Published March 27, 2024 | Version v20240319
Dataset Open

Landsat-based Spectral Indices for pan-EU 2000-2022 - Bimonthly predictor (2000-09-01/2000-10-31): Spectral indices

Description

Data information

This dataset includes widely used indices for 2000-09-01/2000-10-31. It covers key aspects such as vegetation, crops, soil, and water, available bimonthly (i.e. one value per two months).

  • Normalized Difference Vegetation Index (NDVI) is used to evaluate vegetation health and biomass. It is calculated as (nir - red) / (nir + red) (Tucker, 1979).
  • Normalized Difference Tillage Index (NDTI), also known as Normalized Burn Ratio 2 (NBR2), used in tillage detection, post-fire recovery studies, and soil sealing identification. It is calculated as (swir1 - swir2) / (swir1 + swir2) (Van Deventer et al., 1997).
  • Soil Adjusted Vegetation Index (SAVI) is more effective in areas with sparse vegetation by minimizing the impact of soil brightness on vegetation sensing. It is calculated as ((nir - red) / (nir + red + 0.5)) * 1.5 (Huete, 1988).
  • Fraction of Absorbed Photosynthetically Active Radiation (FAPAR) provides a more direct measurement of plant productivity. It is calculated as ((ndvi - 0.03) * (0.95 - 0.001)) / (0.96 - 0.03) + 0.001 (Robinson et al., 2018).
  • Normalized Difference Water Index (NDWI) provides insights into water dynamics and climatic characteristics. It is calculated as (nir - swir1) / (nir + swir1) (Gao, 1996).
  • Normalized Difference Snow Index (NDSI) helps identify snowy areas. It is calculated as (green - swir1) / (green + swir1) (Salomonson and Appel, 2006).

As a part of a Data Cube

This data represents a subset of the Time-series of Landsat-based Spectral Indices (EU, 30m) data cube. For a comprehensive overview and full dataset information, please visit the landing page of this data cube using the provided link.

  • To cite this dataset, refer to the DOI available on the landing page.
  • To access other data layers in the data cube, use the navigation catalog on the landing page as well.

Support

If you discover a bug, artifact, or inconsistency, or if you have a question, please raise a Github Issue!

Files

00_preview.png

Additional details

Related works

Continues
Dataset: https://zenodo.org/records/10884312 (URL)
Is continued by
Dataset: https://zenodo.org/records/10884359 (URL)
Is part of
Dataset: 10.5281/zenodo.10776891 (DOI)

Funding

European Commission
AI4SoilHealth - AI4SoilHealth: Accelerating collection and use of soil health information using AI technology to support the Soil Deal for Europe and EU Soil Observatory 101086179