Time series of Landsat-based bimonthly and annual spectral indices for continental Europe for 2000–2022

Tian, Xuemeng; Consoli, Davide; Witjes, Martijn; Schneider, Florian; Parente, Leandro; Şahin, Murat; Ho, Yu-Feng; Minařík, Robert; Hengl, Tomislav

doi:https://doi.org/10.5194/essd-17-741-2025

Articles | Volume 17, issue 2

https://doi.org/10.5194/essd-17-741-2025

© Author(s) 2025. This work is distributed under
the Creative Commons Attribution 4.0 License.

https://doi.org/10.5194/essd-17-741-2025

© Author(s) 2025. This work is distributed under
the Creative Commons Attribution 4.0 License.

Articles | Volume 17, issue 2

Data description paper

|

26 Feb 2025

Data description paper |

| 26 Feb 2025

Time series of Landsat-based bimonthly and annual spectral indices for continental Europe for 2000–2022

Xuemeng Tian, Davide Consoli, Martijn Witjes, Florian Schneider, Leandro Parente, Murat Şahin, Yu-Feng Ho, Robert Minařík, and Tomislav Hengl

Data sets

Landsat-based Spectral Indices for pan-EU 2000-2022 Xuemeng Tian et al. https://doi.org/10.5281/zenodo.10776891

Landsat-based Spectral Indices Data Cube - Access Catalog Google Sheet link https://docs.google.com/spreadsheets/d/1QTA6OkkYlZljfHst_inCrkC7DJcMAyHnM9k0iHulwpg/edit?usp=sharing

Model code and software

AI4SoilHealth/SoilHealthDataCube: v20241204-1 (v20241204-1) Xuemeng Tian et al. https://doi.org/10.5281/zenodo.12907281

Short summary

Our study introduces a Landsat-based data cube simplifying access to detailed environmental data across Europe from 2000 to 2022, covering vegetation, water, soil, and crops. Our experiments demonstrate its effectiveness in developing environmental models and maps. Tailored feature selection is crucial for its effective use in environmental modeling. It aims to support comprehensive environmental monitoring and analysis, helping researchers and policy-makers in managing environmental resources.