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Intra-Annual Sentinel-2 Time-Series Supporting Grassland Habitat Discrimination

Title data

Tarantino, Cristina ; Forte, Luigi ; Blonda, Palma ; Vicario, Saverio ; Tomaselli, Valeria ; Beierkuhnlein, Carl ; Adamo, Maria:
Intra-Annual Sentinel-2 Time-Series Supporting Grassland Habitat Discrimination.
In: Remote Sensing. Vol. 13 (2021) Issue 2 . - No. 277.
ISSN 2072-4292
DOI: https://doi.org/10.3390/rs13020277

Abstract in another language

The present study aims to discriminate four semi-arid grassland habitats in a Mediterranean Natura 2000 site, Southern Italy, involving 6210/E1.263, 62A0/E1.55, 6220/E1.434 and X/E1.61-E1.C2-E1.C4 (according to Annex I of the European Habitat Directive/EUropean Nature Information System (EUNIS) taxonomies). For this purpose, an intra-annual time-series of 30 Sentinel-2 images, embedding phenology information, were investigated for 2018. The methodology adopted was based on a two-stage workflow employing a Support Vector Machine classifier. In the first stage only four Sentinel-2 multi-season images were analyzed, to provide an updated land cover map from where the grassland layer was extracted. The layer obtained was then used for masking the input features to the second stage. The latter stage discriminated the four grassland habitats by analyzing several input features configurations. These included multiple spectral indices selected from the time-series and the Digital Terrain Model. The results obtained from the different input configurations selected were compared to evaluate if the phenology information from time-series could improve grassland habitats discrimination. The highest F1 values (95.25% and 80.27%) were achieved for 6210/E1.263 and 6220/E1.434, respectively, whereas the results remained stable (97,33%) for 62A0/E1.55 and quite low (75,97%) for X/E1.61-E1.C2-E1.C4. However, since for all the four habitats analyzed no single configuration resulted effective, a Majority Vote algorithm was applied to achieve a reduction in classification uncertainty

Further data

Item Type: Article in a journal
Refereed: Yes
Additional notes: Special Issue: Remote Sensing for Habitat Mapping
Keywords: Grassland; Habitat mapping; Natura 2000; Sentinel-2; Spectral index; Time-series
Institutions of the University: Faculties > Faculty of Biology, Chemistry and Earth Sciences > Department of Earth Sciences > Chair Biogeography
Faculties > Faculty of Biology, Chemistry and Earth Sciences > Department of Earth Sciences > Chair Biogeography > Chair Biogeography - Univ.-Prof. Dr. Carl Beierkuhnlein
Research Institutions > Research Centres > Bayreuth Center of Ecology and Environmental Research- BayCEER
Result of work at the UBT: Yes
DDC Subjects: 500 Science > 550 Earth sciences, geology
500 Science > 580 Plants (Botany)
Date Deposited: 08 Mar 2021 10:34
Last Modified: 08 Mar 2021 10:34
URI: https://eref.uni-bayreuth.de/id/eprint/63717