Geoelectric resistivity transects and drone imagery monitor a Scots Pine forest's response to irrigation treatments in 2022. Data includes two resistivity transects measured in May and July, repeated over 3-7 days, alongside raw and processed drone images. The dataset is provided by ENVIDAT to support a 2024 publication in New Phytologist.
Use Cases
- Analyze temporal changes in soil electrical resistivity from transect data to assess water availability before and after irrigation.
- Correlate drone-derived PRI maps with geoelectric measurements to link canopy-level stress signals to subsurface conditions.
- Compare geophysical responses across the irrigation, control, and irrigation stop treatment zones within the transects.
- Reproduce the manuscript's findings using the provided Python code for processing raw drone images and resistivity data.
Strengths
- Includes two complete geoelectric resistivity transects captured in distinct seasons (May and July 2022).
- Drone imagery is provided in both raw and post-processed forms, including derived PRI maps.
- Accompanied by a full, reproducible Python codebase for data processing and analysis.
Limitations
- Specific sample sizes, row counts, and spatial resolution for transects and images are not provided.
- Data is confined to a single forest site (Pfynwald) and one year, limiting generalizability.
- The description does not specify the license, file formats, or exact data volume.
Provenance
- Source
- ENVIDAT, associated with a published study in New Phytologist (Shakas et al., 2024).
- Collection Method
- Field measurements from electrical resistivity transects and aerial drone surveys.
- Time Range
- 2022, with specific measurements in May and July.
- Freshness
- Data from 2022, with metadata last updated in January 2024.
- Geography
- Pfynwald forest site, with transects crossing irrigation, control, and irrigation stop treatments.