Landscape monitoring of post-industrial area using lidar point clouds and sentinel-2 images

Marta Szostak , Tomasz Furgała , Kacper Knapik

Abstract

The study was performer AT the former Machów 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 preise information about of the structure of vegetation in terms to the effect of reclamation. The result 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.
Author Marta Szostak (FoF / IoFRM / DoFDGaEoF)
Marta Szostak,,
- DEPARTMENT OF FOREST DEVICES, GEOMATICS AND ECONOMICS OF FORESTRY
, Tomasz Furgała
Tomasz Furgała,,
-
, Kacper Knapik
Kacper Knapik,,
-
Pages431-438
Publication size in sheets0.5
Book 19th International Multidisciplinary Scientific Geoconference SGEM 2019: Conference Proceedings: vol 19: Ecology, Economics, Education And Legislation, Issue: 5.1: Ecology and Environmental Protection, International Multidisciplinary Scientific GeoConference & EXPO SGEM, vol. 19, 2019, STEF92 Technology, ISBN 978-619-7408-84-3, 832 p., DOI:10.5593/sgem2019/5.1
Keywords in Englishimage processing, ALS point clouds, spatial analyses , reclamation
DOIDOI:10.5593/sgem2019/5.1
Languageen angielski
Score (nominal)5
Score sourcepublisherList
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FinansowanieResearch was financed by the Ministry of Science and Higher Education
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