干旱区生态环境知识资源中心(Arid): Intra-Annual Sentinel-2 Time-Series Supporting Grassland Habitat Discrimination

Arid

DOI	10.3390/rs13020277
	Intra-Annual Sentinel-2 Time-Series Supporting Grassland Habitat Discrimination
	Tarantino, Cristina; Forte, Luigi; Blonda, Palma; Vicario, Saverio; Tomaselli, Valeria; Beierkuhnlein, Carl; Adamo, Maria
通讯作者	Tarantino, C (corresponding author), CNR, Natl Res Council Italy, Inst Atmospher Pollut Res, IIA,Interateneo Phys Dept, I-70126 Bari, Italy.
来源期刊	REMOTE SENSING
EISSN	2072-4292
出版年	2021
卷号	13 期号:2
英文摘要	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.
英文关键词	grassland habitat mapping Natura 2000 Sentinel-2 spectral index time-series
类型	Article
语种	英语
开放获取类型	gold
收录类别	SCI-E
WOS记录号	WOS:000611561600001
WOS类目	Environmental Sciences ; Geosciences, Multidisciplinary ; Remote Sensing ; Imaging Science & Photographic Technology
WOS研究方向	Environmental Sciences & Ecology ; Geology ; Remote Sensing ; Imaging Science & Photographic Technology
资源类型	期刊论文
条目标识符	http://119.78.100.177/qdio/handle/2XILL650/348139
作者单位	[Tarantino, Cristina; Blonda, Palma; Vicario, Saverio; Adamo, Maria] CNR, Natl Res Council Italy, Inst Atmospher Pollut Res, IIA,Interateneo Phys Dept, I-70126 Bari, Italy; [Forte, Luigi; Tomaselli, Valeria] Univ Bari, Dept Biol, Via Orabona 4, I-70125 Bari, Italy; [Forte, Luigi] Univ Bari, Bot Garden Museum, I-70125 Bari, Italy; [Beierkuhnlein, Carl] Univ Bayreuth, Dept Biogeog, D-95440 Bayreuth, Germany; [Beierkuhnlein, Carl] Univ Bayreuth, Bayreuth Ctr Ecol & Environm Res, BayCEER, D-95440 Bayreuth, Germany; [Beierkuhnlein, Carl] Univ Bayreuth, GIB, Geog Inst Bayreuth, D-95440 Bayreuth, Germany
推荐引用方式 GB/T 7714	Tarantino, Cristina,Forte, Luigi,Blonda, Palma,et al. Intra-Annual Sentinel-2 Time-Series Supporting Grassland Habitat Discrimination[J],2021,13(2).
APA	Tarantino, Cristina.,Forte, Luigi.,Blonda, Palma.,Vicario, Saverio.,Tomaselli, Valeria.,...&Adamo, Maria.(2021).Intra-Annual Sentinel-2 Time-Series Supporting Grassland Habitat Discrimination.REMOTE SENSING,13(2).
MLA	Tarantino, Cristina,et al."Intra-Annual Sentinel-2 Time-Series Supporting Grassland Habitat Discrimination".REMOTE SENSING 13.2(2021).