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 |
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| 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 |
Nájsť tento článok vo Web of Science | Abstract: | 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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| DOI: | 10.26202/sylwan.2018090 |