Species level classification of Mediterranean sparse forests-maquis formations using Sentinel-2 imagery

Date

2020-07-01

Author

Caglayan, Semiha Demirbas
Leloğlu, Uğur Murat
Ginzler, Christian
Psomas, Achilleas
Zeydanlı, Uğur Siyami
Bilgin, Cemal Can
Waser, Lars T.

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Essential forest ecosystem services can be assessed by better understanding the diversity of vegetation, specifically those of Mediterranean region. A species level classification of maquis would be useful in understanding vegetation structure and dynamics, which would be an indicator of degradation or succession in the region. Although remote sensing was regularly used for classification in the region, maquis are simply represented as one to three categories based on density or height. To fill this gap, we test the capability of Sentinel-2 imagery, together with selected ancillary variables, for an accurate mapping of the dominant maquis formations. We applied Recursive Feature Selection procedure and used a Random Forest classifier. The algorithm is tested using ground truth collected from site and reached 78% and 93% overall accuracy at species level and physiognomic level, respectively. Our results suggest species level characterization of dominant maquis is possible with Sentinel-2 spatial resolution.

Subject Keywords

Mediterranean forests, Maquis, Random forest, Sentinel-2, Image classification

URI

https://hdl.handle.net/11511/31827

Journal

GEOCARTO INTERNATIONAL

DOI

https://doi.org/10.1080/10106049.2020.1783581

Collections

Graduate School of Natural and Applied Sciences, Article

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Citation Formats

S. D. Caglayan et al., “Species level classification of Mediterranean sparse forests-maquis formations using Sentinel-2 imagery,” GEOCARTO INTERNATIONAL, pp. 0–0, 2020, Accessed: 00, 2020. [Online]. Available: https://hdl.handle.net/11511/31827.