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Proceedings Paper

Aggregation of Sentinel-2 time series classifications as a solution for multitemporal analysis
Author(s): Stanislaw Lewiński; Artur Nowakowski; Radek Malinowski; Marcin Rybicki; Ewa Kukawska; Michał Krupiński
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Paper Abstract

The general aim of this work was to elaborate efficient and reliable aggregation method that could be used for creating a land cover map at a global scale from multitemporal satellite imagery. The study described in this paper presents methods for combining results of land cover/land use classifications performed on single-date Sentinel-2 images acquired at different time periods. For that purpose different aggregation methods were proposed and tested on study sites spread on different continents. The initial classifications were performed with Random Forest classifier on individual Sentinel-2 images from a time series. In the following step the resulting land cover maps were aggregated pixel by pixel using three different combinations of information on the number of occurrences of a certain land cover class within a time series and the posterior probability of particular classes resulting from the Random Forest classification. From the proposed methods two are shown superior and in most cases were able to reach or outperform the accuracy of the best individual classifications of single-date images. Moreover, the aggregations results are very stable when used on data with varying cloudiness. They also enable to reduce considerably the number of cloudy pixels in the resulting land cover map what is significant advantage for mapping areas with frequent cloud coverage.

Paper Details

Date Published: 4 October 2017
PDF: 13 pages
Proc. SPIE 10427, Image and Signal Processing for Remote Sensing XXIII, 104270B (4 October 2017); doi: 10.1117/12.2277976
Show Author Affiliations
Stanislaw Lewiński, Space Research Ctr. (Poland)
Artur Nowakowski, Space Research Ctr. (Poland)
Radek Malinowski, Space Research Ctr. (Poland)
Marcin Rybicki, Space Research Ctr. (Poland)
Ewa Kukawska, Space Research Ctr. (Poland)
Michał Krupiński, Space Research Ctr. (Poland)

Published in SPIE Proceedings Vol. 10427:
Image and Signal Processing for Remote Sensing XXIII
Lorenzo Bruzzone, Editor(s)

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