India
Nitesh K. Kaushik
Space Applications Centre, Indian Space Research Organisation, Ahmedabad 380 015, India
Arundhati Misra
Space Applications Centre, Indian Space Research Organisation, Ahmedabad 380 015, India
D. Dhar
Space Applications Centre, Indian Space Research Organisation, Ahmedabad 380 015, India

Abstract


Applications of high-spatial resolution imaging spectrometer data acquired from the Airborne Visible/ Infrared Imaging Spectrometer-Next Generation (AVIRIS-NG) under India campaign 2015–16, require a thorough compensation for atmospheric absorption and scattering. The data-processing algorithms used for retrieving critically important atmospheric parameters, namely ‘water vapour and aerosol optical depth (AOD)’ over land and water surfaces are presented. Over land surfaces, the dark dense vegetation method and radiative transfer modelling are used for deriving spectral AOD for boxes of 20 × 20 pixels. For AOD retrieval over water surfaces, dark-target approximation is used with near-infrared and shortwave infrared measurements. Estimation of precipitable water vapour is carried out using short-wave hyperspectral measurements for each pixel. A differential absorption technique (continuum interpolated band ratio) has been used for this purpose. The retrieved AOD and water vapour values were compared with in situ sun-photometer and radiosonde data respectively, indicating good matches. Further, these parameters were used to derive ‘atmospherically corrected surface reflectance and remote sensing reflectance’, for land and water surface respectively, assuming horizontal surfaces having Lambertian reflectance.

Keywords


Aerosol, Atmospheric Correction, Hyperspectral Imaging, Surface Reflectance, Water Vapour.

References





DOI: https://doi.org/10.18520/cs%2Fv116%2Fi7%2F1089-1100