The analysis of spatial and temporal changes of land cover and land use in the reclaimed areas with the application of airborne orthophotomaps and LANDSAT images

Abstract

The aim of this study was to investigate the possible use of geoinformatics tools and generally available geodata for mapping land cover/use on the reclaimed areas. The choice of subject was dictated by the growing number of such areas and the related problem of their restoration. Modern technology, including GIS, photogrammetry and remote sensing are relevant in assessing the reclamation effects and monitoring of changes taking place on such sites. The LULC classes mapping, supported with thorough knowledge of the operator, is useful tool for the proper reclamation process evaluation.The study was performed for two post-mine sites: reclaimed external spoil heap of the sulfur mine Machów and areas after exploitation of sulfur mine Jeziórko, which are located in the Tarnobrzeski district. The research materials consisted of aerial orthophotos, which were the basis of on-screen vectorization; LANDSAT satellite images, which were used in the pixel and object based classifi cation; and the CORINE Land Cover database as a general reference to the global maps of land cover and land use.

Using of Sentinel-2 images for automation of the forest succession detection

“…Referring to the papers on the use of Landsat images for monitoring of LULC changes and monitoring of agricultural land abandonment (Baker, Lawrence, Montagne, & Patten, 2006;Hall, Botkin, Strebel, Woods, & Goets, 1991;Prishchepov, Volker, Dubinin, & Alcantara, 2012;Reschkea & Hüttich, 2014;Szostak et al, 2015;Townsend et al, 2009), images Sentinel-2 (Bontemps et al, 2015) provide new possibilities of application, mainly due to better terrain resolution of spectral channels R, G, B and NIR. …”

“…In this study, the most popular classification methodsupervised classification -was used. The ObjectBased Image Analysis (OBIA) was the subject of the previous studies (Szostak, Wężyk, Hawryło, & Pietrzykowski, 2015;Szostak, Wężyk, Hawryło, & Puchała, 2016;Szostak et al, 2014). OBIA provides better results, but requires specialized software and user's knowledge.…”

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

“…For the LULC classes of broad-leaved forest, coniferous forest, and transitional woodland shrub, we can observe a dynamic change in growth. In previous studies [11][12][13], these areas showed an increase of spatial range in forested areas from the year 2000 to 2016, using image classification of Landsat 7 (2000), on-screen vectorization orthophoto (2009), Landsat 8 (2013), and the image classification of Sentinel-2 (2016).…”

“…For the Machów area, there are also important agricultural lands, as follows: arable lands and pastures, which covered a total of 38.7% of the analysed area according to the agroforestry type of reclamation for this area. According to the previous studies, based on Landsat 7 and Lansat 8 image processing [11][12][13], the increase in forested area for the period of time of 2000-2016 for Jeziórko was 13.3%, and for Machów was 14.6%. The forested areas in 2000 (Landsat 7) had a total value of 82.0% for Jeziórko, and 46.1% for Machów research area, and in 2013 (Landsat 8), Jeziórko was 93.8% and Machów was 50.5% [11][12][13].…”

Fusing Sentinel-2 Imagery and ALS Point Clouds for Defining LULC Changes on Reclaimed Areas by Afforestation

“…Finally, the results were converted from a raster to a vector layer in order to compare it to the results of a photointerpretation and on-screen vectorization orthophoto. The Sentinel-2 (ESA) classification results were also compared with previous studies [36]-the classification of Landsat 7 (NASA; 2000) and Landsat 8 (NASA; 2013) images. The participation of individual LULC classes in the research areas was calculated with a polygon tool to calculate each area.…”