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Title: LANDSCAPE MONITORING OF POST-INDUSTRIAL AREA USING LIDAR POINT CLOUDS AND SENTINEL-2 IMAGES
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LANDSCAPE MONITORING OF POST-INDUSTRIAL AREA USING LIDAR POINT CLOUDS AND SENTINEL-2 IMAGES
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1314-2704
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English
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19
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5.1
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The study was performed at the former Machow sulphur mine ? 871.7 ha of dump area reclaimed after open-cast strip mining. The area was characterized by the terrain structure and vegetation cover resulting from the reclamation process. The applied direction of reclamation for this area was agroforestry.
The study showed the possibility of using Sentinel-2 satellite images and airborne laser scanning point clouds for the land use and land cover (LULC) mapping, especially forested areas and deriving precise information about of the structure of vegetation in terms to the effect of reclamation. The results of the Sentinel-2 (2016) image classification showed a graphical representation of the LULC classes. Airborne laser scanning (ALS) point clouds were used to obtain precise spatial information (3D) on the terrain and vegetation structure. Detailed vegetation parameters especially height and canopy cover were calculated. |
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conference
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19th International Multidisciplinary Scientific GeoConference SGEM 2019
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19th International Multidisciplinary Scientific GeoConference SGEM 2019, 30 June - 6 July, 2019
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Proceedings Paper
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STEF92 Technology
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International Multidisciplinary Scientific GeoConference-SGEM
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Bulgarian Acad Sci; Acad Sci Czech Republ; Latvian Acad Sci; Polish Acad Sci; Russian Acad Sci; Serbian Acad Sci & Arts; Slovak Acad Sci; Natl Acad Sci Ukraine; Natl Acad Sci Armenia; Sci Council Japan; World Acad Sci; European Acad Sci, Arts & Letters; Ac
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431-438
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30 June - 6 July, 2019
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website
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cdrom
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6004
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image processing; ALS point clouds; spatial analyses; reclamation
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