Damage Assessment in Tlaquiltenango Town, Municipality of Tlaquiltenango, State of Morelos, Mexico

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. Please send ground feedback to UNITAR - UNOSAT.

This map illustrates satellite-detected, potentially damaged structures in the town of Coatetelco, Miacatlan Municipality, Morelos State, Mexico. The analyzed area is located approximately 90 km northwest of the main shock epicenter of the 19 September 2017 M7.1 earthquake. UNITAR-UNOSAT identified 500 potentially damaged structures. The analysis was performed using a post-event WorldView-3 satellite image acquired on 22 September 2017 and a pre-event WorldView-2 satellite image acquired on 17 January 2017. This is a preliminary analysis and has not yet been validated in the field. Please send ground feedback to UNITAR - UNOSAT.

This map illustrates satellite-detected, potentially damaged structures in the town of Atzala, Atzala Municipality, Puebla State, Mexico. The analysed area is located approximately 7 km west of the mainshock epicentre of the 19 September M 7.1 earthquake. UNITAR-UNOSAT identified 91 potentially damaged structures of which 78 are within the town extent. Taking in account the total 559 pre-event structures in Atzala town, 14% of the structures are likely to be damaged. These analyses was performed using a post-event Pleiades satellite image acquired on 22 September 2017 and a pre-event WorldView-2 satellite image acquired on 11 April 2017. This is a preliminary analysis and has not yet been validated in the field. Please send ground feedback to UNITAR - UNOSAT.

This map illustrates UAV images-detected and field work survey damaged structures in the town of Tlayacapan located in Tlayacapan Municipality, Morelos State, Mexico. The analyzed area is located at 68 km north-west of the epicentral zone of the 19 September 2017 M7.1 earthquake. The Institute of Geography of the National Autonomous University of Mexico (IGG-UNAM) identified 189 damaged structures. The analysis was performed using a post-event UAV images acquired on 7 October 2017 and field work. Please send ground feedback to UNITAR - UNOSAT.

This map illustrates satellite-detected, potentially damaged structures in the central western part of the city of Cuernavaca and more specifically in the neighborhoods of Downtown, La Mina 2 and Altavista, Cuernavaca Municipality, Morelos State, Mexico. UNITAR-UNOSAT detected a general moderate damage with a few collapsed structures and identified 1,494 potentially affected structures. The analysis was performed using a post-event WorldView-3 satellite image acquired on 22 September 2017 and a pre-event WorldView-2 satellite image acquired on 13 February 2017. This is a preliminary analysis and has not yet been validated in the field. Please send ground feedback to UNITAR - UNOSAT.

This map illustrates satellite-detected, potentially damaged structures in the Historical Center of Puebla located in Heroica Puebla de Zaragoza Municipality, Puebla State, Mexico. The analyzed area is located approximately 90 km north of the epicentral zone of the 19 September 2017 M7.1 earthquake. the Institute of Geography of the National Autonomous University of Mexico (IGG-UNAM) identified 336 potentially damaged structures from which 256 are within Historical Center. The analysis was performed using a post-event WorldView-3 satellite image acquired on 23 September 2017 and a pre-event WorldView-2 satellite image acquired on 28 July 2017. This is a preliminary analysis and has not yet been validated in the field. Please send ground feedback to UNITAR - UNOSAT.