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Airborne imaging spectroscopy surveys of Arctic and boreal Alaska and northwestern Canada 2017–2023 [PDF]

Scientific Data
Since 2015, NASA’s Arctic Boreal Vulnerability Experiment (ABoVE) has investigated how climate change impacts the vulnerability and/or resilience of the permafrost-affected ecosystems of Alaska and northwestern Canada.
Charles E. Miller, Robert O. Green, David R. Thompson, Andrew J. Thorpe, Michael L. Eastwood, Ian B. McCubbin, Winston Oslon-Duvall, Michael A. Bernas, Charles M. Sarture, Luis M. Rios, M. A. Hernandez, Brian D. Bue, Sarah R. Lundeen, Ryan Pavlick, John W. Chapman, Philip G. Brodrick, Regina F. Eckert, R. Willow Coleman, Latha Baskaran, Clayton D. Elder, Philip A. Townsend, Kyle R. Kovach, Shawn P. Serbin, Karl F. Huemmrich, Peter R. Nelson, Uma Bhatt, Matthew J. Macander, Debjani Singh, Michele Thornton, Daryl Yang, Isla Myers-Smith, Scott J. Goetz, Elizabeth E. Hoy, Elizabeth Larson, Dan Hodkinson, Hank A. Margolis, Michael Falkowski, Andrew Applejohn, Peter C. Griffith   +38 more
doaj   +2 more sources

A Hybrid Clustering Method with a Filter Feature Selection for Hyperspectral Image Classification [PDF]

Journal of Imaging, 2022
Hyperspectral images (HSI) provide ample spectral information of land cover. The hybrid classification method works well for HSI; however, how to select the suitable similarity measures as kernels with the appropriate weights of hybrid classification for
Junzhe Zhang
doaj   +2 more sources

ISBDD Model for Classification of Hyperspectral Remote Sensing Imagery [PDF]

Sensors, 2018
The diverse density (DD) algorithm was proposed to handle the problem of low classification accuracy when training samples contain interference such as mixed pixels. The DD algorithm can learn a feature vector from training bags, which comprise instances
Na Li, Zhaopeng Xu, Huijie Zhao, Xinchen Huang, Zhenhong Li, Jane Drummond, Daming Wang   +6 more
doaj   +4 more sources

Effect of Spatial and Spectral Scaling on Joint Characterization of the Spectral Mixture Residual: Comparative Analysis of AVIRIS and WorldView-3 SWIR for Geologic Mapping in Anza-Borrego Desert State Park [PDF]

Sensors, 2023
A geologic map is both a visual depiction of the lithologies and structures occurring at the Earth’s surface and a representation of a conceptual model for the geologic history in a region.
Jeffrey Price, Daniel Sousa, Francis J. Sousa   +2 more
doaj   +2 more sources

Reflectance spectra and AVIRIS-NG airborne hyperspectral data analysis for mapping ultramafic rocks in igneous terrain

Journal of Spectral Imaging, 2022
The layered Sittampundi Anorthosite Complex is covered by mafic and ultramafic rocks including anorthosite, gabbro, pyroxenite and other igneous rocks. The ultramafic terrain has frequently undergone metamorphism.
K. Tamilarasan, S. Anbazhagan, S. Uma Maheswaran, S. Ranjithkumar, K. N. Kusuma, V. J. Rajesh   +5 more
doaj   +1 more source

IDENTIFICATION OF IRON OXIDES MINERALS IN WESTERN JAHAJPUR REGION, INDIA USING AVIRIS-NG HYPERSPECTRAL REMOTE SENSING [PDF]

The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences, 2018
Hyperspectral remote sensing is being considered as an advanced technique for mineral identification of surficial deposits. In this research different iron oxides minerals such as limonite, goethite has been identified using AVIRIS-NG airborne ...
H. Govil, M. K. Tripathi, P. Diwan, S. Guha, Monika   +4 more
doaj   +1 more source

Hyperspectral Bare Soil Index (HBSI): Mapping Soil Using an Ensemble of Spectral Indices in Machine Learning Environment

Land, 2023
Spectral remote-sensing indices based on visible, NIR, and SWIR wavelengths are useful in predicting spatial patterns of bare soil. However, identifying an effective combination of informative wavelengths or spectral indices for mapping bare soil in a ...
Eric Ariel L. Salas, Sakthi Subburayalu Kumaran   +1 more
doaj   +1 more source

Potentials of Airborne Hyperspectral AVIRIS-NG Data in the Exploration of Base Metal Deposit—A Study in the Parts of Bhilwara, Rajasthan

Remote Sensing, 2021
In this study, we have processed the spectral bands of airborne hyperspectral data of Advanced Visible Infrared Imaging Spectrometer-Next Generation (AVIRIS-NG) data for delineating the surface signatures associated with the base metal mineralization in ...
Arindam Guha, Uday Kumar Ghosh, Joyasree Sinha, Amin Beiranvand Pour, Ratnakar Bhaisal, Snehamoy Chatterjee, Nikhil Kumar Baranval, Nisha Rani, K. Vinod Kumar, Pamaraju V. N. Rao   +9 more
doaj   +1 more source

A novel method to simulate AVIRIS-NG hyperspectral image from Sentinel-2 image for improved vegetation/wildfire fuel mapping, boreal Alaska

International Journal of Applied Earth Observations and Geoinformation, 2022
Detailed vegetation maps are one of the primary inputs for forest and wildfire management. Hyperspectral remote sensing is a proven technique for detailed and accurate vegetation mapping.
Anushree Badola, Santosh K. Panda, Dar A. Roberts, Christine F. Waigl, Randi R. Jandt, Uma S. Bhatt   +5 more
doaj   +1 more source

Identification of hydrothermal altered/weathered and clay minerals through airborne AVIRIS-NG hyperspectral data in Jahajpur, India

Heliyon, 2020
Advanced visible infrared imaging spectrometer-new generation (AVIRIS-NG) airborne Hyperspectral data has 5nm spectral resolution which allows us to identify characteristic spectral signatures of the different altered and weathered mineral assemblage. In
Mahesh Kumar Tripathi, H. Govil, S.L. Chattoraj   +2 more
doaj   +1 more source