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Automatic Cloud and Shadow Detection in Optical Satellite Imagery Without Using Thermal Bands-Application to Suomi NPP VIIRS Images over Fennoscandia

Publiceringsår

2017

Upphovspersoner

Parmes, Eija; Rauste, Yrjö; Molinier, Matthieu; Andersson, Kaj; Seitsonen, Lauri

Abstrakt

In land monitoring applications, clouds and shadows are considered noise that should be removed as automatically and quickly as possible, before further analysis. This paper presents a method to detect clouds and shadows in Suomi NPP satellite's VIIRS (Visible Infrared Imaging Radiometer Suite) satellite images. The proposed cloud and shadow detection method has two distinct features when compared to many other methods. First, the method does not use the thermal bands and can thus be applied to other sensors which do not contain thermal channels, such as Sentinel-2 data. Secondly, the method uses the ratio between blue and green reflectance to detect shadows. Seven hundred and forty-seven VIIRS images over Fennoscandia from August 2014 to April 2016 were processed to train and develop the method. Twenty four points from every tenth of the images were used in accuracy assessment. These 1752 points were interpreted visually to cloud, cloud shadow and clear classes, then compared to the output of the cloud and shadow detection. The comparison on VIIRS images showed 94.2% correct detection rates and 11.1% false alarms for clouds, and respectively 36.1% and 82.7% for shadows. The results on cloud detection were similar to state-of-the-art methods. Shadows showed correctly on the northern edge of the clouds, but many shadows were wrongly assigned to other classes in some cases (e.g., to water class on lake and forest boundary, or with shadows over cloud). This may be due to the low spatial resolution of VIIRS images, where shadows are only a few pixels wide and contain lots of mixed pixels.
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Organisationer och upphovspersoner

Teknologiska forskningscentralen VTT Ab

Parmes Eija

Andersson Kaj

Seitsonen Lauri

Molinier Matthieu Orcid -palvelun logo

Rauste Yrjö Orcid -palvelun logo

Publikationstyp

Publikationsform

Artikel

Moderpublikationens typ

Tidning

Artikelstyp

En originalartikel

Målgrupp

Vetenskaplig

Kollegialt utvärderad

Kollegialt utvärderad

UKM:s publikationstyp

A1 Originalartikel i en vetenskaplig tidskrift

Publikationskanalens uppgifter

Volym

9

Nummer

8

Artikelnummer

806

Publikationsforum

71359

Publikationsforumsnivå

1

Öppen tillgång

Öppen tillgänglighet i förläggarens tjänst

Ja

Öppen tillgång till publikationskanalen

Helt öppen publikationskanal

Licens för förläggarens version

CC BY

Parallellsparad

Nej

Publiceringsavgift för öppen tillgång €

1185

Betalningsår för den öppen tillgång publiceringsavgiften

2017

Övriga uppgifter

Vetenskapsområden

Fysik; Geovetenskaper

Nyckelord

[object Object],[object Object],[object Object],[object Object],[object Object],[object Object]

Språk

engelska

Internationell sampublikation

Nej

Sampublikation med ett företag

Nej

DOI

10.3390/rs9080806

Publikationen ingår i undervisnings- och kulturministeriets datainsamling

Ja