Szczegóły publikacji

Opis bibliograficzny

Remote sensing methods in the study of the impact of long-term process of sulphur mining on environmental changes of the Carpathian Foreland / Krystyna Michałowska, Ewa Głowienka, Beata HEJMANOWSKA // W: BGC Geomatics 2017 [Dokument elektroniczny] : 2017 Baltic Geodetic Congress (Geomatics) : 22–25 June 2017, Gdansk, Poland : proceedings. — Wersja do Windows. — Dane tekstowe. — Piscataway : IEEE, cop. 2017. — e-ISBN: 978-1-5090-6040-5. — S. 292–296. — Wymagania systemowe: Adobe Reader. — Bibliogr. s. 296, Abstr. — Abstrakt W: Remote sensing methods in the study of the impact of long-term process of sulphur mining on environmental changes of the Carpathian Foreland / Krystyna Michałowska, Ewa Głowienka, Beata HEJMANOWSKA // W: Geomatics 2017 : archives of geomatics : Gdańsk, Poland 2017 : book of abstracts / eds. Karol Daliga, Dominika Wróblewska, Jakub Szulwic. — Gdańsk : Polish Internet Informant of Geodesy I-NET.PL Sp. J., 2017. — ISBN: 978-83-947357-9-1. — S. 144-145. — Bibliogr. s. 145. — Toż na: http://bgc.systemcoffee.pl/userfiles/file/BOOK [2017-06-28]

Autorzy (3)

Słowa kluczowe

vegetation indexessoil propertiesenvironmental monitoringremote sensingimage analysis

Dane bibliometryczne

ID BaDAP131679
Data dodania do BaDAP2020-12-21
Tekst źródłowyURL
DOI10.1109/BGC.Geomatics.2017.80
Rok publikacji2017
Typ publikacjimateriały konferencyjne (aut.)
Otwarty dostęptak
WydawcaInstitute of Electrical and Electronics Engineers (IEEE)
Konferencja2017 Baltic Geodetic Congress

Abstract

The paper presents research on the extent of impact of sulphur mining process and post-mining activities upon properties of selected elements of the environment, as well as the assessment of the influence of indirect effects resulting from many years' process of exploitation of sulphur deposits in the areas of the Carpathian Foreland (south-east Poland). Within the scope of research conducted, the assessment of the extent of impact of results connected with actual sulphur mining and post mining activities upon properties of selected elements of the environment, i.e. the state and condition of vegetation, forms of land coverage and the chemistry of soils, has been made. Moreover, an attempt has been made at developing an image data processing algorithm to automate the process of detecting environmental changes.

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