Sentinel-2 time series of Switzerland

We processed Sentinel-2 image time series from 2017 to 2023 for Switzerland with the Software FORCE (Frantz 2019) on the basis of Sentinel-2 images. The respective parameter files can be found here: Github. All the image time series consist of several TB and therefore access will be granted upon request. The available bands (in spatial reference system EPSG 3035) are the following: Red, Green, Blue, NIR, Red-Edge-1, Red-Edge-2, Red-Edge-3, SWIR-1, SWIR-2 The available indices (in spatial reference system EPSG 3035) are the following: CCI, CIRE, NDWI/NDMI, NDVI, EVI Further indices might be provided upon request.

Processing

On the basis of processed Sentinel-2 images for the 14 Sentinel-2 tiles covering Switzerland (T31TGN, T32TLT, T32TMT, T32UMU, T32TNT, T32TPT, T31TGM, T32TLS, T32TMS, T32TNS, T32TPS, T32TLR, T32TMR, T32TNR), we processed the image time series further with FORCE v. 3.7.8-12. We generated interpolated Sentinel-2 time series with a 5-day interval, corresponding to the theoretical revisit time of the Sentinel-2 satellites. It's important to note that the 5-day time series consist of interpolated and smoothed composites, not the original images. We used the radial basis convolutional filtering (RBF) available in the FORCE time series analysis (TSA) submodule (Schwieder et al. 2016). The RBF is similar to a spatial moving window average approach over time (Schwieder et al. 2016). We applied kernel width values of 10, 20, 30, and 50 days. We spectrally adjusted all the images to match Sentinel-2A, and we removed curve outliers and pixels that failed the quality checks for clouds and their shadows, snow, saturation, and limited illumination. The processed image time series are available in tiles of 30 by 30 km.

Example images

Uploaded is an example of the index EVI for one of the generated 30 by 30 km tiles located around the city of Zürich. The values are multiplied by 10.000. The time series spans the month of July from 2018.

Funding Information:

This work was supported by:
  • Swiss National Science Foundation (Grant/Award: 200021_184605)

Related Datasets

Koch, Tiziana; Weber, Dominique; Waser, Lars (2024). Sentinel-2 imagery of Switzerland. EnviDat. doi:10.16904/envidat.510.

Related Publications

  • D. Frantz, “FORCE—Landsat + Sentinel-2 Analysis Ready Data and Beyond,” Remote Sensing, vol. 11, no. 9, 2019.

  • M. Schwieder, P. J. Leit ̃ao, M. M. da Cunha Bustamante, L. G. Ferreira, A. Rabe, and P. Hostert, “Mapping Brazilian savanna vegetation gradients with Landsat time series,” International Journal of Applied Earth Observation and Geoinformation, vol. 52, pp. 361–370, 2016.

Citation:

Koch, Tiziana; Weber, Dominique; Waser, Lars (2024). Sentinel-2 time series of Switzerland. EnviDat. doi:10.16904/envidat.511.

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Data and Resources

Metadata

Field Values
DOI 10.16904/envidat.511
Publication State Published
Authors
  • Email: tiziana.lifoo(at)t-online.de Given Name: Tiziana Family Name: Koch Affiliation: WSL DataCRediT: Collection, Validation, Curation, Software, Publication
  • Email: dominique.weberfoo(at)wsl.ch ORCID: 0000-0002-0402-9682 Given Name: Dominique Family Name: Weber Affiliation: WSL DataCRediT: Validation, Publication, Supervision
  • Email: lars.waserfoo(at)wsl.ch ORCID: D-5937-2011 Given Name: Lars Family Name: Waser Affiliation: Swiss Federal Institute for Forest, Snow and Landscape Research WSL DataCRediT: Publication, Supervision
Contact Person Given Name: Tiziana Family Name: Koch Email: tiziana.lifoo(at)t-online.de
Subtitles
Publication Publisher: EnviDat Year: 2024
Dates
  • Type: Created Date: 2017-01-01 End Date: 2023-12-31
  • Type: Collected Date: 2017-01-01 End Date: 2023-12-31
Version 1.0
Type dataset
General Type Dataset
Language English
Location Switzerland
Content License Creative Commons Attribution Share-Alike (CC-BY-SA)    [Open Data]
Last Updated July 9, 2024, 06:01 (UTC)
Created May 23, 2024, 11:13 (UTC)