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Sprejemljivost zaraščanja kot funkcija kakovosti kulturne krajine : prostorski model
Kobler, Andrej (Author), Pogačnik, Andrej (Mentor) More about this mentor... This link opens in a new window, Hočevar, Milan (Co-mentor)

URLURL - Presentation file, Visit http://www.digitalna-knjiznica.bf.uni-lj.si/md_kobler_andrej.pdf New window

Abstract
Izdelali smo kvantitativni prostorski model za vrednotenje vizualnoestetskega vidika kulturne krajine za del Notranjske in Primorske, ki kot glavni vhodni spremenljivki upošteva potek gozdnega roba ter zaraščanje opuščenih kmetijskihpovršin z gozdom. Model je namenjen velikopovršinskim obravnavam v regionalnem merilu in kot orodje za usmerjanje podrobnejših krajinskih analiz na problematična območja. Model je sinteza ekspertnega (vnaprejšnja opredelitev kriterijev vrednotenja na podlagi strokovne presoje) in statističnega pristopa (regresijski model, ki pojasnjuje že obstoječe vrednotenje drugih avtorjev s fizičnimi kazalniki, zajetimi v GIS). Podatke o zaraščanju smo pridobili s primerjavo arhivskih kart gozda in karte današnjegagozdnega roba. Slednjo smo izdelali z numerično interpretacijo satelitske slike Landsat TM, pri čemer smo uporabili kombinacijo nenadzorovanein vodene klasifikacije z odločitvenimi drevesi. Odločitvena drevesa smo pripravili s strojnim učenjem na podlagi baze podatkov CORINE LandCover. Model za vrednotenje vizualnoestetskega vidika krajine smo uporabili za opredelitev območja prednostne zaščite pred zaraščanjem.

Language:Slovenian
Keywords:vizualnoestetsko vrednotenje krajine, GIS, kulturna krajina, zaraščanje, modeliranje, daljinsko zaznavanje, Landsat TM, klasifikacija, Notranjska, Primorska
Work type:Master's thesis (m2)
Tipology:2.09 - Master's Thesis
Organization:BF - Biotechnical Faculty
Year:2001
Publisher:[A. Kobler]
Number of pages:187 str.
Place:Ljubljana
UDC:711:528.71:(497.12):(043.3)
COBISS.SI-ID:832678 Link is opened in a new window
Views:699
Downloads:188
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Secondary language

Language:English
Abstract:
A quantitative spatial model was made for visual - aesthetic assessment of cultural landscape in parts of Notranjska and Primorska regions. The main input variables were spatial patterns of forest edge and spontaneous afforestation of abandoned farmland. The model is intended for regional-scale analyses and as a tool for focusing more detailed assessment to particular problem areas. The model combines the expert approach (a priori definition of assessment criteria based on expert opinion) with a statistical approach (a regression model, explaining existing assessment of other authors with GIS-based physical landscape indices). The map of spontaneous afforestation was made by intersecting legacy forest map with an up-to-date forest edge map.The latter was made by numerical interpretation of a Landsat TM satellite image, where unsupervised classification was combined with decision tree basedclassification. The decision trees were generated by machine learning with the CORINE Land Cover database representing the target classes. The visual - aesthetic assessment model was used for defining areas of preferential protection against spontaneous afforestation.


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