Development of a web-based vegetation spectral library (VSL) for remote sensing research and applications

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1 Climate Change Science Institute, Oak Ridge National Laboratory, Oak Ridge, Tennessee, USA
2 Department of Bioinformatics, University of Texas at El Paso, El Paso, USA
DOI
10.7287/peerj.preprints.915v1
Published
Accepted
Subject Areas
Data Science, Databases, Digital Libraries
Keywords
NDVI, Hyperspectral, Barrow, Alaska, Arctic, Spectral Library, Tundra
Copyright
© 2015 Goswami et al.
Licence
This is an open access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, reproduction and adaptation in any medium and for any purpose provided that it is properly attributed. For attribution, the original author(s), title, publication source (PeerJ PrePrints) and either DOI or URL of the article must be cited.
Cite this article
Goswami S, Matharasi K. 2015. Development of a web-based vegetation spectral library (VSL) for remote sensing research and applications. PeerJ PrePrints 3:e915v1

Abstract

All objects on the Earth's surface absorb and reflect portions of the electromagnetic spectrum. Depending on the composition of the material, every material has its characteristic spectral profile. The characteristic spectral profile for vegetation is often used to study how vegetation patterns at large spatial scales affect ecosystem structure and function. Analysis of spectroscopic data from the laboratory, and from various other platforms like aircraft or spacecraft, requires a knowledge base that consists of different characteristic spectral profiles for known different materials. This study reports on establishment of an online and searchable spectral library for a range of plant species and landcover types in the Arctic, Antarctic and Chihuahuan desert ecosystems. Field data were collected from Arctic Alaska, the Antarctic Peninsula and the Chihuahuan desert in the visible to near infrared (IR) range using a handheld portable spectrometer. The data have been archived in a database created using postgre sql with have been made publicly available on a plone web-interface.

Author Comment

This research was conducted as part of a PhD dissertation work.