Reclaimed Area Land Cover Mapping Using Sentinel-2 Imagery and LiDAR Point Clouds

Marta Szostak , Marcin Pietrzykowski , Justyna Likus-Cieślik

Abstract

This paper investigates the possibility of using fusion Sentinel-2 imageries (2016, ESA) and light detection and ranging (LiDAR) point clouds for the automation of land cover mapping with a primary focus on detecting and monitoring afforested areas and deriving precise information about the spatial (2D and 3D) characteristics of vegetation for reclaimed areas. The study was carried out for reclaimed areas – two former sulfur mines located in Southeast Poland, namely, Jeziórko, where 216.5 ha of afforested area was reclaimed after borehole exploitation, and Machów, where 871.7 ha of dump area was reclaimed after open cast strip mining. The current land use and land cover (LULC) classes at the Machów and Jeziórko former sulfur mines are derived based on Sentinel-2 image processing, and confirmed the applied type of reclamation for both analysed areas. The following LULC classes showed a significant spatial range: broad-leaved forest, coniferous forest, and transitional woodland shrub. The progress of afforested areas, not only in terms of the occupied area, but also in terms of the growth of trees and shrubs, was confirmed. The results of the study showed differences in vegetation parameters, namely, height and canopy cover. Various stages of vegetation growth were also observed. This indicates an ongoing process of vegetation development, as an effect of the reclamation treatment for these areas.
Author Marta Szostak (FoF / IoFRM / DoFDGaEoF)
Marta Szostak,,
- DEPARTMENT OF FOREST DEVICES, GEOMATICS AND ECONOMICS OF FORESTRY
, Marcin Pietrzykowski (FoF / DoEaFB)
Marcin Pietrzykowski,,
- DEPARTMENT OF ECOLOGY AND FOREST BREEDING
, Justyna Likus-Cieślik (FoF / DoEaFB)
Justyna Likus-Cieślik,,
- DEPARTMENT OF ECOLOGY AND FOREST BREEDING
Journal seriesRemote Sensing, ISSN 2072-4292, (N/A 100 pkt)
Issue year2020
Vol12
No2
Pages1-20
Publication size in sheets0.95
Keywords in Englishairborne laser scanning; spatial structure of vegetation; land cover changes; image classification
ASJC Classification1900 General Earth and Planetary Sciences
DOIDOI:10.3390/rs12020261
URL https://www.mdpi.com/2072-4292/12/2/261/htm
Languageen angielski
LicenseJournal (articles only); published final; Uznanie Autorstwa (CC-BY); with publication
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Reclaimed Area Land Cover Mapping Using Sentinel-2 Imagery and LiDAR Point Clouds of 15-01-2020
13,86 MB
Score (nominal)100
Score sourcejournalList
Publication indicators WoS Citations = 0; Scopus SNIP (Source Normalised Impact per Paper): 2017 = 1.559; WoS Impact Factor: 2018 = 4.118 (2) - 2018=4.74 (5)
Citation count*
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Wkład autorówConceptualization, M.S., M.P.; methodology, M.S.; software, M.S.; validation, M.S.; formal analysis, M.S and J.L.-C.; visualization, M.S.; writing—original draft preparation, M.S.; M.P. and J.L.-C.; supervision, M.S.; M.P.; writing—review, M.S.; M.P. and J.L.-C. All authors have read and agreed to the published version of the manuscript.
FinansowanieThis research was funded by the Ministry of Science and Higher Education of the Republic of Poland.
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* presented citation count is obtained through Internet information analysis and it is close to the number calculated by the Publish or Perish system.
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