EventsThe 9th International Electronic Conference on Water Sciences
Published
This submission belongs to the session S7. Remote Sensing, Artificial Intelligence and New Technologies in Water Sciences of the event The 9th International Electronic Conference on Water Sciences
Published date
06 Nov, 2025
Academic Editor
author-avatarNikiforos Samarinas
Citation
Nikolaos Alpanakis, Athanasios Loukas, Pantelis Sidiropoulos, Spatio-Temporal Drought Assessment in the Pinios River Basin Using Ground Observations and Satellite Data., in Proceedings of The 9th International Electronic Conference on Water Sciences, 11 November–14 November 2025, MDPI: Basel, Switzerland
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Spatio-Temporal Drought Assessment in the Pinios River Basin Using Ground Observations and Satellite Data.

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1. School of Rural and Surveying Engineering, Aristotle University of Thessaloniki, 54124 Thessaloniki, Greece, Greece
2. Director of Hydraulic Works and Environmental Management Laboratory, Department of Transportation and Hydraulic Engineering, School of Rural and Surveying Engineering, Aristotle University of Thessaloniki, 54124 Thessaloniki, Greece, Greece
3. Laboratory of Hydraulic Works and Environmental Management, Department of Transportation and Hydraulic Engineering, School of Rural and Surveying Engineering, Aristotle University of Thessaloniki, 54124 Thessaloniki, Greece, Greece
Abstract

The aim of this paper is to analyze the spatial and temporal characteristics of drought in the Pinios River Basin, a water-limited Mediterranean basin in Thessaly, Greece, by comparing drought indices calculated by ground-based meteorological observations and satellite-derived data. Drought analysis was carried out for the period of October 1981–September 2002 using the Standardized Precipitation Index (SPI) and the Standardized Precipitation Evapotranspiration Index (SPEI) at multiple time scales, in comparison with the Surface Runoff Index (SRI) representing hydrological drought. Ground precipitation and temperature data were spatially interpolated using a Multiple Linear Regression method to create a 487-pixel grid (5X5 km). The CHIRPS precipitation data and the ERA5 reanalysis temperature data had the same resolution as the ground-observed data to allow comparisons. The potential evapotranspiration was estimated by the Thornthwaite method. Correlation analyses confirmed the satisfactory agreement between ground-based and remote sensing data. The results identified the severe and persistent droughts during the late 1980s, early 1990s, and early 2000s, with their spatial extent and intensity effectively captured by the indices calculated by the remote sensing data. Furthermore, the drought indices of various time scales were compared for an unregulated sub-basin of the Pinios River with the SRI index, and the results indicated that a meteorological drought index (SPI and/or SPEI) at a 6-month time scale correlates well with the SRI. Overall, the results demonstrate that satellite data from international databases can serve as a cost-effective and reliable alternative in regions with sparse observational networks, offering significant value for drought monitoring and water resources management in Mediterranean environments.

Keywords
Drought
SPI
SPEI
SRI
CHIRPS
ERA5
Pinios River Basin

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