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LANDSCAPE MONITORING OF POST-INDUSTRIAL AREA USING LIDAR POINT CLOUDS AND SENTINEL-2 IMAGES

Marta Szostak

First published: 2019-06-20https://doi.org/10.5593/sgem2019/5.1/s20.054View metrics

Abstract

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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Publication details

Title
LANDSCAPE MONITORING OF POST-INDUSTRIAL AREA USING LIDAR POINT CLOUDS AND SENTINEL-2 IMAGES
Authors
Marta Szostak
Proceedings
SGEM International Multidisciplinary Scientific GeoConference EXPO Proceedings; 19th International Multidisciplinary Scientific GeoConference SGEM2019, Ecology, Economics, Education and Legislation
Publisher
STEF92 Technology
Year
2019
Pages
431-438
SWS Citekey
Szostak201920431438
ISSN
1314-2704
ISBN
978-619-7408-84-3
Language
en
Publication type
Conference Paper
Keywords
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Number of times cited according to Crossref: 2

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