Mapping plant communities in the intertidal zones using Sentinel-2 and Sentinel-1 data

Tiejun Wang, Yansha Luo, Yiwen Sun, Xinhui Liu

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Abstract

Intertidal habitats are important not only for the ecosystem services they provide but also because they represent a key ecotone between land and ocean. In this paper we explore the synergistic use of time series Sentinel-1 and Sentinel-2 data for mapping intertidal plant communities, using a Random Forest algorithm. We compare the performances of ten models with different input data. Results showed that the use of multi-seasonal Sentinel-2 images could significantly improve the mapping accuracy compared to the use of any single-season image. There was no statistically significant difference in mapping accuracies between the use of multi-seasonal and time series Sentinel-2 images. However, when combining time series Sentinel-1 data, time series Sentinel-2 data and NDVI statistic metrics, the highest mapping accuracy was achieved with an overall mapping accuracy of 77.7% and the Kappa coefficient of 0.75.
Original languageEnglish
Title of host publicationIGARSS 2018 : IEEE International Geoscience and Remote Sensing Symposium : Observing, Understanding and Forcasting the Dynamics of Our Planet
PublisherIEEE
Pages8390-8393
Number of pages4
ISBN (Electronic)978-1-5386-7150-4
ISBN (Print)978-1-5386-7150-4
DOIs
Publication statusPublished - 22 Jul 2018
Event38th IEEE International Geoscience and Remote Sensing Symposium 2018: Observing, Understanding and Forcasting the Dynamics of Our Planet - Feria Valencia Convention & Exhibition Center, Valencia, Spain
Duration: 22 Jul 201827 Jul 2018
Conference number: 38
https://www.igarss2018.org/

Conference

Conference38th IEEE International Geoscience and Remote Sensing Symposium 2018
Abbreviated titleIGARSS 2018
CountrySpain
CityValencia
Period22/07/1827/07/18
Internet address

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    Wang, T., Luo, Y., Sun, Y., & Liu, X. (2018). Mapping plant communities in the intertidal zones using Sentinel-2 and Sentinel-1 data. In IGARSS 2018 : IEEE International Geoscience and Remote Sensing Symposium : Observing, Understanding and Forcasting the Dynamics of Our Planet (pp. 8390-8393). IEEE. https://doi.org/10.1109/IGARSS.2018.8518347