<p>CDI mode values.</p>

Serhii Nikulin's dataset contains Contour Density Indicator (CDI) modal values derived from Sentinel-2 satellite imagery to assess changes in agricultural landscapes. The data covers a region in southern Ukraine from 2020 to 2024, a period that includes military operations. The analysis demonstrates a systematic decline in CDI values, with a drop of up to 55% in the battle-line zone relative to 2020.

Use Cases

• Monitor agricultural landscape degradation based on changes in linear contour density.
• Assess the impact of military conflict on cultivated land structure based on temporal CDI analysis.
• Identify zones of depopulation and cultivation decline based on persistent loss of contour density.
• Support informed land-use management decisions in wartime and peacetime based on operational monitoring metrics.

Strengths

• Data is derived from Sentinel-2 satellite imagery, a reliable and openly available source.
• Covers a specific 4-year time range (2020-2024) that includes a period of conflict.
• Quantifies change with a specific metric, showing a CDI mode drop of up to 55% in a defined 30-km zone.
• Released under a permissive CC-BY-4.0 license.

Limitations

• Dataset is very small (5.5 KB), indicating limited scope or highly aggregated data.
• Row count and column-level documentation are unknown; field semantics must be inferred after download.
• The methodology and results are described, but the raw underlying satellite image data is not included.

Provenance

Source

figshare, author Serhii Nikulin.

Collection Method

Calculated from Sentinel-2 satellite images using a proposed Contour Density Indicator (CDI) methodology.

Time Range

2020 to 2024

Freshness

Last updated 2026-05-22 17:42:46; freshness should be verified.

Geography

An agricultural region in southern Ukraine, including a defined 30-km-wide battle-line zone.