prikaz prve stranice dokumenta Višerezolucijsko modeliranje urbane zelene površine korištenjem LiDAR tehnologija
  Download
PDF 7.42 MB
master's thesis
Višerezolucijsko modeliranje urbane zelene površine korištenjem LiDAR tehnologija
2024. urn:nbn:hr:162:904577
Filko, Vlatka
University of Zadar
Department of Geography

Cite this document

Filko, V. (2024). Višerezolucijsko modeliranje urbane zelene površine korištenjem LiDAR tehnologija (Master's thesis). Zadar: University of Zadar. Retrieved from https://urn.nsk.hr/urn:nbn:hr:162:904577

Filko, Vlatka. "Višerezolucijsko modeliranje urbane zelene površine korištenjem LiDAR tehnologija." Master's thesis, University of Zadar, 2024. https://urn.nsk.hr/urn:nbn:hr:162:904577

Filko, Vlatka. "Višerezolucijsko modeliranje urbane zelene površine korištenjem LiDAR tehnologija." Master's thesis, University of Zadar, 2024. https://urn.nsk.hr/urn:nbn:hr:162:904577

Filko, V. (2024). 'Višerezolucijsko modeliranje urbane zelene površine korištenjem LiDAR tehnologija', Master's thesis, University of Zadar, accessed 06 April 2025, https://urn.nsk.hr/urn:nbn:hr:162:904577

Filko V. Višerezolucijsko modeliranje urbane zelene površine korištenjem LiDAR tehnologija [Master's thesis]. Zadar: University of Zadar; 2024 [cited 2025 April 06] Available at: https://urn.nsk.hr/urn:nbn:hr:162:904577

V. Filko, "Višerezolucijsko modeliranje urbane zelene površine korištenjem LiDAR tehnologija", Master's thesis, University of Zadar, Zadar, 2024. Available at: https://urn.nsk.hr/urn:nbn:hr:162:904577

Please login to the repository to save this object to your list.
Metadata
TitleVišerezolucijsko modeliranje urbane zelene površine korištenjem LiDAR tehnologija
Title (english)Multiscale modeling of urban green areas using LiDAR technologies
AuthorVlatka Filko
MentorAnte Šiljeg (mentor)
Committee memberFran Domazetović (predsjednik povjerenstva)
Committee memberIvan Marić (član povjerenstva)
Committee memberAnte Šiljeg (član povjerenstva)
GranterUniversity of Zadar
(Department of Geography)
Zadar
Defense date and country2024-02-28, Croatia
Scientific / art field,
discipline and subdiscipline		INTERDISCIPLINARY AREAS OF KNOWLEDGE
Geography
Applied Geography
Abstract
Urbane zelene površine napredno se i pouzdano modeliraju korištenjem LiDAR tehnologija. Glavni pristupi pri proučavanju zelenih površina geoprostornim tehnologijama su Area-Based i Tree-Centric pristup koji se međusobno razlikuju u samom objektu istraživanja kao šumi u cjelini ili individualnim stablima. U ovom istraživanju, na mezo i mikro razini koristio se pristup individualnog stabla kako bi se usporedile LiDAR tehnologije i softveri za izdvajanje stabala. Područje istraživanja je urbana... More zelena površina na sjevero-zapadnom dijelu naselja Zadar, mjesnom odboru Novi Bokanjac. Tijekom zračnog laserskog skeniranja korištena je bespilotna letjelica DJI Matrice M300 RTK s Zenmuse L1 LiDAR-om. Terestričko lasersko skeniranje provedeno je s Faro Focus-om M70 te mobilno lasersko skeniranje s GeoSLAM-om ZEB REVO. Istraživanje je provedeno na dvije razine, mezo razini čiji je cilj bio usporedba dobivenih ground modela i izdvojenih stabala, dok je mikro razina bila usmjerena na izdvajanje i računanje promjera debla stabla. Utvrđeno je da korišteni UAV sustav ima pogrešku RTK pozicioniranja u izmjerenim kontrolnim točkama manju od 10 cm. Potvrđeno je da se terestričkim laserskim skenerom mogu izdvojiti stabla čiji je promjer debla veći od 10 centimetara, kao i da se pomoću UAV sustava djelomično mogu generirati informacije o promjeru krošnje pojedinačnog stabla. Softver Spatix potvrđen je kao optimalno softversko rješenje koje je sveobuhvatno u modeliranju, analizi, identifikaciji i izdvajanju stabala. Relativna pogreška terestričkog laserskog sustava manja je od 5%, dok je kod GeoSLAM-a veća od 5%. Less
Abstract (english)
Urban green areas are being advancedly and reliably modeled using LiDAR technologies. The main approaches in studying green spaces with geospatial technologies are the Area-Based and Tree-Centric approaches, which differ in the object of study, such as the forest as a whole or individual trees. In this study, an individual tree approach was used at the meso and micro levels to compare LiDAR technologies and tree extraction software. The research area is an urban green space in the northwest... More part of the city of Zadar, Novi Bokanjac. During airborne laser scanning, a DJI Matrice M300 RTK drone with Zenmuse L1 LiDAR was used. Terrestrial laser scanning was conducted with a Faro Focus M70 and mobile laser scanning with a GeoSLAM ZEB REVO. The research was conducted at two levels: the meso level aimed to compare the obtained ground models and extracted trees, while the micro level focused on tree extraction and diameter calculation. It was found that the UAV system had an RTK positioning error in measured control points of less than 10 cm. It was confirmed that tree extraction is possible with a terrestrial laser scanner for trees with a diameter greater than 10 centimeters, and partially possible with a UAV system to generate crown diameter information for individual trees. The Spatix software was confirmed as an optimal software solution that is comprehensive in modeling, analysis, identification, and tree extraction. The relative error of the terrestrial laser system is less than 5%, while with GeoSLAM it is greater than 5%. Less
Keywords
Keywords (english)
Languagecroatian
URN:NBNurn:nbn:hr:162:904577
Study programmeTitle: Applied Geography (single major)
Study programme type: university
Study level: graduate
Academic / professional title: sveučilišni/a magistar/magistra geografije (sveučilišni/a magistar/magistra geografije)
Type of resourceText
File originBorn digital
Access conditionsOpen access
Terms of useLicence In copyright icon
Created on2024-04-09 15:40:44
accessibility

closeAccessibilityrefresh

If you wish to permanently save changes, click on Save, if not - your settings will be reset when you restart the browser.