The dataset is currently empty. Upload or create new data files. Then, you will be able to explore them in the Dataset Viewer.

Algeria Environmental & Soil Dataset

This repository provides a comprehensive, multi-source geospatial dataset covering the entire territory of Algeria. It integrates climate rasters, organism/land-cover layers, Sentinel-based indicators, parent material data, relief variables, and soil profile observations.
The dataset is suitable for Digital Soil Mapping (DSM), SCORPAN modelling, environmental analysis, and geospatial machine learning.


πŸ“¦ Dataset Overview

The dataset contains the following components:

1. Climate Data (TIF)

High-resolution raster layers for key climatic variables:

  • tmax β€” Maximum temperature
  • tmin β€” Minimum temperature
  • srad β€” Solar radiation
  • pre β€” Precipitation
  • vapr β€” Vapor pressure
  • wind β€” Wind speed

These variables capture spatial climatic gradients essential in SCORPAN (β€œC” factor).


2. Organism & Land-Cover Data (TIF)

Ecological and anthropogenic variables representing 20 organism/land categories, including:

  • Amphibians
  • Birds
  • Barren land
  • Cultivated areas
  • Deciduous trees
  • Evergreen trees
  • Herbaceous cover
  • Human activities
  • Mammals
  • Open water
  • Regularly flooded areas
  • Reptiles
  • Shrubs
  • Slope vegetation
  • Snow & ice
  • Soil RH Mean
  • Soil RS CV
  • Soil RS CSV
  • Trees
  • Urban zones

These layers represent biological and human influences on soil distribution (the β€œO” factor of SCORPAN).


3. Parent Material / Rocks (TIF)

Geological and lithological raster layers describing rock types and parent material.
Represents the β€œP” component of SCORPAN.


4. Relief & Terrain Data (TIF)

High-resolution geomorphometric variables:

  • Aspect (cos, sin, east, north)
  • Slope
  • Roughness
  • Regularly flooded terrain

These represent local terrain controls (the β€œR” factor).


5. Sentinel-Based Data

Derived satellite indices from Sentinel imagery, capturing:

  • Vegetation patterns
  • Moisture variability
  • Surface reflectance

Useful for environmental modelling and soil surface property inference.


6. Soil Profile Data (CSV)

Soil observations collected from approximately 2000 distinct locations across Algeria, provided in two formats:

  • Raw, non-splined soil measurements
  • Splined soil properties at standard depths:
    • 0–5 cm
    • 5–15 cm
    • 15–30 cm
    • 30–60 cm
    • 60–100 cm
    • 100–200 cm

Soil profiles include both site metadata and detailed soil attributes.


πŸ—ΊοΈ Resolution & Formats

  • Rasters are provided in GeoTIFF (.tif) format.
  • Soil profiles are provided in CSV (.csv) format.
  • Data sources have different native resolutions, depending on the original provider (climate, Sentinel, land-cover, DEM, geology, etc.).

🎯 Intended Applications

This dataset can be used for:

  • Digital Soil Mapping (DSM)
  • SCORPAN-based modelling
  • Machine learning / deep learning for soil prediction
  • Agricultural suitability analysis
  • Ecological and biodiversity modelling
  • Climate–soil interaction studies
  • Terrain analysis and environmental monitoring

πŸ“„ Citation

If you use this dataset, please cite the repository or the corresponding authors.


πŸ“¬ Contact

For questions, collaboration, or more data, please contact the dataset maintainer.

Downloads last month
13