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Co-Authors
- Raj Kumar
- Bimal K. Bhattacharya
- Sadasiva Rao
- M. Saxena
- Shweta Sharma
- K. Ajay Kumar
- P. Srinivasulu
- Shashikant Sharma
- D. Dhar
- S. Bandyopadhyay
- Shantanu Bhatwadekar
- K. N. Babu
- A. K. Mathur
- David R. Thompson
- Piyushkumar N. Patel
- R. P. Prajapati
- Brian D. Bue
- Sven Geier
- Michael L. Eastwood
- Mark C. Helmlinger
Journals
Year
A B C D E F G H I J K L M N O P Q R S T U V W X Y Z All
Green, Robert O.
- Preface
Abstract Views :225 |
PDF Views:76
Authors
Raj Kumar
1,
Robert O. Green
2
Affiliations
1 Space Applications Centre, ISRO, Ahmedabad 380 009, IN
2 Jet Propulsion Laboratory, US
1 Space Applications Centre, ISRO, Ahmedabad 380 009, IN
2 Jet Propulsion Laboratory, US
Source
Current Science, Vol 116, No 7 (2019), Pagination: 1081-1081Abstract
ISRO–NASA Airborne Hyperspectral Campaign- An Overview of AVIRIS-NG Airborne Hyperspectral Science Campaign Over India
Abstract Views :257 |
PDF Views:87
Authors
Bimal K. Bhattacharya
1,
Robert O. Green
2,
Sadasiva Rao
3,
M. Saxena
1,
Shweta Sharma
1,
K. Ajay Kumar
1,
P. Srinivasulu
3,
Shashikant Sharma
1,
D. Dhar
1,
S. Bandyopadhyay
4,
Shantanu Bhatwadekar
4,
Raj Kumar
1
Affiliations
1 Space Applications Centre, Indian Space Research Organisation, Ahmedabad 380 015, IN
2 Jet Propulsion Laboratory, California Institute of Technology, CA 91109, IN
3 National Remote Sensing Centre, Indian Space Research Organisation, Hyderabad 500 625, IN
4 Earth Observation Science Directorate, Indian Space Research Organisation, Bengaluru 560 231, IN
1 Space Applications Centre, Indian Space Research Organisation, Ahmedabad 380 015, IN
2 Jet Propulsion Laboratory, California Institute of Technology, CA 91109, IN
3 National Remote Sensing Centre, Indian Space Research Organisation, Hyderabad 500 625, IN
4 Earth Observation Science Directorate, Indian Space Research Organisation, Bengaluru 560 231, IN
Source
Current Science, Vol 116, No 7 (2019), Pagination: 1082-1088Abstract
The first phase of an airborne science campaign has been carried out with the Airborne Visible/Infrared Imaging Spectrometer Next Generation (AVIRIS-NG) imaging spectrometer over 22,840 sq. km across 57 sites in India during 84 days from 16 December 2015 to 6 March 2016. This campaign was organized under the Indian Space Research Organisation (ISRO) and National Aeronautics and Space Administration (NASA) joint initiative for HYperSpectral Imaging (HYSI) programme. To support the campaign, synchronous field campaigns and ground measurements were also carried out over these sites spanning themes related to crop, soil, forest, geology, coastal, ocean, river water, snow, urban, etc. AVIRIS-NG measures the spectral range from 380 to 2510 nm at 5 nm sampling with a ground sampling distance ranging from 4 to 8 m and flight altitude of 4–8 km. On-board and ground-based calibration and processing were carried out to generate level 0 (L0) and level 1 (L1) products respectively. An atmospheric correction scheme has been developed to convert the measured radiances to surface reflectance (level 2). These spectroscopic signatures are intended to discriminate surface types and retrieve physical and compositional parameters for the study of terrestrial, aquatic and atmospheric properties. The results from this campaign will support a range of objectives, including demonstration of advanced applications for societal benefits, validation of models/techniques, development of state-of-the-art spectral libraries, testing and refinement of automated tools for users, and definition of requirements for future space-based missions that can provide this class of measurements routinely for a range of important applications.Keywords
Airborne Science Campaign, Hyperspectral Sensing, Imaging Spectrometer, Surface Reflectance.References
- Bhattacharya, B. K. and Chattopadhyay, C., A multi-stage tracking for mustard rot disease combining surface meteorology and satellite remote sensing. Comput. Electron. Agric., 2013, 90, 35– 44.
