Intra-Annual Sentinel-2 Time-Series Supporting Grassland Habitat Discrimination
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) taxo...
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| Format: | Article |
| Language: | English |
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MDPI AG
2021-01-01
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| Series: | Remote Sensing |
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| Online Access: | https://www.mdpi.com/2072-4292/13/2/277 |
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| author | Cristina Tarantino Luigi Forte Palma Blonda Saverio Vicario Valeria Tomaselli Carl Beierkuhnlein Maria Adamo |
| author_facet | Cristina Tarantino Luigi Forte Palma Blonda Saverio Vicario Valeria Tomaselli Carl Beierkuhnlein Maria Adamo |
| author_sort | Cristina Tarantino |
| collection | DOAJ |
| description | 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. |
| first_indexed | 2024-03-09T04:45:32Z |
| format | Article |
| id | doaj.art-0535ce3f41ca4f6d9d7847f53f3b74ad |
| institution | Directory Open Access Journal |
| issn | 2072-4292 |
| language | English |
| last_indexed | 2024-03-09T04:45:32Z |
| publishDate | 2021-01-01 |
| publisher | MDPI AG |
| record_format | Article |
| series | Remote Sensing |
| spelling | doaj.art-0535ce3f41ca4f6d9d7847f53f3b74ad2023-12-03T13:15:36ZengMDPI AGRemote Sensing2072-42922021-01-0113227710.3390/rs13020277Intra-Annual Sentinel-2 Time-Series Supporting Grassland Habitat DiscriminationCristina Tarantino0Luigi Forte1Palma Blonda2Saverio Vicario3Valeria Tomaselli4Carl Beierkuhnlein5Maria Adamo6Interateneo Physics Department, National Research Council of Italy, Institute of Atmospheric Pollution Research (CNR-IIA), 70126 Bari, ItalyDepartment of Biology, University of Bari, Via Orabona 4, 70125 Bari, ItalyInterateneo Physics Department, National Research Council of Italy, Institute of Atmospheric Pollution Research (CNR-IIA), 70126 Bari, ItalyInterateneo Physics Department, National Research Council of Italy, Institute of Atmospheric Pollution Research (CNR-IIA), 70126 Bari, ItalyDepartment of Biology, University of Bari, Via Orabona 4, 70125 Bari, ItalyDepartment of Biogeography, University of Bayreuth, 95440 Bayreuth, GermanyInterateneo Physics Department, National Research Council of Italy, Institute of Atmospheric Pollution Research (CNR-IIA), 70126 Bari, ItalyThe 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.https://www.mdpi.com/2072-4292/13/2/277grasslandhabitat mappingNatura 2000Sentinel-2spectral indextime-series |
| spellingShingle | Cristina Tarantino Luigi Forte Palma Blonda Saverio Vicario Valeria Tomaselli Carl Beierkuhnlein Maria Adamo Intra-Annual Sentinel-2 Time-Series Supporting Grassland Habitat Discrimination Remote Sensing grassland habitat mapping Natura 2000 Sentinel-2 spectral index time-series |
| title | Intra-Annual Sentinel-2 Time-Series Supporting Grassland Habitat Discrimination |
| title_full | Intra-Annual Sentinel-2 Time-Series Supporting Grassland Habitat Discrimination |
| title_fullStr | Intra-Annual Sentinel-2 Time-Series Supporting Grassland Habitat Discrimination |
| title_full_unstemmed | Intra-Annual Sentinel-2 Time-Series Supporting Grassland Habitat Discrimination |
| title_short | Intra-Annual Sentinel-2 Time-Series Supporting Grassland Habitat Discrimination |
| title_sort | intra annual sentinel 2 time series supporting grassland habitat discrimination |
| topic | grassland habitat mapping Natura 2000 Sentinel-2 spectral index time-series |
| url | https://www.mdpi.com/2072-4292/13/2/277 |
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