DOI: 10.5281/zenodo.7180023
title: Data for the analysis of aquifer-system deformation in the Doñana Natural Space (Spain) using unsupervised cloud-computed InSAR data and wavelet analysis

description: This are the data necessary to correlate InSAR and hydrogeological information through wavelet analysis, by WaSAR Python script (Jiménez-González & Guardiola-Albert, 2022, http://doi.org/10.5281/zenodo.6334996). The structure and information about the data is the following: PSBAS: Processed Interferometric Synthetic Aperture Radar (InSAR) data from the European Space Agency (ESA) Sentinel-1 satellites to estimate line-of-sight (LOS) ground motion in the period 2014-2020 in the Doñana area (SW Spain). These images have been processed using the P-SBAS approach (Parallel Small BAseline Subset), which is the parallel computing solution for the SBAS processing chain at the ESA Geohazards Exploitation Platform (GEP) by CNR-IREA. Aggregates deformation: Former InSAR information aggregated in polygons Climate: rainfall and ET information in the Doñana area for the 2014-2020 period. Daily records of evapotranspiration and precipitation have been obtained from the agroclimatic stations belonging to the Junta de Andalucía (https://www.juntadeandalucia.es/agriculturaypesca/ifapa/riaweb/web/). Piezometry: piezometry information in Doñana area for the 2014-2020 period. Groundwater level information was provided by the piezometric networks of the Guadalquivir Hydrographic Confederation and the Geological and Mining Institute of Spain. Pump rates: estimated pumping rate time series in the Matalascañas touristic resort
description: These are the data used for the publication named Analysis of aquifer-system deformation in the Doñana Natural Space (Spain) using unsupervised cloud-computed InSAR data and wavelet analysis, which will be submitted in the next weeks. We acknowledge the Geological and Mining Institute of Spain and Guadalquivir Hydrographic Confederation for providing the piezometry data, as well as Junta de Andalucía for providing the meteorological information. The authors wish to extend special thanks to Fernando Ruiz Bermudo and Antonio N. Martínez Sánchez de la Nieta, from the Geological and Mining Institute of Spain. Without their special dedication the observations would not have been available. We also thank to Ayterra enterprise, for sharing their information and expertise in the study area. Copernicus Sentinel-1 IW SAR data were provided and processed in ESA's Geohazards Exploitation Platform (GEP), in the framework of the GEP Early Adopters Programme. Data processing was carried out with the P-SBAS and FASTVEL services developed and integrated respectively by CNR-IREA and TRE-Altamira in the GEP. These data are gathered as part of the work of the subsidized activities within the National Youth Guarantee System (PEJ2018-002477), funded by the Tripartite Foundation for Training in Employment, the YEI initiative (Youth Employment Initiative) and the European Social Fund (ESF), the RESERVOIR project which is part of the PRIMA Programme supported by the European Union (Grant Agreement number: [1924] [RESERVOIR] [Call 2019 Section 1 Water RIA]), and SARAI project funded by Ministry of Science and Innovation of Spain (MCIN/ AEI /10.13039/501100011033, PID2020-116540RB-C22).