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Data 2016, 1(2), 12; doi:10.3390/data1020012

A Spectral Emissivity Library of Spoil Substrates

1
Department of Remote Sensing, Global Change Research Institute CAS, Bělidla 986/4a, Brno 603 00, Czech Republic
2
Institute of Mathematics, Faculty of Mechanical Engineering, Brno University of Technology, Technická 2896/2, Brno 616 69, Czech Republic
3
Institute for Environmental Studies, Faculty of Science, Charles University in Prague, Benátská 2, Prague 128 43, Czech Republic
4
Remote Sensing Centre, Czech Geological Survey, Prague 1, Prague 118 21, Czech Republic
5
Remote Sensing Laboratory, Tel Aviv University, Tel Aviv 69978, Israel
*
Author to whom correspondence should be addressed.
Academic Editor: Juan C. Jiménez-Muñoz
Received: 25 May 2016 / Revised: 1 September 2016 / Accepted: 1 September 2016 / Published: 10 September 2016
(This article belongs to the Special Issue Temperature of the Earth)
View Full-Text   |   Download PDF [937 KB, uploaded 10 September 2016]   |  

Abstract

Post-mining sites have a significant impact on surrounding ecosystems. Afforestation can restore these ecosystems, but its success and speed depends on the properties of the excavated spoil substrates. Thermal infrared remote sensing brings advantages to the mapping and classification of spoil substrates, resulting in the determination of its properties. A library of spoil substrates containing spectral emissivity and chemical properties can facilitate remote sensing activities. This study presents spectral library of spoil substrates’ emissivities extracted from brown coal mining sites in the Czech Republic. Extracted samples were homogenized by drying and sieving. Spectral emissivity of each sample was determined by spectral smoothing algorithm applied to data measured by a Fourier transform infrared (FTIR) spectrometer. A set of chemical parameters (pH, conductivity, Na, K, Al, Fe, loss on ignition and polyphenol content) and toxicity were determined for each sample as well. The spectral library presented in this paper also offers valuable information in the form of geographical coordinates for the locations where samples were obtained. Presented data are unique in nature and can serve many remote sensing activities in longwave infrared electromagnetic spectrum. View Full-Text
Keywords: post-mining sites; spectral emissivity; spectral library; spoil substrates post-mining sites; spectral emissivity; spectral library; spoil substrates
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This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited. (CC BY 4.0).

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MDPI and ACS Style

Pivovarník, M.; Pikl, M.; Frouz, J.; Zemek, F.; Kopačková, V.; Notesco, G.; Ben Dor, E. A Spectral Emissivity Library of Spoil Substrates. Data 2016, 1, 12.

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