A Spectral Emissivity Library of Spoil Substrates

Marek Pivovarník, Miroslav Pikl, Jan Frouz, František Zemek, Veronika Kopačková, Gila Notesco and Eyal Ben Dor
Additional contact information
Marek Pivovarník: Department of Remote Sensing, Global Change Research Institute CAS, Bělidla 986/4a, Brno 603 00, Czech Republic
Miroslav Pikl: Department of Remote Sensing, Global Change Research Institute CAS, Bělidla 986/4a, Brno 603 00, Czech Republic
Jan Frouz: Institute for Environmental Studies, Faculty of Science, Charles University in Prague, Benátská 2, Prague 128 43, Czech Republic
František Zemek: Department of Remote Sensing, Global Change Research Institute CAS, Bělidla 986/4a, Brno 603 00, Czech Republic
Veronika Kopačková: Remote Sensing Centre, Czech Geological Survey, Prague 1, Prague 118 21, Czech Republic
Gila Notesco: Remote Sensing Laboratory, Tel Aviv University, Tel Aviv 69978, Israel
Eyal Ben Dor: Remote Sensing Laboratory, Tel Aviv University, Tel Aviv 69978, Israel

Data, 2016, vol. 1, issue 2, 1-7

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.

Keywords: post-mining sites; spectral emissivity; spectral library; spoil substrates (search for similar items in EconPapers)
JEL-codes: C8 C80 C81 C82 C83 (search for similar items in EconPapers)
Date: 2016
References: View complete reference list from CitEc
Citations:

Downloads: (external link)
https://www.mdpi.com/2306-5729/1/2/12/pdf (application/pdf)
https://www.mdpi.com/2306-5729/1/2/12/ (text/html)

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:gam:jdataj:v:1:y:2016:i:2:p:12-:d:77920

Access Statistics for this article

Data is currently edited by Ms. Cecilia Yang

More articles in Data from MDPI
Bibliographic data for series maintained by MDPI Indexing Manager ().