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Anomaly detection of hyperspectral images based on improved isolation forest algorithm. [PDF]

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Estimation of soil and crop residue parameters using AVIRIS-NG hyperspectral data

International Journal of Remote Sensing, 2023
Detailed ground cover information and efficient modelling approaches are needed for estimating soil properties from hyperspectral remote sensing (HRS) data. With the objective to estimate both soil and crop residue (CR) parameters using HRS data from the
Israr Majeed, N. Purushothaman, Poulamee Chakraborty, Niranjan Panigrahi, H. Vasava, B. Das   +5 more
semanticscholar   +1 more source

Airborne Visible/Infrared Imaging Spectrometer 3 (AVIRIS-3)

IEEE Aerospace Conference, 2022
The Airborne Visible/Infrared Imaging Spectrometer 3 (AVIRIS-3) is the third of the NASA AVIRIS spectrometer series and is being developed in parallel with the Compact Wide-swath Imaging Spectrometer II (CWIS-II) being developed with the University of ...
R. Green, M. Schaepman, P. Mouroulis, S. Geier, Lucas Shaw, Andreas Hueini, Michael Bernas, I. Mckinley, Christopher D. Smith, R. Wehbe, M. Eastwood, Quentin Vinckier, E. Liggett, S. Zandbergen, D. Thompson, Peter Sullivan, C. Sarture, B. V. van Gorp, M. Helmlinger   +18 more
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Unsupervised Classification of Aviris-NG Hyperspectral Images

Workshop on Hyperspectral Image and Signal Processing, 2021
In hyperspectral imaging for remote sensing, learning from unlabeled data by unsupervised methods is very challenging and it is the subject of considerable recent interest since the collection of large datasets by aircraft, UAVs and satellites has become
Kangning Cui, R. Plemmons
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AVIRIS-3: Next-Generation Imaging Spectroscopy Calibration and First Results

IEEE International Geoscience and Remote Sensing Symposium
The Airborne Visible / Infrared Imaging Spectrometer-3 (AVIRIS-3) instrument is the newest member of NASA’s AVIRIS airborne imaging spectrometer family. A Dyson pushbroom spectrometer similar to the satellite-based Earth Mineral Dust Source Investigation
Regina F. Eckert, Michael Bernas, P. Brodrick, John W. Chapman, Adam Chlus, M. Eastwood, Sven Geier, M. Helmlinger, Didier Keymeulen, E. Liggett, Shriya Nadgauda, L. Ríos, Lucas Shaw, David R. Thompson, Robert O. Green   +14 more
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Mapping of thermal power plant emitted atmospheric carbon dioxide concentration using AVIRIS-NG data and atmospheric radiative transfer model simulations

Journal of Applied Remote Sensing, 2021
. Our study demonstrates the potential of Airborne Visible/Infrared Imaging Spectrometer Next Generation (AVIRIS-NG) hyperspectral data and radiative transfer modeling to retrieve the atmospheric carbon dioxide (CO2) concentration from point source ...
M. Pandya, A. Chhabra, V. Pathak, H. Trivedi, P. Chauhan   +4 more
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Mapping crop types in fragmented arable landscapes using AVIRIS-NG imagery and limited field data

, 2020
The fragmented nature of arable landscapes and diverse cropping patterns often thwart the precise mapping of crop types. Recent advances in remote-sensing technologies and data mining approaches offer a viable solution to this mapping problem.
E. Salas, S. Subburayalu, B. Slater, K. Zhao, B. Bhattacharya, R. Tripathy, Ayan Das, R. Nigam, R. Dave, Parshva Parekh   +9 more
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Chlorophyll deficiency (chlorosis) detection based on spectral shift and yellowness index using hyperspectral AVIRIS-NG data in Sholayar reserve forest, Kerala

, 2020
Hyperspectral remote sensing is highly efficient in retrieving the leaf chlorophyll concentrations and its deficiency, which is manifested in the form of a spectral shift in reflectance.
Shahbaz Ahmad, A. Pandey, Amit Kumar, B. Parida, N. Lele, B. Bhattacharya   +5 more
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Extraction of urban built-up surfaces and its subclasses using existing built-up indices with separability analysis of spectrally mixed classes in AVIRIS-NG imagery

, 2020
Understanding the urban environments and their spatio-temporal behavior is necessary for local and regional planning along with environmental management.
Dwijendra Pandey, K. C. Tiwari
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AVIRIS-NG hyperspectral data analysis for pre- and post-MNF transformation using per-pixel classification algorithms

Geocarto International, 2020
The hyperspectral image such as AVIRIS-NG provides a lot of spectral information and fine resolution that identify and discriminate similar objects based on their spectral reflectance.
L. Sharma, Rajani Kant Verma
semanticscholar   +1 more source