Bocchino et al. (2026) A Hierarchical Robust Combined Index for Agricultural Drought Detection and Monitoring Using Earth Observation Big Data and Google Earth Engine: Application to a Case Study in Southern Italy

Identification

• Journal: IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing
• Year: 2026
• Date: 2026-01-01
• Authors: Filippo Bocchino, Giulia Graldi, Camillo Zaccarini, Deodato Tapete, Alessandro Ursi, Maria Virelli, Patrizia Sacco, Valeria Belloni, Roberta Ravanelli, Mattia Crespi
• DOI: 10.1109/jstars.2026.3663697

Research Groups

[Information not available in the provided text.]

Short Summary

This paper proposes a hierarchical robust combined index for the detection and monitoring of agricultural drought, leveraging Earth Observation big data and the Google Earth Engine platform, with an application focused on Southern Italy.

Objective

• To develop and apply a hierarchical robust combined index for agricultural drought detection and monitoring using Earth Observation Big Data and Google Earth Engine.

Study Configuration

• Spatial Scale: Southern Italy (case study).
• Temporal Scale: [Information not available in the provided text, but implies continuous or periodic monitoring.]

Methodology and Data

• Models used: A hierarchical robust combined index (specific models within the index are not detailed in the provided text); Google Earth Engine (as a platform).
• Data sources: Earth Observation Big Data.

Main Results

[Information not available in the provided text.]

Contributions

[Information not available in the provided text.]

Funding

[Information not available in the provided text.]

Citation

@article{Bocchino2026Hierarchical,
  author = {Bocchino, Filippo and Graldi, Giulia and Zaccarini, Camillo and Tapete, Deodato and Ursi, Alessandro and Virelli, Maria and Sacco, Patrizia and Belloni, Valeria and Ravanelli, Roberta and Crespi, Mattia},
  title = {A Hierarchical Robust Combined Index for Agricultural Drought Detection and Monitoring Using Earth Observation Big Data and Google Earth Engine: Application to a Case Study in Southern Italy},
  journal = {IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing},
  year = {2026},
  doi = {10.1109/jstars.2026.3663697},
  url = {https://doi.org/10.1109/jstars.2026.3663697}
}