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dc.contributor.authorVAJSOVÁ BLANKAen_GB
dc.contributor.authorFASBENDER DOMINIQUEen_GB
dc.contributor.authorWIRNHARDT CSABAen_GB
dc.contributor.authorLEMAJIC SLAVKOen_GB
dc.contributor.authorDEVOS WIMen_GB
dc.date.accessioned2020-08-01T00:05:32Z-
dc.date.available2020-07-31en_GB
dc.date.available2020-08-01T00:05:32Z-
dc.date.created2020-07-29en_GB
dc.date.issued2020en_GB
dc.date.submitted2020-05-22en_GB
dc.identifier.citationREMOTE SENSING vol. 12 no. 14 p. 2195en_GB
dc.identifier.issn2072-4292 (online)en_GB
dc.identifier.urihttps://www.mdpi.com/2072-4292/12/14/2195en_GB
dc.identifier.urihttps://publications.jrc.ec.europa.eu/repository/handle/JRC120860-
dc.description.abstractThe availability of large amounts of Sentinel-2 data has been a trigger for its increasing exploitation in various types of applications. It is, therefore, of importance to understand the limits above which these data still guarantee a meaningful outcome. This paper proposes a new method to quantify and specify restrictions of the Sentinel-2 imagery in the context of checks by monitoring, a newly introduced control approach within the European Common Agriculture Policy framework. The method consists of a comparison of normalized difference vegetation index (NDVI) time series constructed from data of different spatial resolution to estimate the performance and limits of the coarser one. Using similarity assessment of Sentinel-2 (10 m pixel size) and PlanetScope (3 m pixel size) NDVI time series, it was estimated that for 10% out of 867 fields less than 0.5 ha in size, Sentinel-2 data did not provide reliable evidence of the activity or state of the agriculture field over a given timeframe. Statistical analysis revealed that the number of clean or full pixels and the proportion of pixels lost after an application of a 5-m (1/2 pixel) negative buffer are the geospatial parameters of the field that have the highest influence on the ability of the Sentinel-2 data to qualify the field’s state in time. We specified the following limiting criteria: at least 8 full pixels inside a border and less than 60% of pixels lost. It was concluded that compliance with the criteria still assures a high level of extracted information reliability. Our research proved the promising potential, which was higher than anticipated, of Sentinel-2 data for the continuous state assessment of small fields. The method could be applied to other sensors and indicators.en_GB
dc.description.sponsorshipJRC.D.5-Food Securityen_GB
dc.format.mediumOnlineen_GB
dc.languageENGen_GB
dc.publisherMDPIen_GB
dc.relation.ispartofseriesJRC120860en_GB
dc.titleAssessing spatial limits of Sentinel-2 data on arable crops in the context of checks by monitoringen_GB
dc.typeArticles in periodicals and booksen_GB
dc.identifier.doi10.3390/rs12142195 (online)en_GB
JRC Directorate:Sustainable Resources

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