2019
DOI: 10.1080/1747423x.2019.1709226
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Aerial laser scanning reveals the dynamics of cropland abandonment in Poland

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Cited by 11 publications
(2 citation statements)
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“…The commonly used method identified abandoned farmland by analyzing the inter-annual land use change in a given study area. Subsequently, the driving factors and spatial determinants of farmland abandonment [ 151 , 152 ] were determined by mathematical models. For example, Baumann et al [ 42 ] plotted the abandoned farmland in the post-socialist period of western Ukraine, using the support vector machine classification method and Landsat images from 1986 to 2008, and determined the spatial determinants of abandonment using a combination of the optimal subset linear regression model and hierarchical division.…”
Section: Resultsmentioning
confidence: 99%
“…The commonly used method identified abandoned farmland by analyzing the inter-annual land use change in a given study area. Subsequently, the driving factors and spatial determinants of farmland abandonment [ 151 , 152 ] were determined by mathematical models. For example, Baumann et al [ 42 ] plotted the abandoned farmland in the post-socialist period of western Ukraine, using the support vector machine classification method and Landsat images from 1986 to 2008, and determined the spatial determinants of abandonment using a combination of the optimal subset linear regression model and hierarchical division.…”
Section: Resultsmentioning
confidence: 99%
“…
Dynamically growing remote sensing and geographic information system (GIS) technologies are gaining popularity all over the world as tools for environmental analysis [1][2][3]. Remote sensing additionally provides data for mapping the surface of the Earth [4,5], identification of landslides [6], and environmental monitoring [7][8][9]. Moreover, in the time of widespread digitalisation, the domain of remote sensing methods and IT systems that support environmental analysis and cultural heritage decision-making is an important player.
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mentioning
confidence: 99%