Skip to Main content Skip to Navigation
Journal articles

Toward Spatio–Spectral Analysis of Sentinel-2 Time Series Data for Land Cover Mapping

Abstract : Modern earth observation (EO) systems produce huge volumes of images with the objective to monitor the earth surface. Due to the high revisit time of EO systems, such as Sentinel-2 constellation, satellite image time series (SITS) is continuously produced allowing to improve the monitoring of spatiotemporal phenomena. How to efficiently analyze SITS considering both spectral and spatial information is still an open question in the remote sensing field. To deal with SITS classification, in this letter, we propose a spatio-spectral classification framework that leverages the mathematical morphology to extract spatial characteristics from SITS data and combines them with the already available spectral and temporal information. Experiments carried out on two study sites characterized by different heterogeneous land covers have demonstrated the significance of our proposal and the value to combine spatial as well as spectral information in the context of SITS land cover classification.
Document type :
Journal articles
Complete list of metadata

https://hal.inrae.fr/hal-02950334
Contributor : Dino Ienco <>
Submitted on : Sunday, September 27, 2020 - 7:00:04 PM
Last modification on : Monday, December 14, 2020 - 5:38:04 PM

Identifiers

Collections

Citation

Yawogan Jean Eudes Gbodjo, Dino Ienco, Louise Leroux. Toward Spatio–Spectral Analysis of Sentinel-2 Time Series Data for Land Cover Mapping. IEEE Geoscience and Remote Sensing Letters, IEEE - Institute of Electrical and Electronics Engineers, 2020, 17 (2), pp.307-311. ⟨10.1109/LGRS.2019.2917788⟩. ⟨hal-02950334⟩

Share

Metrics