Comparison of snow-covered area estimation methods in northern Finland

dc.contributorAalto Universityen
dc.contributorAalto-yliopistofi
dc.contributor.advisorLuojus, Kari; TkL
dc.contributor.authorBlasco Cutrona, Alberto
dc.contributor.departmentDepartment of Radio Science and Engineeringen
dc.contributor.departmentRadiotieteen ja -tekniikan laitosfi
dc.contributor.schoolFaculty of Electronics, Communications and Automationen
dc.contributor.schoolElektroniikan, tietoliikenteen ja automaation tiedekuntafi
dc.contributor.supervisorLuojus, Kari; TkL
dc.date.accessioned2011-12-08T09:56:10Z
dc.date.available2011-12-08T09:56:10Z
dc.date.issued2008
dc.description.abstractAn accuracy evaluation of the Nagler & Rott snow-covered area estimation method is presented in this work. The main objective is to determinate the effects of the threshold level, the reference image, as well as the area analysed.The method is studied by conducting the SCA estimation for 14 Radarsat intensity images of northern Finland where is dominated by boreal forest. The results are also compared with the estimations carried out by the current TKK method.en
dc.format.extent81
dc.format.mimetypeapplication/pdfen
dc.identifier.urihttps://aaltodoc.aalto.fi/handle/123456789/1119
dc.identifier.urnurn:nbn:fi:tkk-012557
dc.language.isoenen
dc.programme.majorSpace Technologyen
dc.programme.majorAvaruustekniikkafi
dc.programme.mcodeS-92fi
dc.publisherHelsinki University of Technologyen
dc.publisherTeknillinen korkeakoulufi
dc.rights.accesslevelopenAccess
dc.subject.keywordremote sensingen
dc.subject.keywordSnow Covered Areaen
dc.subject.keywordThomas Nagleren
dc.subject.keywordHelmut Rotten
dc.subject.keywordbackscatteringen
dc.subject.keywordRadarsaten
dc.subject.keywordthresholden
dc.subject.keywordradaren
dc.subject.otherElectrical engineeringen
dc.titleComparison of snow-covered area estimation methods in northern Finlanden
dc.typeJ Muu elektroninen julkaisufi
dc.type.dcmitypetexten
local.aalto.idinssi36610
local.aalto.openaccessyes
Files
Original bundle
Now showing 1 - 1 of 1
No Thumbnail Available
Name:
urn012557.pdf
Size:
3.63 MB
Format:
Adobe Portable Document Format