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.
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.
the Creative Commons Attribution 4.0 License.
Data description paper
| 
26 Feb 2025
Data description paper |
| 26 Feb 2025
| 26 Feb 2025
Time series of Landsat-based bimonthly and annual spectral indices for continental Europe for 2000–2022
Xuemeng Tian
CORRESPONDING AUTHOR
OpenGeoHub, Doorwerth, the Netherlands
Laboratory of Geo-Information Science and Remote Sensing, Wageningen University & Research, Wageningen, the Netherlands
Davide Consoli
OpenGeoHub, Doorwerth, the Netherlands
Martijn Witjes
OpenGeoHub, Doorwerth, the Netherlands
Florian Schneider
Thünen Institute of Climate-Smart Agriculture, Braunschweig, Germany
Leandro Parente
OpenGeoHub, Doorwerth, the Netherlands
Murat Şahin
OpenGeoHub, Doorwerth, the Netherlands
Yu-Feng Ho
OpenGeoHub, Doorwerth, the Netherlands
Robert Minařík
OpenGeoHub, Doorwerth, the Netherlands
Tomislav Hengl
OpenGeoHub, Doorwerth, the Netherlands
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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.
Our study introduces a Landsat-based data cube simplifying access to detailed environmental data...
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