Sulawesi Earthquake 2018, Copernicus Building Damage Classification

This map illustrates satellite-detected building damage assessment as of 02 October 2018, over Pantoloan area northeastern Palu city in Central Sulawesi following the 7.5 magnitude earthquake and subsequent tsunami of the 28th of September 2018. The analysis was conducted using a post-event Worldview-2 satellite image acquired 2 October 2018. UNITAR-UNOSAT identified in the analysed area 424 potentially damaged structures.Taking into account the pre-building footprints provided by Humanitarian OpenStreetMap, this represents about 10% of the total number of structures damaged within this analysed zone of Pantoloan. 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 building damage assessment as of 02 October 2018, over Tawaeli area northeastern Palu city in Central Sulawesi following the 7.5 magnitude earthquake and subsequent tsunami of the 28 September 2018. The analysis was conducted using a post event Worldview 2 satellite image acquired 2 October 2018. UNITAR UNOSAT identified in the analysed area 531 potentially damaged structures.Taking into account the pre-building footprints provided by Humanitarian OpenStreetMap, this represents 15% of the total number of structures damaged within this analysed zone of Tawaeli. 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 building damage assessment as of 02 October 2018, over Taipa area northeastern Palu city in Central Sulawesi following the 7.5 magnitude earthquake and subsequent tsunami of the 28th of September 2018. The analysis was conducted using a post-event Worldview-2 satellite image acquired 2 October 2018. UNITAR-UNOSAT identified in the analysed area 399 potentially damaged structures. Taking into account the pre-building footprints provided by Humanitarian OpenStreetMap, this represents 10 % of the total number of structures within this analysed zone of Taipa.This is a preliminary analysis and has not yet been validated in the field. Please send ground feedback to UNITAR-UNOSAT.

**UNOSAT code: EQ20191001IDN** This map illustrates satellite based structure damage assessment in the Eastern part of Salahutu District, Indonesia that was affected by the 6.8 magnitude earthquake of the 26th of September 2019 with an epicenter located north of Kamarian in Kairatu District. UNITAR-UNOSAT has identified within the extent of this map 17 potentially damaged structures around Waai village in Salahutu District. Taking into account the pre-building footprints provided by Humanitarian OpenStreetMap we estimate to less than 2% the total number of structures potentially damaged. Taking into account the type of structural damage and the satellite based damage assessment analysis characteristics and limitations; it is possible that the damage is underestimated. This is a preliminary analysis and has not yet been validated in the field. Please send ground feedback to UNITAR-UNOSAT.

**UNOSAT code: EQ20191001IDN** This map illustrates satellite based structure damage assessment in the Eastern part of Salahutu District, Indonesia that was affected by the 6.8 magnitude earthquake of the 26th of September 2019 with an epicenter located north of Kamarian in Kairatu District. UNITAR-UNOSAT has identified within the extent of this map 6 potentially damaged structures around Teluhu village in Salahutu District. Taking into account the pre-building footprints provided by Humanitarian OpenStreetMap we estimate to less than 1% the total number of structures potentially damaged. Taking into account the type of structural damage and the satellite based damage assessment analysis characteristics and limitations; it is possible that the damage is underestimated. This is a preliminary analysis and has not yet been validated in the field. Please send ground feedback to UNITAR-UNOSAT.

Building footprints across the area: every feature tagged `building=*`, from residential homes to hospitals, schools, and places of worship. Useful for population estimation, damage assessment, and urban planning. Coverage reflects where volunteer mappers have been active. Urban areas are usually well represented, remote areas may be sparse. Cross-check critical decisions with local field knowledge. - Source: OpenStreetMap, a free, collaborative world map - Tags: building - Part of the country exports on HDX by HOT