- Bhattacharya, S., Majumdar, T. J., Rajawat, A. S., Panigrahy, M. K. and Das, P. R., Utilization of Hyperion data over Dongargarh, India, for mapping altered/weathered and clay minerals along with field spectral measurements. Int. J. Remote Sensing, 2012, 33(17), 5438–5450.
- Ramakrishnan, D. and Bharti, R., Hyperspectral remote sensing and geological applications. Curr. Sci., 2015, 108(5), 879–891.
- Sahoo, R. N., Ray, S. S. and Manjunath, K. R., Hyperspectral remote sensing of agriculture. Curr. Sci., 2015, 108(5), 848–859.
- Das, B. S., Sarathjith, M. C., Santra, P., Sahoo, R. N., Srivastava, R., Routray, A. and Ray, S. S., Hyperspectral remote sensing: opportunities, status and challenges for rapid soil assessment in India. Curr. Sci., 2015, 108(5), 860–868.
- Ramakrishnan, D. and Sahoo, R. N., Network Programme on Imaging Spectroscopy and Applications (NISA): science plan and implementation strategy. Department of Science and Technology, Government of India, 2016.
- Ajay Kumar, K., Thap, N. A. and Kuriakose, S. A., Advances in spaceborne hyperspectral imaging systems. Curr. Sci., 2015, 108(5), 826–832.
- Green, R. O. et al., Imaging spectroscopy and the airborne visible/ infrared imaging spectrometer (AVIRIS). Remote Sensing Environ., 1998, 65(3), 227–248.
- Green, R. O. et al., The Moon Mineralogy Mapper (M3) imaging spectrometer for lunar science: instrument description, calibration, on-orbit measurements, science data calibration and on-orbit validation. J. Geophys. Res.: Planets, 2012, 116(E10).
- Anonymous, Thriving on Our Changing Planet: A Decadal Strategy for Earth Observation from Space, 2017–2027 Decadal Survey for Earth science and applications from space. The National Academies of Science, Engineering and Medicine (ISBN 978-0-30946757-5). The National Academies Press, Washington, DC, USA, 2017; doi:10.17226/24938.
- An Empirical Comparison of Calibration and Validation Methodologies for Airborne Imaging Spectroscopy
Abstract Views :221 |
PDF Views:86
Authors
K. N. Babu
1,
A. K. Mathur
1,
David R. Thompson
2,
Robert O. Green
2,
Piyushkumar N. Patel
3,
R. P. Prajapati
1,
Brian D. Bue
2,
Sven Geier
2,
Michael L. Eastwood
2,
Mark C. Helmlinger
2
Affiliations
1 Space Applications Centre (ISRO), Ahmedabad 380 015, IN
2 Jet Propulsion Laboratory, California Institute of Technology, US
3 Physical Research Laboratory, Ahmedabad 380 009, IN
1 Space Applications Centre (ISRO), Ahmedabad 380 015, IN
2 Jet Propulsion Laboratory, California Institute of Technology, US
3 Physical Research Laboratory, Ahmedabad 380 009, IN
Source
Current Science, Vol 116, No 7 (2019), Pagination: 1101-1107Abstract
To date, a large number of existing applications in India have used multi-band observations from airborne and spaceborne platforms. New sensors are providing additional capabilities thanks to special aerial missions with the compact airborne spectrographic imager (CASI), the short-wave infrared (SWIR) full spectrum imager (SFSI) and the National Aeronautics and Space Administration’s (NASA’s) Next Generation Airborne Visible/Infrared Imaging Spectrometer (AVIRIS-NG). Opportunities to exploit quantitative spectroscopic signatures and high spatial resolution have garnered great interest among the scientific community, and the success of these missions will rely on accurate calibration. Here we focus on a vicarious calibration experiment conducted for the AVIRIS-NG India campaign. We discuss initial validation results, with descriptions of in situ and remote calibration and measurement protocols, geometric processing with precise position and attitude data, and atmospheric simulations used to validate the remote measurement. A partnership between Indian Space Research Organisation (ISRO) and NASA investigators proved a unique opportunity to assess the empirical variability in results, indicating their sensitivity to modelling choices and assumptions. The vicarious calibration exercise uses multiple radiative transfer models, including MODTRAN 6.0 and a new version of the 6S radiative transfer code, viz. 6SV2.1, which is capable of accounting for polarization.Keywords
Hyperspectral Measurements, Radiative Transfer, Reflectance, Vicarious Calibration.References
- Naughton, D. et al., Absolute radiometric calibration of the rapid eye multispectral imager using the reflectance-based vicarious calibration method. J. Appl. Remote Sensing, 2011, 5(1), 053544; https://doi.org/10.1117/1.3613950.
