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Mishra, Manoj K.
- SWIR Albedo Mapping of Mars Using Mars Orbiter Mission Data
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PDF Views:98
Authors
Affiliations
1 Space Applications Centre, Indian Space Research Organisation, Ahmedabad 380 005, IN
1 Space Applications Centre, Indian Space Research Organisation, Ahmedabad 380 005, IN
Source
Current Science, Vol 113, No 01 (2017), Pagination: 112-116Abstract
Global apparent short wave infrared (SWIR) (1.64-1.66 μm) albedo mapping results from data acquired by Methane Sensor for Mars (MSM) onboard Indian Mars Orbiter Mission from October 2014 to February 2015, are presented. Global analysis of low and high albedo patterns is discussed using MSM apparent SWIR albedo map. The occurrence frequency of MSM apparent SWIR albedo shows a clear bimodal behaviour and is in good agreement with OMEGA NIR albedo distribution. Based on MSM apparent SWIR albedo values, three classes (high, intermediate and low albedo values) are defined, which show a clear elevation dependency. Variation of weekly average apparent albedo during the study period over Syrtis Major, Daedalia Planum and Valles Marineris region, respectively, is presented.Keywords
Albedo, Mars, Methane Sensor for Mars.Full Text
References
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- Retrieval of Atmospheric Parameters and Data-Processing Algorithms forAVIRIS-NG Indian Campaign Data
Abstract Views :224 |
PDF Views:90
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
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