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Uporaba diferencialne radarske interferometrije za opazovanje premikov površja : magistrsko delo
Rojko, Irena (Author), Oštir, Krištof (Mentor) More about this mentor... This link opens in a new window, Čotar, Klemen (Co-mentor)

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Abstract
Tehnologija SAR je zaradi relativne cenovne učinkovitosti in tehničnih lastnosti, ki omogočajo opazovanje velikih območij, postala zelo priljubljena. Brezplačen dostop do podatkov SAR Sentinela-1, satelita Evropske vesoljske agencije, je izjemno dobrodošel. V sklopu magistrskega dela nas je zanimalo, v kolikšni meri se jih da s tehniko diferencialne radarske interferometrije (DInSAR) uporabiti za spremljanje premikov na območju Slovenije, ki ima ob visokem deležu gozda pričakovano nizko koherenco. V prvem delu magistrskega dela smo analizirali vrednost koherence med zaporednimi posnetki skozi leto glede na rabo tal. V drugem delu smo v obdobjih z ugotovljeno najboljšo koherenco opazovali premike s tehniko DInSAR. Zaradi značilnih posedanj premogovniških mest smo za testno območje izbrali Velenje z okolico. Rezultate smo primerjali z rezultati GNSS meritev. V prvem delu smo ugotovili, da je najboljša koherenca med zaporednimi posnetki v mesecih med novembrom in marcem, oziroma v času, ko vegetacija miruje. Koherenca dosega najboljše rezultate v zimskem obdobju brez snega in sicer na urbanih območjih in njivah. V drugem delu smo posedanje pravega reda velikosti dobili šele, ko smo testno območje zmanjšali na majhen urbani del Šaleške doline. Kot problematična se je izkazala nizka koherenca, ki negativno vpliva na uspeh razvijanja faze. Le-to je samo po sebi zelo občutljiv postopek. Nadalje ocenjujemo, da je rezultate poslabšal tudi atmosferski vpliv, ki ga z uporabljeno metodo ne moremo oceniti in odstraniti. Rezultati tega magistrskega dela naj služijo kot izhodišče tistim, ki se bodo v prihodnje odločili za uporabo podatkov Sentinela-1 za radarsko interferometrijo na območjih z gosto vegetacijo.

Language:Slovenian
Keywords:geodezija, magistrska dela, SAR, koherenca, diferencialna radarska interferometrija, Snap, posedanje
Work type:Master's thesis/paper (mb22)
Tipology:2.09 - Master's Thesis
Organization:FGG - Faculty of Civil and Geodetic Engineering
Year:2016
Publisher:[I. Rojko]
Number of pages:XIV, 65 str.
Place:Ljubljana
COBISS.SI-ID:7421025 This link opens in a new window
Views:1666
Downloads:441
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Secondary language

Language:English
Title:Application of differential radar interferometry for land displacement monitoring
Abstract:
SAR technology is popular due to its relative cost-efficency as it enables users to monitor vast areas. Free access to SAR data obtained by satellite Sentinel-1 of European Space Agency is a remarkable opportunity. In this study, we are testing the differential interferometry technique (DInSAR) in the area of Slovenia, known for its dense vegetation that results in low coherence and influences results greatly. In the first part of the study, we analized interferogram coherence values throughout the year for different land use. We concluded that coherence reaches its highest values between November and March, when there is no snow, on urban areas and on arable land. We used interferograms with best coherence in the second part of the study, where we measured subsidence due to mining activity in the area of Velenje. We compared subsidence results of DInSAR to those of GNSS measurements. To gain acceptable results in the second part of our study, we had to reduce the test area down to a small urban part of Šaleška valley. Some of the final DInSAR results were close to the GNSS subsidence values. Low coherence and problematic phase unwrapping reduced the quality of our results greatly, but we estimate that atmospheric influence on phase has also contributed to the data quality degradation. Results of this study offer a good starting point for those who wish to use Sentinel-1 data for radar interferomtery, especially in areas with dense vegetation.

Keywords:geodesy, master of science thesis, SAR, coherence, differential radar interferomtery, Snap, subsidence

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