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master's thesis
Praćenje zdravstvenog stanja stabala u Park šumi Maksimir metodama daljinskih istraživanja
Zagreb: University of Zagreb, Faculty of Forestry, 2017. urn:nbn:hr:108:550543
Zagoranski, Franka
University of Zagreb
Faculty of Forestry and Wood Technology
Institute of Forest Inventory and Management

Cite this document

Zagoranski, F. (2017). Praćenje zdravstvenog stanja stabala u Park šumi Maksimir metodama daljinskih istraživanja (Master's thesis). Zagreb: University of Zagreb, Faculty of Forestry and Wood Technology. Retrieved from https://urn.nsk.hr/urn:nbn:hr:108:550543

Zagoranski, Franka. "Praćenje zdravstvenog stanja stabala u Park šumi Maksimir metodama daljinskih istraživanja." Master's thesis, University of Zagreb, Faculty of Forestry and Wood Technology, 2017. https://urn.nsk.hr/urn:nbn:hr:108:550543

Zagoranski, Franka. "Praćenje zdravstvenog stanja stabala u Park šumi Maksimir metodama daljinskih istraživanja." Master's thesis, University of Zagreb, Faculty of Forestry and Wood Technology, 2017. https://urn.nsk.hr/urn:nbn:hr:108:550543

Zagoranski, F. (2017). 'Praćenje zdravstvenog stanja stabala u Park šumi Maksimir metodama daljinskih istraživanja', Master's thesis, University of Zagreb, Faculty of Forestry and Wood Technology, accessed 24 April 2024, https://urn.nsk.hr/urn:nbn:hr:108:550543

Zagoranski F. Praćenje zdravstvenog stanja stabala u Park šumi Maksimir metodama daljinskih istraživanja [Master's thesis]. Zagreb: University of Zagreb, Faculty of Forestry and Wood Technology; 2017 [cited 2024 April 24] Available at: https://urn.nsk.hr/urn:nbn:hr:108:550543

F. Zagoranski, "Praćenje zdravstvenog stanja stabala u Park šumi Maksimir metodama daljinskih istraživanja", Master's thesis, University of Zagreb, Faculty of Forestry and Wood Technology, Zagreb, 2017. Available at: https://urn.nsk.hr/urn:nbn:hr:108:550543

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Metadata
TitlePraćenje zdravstvenog stanja stabala u Park šumi Maksimir metodama daljinskih istraživanja
Title (english)Title Monitoring the health status of trees in park forest Maksimir using remote sensing methods
AuthorFranka Zagoranski
MentorRenata Pernar (mentor)
Committee memberRenata Pernar (predsjednik povjerenstva)
Committee memberAnte Seletković (član povjerenstva)
Committee memberMario Ančić (član povjerenstva)
GranterUniversity of Zagreb
Faculty of Forestry and Wood Technology
(Institute of Forest Inventory and Management)
Zagreb
Defense date and country2017-09-08, Croatia
Scientific / art field,
discipline and subdiscipline		BIOTECHNICAL SCIENCES
Forestry
Abstract
Maksimir je najpoznatija i najposjećenija zagrebačka park šuma, te vrlo korišten rekreacijski prostor uklopljen u urbano područje, a ujedno je ekološko uporište koje osigurava općekorisne dobrobiti. Od perioda proglašenja park šumom, do danas doživio je mnogo promjena, no i dalje je to jedinstven skup prirodnih šumskih sastojina. Zbog promjena u okolišu i starosti, zdravstveno stanje stabala je narušeno. Da bi što bolje pratili to stanje potrebno je provesti inventarizaciju oštećenosti. To se do sada radilo uglavnom terestričkim opažanjima, a danas se sve više koriste metode daljinskih istraživanja. U radu će se na satelitskoj snimci WorldView 2 provesti interpretacija zdravstvenog stanja pojedinačnih stabala na sistematskom uzorku 25x25m. Na temelju rezultata interpretacije izračunati će se pokazatelji oštećenosti za pojedine vrste drveća i ukupno za cijelo snimljeno područje park šume Maksimir, te izraditi tematske karte prostornog rasporeda oštećenosti. Budući da se kvalitetno praćenje stanja šuma zasniva na sustavno prikupljanju podataka o šumama na nekom prostoru i u nekom vremenu, dobiveni rezultati predstavljaju trenutno zdravstveno stanje, te su podloga za praćenje i predviđanje budućega stanja. U urbanim sredinama posebno je značajno da se promjene zdravstvenog stanja stabala pravovremeno predvide, kako bi se bolesna stabla mogla ukloniti i zamijeniti novima.
Abstract (english)
Maksimir is the most famous and most visited Zagreb forest park, and a well-used recreational space embedded in the urban area, and also an ecological base that provides general welfare. From the period of proclamation of the forest park, there have been many changes so far, but this is still a unique set of natural forest stands. Due to changes in the environment and age, the health status of the trees is impaired. In order to better monitor this situation, it is necessary to carry out the inventory of the damage. This has been largely terrestrial observations so far, and today remote sensing methods are increasingly being used. The work on the WorldView 2 satellite will be used to interpret the health status of individual trees on a systematic sample of 25x25m. Based on the results of the interpretation, the indicators Dokumentacijska kartica of damage for each tree species and total for the entire recorded area of the forest park Maksimir will be calculated and the thematic maps of the spatial distribution of damage will be created. Since quality forest monitoring is based on a systematic collection of forest data in some areas and at some point in time, the resulting results represent the current state of health and are the basis for monitoring and predicting the future status. In urban environments, it is particularly important that the health status changes of the trees are timely predicted so that the sick trees can be removed and replaced by new ones.
Keywords
Keywords (english)
Languagecroatian
URN:NBNurn:nbn:hr:108:550543
Study programmeTitle: Urban Forestry, Nature Conservation and Environment Protection
Study programme type: university
Study level: graduate
Academic / professional title: sveučilišni/a magistar/magistra inženjer/inženjerka urbanog šumarstva zaštita prirode i okoliša (sveučilišni/a magistar/magistra inženjer/inženjerka urbanog šumarstva zaštita prirode i okoliša)
Type of resourceText
File originBorn digital
Access conditionsAccess restricted to students and staff of home institution
Terms of useLicence In copyright icon
RepositoryUniversity of Zagreb Faculty of Forestry and Wood Technology
Created on2017-10-26 12:04:57

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