Automated Land Cover Change Detection and Forest Succession Monitoring Using LiDAR Point Clouds and GIS Analyses

This paper investigates the possibility of applying light detection and ranging (LiDAR) point clouds and geographic information system (GIS) analyses for land use and land cover (LULC) change detection, mainly with a view to monitoring uncontrolled forest succession occurring on postagricultural lan...

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Main Author: Marta Szostak
Format: Article
Language:English
Published: MDPI AG 2020-08-01
Series:Geosciences
Subjects:
Online Access:https://www.mdpi.com/2076-3263/10/8/321
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author Marta Szostak
author_facet Marta Szostak
author_sort Marta Szostak
collection DOAJ
description This paper investigates the possibility of applying light detection and ranging (LiDAR) point clouds and geographic information system (GIS) analyses for land use and land cover (LULC) change detection, mainly with a view to monitoring uncontrolled forest succession occurring on postagricultural lands. The research was conducted in a part of the administrative district of Milicz (in the central-west area of Poland). The areas of interest were parcels in which agricultural use has been abandoned and forest succession processes have progressed. The airborne laser scanning (ALS) data (acquired in 2007, 2012, and 2015) revealed detailed changes in land cover as a result of the progression in the forest succession process. Using the ALS data, the LULC changes and the progress of secondary forest succession are shown, and the vegetation parameters (LiDAR metrics) are presented.
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spelling doaj.art-f16560a575824c758e4cd0fb11fd6c4a2023-11-20T10:22:58ZengMDPI AGGeosciences2076-32632020-08-0110832110.3390/geosciences10080321Automated Land Cover Change Detection and Forest Succession Monitoring Using LiDAR Point Clouds and GIS AnalysesMarta Szostak0Department of Forest Resources Management, Faculty of Forestry, University of Agriculture in Krakow, al. 29 listopada 46, 31-425 Kraków, PolandThis paper investigates the possibility of applying light detection and ranging (LiDAR) point clouds and geographic information system (GIS) analyses for land use and land cover (LULC) change detection, mainly with a view to monitoring uncontrolled forest succession occurring on postagricultural lands. The research was conducted in a part of the administrative district of Milicz (in the central-west area of Poland). The areas of interest were parcels in which agricultural use has been abandoned and forest succession processes have progressed. The airborne laser scanning (ALS) data (acquired in 2007, 2012, and 2015) revealed detailed changes in land cover as a result of the progression in the forest succession process. Using the ALS data, the LULC changes and the progress of secondary forest succession are shown, and the vegetation parameters (LiDAR metrics) are presented.https://www.mdpi.com/2076-3263/10/8/321airborne laser scanningLiDAR metricssecondary forest successionland abandonmentLULC changes
spellingShingle Marta Szostak
Automated Land Cover Change Detection and Forest Succession Monitoring Using LiDAR Point Clouds and GIS Analyses
Geosciences
airborne laser scanning
LiDAR metrics
secondary forest succession
land abandonment
LULC changes
title Automated Land Cover Change Detection and Forest Succession Monitoring Using LiDAR Point Clouds and GIS Analyses
title_full Automated Land Cover Change Detection and Forest Succession Monitoring Using LiDAR Point Clouds and GIS Analyses
title_fullStr Automated Land Cover Change Detection and Forest Succession Monitoring Using LiDAR Point Clouds and GIS Analyses
title_full_unstemmed Automated Land Cover Change Detection and Forest Succession Monitoring Using LiDAR Point Clouds and GIS Analyses
title_short Automated Land Cover Change Detection and Forest Succession Monitoring Using LiDAR Point Clouds and GIS Analyses
title_sort automated land cover change detection and forest succession monitoring using lidar point clouds and gis analyses
topic airborne laser scanning
LiDAR metrics
secondary forest succession
land abandonment
LULC changes
url https://www.mdpi.com/2076-3263/10/8/321
work_keys_str_mv AT martaszostak automatedlandcoverchangedetectionandforestsuccessionmonitoringusinglidarpointcloudsandgisanalyses