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Monitorowanie zasięgu roślinności o charakterze leśnym w obszarach rekultywowanych z zastosowaniem zobrazowań satelitarnych Sentinel−2

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Title: Monitorowanie zasięgu roślinności o charakterze leśnym w obszarach rekultywowanych z zastosowaniem zobrazowań satelitarnych Sentinel−2
Authors: Szostak, Marta, Knapik, Kacper, Likus-Cieślik, Justyna, Wężyk, Piotr, Pietrzykowski, Marcin
Publisher Information: Polskie Towarzystwo Leśne, 2019.
Publication Year: 2019
Subject Terms: reclamation, manual vectorization, spatial analyses, 15. Life on land, image processing
Description: Presented research investigates the possibility of applying the newest, free available satellite images Sentinel−2 for the automation of land use/cover (LULC) mapping in reclaimed areas, mainly in the aspect of monitoring forested areas. The study was performed for the former sulphur mines: ‘Machów’ (871.7 ha of the dump area after the opencast strip mine) and ‘Jeziórko’ (216.5 ha of the afforested area after the borehole exploitation). These areas are characterized by a diverse terrain structure and vegetation cover as the result of reclamation. The applied directions of reclamation were agro−forestry for the Sulphur Mine ‘Machów’ and forestry for the Sulphur Mine ‘Jeziórko’. We verified whether processing of Sentinel−2 data allows for reliable LULC classification – mainly identification forested areas in relation to the LULC mapping prepared by manual vectorization of orthophotomaps. Obtained classification results for Sentinel−2 data were also compared to the results of Landsat 8 images processing. The results of Sentinel−2 images classification showed correct graphical representation of the LULC classes, especially forested areas, in the relation to the results of applied on−screen vectorization of aerial orthophotomaps – better than results of the Landsat 8 images processing. The area of the mail class ‘Forests’ as a result of classification Sentinel−2 and Landsat 8 images compared to the results of manual on−screen vectorization of the orthophomaps shows differences: 5.4% – Sentinel−2, 12.8% – Landsat 8 for Sulphur Mine ‘Machów’ and 1.8% – Sentinel−2, 8.8% – Landsat 8 for Sulphur Mine ‘Jeziórko’. Research indicates the possibility of automation of LULC classification using Sentinel−2 images. It could be very useful for LULC changes monitoring in reclaimed areas, mainly in the aspect of forested areas mapping as a result of way of reclamation.
Sylwan 163 (1): 55-61
Document Type: Article
Language: Polish
DOI: 10.26202/sylwan.2018090
Accession Number: edsair.doi...........57a6d8ffae94d2f4dfc54f64fc8da950
Database: OpenAIRE
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  Data: Monitorowanie zasięgu roślinności o charakterze leśnym w obszarach rekultywowanych z zastosowaniem zobrazowań satelitarnych Sentinel−2
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  Data: <searchLink fieldCode="AR" term="%22Szostak%2C+Marta%22">Szostak, Marta</searchLink><br /><searchLink fieldCode="AR" term="%22Knapik%2C+Kacper%22">Knapik, Kacper</searchLink><br /><searchLink fieldCode="AR" term="%22Likus-Cieślik%2C+Justyna%22">Likus-Cieślik, Justyna</searchLink><br /><searchLink fieldCode="AR" term="%22Wężyk%2C+Piotr%22">Wężyk, Piotr</searchLink><br /><searchLink fieldCode="AR" term="%22Pietrzykowski%2C+Marcin%22">Pietrzykowski, Marcin</searchLink>
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  Data: Polskie Towarzystwo Leśne, 2019.
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  Data: <searchLink fieldCode="DE" term="%22reclamation%22">reclamation</searchLink><br /><searchLink fieldCode="DE" term="%22manual+vectorization%22">manual vectorization</searchLink><br /><searchLink fieldCode="DE" term="%22spatial+analyses%22">spatial analyses</searchLink><br /><searchLink fieldCode="DE" term="%2215%2E+Life+on+land%22">15. Life on land</searchLink><br /><searchLink fieldCode="DE" term="%22image+processing%22">image processing</searchLink>
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  Data: Presented research investigates the possibility of applying the newest, free available satellite images Sentinel−2 for the automation of land use/cover (LULC) mapping in reclaimed areas, mainly in the aspect of monitoring forested areas. The study was performed for the former sulphur mines: ‘Machów’ (871.7 ha of the dump area after the opencast strip mine) and ‘Jeziórko’ (216.5 ha of the afforested area after the borehole exploitation). These areas are characterized by a diverse terrain structure and vegetation cover as the result of reclamation. The applied directions of reclamation were agro−forestry for the Sulphur Mine ‘Machów’ and forestry for the Sulphur Mine ‘Jeziórko’. We verified whether processing of Sentinel−2 data allows for reliable LULC classification – mainly identification forested areas in relation to the LULC mapping prepared by manual vectorization of orthophotomaps. Obtained classification results for Sentinel−2 data were also compared to the results of Landsat 8 images processing. The results of Sentinel−2 images classification showed correct graphical representation of the LULC classes, especially forested areas, in the relation to the results of applied on−screen vectorization of aerial orthophotomaps – better than results of the Landsat 8 images processing. The area of the mail class ‘Forests’ as a result of classification Sentinel−2 and Landsat 8 images compared to the results of manual on−screen vectorization of the orthophomaps shows differences: 5.4% – Sentinel−2, 12.8% – Landsat 8 for Sulphur Mine ‘Machów’ and 1.8% – Sentinel−2, 8.8% – Landsat 8 for Sulphur Mine ‘Jeziórko’. Research indicates the possibility of automation of LULC classification using Sentinel−2 images. It could be very useful for LULC changes monitoring in reclaimed areas, mainly in the aspect of forested areas mapping as a result of way of reclamation.<br />Sylwan 163 (1): 55-61
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      – SubjectFull: reclamation
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      – SubjectFull: spatial analyses
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      – TitleFull: Monitorowanie zasięgu roślinności o charakterze leśnym w obszarach rekultywowanych z zastosowaniem zobrazowań satelitarnych Sentinel−2
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