Dari et al. (2024) The Temporal-Stability-Based Irrigation MAPping (TSIMAP) Method: A Virtuous Trade-Off between Accuracy, Flexibility, and Facility for End-Users

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Identification

• Journal: Water
• Year: 2024
• Authors: Jacopo Dari, Renato Morbidelli, Pere Quintana Seguí, Luca Brocca
• DOI: 10.3390/w16050644

Research Groups

Not specified in the text.

Short Summary

This study updates the Temporal-Stability-derived Irrigation MAPping (TSIMAP) method by replacing satellite soil moisture input with 1 km Normalised Difference Vegetation Index (NDVI) data over the Ebro basin (Spain), achieving high overall accuracy (up to 93% in focus areas) and demonstrating improved performance compared to the original implementation.

Objective

• To update the Temporal-Stability-derived Irrigation MAPping (TSIMAP) method by utilizing 1 kilometre (km) Normalised Difference Vegetation Index (NDVI) data instead of satellite soil moisture.
• To demonstrate that the flexibility of the NDVI-based approach maintains or improves the accuracy of irrigation extent mapping compared to the original soil moisture-based TSIMAP.

Study Configuration

• Spatial Scale: 1 kilometre (km) resolution; applied over the Ebro basin (Spain) and a focus area ("Ebro_CATAR").
• Temporal Scale: Based on time series analysis for temporal stability (specific duration not specified).

Methodology and Data

• Models used: TSIMAP (Temporal-Stability-derived Irrigation MAPping) method (updated configuration relying on NDVI).
• Data sources: Copernicus Global Land Service (CGLS) data; 1 km Normalised Difference Vegetation Index (NDVI); comparison made against previous results derived from satellite soil moisture.

Main Results

• In the focus area ("Ebro_CATAR"), the NDVI-based TSIMAP achieved an overall accuracy (OA) up to 93%.
• The NDVI configuration resulted in an increase in OA ranging from +2% to +6% compared to the original soil moisture-based TSIMAP implementation.
• The basin-scale application across the Ebro basin achieved a satisfactory overall accuracy (OA) of 75%, despite higher heterogeneity.

Contributions

• Demonstrates the successful adaptation and flexibility of the TSIMAP method by substituting satellite soil moisture input with 1 km NDVI data.
• Provides evidence that the NDVI-based TSIMAP configuration can achieve higher overall accuracy (up to 6% improvement) than the original soil moisture implementation in specific focus areas.
• Validates the applicability of the simplified TSIMAP approach for large-scale water management by successfully mapping irrigation extent across a heterogeneous basin (Ebro basin).

Funding

Not specified in the text.

Citation

@article{Dari2024TemporalStabilityBased,
  author = {Dari, Jacopo and Morbidelli, Renato and Quintana‐Seguí, Pere and Brocca, Luca},
  title = {The Temporal-Stability-Based Irrigation MAPping (TSIMAP) Method: A Virtuous Trade-Off between Accuracy, Flexibility, and Facility for End-Users},
  journal = {Water},
  year = {2024},
  doi = {10.3390/w16050644},
  url = {https://doi.org/10.3390/w16050644}
}

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