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John, Jinya
- Retrieval of Atmospheric Parameters and Data-Processing Algorithms forAVIRIS-NG Indian Campaign Data
Abstract Views :224 |
PDF Views:89
Authors
Manoj K. Mishra
1,
Anurag Gupta
1,
Jinya John
1,
Bipasha P. Shukla
1,
Philip Dennison
2,
S. S. Srivastava
1,
Nitesh K. Kaushik
1,
Arundhati Misra
1,
D. Dhar
1
Affiliations
1 Space Applications Centre, Indian Space Research Organisation, Ahmedabad 380 015, IN
2 Department of Geography, University of Utah, Salt Lake City, UT, US
1 Space Applications Centre, Indian Space Research Organisation, Ahmedabad 380 015, IN
2 Department of Geography, University of Utah, Salt Lake City, UT, US
Source
Current Science, Vol 116, No 7 (2019), Pagination: 1089-1100Abstract
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.Full Text
References
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- Cloud Microphysical Characterization during AVIRIS-NG Campaign
Abstract Views :199 |
PDF Views:78
Authors
Affiliations
1 Atmospheric Sciences Division, Atmosphere and Oceanic Sciences Group, Space Applications Centre, Indian Space Research Organisation, Ahmedabad 380 015, IN
2 Department of Physics, Electronics and Space Sciences, Gujarat University, Navrangpura, Ahmedabad 380 009, IN
1 Atmospheric Sciences Division, Atmosphere and Oceanic Sciences Group, Space Applications Centre, Indian Space Research Organisation, Ahmedabad 380 015, IN
2 Department of Physics, Electronics and Space Sciences, Gujarat University, Navrangpura, Ahmedabad 380 009, IN
Source
Current Science, Vol 116, No 7 (2019), Pagination: 1196-1200Abstract
Airborne Visible/Infrared Imaging Spectrometer-Next Generation (AVIRIS-NG) air campaign has provided a unique opportunity to characterize the properties of tropical clouds at microscale. A novel approach based on spectral matching technique has been used to derive the cloud microphysical parameters (CMPs) such as optical thickness and effective radius over campaign sites of Kurnool (Andhra Pradesh) and Chilika (Odisha) region in India. It is found that the derived CMPs correspond to medium opacity and effective radius ranging from 4 to 18 μm. The hyperspectral bands coupled with high spatial resolution of the observations make it possible to identify pockets populated densely with large particles within a cloud. This has great applications for picking up fast developing convective cloud cells. More insight with different cloud type observations is anticipated with AVIRISN G phase-2 campaign.Keywords
Cloud Microphysical Parameters, Hyperspectral Imaging, Remote Sensing, Spectral Matching.Full Text
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