Paper
4 November 2014 Land cover disturbance due to tourism in Jeseniky mountain region: a remote sensing and GIS based approach
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Abstract
The Jeseníky Mountains tourism in Czech Republic is unique for its floristic richness, which is caused mainly by the altitude division and polymorphism of the landscape; climate and oil structure are other important factors. This study assesses the impacts of tourism on the land cover in the Jeseniky mountain region by comparing multi-temporal Landsat imagery (1991, 2001 and 2013) to describe the rate and extent of land-cover change throughout the Jeseniky mountain region. This was achieved through spectral classification of different land cover and by assessing the change in forest; settlements; pasture and agriculture in relation to increasing distances (5, 10 and 15 km) from three tourism site. The results indicate that the area was deforested (11.13%) from 1991 to 2001 than experienced forest regrowth (6.71%) from 2001 to 2013. In first decay pasture and agriculture areas was increase and then in next decay it was decrease. The influence of tourism facilities on land cover is also variable. Around each of the tourism site sampled there was a general trend of forest removal decreasing as the distance from each village increased, which indicates tourism does have a negative impact on forests. However, there was an opposite trend from 2001 to 2013 that indicate conservation area. The interplay among global (tourism, climate), regional (national policies, large-river management), and local (construction and agriculture, energy and water sources to support the tourism industry) factors drives a distinctive but complex pattern of land-use and land-cover disturbance.
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Mukesh Singh Boori and Vit Vozenilek "Land cover disturbance due to tourism in Jeseniky mountain region: a remote sensing and GIS based approach", Proc. SPIE 9245, Earth Resources and Environmental Remote Sensing/GIS Applications V, 92450T (4 November 2014); https://doi.org/10.1117/12.2065112
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Cited by 10 scholarly publications.
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KEYWORDS
Agriculture

Climatology

Remote sensing

Vegetation

Earth observing sensors

Geographic information systems

Landsat

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