Sentinel-2 Indice CVL Wheat Parcels: NDVI/EVI/NDWI Time Series for Harvest Prediction

Multi-granularity time series of vegetation and water indices derived from Sentinel-2 satellite imagery, specifically for wheat parcels. The data covers a five-year period from 2019 to 2024 and is intended for wheat harvest prediction modeling. It was sourced from the Kaggle platform, but the specific author and collection methodology are not provided.

Use Cases

• Predict wheat harvest yields based on vegetation index time series.
• Monitor crop health and water stress throughout the growing season using NDVI and NDWI.
• Train models for early detection of crop failure or suboptimal growth conditions.
• Analyze the relationship between satellite-derived indices and final agricultural output.

Strengths

• Provides a five-year temporal range from 2019 to 2024, enabling analysis of trends.
• Includes multiple established remote sensing indices (NDVI, EVI, NDWI) for comprehensive crop monitoring.
• Focuses on a specific crop (wheat) and application (harvest prediction), providing domain specificity.

Limitations

• Column-level documentation is absent; field semantics must be inferred after download.
• Row count is unknown, which may limit suitability assessment for large-scale modeling.
• Last update date is unknown; freshness unverified.

Provenance

Source

Kaggle

Collection Method

Derived from Sentinel-2 satellite imagery.

Time Range

2019-2024