Daytime Low Stratiform Cloud Detection on AVHRR Imagery

Musial, Jan Pawel; Hüsler, Fabia; Sütterlin, Melanie; Neuhaus, Christoph; Wunderle, Stefan (2014). Daytime Low Stratiform Cloud Detection on AVHRR Imagery. Remote sensing, 6(6), pp. 5124-5150. Molecular Diversity Preservation International MDPI 10.3390/rs6065124

[img]
Preview
Text
10.3390rs6065124.pdf - Published Version
Available under License Creative Commons: Attribution (CC-BY).

Download (3MB) | Preview

The near-real time retrieval of low stratiform cloud (LSC) coverage is of vital interest for such disciplines as meteorology, transport safety, economy and air quality. Within this scope, a novel methodology is proposed which provides the LSC occurrence probability estimates for a satellite scene. The algorithm is suited for the 1 × 1 km Advanced Very High Resolution Radiometer (AVHRR) data and was trained and validated against collocated SYNOP observations. Utilisation of these two combined data sources requires a formulation of constraints in order to discriminate cases where the LSC is overlaid by higher clouds. The LSC classification process is based on six features which are first converted to the integer form by step functions and combined by means of bitwise operations. Consequently, a set of values reflecting a unique combination of those features is derived which is further employed to extract the LSC occurrence probability estimates from the precomputed look-up vectors (LUV). Although the validation analyses confirmed good performance of the algorithm, some inevitable misclassification with other optically thick clouds were reported. Moreover, the comparison against Polar Platform System (PPS) cloud-type product revealed superior classification accuracy. From the temporal perspective, the acquired results reported a presence of diurnal and annual LSC probability cycles over Europe.

Item Type:

Journal Article (Original Article)

Division/Institute:

08 Faculty of Science > Institute of Geography > Physical Geography > Unit Remote Sensing
10 Strategic Research Centers > Oeschger Centre for Climate Change Research (OCCR)
08 Faculty of Science > Institute of Geography

UniBE Contributor:

Musial, Jan Pawel; Hüsler, Fabia; Sütterlin, Melanie Beatrice; Neuhaus, Christoph and Wunderle, Stefan

Subjects:

900 History > 910 Geography & travel

ISSN:

2072-4292

Publisher:

Molecular Diversity Preservation International MDPI

Language:

English

Submitter:

Monika Wälti-Stampfli

Date Deposited:

08 Oct 2014 14:30

Last Modified:

18 Feb 2016 08:44

Publisher DOI:

10.3390/rs6065124

BORIS DOI:

10.7892/boris.57930

URI:

https://boris.unibe.ch/id/eprint/57930

Actions (login required)

Edit item Edit item
Provide Feedback