Sprejemljivost zaraščanja kot funkcija kakovosti kulturne krajine

prostorski model

Andrej Kobler (Author), Andrej Pogačnik (Mentor), Milan Hočevar (Co-mentor)

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.

Keywords

vizualnoestetsko vrednotenje krajine;GIS;kulturna krajina;zaraščanje;modeliranje;daljinsko zaznavanje;Landsat TM;klasifikacija;Notranjska;Primorska;

Data

Language:	Slovenian
Year of publishing:	2001
Source:	Ljubljana
Typology:	2.09 - Master's Thesis
Organization:	UL - University of Ljubljana
Publisher:	[A. Kobler]
UDC:	711:528.71:(497.12):(043.3)
COBISS:	832678
Views:	1340
Downloads:	370
Average score:	0 (0 votes)
Metadata:

Other data

Secondary language:	English
Secondary 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.
Type (COBISS):	Master's thesis
Pages:	187 str.
Keywords (UDC):	the arts;recreation;entertainment;sport;umetnost;razvedrilo;zabava;šport;physical planning;regional;town and country planning;landscapes;parks;gardens;urejanje prostora;urejanje pokrajin;mest in podeželja;pokrajine;parki;vrtovi;principles and practice of physical planning;regional;town and country planning;načela in praksa urejanja prostora;urejanje pokrajin;mest in podeželja;mathematics;natural sciences;naravoslovne vede;matematika;astronomy;astrophysics;space research;geodesy;astronomija;astrofizika;raziskovanje vesolja;geodesy;surveying;photogrammetry;remote sensing;cartography;geodezija;pregled terena;fotogrametrija;daljinsko zaznavanje;kartografija;photogrammetry: aerial;terrestrial;aerofotogrametrija;terestrična fotogrametrija;
ID:	52615