Landsat-based Spectral Indices for pan-EU 2000-2022
Description General description Here, we present the ARCO (analysis-ready and cloud-optimized) Landsat-based Spectral Indices data cube. Available at 30m resolution from 2000 to 2022, it includes multiple spectral indices and multi-tier predicto
Description
General description
Here, we present the ARCO (analysis-ready and cloud-optimized) Landsat-based Spectral Indices data cube. Available at 30m resolution from 2000 to 2022, it includes multiple spectral indices and multi-tier predictors (bimonthly, annual, and long-term) for continental Europe, including Ukraine, the UK, and Turkey (excluding Svalbar). This data cube has a broad coverage of indices, each providing unique insights into different aspects, including: surface reflectance, vegetation, water, soil and crop. All data layers are cloud-masked and then gap-filled, ready for analysis, modeling, and mapping applications. Technical details:
- Coordinate reference system: EPSG:3035
- Bounding box (Xmin, Ymin, Xmax, Ymax): (900,000, 899,000, 7,401,000, 5,501,000)
- Spatial resolution: 30m
- Image size: 216,700P x 153,400L
- File format: Cloud Optimized Geotiff (COG) format.
Considering the data volume, only bimonthly data layers for the years 2000 and 2022 are uploaded. However, all annual and long-term layers are available. For the full data cube, please visit this catalog. Due to Zenodo’s storage limits, the data layers are stored in different buckets. Use the identifier-navigation list below to access the bucket of your interest and download the corresponding layers.
Identifier navigation list
This data cube includes 4 tiers of data, depending on the processing extend in the temporal scale:
- Tier-1: Bimonthly Landsat reflectance bands
2000 (Jan Mar May Jul Sep Nov) 2022 (Jan Mar May Jul Sep Nov) - Tier-2: Bimonthly spectral indices
2000 (Jan Mar May Jul Sep Nov) 2022 (Jan Mar May Jul Sep Nov) - Tier-3: Annual predictors
- Reflectance bands, NDVI and NDWI P25
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- Reflectance bands, NDVI and NDWI P25
Files are hosted on the source repository. Click download to access the full dataset.