Allende-Prieto et al. (2025) Application of PAZ satellite radar images for soil moisture monitoring in urban areas

Identification

• Journal: Elsevier eBooks
• Year: 2025
• Date: 2025-12-06
• Authors: Cristina Allende-Prieto, Luis Á. Sañudo-Fontaneda
• DOI: 10.1016/b978-0-443-40296-8.00019-7

Research Groups

• Department of Mining Exploitation and Prospecting, Area of Cartographic, Geodesic and Photogrammetric Engineering, University of Oviedo, Gijon, Spain
• Department of Construction and Manufacturing Engineering, University of Oviedo, Mieres, Spain

Short Summary

This study applies high-resolution PAZ satellite radar images to monitor soil moisture in urban sustainable urban drainage systems, establishing strong correlations between soil moisture and air humidity, precipitation, and the normalized difference vegetation index using temporal series data.

Objective

• To apply PAZ satellite radar images for high-resolution monitoring of soil moisture (SM) in urban sustainable urban drainage systems.
• To establish correlations between SM and environmental parameters (air humidity, precipitation, and the normalized difference vegetation index) using temporal series data in urban environments.

Study Configuration

• Spatial Scale: Urban areas, high-resolution monitoring (specific resolution not provided).
• Temporal Scale: Temporal series (specific duration not provided, but implies repeated measurements over time).

Methodology and Data

• Models used: Not explicitly named models (e.g., ISBA, mHM). The methodology involves using PAZ satellite radar data and temporal series analysis to establish correlations. Terrain Ruggedness Index and Topographic Wetness Index were used for training plot selection.
• Data sources: PAZ satellite radar images, air humidity measurements, precipitation data, Normalized Difference Vegetation Index (NDVI).

Main Results

• PAZ satellite radar data was successfully utilized for high-resolution soil moisture monitoring in urban sustainable urban drainage systems.
• Strong correlations were established between soil moisture and air humidity, precipitation, and the normalized difference vegetation index through temporal series analysis.
• The selection of training plots with homogeneous terrain ruggedness index and topographic wetness index ensured the reliable contribution of the radar signal to soil moisture assessment.

Contributions

• Demonstrated the novel application of high-resolution PAZ satellite radar data for soil moisture monitoring specifically within urban sustainable urban drainage systems.
• Provided evidence of strong temporal correlations between urban soil moisture and key environmental variables (air humidity, precipitation, NDVI) using satellite radar data.

Funding

• Not mentioned in the provided text.

Citation

@article{AllendePrieto2025Application,
  author = {Allende-Prieto, Cristina and Sañudo-Fontaneda, Luis Á.},
  title = {Application of PAZ satellite radar images for soil moisture monitoring in urban areas},
  journal = {Elsevier eBooks},
  year = {2025},
  doi = {10.1016/b978-0-443-40296-8.00019-7},
  url = {https://doi.org/10.1016/b978-0-443-40296-8.00019-7}
}