- Slater, P. N. et al., Reflectance-based and radiance-based methods for the in-flight absolute calibration of multispectral sensors. Remote Sensing Environ., 1987, 22, 11–37.
- Thome, K. J., Absolute radiometric calibration of Landsat 7 ETM+ using the reflectance-based method. Remote Sensing Environ., 2001, 78, 27–38.
- Thome, K. J., Arai, K., Tsuchida, S. and Biggar, S. F., Vicarious calibration of ASTER via the reflectance-based approach. IEEE Trans. Geosci. Remote Sensing, 2008, 46, 3285–3295.
- Dinguirard, M. and Slater, P. N., Calibration of spacemultispectral imaging sensors: a review. Remote Sensing Environ., 1999, 68, 194–205.
- Green, R. O., Eastwood, M. L. and Satrure, C. M., Imaging spectroscopy and the airborne visible/infrared imaging spectrometer (AVIRIS). Remote Sensing Environ., 1998, 65, 227–248.
- Thompson, D. R., Natraj, V., Green, R. O., Helmlinger, M., Gao, B.-C. and Eastwood, M. L., Optimal estimation for imaging spectrometer atmospheric correction. Remote Sensing Environ., 2018, 216, 355–373.
- Berk, A., Conforti, P., Kennett, R., Perkins, T., Hawes, F. and van den Bosch, J., MODTRAN6: a major upgrade of the MODTRAN radiative transfer codes. Proc. SPIE 9088, 2014, 7; doi:10.1117/12.2050433.
- Kotchenova, S. Y. and Vermote, E. F., Validation of a vector version of the 6S radiative transfer code for atmospheric correction of satellite data. Part II: Homogeneous Lambertian and anisotropic surfaces, Appl. Opt., 2007, 46, 4455–4464.
- Sridhar, V. N., Mehta, K. B., Prajapati, R. P., Babu, K. N., Suthar, N. M. and Shukla, A. K., Absolute vicarious calibration of OCM2 and AWiFS sensors using a reflectance based method over land sites in the Rann of Kutch, Gujarat. Int. J. Remote Sensing, 2013, 34, 5690–5708.
- Patel, P. N., Dumka, U. C., Kaskaoutis, D. G., Babu, K. N. and Mathur, A. K., Optical and radiative properties of aerosols over Desalpar, a remote site in western India: source identification, modification processes and aerosol type discrimination. Sci. Total Environ., 2017, 575, 612–627.
- Thompson, D. R., Boardman, J. W., Eastwood, M. L., Green, R. O., Haag, J. M. and Gorp, B. V., Imaging spectrometer stray spectral response: in-flight characterization, correction and validation. Remote Sensing Environ., 2018, 204, 850–860.
- Thompson, D. R. et al., Real-time remote detection and measurement for airborne imaging spectroscopy: a case study with methane. Atmosph. Meas. Tech., 2015, 8, 4383–4397.
- Pagnutti, M., Ryan, R. E., Kelly, M., Holekamp, K., Zanoni, V., Thome, K. and Schiller, S., Radiometric characterization of IKONOS multispectralimagery. Remote Sensing Environ., 2003, 88, 53–68.
- Thome, K., Biggar, S. and Choi, H. J., Vicarious calibration of Terra ASTER, MISR, and MODIS. Proc. SPIE 5542, 2004; doi:10.1117/12.559942
- Schott, J. R., Remote Sensing: The Image Chain Approach, Oxford University Press, 2007, p. 665.
- Thome, K., Helder, D., Aaron, D. and Dewald, J., Landsat-5 TM and Landsat-7 ETM+ absolute radiometric calibration using the reflectance-based method. IEEE Trans. Geosci. Remote Sensing, 2004, 42, 2777–2785.
- Helmlinger, M., Eastwood, M., Green, R. P. and Thompson, D. R., Solar-similar near-infrared suppressed ‘blue’ calibration source. In IEEE Aerospace Conference, Big Sky, USA, MT, 2016; doi:10.1109/AERO.2016.7500714.
- Biggar, S. F., Slater, P. N. and Gellman, D. I., Uncertainties in the in flight calibration of sensors with reference to measured ground sites in the 0.4–1.1 μm range. Remote Sensing Environ., 1994, 48, 245–252.