Literature DB >> 28437992

A large airborne survey of Earth's visible-infrared spectral dimensionality.

David R Thompson, Joseph W Boardman, Michael L Eastwood, Robert O Green.   

Abstract

The intrinsic spectral dimensionality indicates the observable degrees of freedom in Earth's solar-reflected light field, quantifying the diversity of spectral content accessible by visible and infrared remote sensing. The solar-reflected regime spans the 0.38 - 2.5 μm interval, and is captured by a wide range of current and planned instruments on both airborne and orbital platforms. To date there has been no systematic study of its spectral dimensionality as a function of space, time, and land cover. Here we report a multi-site, multi-year statistical survey by NASA's "Classic" Airborne Visible Near InfraRed Spectrometer (AVIRIS-C). AVIRIS-C measured large regions of California, USA, spanning wide latitudinal and elevation gradients containing all canonical MODIS land cover types. The spectral uniformity of the AVIRIS-C design enabled consistent in-scene assessment of measurement noise across acquisitions. The estimated dimensionality as a function of cover type ranged from the low 20s to the high 40s, and was approximately 50 for the combined dataset. This result indicates the high diversity of physical processes distinguishable by imaging spectrometers like AVIRIS-C for one region of the Earth.

Year:  2017        PMID: 28437992     DOI: 10.1364/OE.25.009186

Source DB:  PubMed          Journal:  Opt Express        ISSN: 1094-4087            Impact factor:   3.894


  4 in total

1.  Detecting Unknown Artificial Urban Surface Materials Based on Spectral Dissimilarity Analysis.

Authors:  Marianne Jilge; Uta Heiden; Martin Habermeyer; André Mende; Carsten Juergens
Journal:  Sensors (Basel)       Date:  2017-08-08       Impact factor: 3.576

2.  Multisensor Analysis of Spectral Dimensionality and Soil Diversity in the Great Central Valley of California.

Authors:  Daniel Sousa; Christopher Small
Journal:  Sensors (Basel)       Date:  2018-02-14       Impact factor: 3.576

3.  Intrinsic Dimensionality as a Metric for the Impact of Mission Design Parameters.

Authors:  K Cawse-Nicholson; A M Raiho; D R Thompson; G C Hulley; C E Miller; K R Miner; B Poulter; D Schimel; F D Schneider; P A Townsend; S K Zareh
Journal:  J Geophys Res Biogeosci       Date:  2022-08-12       Impact factor: 4.432

4.  A low-cost and open-source platform for automated imaging.

Authors:  Max R Lien; Richard J Barker; Zhiwei Ye; Matthew H Westphall; Ruohan Gao; Aditya Singh; Simon Gilroy; Philip A Townsend
Journal:  Plant Methods       Date:  2019-01-28       Impact factor: 4.993

  4 in total

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