1. Forest cover changes in Gorce NP (Poland) using photointerpretation of analogue photographs and GEOBIA of orthophotos and nDSM based on image-matching based approach
- Author
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Bartlomiej Janus, Markus Weidenbach, Marta Szostak, Piotr Wężyk, and Paweł Hawryło
- Subjects
Atmospheric Science ,Stereomatching ,Geospatial analysis ,010504 meteorology & atmospheric sciences ,forest change ,0211 other engineering and technologies ,Image processing ,02 engineering and technology ,computer.software_genre ,01 natural sciences ,lcsh:Oceanography ,Forest cover ,lcsh:GC1-1581 ,Computers in Earth Sciences ,021101 geological & geomatics engineering ,0105 earth and related environmental sciences ,General Environmental Science ,Land use ,National park ,Applied Mathematics ,lcsh:QE1-996.5 ,Orthophoto ,lcsh:Geology ,Deciduous ,Geography ,Remote sensing (archaeology) ,object-based image analysis ,Cartography ,computer - Abstract
Forest cover change can be detected with high precision using 3D geospatial data and semi-automatic analyses of Remote Sensing data. The aim of our study, performed in Gorce National Park in Poland, was to generate a land use land cover (LULC) map and use it to analyse forest cover change. The study area is a subalpine forest region that has been affected by bark beetle and wind disturbances. The Geographic Object-Based Image Analysis approach was used for classification, with Colour Infrared orthophotos and normalized Digital Surface Models generated using image-matching approach. Gathered results showed that dominating LULC class is coniferous forests (3380 ha; 47% of study area), when second largest class is deciduous forests (2204 ha; 30%). The dead Norway spruce stands (465.5 ha; 6.5%) showed significant increase comparing to 114.1 ha mapped in 1997.
- Published
- 2018