A comprehensive dataset of surface deformation satellite maps of the valley of Toluca, Mexico
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) techniqu...
| Main Authors: | , , , , |
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| Format: | Article |
| Language: | English |
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Elsevier
2023-12-01
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| Series: | Data in Brief |
| Subjects: | |
| Online Access: | http://www.sciencedirect.com/science/article/pii/S2352340923008028 |
| _version_ | 1797430012849160192 |
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| author | Iván Francisco-Valencia Roberto Alejo-Eluterio Javier Salas-Garcia Rosa María Valdovinos-Rosas Everardo Granda-Gutiérrez |
| author_facet | Iván Francisco-Valencia Roberto Alejo-Eluterio Javier Salas-Garcia Rosa María Valdovinos-Rosas Everardo Granda-Gutiérrez |
| author_sort | Iván Francisco-Valencia |
| collection | DOAJ |
| description | 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. |
| first_indexed | 2024-03-09T09:21:35Z |
| format | Article |
| id | doaj.art-de692fbf0eb34229a8ea0988ec4638b7 |
| institution | Directory Open Access Journal |
| issn | 2352-3409 |
| language | English |
| last_indexed | 2024-03-09T09:21:35Z |
| publishDate | 2023-12-01 |
| publisher | Elsevier |
| record_format | Article |
| series | Data in Brief |
| spelling | doaj.art-de692fbf0eb34229a8ea0988ec4638b72023-12-02T07:00:14ZengElsevierData in Brief2352-34092023-12-0151109733A comprehensive dataset of surface deformation satellite maps of the valley of Toluca, MexicoIván Francisco-Valencia0Roberto Alejo-Eluterio1Javier Salas-Garcia2Rosa María Valdovinos-Rosas3Everardo Granda-Gutiérrez4Instituto Tecnológico de Toluca, Av. Tecnológico S/N. Colonia Agrícola Bellavista C.P. 52149, Metepec, Estado de México, Mexico; Corresponding author.Instituto Tecnológico de Toluca, Av. Tecnológico S/N. Colonia Agrícola Bellavista C.P. 52149, Metepec, Estado de México, MexicoFacultad de Ingeniería, Universidad Autónoma del Estado de México, Cerro de Coatepec S/N Ciudad Universitaria C.P. 50100. Toluca, Estado de México, MexicoFacultad de Ingeniería, Universidad Autónoma del Estado de México, Cerro de Coatepec S/N Ciudad Universitaria C.P. 50100. Toluca, Estado de México, MexicoCentro Universitario UAEM Atlacomulco, Universidad Autónoma del Estado de México, Autopista Toluca-Atlacomulco km 60, C.P. 50400, Atlacomulco, Estado de México, MexicoThis 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.http://www.sciencedirect.com/science/article/pii/S2352340923008028Land monitoringInterferogramDInSARSentinel 1Coherence interferogram |
| spellingShingle | Iván Francisco-Valencia Roberto Alejo-Eluterio Javier Salas-Garcia Rosa María Valdovinos-Rosas Everardo Granda-Gutiérrez A comprehensive dataset of surface deformation satellite maps of the valley of Toluca, Mexico Data in Brief Land monitoring Interferogram DInSAR Sentinel 1 Coherence interferogram |
| title | A comprehensive dataset of surface deformation satellite maps of the valley of Toluca, Mexico |
| title_full | A comprehensive dataset of surface deformation satellite maps of the valley of Toluca, Mexico |
| title_fullStr | A comprehensive dataset of surface deformation satellite maps of the valley of Toluca, Mexico |
| title_full_unstemmed | A comprehensive dataset of surface deformation satellite maps of the valley of Toluca, Mexico |
| title_short | A comprehensive dataset of surface deformation satellite maps of the valley of Toluca, Mexico |
| title_sort | comprehensive dataset of surface deformation satellite maps of the valley of toluca mexico |
| topic | Land monitoring Interferogram DInSAR Sentinel 1 Coherence interferogram |
| url | http://www.sciencedirect.com/science/article/pii/S2352340923008028 |
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