Published June 23, 2025 | Version v1
Dataset Open

Monthly time series for land deformation in Baton Rouge, LA (InSAR, groundwater level models, hydrological loading, NTAL, and NTOL)

  • 1. Tulane University
  • 2. EDMO icon Purdue University
  • 3. EDMO icon University of Colorado at Boulder
  • 4. ROR icon Louisiana State University

Description

This repository contains the dataset to support the results produced by Hurtado-Pulido, Materna, Mohamed, Ebinger and Tsai "Quantifying seasonal deformation signals using InSAR in Baton Rouge, South Louisiana (2016-2022)".

The datasets used for this project were compiled and curated by Hurtado-Pulido from different sources. For more detail on each part, please read the READme file.

The groundwater level models were created by Mohamed and Tsai. For more detail about the model please refer to the paper https://www.sciencedirect.com/science/article/pii/S0022169424007893 (Complex unstructured-grid groundwater modeling using centroidal Voronoi tessellation refinement and curve fitting).

If you use this dataset or part of it please also cite the original references listed in the READme document.

Please address any questions about this dataset to Hurtado-Pulido.

 

 

Files

READme.txt

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