Contribution of Sentinel-2 satellite images for habitat mapping of the Natura 2000 site 'Estuaire de la Loire' (France)

被引:9
作者
Le Dez, Mathieu [1 ,3 ]
Robin, Marc [1 ]
Launeau, Patrick [2 ]
机构
[1] Univ Nantes, UMR CNRS LETG Littoral Environm Teledetect Geomat, Chemin Censive Tertre,BP 81227, F-44312 Nantes, France
[2] Univ Nantes, UMR CNRS LPG Lab Planetol & Geodynam 6112, 2 Rue Houssiniere,BP 92208, F-44322 Nantes, France
[3] Conseil Dept Loire Atlantique Unite Milieux Nat D, 26 Blvd Victor Hugo, F-44200 Nantes, France
关键词
Sentinel-2; Satellite multi-date classification; Natura; 2000; Estuarine habitats; EUNIS habitat mapping; Phytosociology; Random forest; REMOTE-SENSING DATA; TIME-SERIES; RED-EDGE; VEGETATION; CLASSIFICATION; CHLOROPHYLL; REFLECTANCE; LEAF; FOREST; COMMUNITIES;
D O I
10.1016/j.rsase.2021.100637
中图分类号
X [环境科学、安全科学];
学科分类号
08 ; 0830 ;
摘要
Habitat mapping is an essential tool to implement the European Habitats Directive 92/43/EEC and to manage the Natura 2000 protected areas network. However, their elaboration is most often based on field surveys, which are time-consuming and expensive when dealing with large areas. In this study, we aimed to evaluate the contribution of Sentinel-2 satellite images for mapping habitats of the Natura 2000 site 'Estuaire de la Loire'. We used 1,248 phytosociological plots to establish a complete typology of the study site's habitats. Locating these plots led us to select training areas that characterize 39 habitats to calibrate the Random Forest algorithm. We classified 11 single-date images spread evenly over a year and performed a multi-date classification of 9 images. We obtained high overall accuracy between 76.47% and 87.28% for the single-date image classifications and 98.7% for multi-date image classification. Our results demonstrate that Sentinel-2 images are appropriate for accurate habitat mapping and constitute a relevant tool to identify and conserve habitats of community interest.
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收藏
页数:15
相关论文
共 102 条
  • [1] Multispectral and hyperspectral remote sensing for identification and mapping of wetland vegetation: a review
    Adam, Elhadi
    Mutanga, Onisimo
    Rugege, Denis
    [J]. WETLANDS ECOLOGY AND MANAGEMENT, 2010, 18 (03) : 281 - 296
  • [2] Addabbo P., 2016, ACTA IMEKO, V5, P44, DOI [10.21014/acta_imeko.v5i2.352, DOI 10.21014/ACTA_IMEKO.V5I2.352]
  • [3] [Anonymous], 2015, Package rgdal . Bindings for the Geospatial Data Abstraction Library
  • [4] [Anonymous], 2014, TERRESTRIAL HABITAT, DOI [10.2800/11055, DOI 10.2800/11055]
  • [5] Sentinel-2 cropland mapping using pixel-based and object-based time-weighted dynamic time warping analysis
    Belgiu, Mariana
    Csillik, Ovidiu
    [J]. REMOTE SENSING OF ENVIRONMENT, 2018, 204 : 509 - 523
  • [6] Bensettiti F., 2004, HABITATS COTIERS, V2, P399
  • [7] Bensettiti F., 2001, HABITATS FORESTIERS, V1
  • [8] Bensettiti F., 2005, HABITATS AGROPASTORA, V4
  • [9] Bensettiti F., 2002, HABITATS HUMIDES, V3, P457
  • [10] Bijlsma R. J., 2019, Defining and applying the concept of Favourable Reference Values for species habitats under the EU Birds and Habitats Directives: examples of setting favourable reference values