Soil properties as point estimations over the Cypriot pilot area (2022)
Authors/Creators
Description
In the context of the EU-funded project DIONE (No. 870378), VNIR topsoil reflectance was captured with DIONE’s Soil Scanning System and transformed through Machine Learning modelling to a set of soil properties that are meaningful for the assessment of soil health. The captured reflectance measurements correspond to locations distributed within the pilot areas of Cyprus and are indicated after the analysis of EO multispectral imagery, aiming to create a collection of point locations that well represent the soil characteristics of the area, and provide valuable information about soil condition through the estimations of the following soil properties:
- Sand %
- Clay %
- Silt %
- Electrical Conductivity (mS/m)
- pH
- Calcium carbonate %
- Soil Organic Carbon %
The dataset is delivered in a shapefile format (DIONE_CY_point_estimations_2022_WP4.shp - EPSG:4326 - WGS 84) containing the following fields:
| Field | Type | Description |
|---|---|---|
| Sample_ID | String | Unique ID |
| Lat | Real | Latitude |
| Lon | Real | Longitude |
| Sand | Real | Sand fraction |
| Clay | Real | Clay fraction |
| Silt | Real | Silt fraction |
| EC | Real | Electrical Conductivity |
| ph_H20 | Real | pH |
| CaCO3 | Real | Calcium Carbonate |
| SOC | Real | Soil Organic Carbon |
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