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Performance of Sentinel-2 data in unsupervised classification: a case study of statistical comparison with Landsat 8 OLI

Györk, Fülöp (2016) Performance of Sentinel-2 data in unsupervised classification: a case study of statistical comparison with Landsat 8 OLI. AGRÁRINFORMATIKA / JOURNAL OF AGRICULTURAL INFORMATICS, 7 (1). pp. 1-12. ISSN 2061-862X

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Abstract

What to expect, when planning to use Sentinel-2 datasets in unsupervised classification? This is a very actual question, since Copernicus Sentinel-2 data has been available since November 2015, but due to the winter period conditions, wide use has been obstacled, user experiences are missing. In a European Space Agency (ESA) financed feasibility study we neededto simulate 2015 Sentinel-2 data input withLandsat 8 OLI data, and we were also curious, how this may affect the performance? In a case study we measured Sentinel-2 and Landsat-8 OLI to Kompsat-3 very high resolution multispectral imagery in four sample sites and we used landscape indices to quantify the effect of utilized input data on spatial pattern.

Item Type: Article
Additional Information:
Uncontrolled Keywords: Sentinel-2, performance, landscape indices, spatial pattern, multivariate statistics
Subjects: Q Science / természettudomány > QA Mathematics / matematika > QA76.527 Network technologies / Internetworking / hálózati technológiák, hálózatosodás
Q Science / természettudomány > QA Mathematics / matematika > QA76.76 Software Design and Development / Szoftvertervezés és -fejlesztés
S Agriculture / mezőgazdaság > S1 Agriculture (General) / mezőgazdaság általában
SWORD Depositor: MTMT SWORD
Depositing User: MTMT SWORD
Date Deposited: 25 Aug 2016 12:28
Last Modified: 05 Jun 2024 12:32
URI: https://real.mtak.hu/id/eprint/39146

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