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Uporaba programa FME za sistematično spremljanje vegetacije s satelitskimi posnetki : magistrsko delo
Stropnik, Klemen (Author), Oštir, Krištof (Mentor) More about this mentor... This link opens in a new window, Tekavec, Jernej (Co-mentor)

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Abstract
V magistrskem delu smo z uporabo programov FME Desktop in FME Server razvili samodejen postopek za sistematično spremljanje stanja vegetacije s satelitskimi posnetki. V namizni aplikaciji FME Workbench smo sestavili procesni model, s katerim za poljubno območje pridobimo najnovejši satelitski posnetek, ki ustreza določenim kriterijem kakovosti. Na satelitskem posnetku nato izračunamo vegetacijski indeks NDVI ter ga obrežemo na velikost predhodno določenega območja. Izdelan model smo prenesli na FME Server, kjer smo nastavili urnik, na podlagi katerega se bo model na strežniku samodejno izvajal. V primeru sprememb se nove datoteke z rezultati zapišejo v izbrano mapo na strežniku. Mapa je z uporabo programa Backup and Sync povezana s spletno shrambo Google Drive, kar uporabniku omogoča dostop do rezultatov tudi z oddaljene naprave. Takšen samodejni proces uporabniku prihrani veliko časa in omogoča sistematično spremljanje rezultatov, saj ni vedno znova potrebno spreminjati nastavitev in zaganjati programa.

Language:Slovenian
Keywords:FME Desktop, FME Server, Sentinel-2, NDVI
Work type:Master's thesis/paper (mb22)
Tipology:2.09 - Master's Thesis
Organization:FGG - Faculty of Civil and Geodetic Engineering
Year:2018
Publisher:[K. Stropnik]
UDC:528.8.04:528.931(043.3)
COBISS.SI-ID:8560993 Link is opened in a new window
Views:1208
Downloads:462
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Secondary language

Language:English
Title:Application of FME software for systematic monitoring of vegetation based on satellite imagery : master thesis
Abstract:
In the master thesis, we developed an automatic procedure for systematic monitoring of vegetation based on satellite imagery using the FME Desktop and FME Server applications. In the FME Workbench desktop application, we created a workflow that for any specified area acquires the latest satellite image meeting certain quality criteria. Based on the satellite image, the NDVI vegetation index is calculated and clipped to the size of the input area. The model was published to the FME Server, where we set the schedule for the model to be running automatically. In case that new image is available since last run, the new results are saved in the selected folder on the server. Using the Backup and Sync application, the folder is linked to the Google Drive web storage, which allows the user to access the results from a remote device. User can save a lot of time by using automated processes like this, since it is not necessary to change the settings and run the program manually.

Keywords:FME Desktop, FME Server, Sentinel-2, NDVI

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