Linking Online Spectral Libraries with Hyperspectral Test Data through Library Building Tools and Code

Authored by: Muhammad Al-Amin Hoque , Stuart Phinn

Fundamentals, Sensor Systems, Spectral Libraries, and Data Mining for Vegetation

Print publication date:  December  2018
Online publication date:  December  2018

Print ISBN: 9781138058545
eBook ISBN: 9781315164151
Adobe ISBN:

10.1201/9781315164151-6

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Abstract

Current hyperspectral sensors using field, airborne, and satellite platforms provide very high spectral, spatial, and temporal resolution datasets for various applications. Appropriately collected and published datasets for hyperspectral data analysis are becoming more important due to their standardied collection procedures, data storage formats, metadata, and licensing, all of which enable effective re-use and sharing with other scientists and technicians. Although extensive literature is available on field-based, airborne, and satellite hyperspectral data analysis, there is a smaller set published material on systematic collections and aggregations of these datasets. This chapter explains how spectral libraries or databases of consistently collected, attributed, and stored: field, airborne and satellite spectral reflectance, absorption and transmission data are established and used to develop and assess remote sensing applications. The current capabilities of existing linking approaches are evaluated and specified future directions for development are provided.

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