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TZUNTIL:20170326T010000Z
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DTSTART:20141026T030000
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RDATE:20151025T030000
RDATE:20161030T030000
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UID:www.bayceer.uni-bayreuth.de-bayceer-t127655id
DTSTAMP:20260517T085916Z
DESCRIPTION:Detailed information on land use and land cover (LULC) is essen
 tial in many areas of environmental sciences. A constantly growing body of
  literature emphasizes the impact that changes in land use may have on Ear
 th's climate\, biodiversity and water cycle. Among different human land us
 e forms\, cultivated ecosystems (for production of food\, feed and fibre) 
 are particularly frequent and occupy roughly one third of the land surface
  (e.g. Chabbra et al\, 2006\, In: Land-use and land-cover change. Springer
 \, pp. 71–116). Cultivated ecosystems are frequently fragmented and underg
 o rapid changes in land use due to political or market influences.  In thi
 s talk\, I will focus on the Haean catchment (South Korea) - a mixed (agri
 cultural and forested) landscape that has been studied intensively in the 
 TERRECO (Complex Terrain and Ecological Heterogeneity) project. The land u
 se and land cover in this area have been documented in detail between 2009
  and 2011 revealing some shift in crops. To track such land use changes\, 
 remote sensing products can be used. However\, standard satellite products
  lack the necessary details to distinguish different crops. Therefore\, we
  derived our own classification using two different state-of-the-art machi
 ne learning algorithms (Random Forests and Support Vector Machines). Land 
 use and agricultural practices are closely related and affect soil and wat
 er. A typical cultivation method in Haean is ridge tillage with plastic mu
 lch. We analysed its consequences on infiltration patterns and formation o
 f surface run off. I will present the results of the classification and so
 il hydrology studies.
DTSTART;TZID=Europe/Berlin:20150521T120000
DTEND;TZID=Europe/Berlin:20150521T133000
LOCATION:H6\, Geo
SUMMARY:Dr. Christina Bogner\, Ökologische Modellbildung\, BayCEER\, UBT (H
 omepage): Analysing Land Use Change in Fragmented and Varying Landscapes
TRANSP:TRANSPARENT
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