Mostrar el registro sencillo del objeto digital
dc.contributor.author | Francisco Valencia, Iván | |
dc.contributor.author | Alejo Eleuterio, Roberto | |
dc.contributor.author | Salas García, Javier | |
dc.contributor.author | Valdovinos Rosas, Rosa María | |
dc.contributor.author | Granda Gutiérrez, Everardo Efrén | |
dc.date.accessioned | 2024-02-07T21:25:38Z | |
dc.date.available | 2024-02-07T21:25:38Z | |
dc.date.issued | 2023-10-28 | |
dc.identifier.issn | 2352-3409 | |
dc.identifier.uri | http://hdl.handle.net/20.500.11799/139896 | |
dc.description | Artículo sobre una colección de mapas digitales | es |
dc.description.abstract | This work presents a substantial compilation of ground deformation maps portraying the dynamic evolution of the Valley of Toluca (VT) in Mexico. The dataset comprises a repository of 1121 BEAM-DIMAP formated maps obtained by the Differential Interferometric Synthetic Aperture Radar (DInSAR) technique. Leveraging satellite image pairs from the Sentinel 1-A and Sentinel 1-B satellites, the dataset spans intervals of 1, 3, 6, and 12 months between each image acquisition and covers a panoramic timeframe from October 2014 to December 2022. This compilation provides an in-depth chronicle of the VT’s ground transformations over a span of eight years that could be of interest to various disciplines. To enhance the dataset’s robustness, a supplementary comma-separated values (CSV) dataset includes the coherence statistics from the satellite image pairs, substantiating the precision and dependability of the ground deformation maps presented herein. | es |
dc.language.iso | eng | es |
dc.publisher | Data in Brief | es |
dc.rights | openAccess | es |
dc.rights.uri | http://creativecommons.org/licenses/by/4.0 | es |
dc.subject | Satellite maps | es |
dc.subject | Images | es |
dc.subject | Deformation maps | es |
dc.subject | DInSAR | es |
dc.subject.classification | INGENIERÍA Y TECNOLOGÍA | es |
dc.title | A comprehensive dataset of surface deformation satellite maps of the Valley of Toluca, Mexico | es |
dc.type | Artículo | es |
dc.provenance | Científica | es |
dc.road | Dorada | es |
dc.organismo | Ingeniería | es |
dc.ambito | Internacional | es |
dc.relation.vol | 51 | |
dc.relation.año | 2023 | |
dc.relation.doi | https://doi.org/10.1016/j.dib.2023.109733 |