Damage Assessment in Jojutla town, Jojutla Municipality, State of Morelos, Mexico
- Description:
- This map illustrates satellite-detected, potentially damaged structures in the town of Jojutla, Jojutla Municipality, Morelos State, Mexico. The analyzed area is located approximately 82 km west of the main shock epicenter of the 19 September 2017 M7.1 earthquake. UNITAR-UNOSAT identified 1,102 potentially damaged structures. The analysis was performed using a post-event Pleiades satellite image acquired on 03 October 2017 and Bing as pre-event image. This is a preliminary analysis and has not yet been validated in the field. It is important to consider the characteristics of the source imagery used in the analyses when interpreting results. For damage assessments it should be noted that only significant damage to the structural integrity of the buildings analyzed can be seen in imagery, while minor damage such as cracks or holes may not be visible at all. For flood extractions using radar data it is important to note that urban areas and highly vegetated areas may mask the flood signature and result in underestimation of flood waters. Users with specific questions or concerns should contact unosat@unitar.org to seek clarification. This layer is presented in the WGS84 coordinate system for web display purposes. Downloadable data are provided in native coordinate system or projection.
- Creator:
- United Nations Operational Satellite Applications Programme
- Publisher:
- United Nations Institute for Training and Research
- Provider:
- Stanford
- Resource Class:
- Datasets
- Resource Type:
- Point data
- Subject:
- Earthquake damage and Structure
- Theme:
- Structure
- Temporal Coverage:
- 2017
- Date Issued:
- 2017
- Spatial Coverage:
- Jojutla de Juárez (Mexico)
- Rights:
- Under the CC BY-SA license, you are free to share (copy and redistribute the material in any medium or format) and or adapt (remix, transform, and build upon the material) for any purpose, even commercially. The licensor cannot revoke these freedoms as long as you follow the license terms. The license terms are that you must give appropriate credit, provide a link to the license, and indicate if changes were made. You may do so in any reasonable manner, but not in any way that suggests the licensor endorses you or your use. If you remix, transform, or build upon the material, you must distribute your contributions under the same license as the original. Additionally, you may not apply legal terms or technological measures that legally restrict others from doing anything the license permits.
- License:
- https://creativecommons.org/licenses/by-sa/3.0/legalcode
- Access Rights:
- Public
- Format:
- Shapefile
- Georeferenced:
- false
- More details at:
- https://purl.stanford.edu/xw253wv1861