Indonesia: 2018 Earthquake-Tsunami in Palu

✦ DISCOVERED BY ORIONAIEsriGeoscienceIndonesia
Map preview of Indonesia: 2018 Earthquake-Tsunami in PaluIndonesia

About this dataset

Imagery captured by Digital Globe on 2 October 2018 of Palu, Indonesia. The data is available as a service https://www.arcgis.com/home/item.html?id=d0ff196041e04e0d8d3a09e1e435625d where the tiffs can also be downloaded.

Documentation

Remote Sensing https://www.digitalglobe.com/opendata/indonesia-earthquake-tsunami/post-event https://www.digitalglobe.com/opendata/indonesia-earthquake-tsunami/license

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This is a shape file showing the potential for inundation on the coast of Palu City and its surroundings, as a result of the Central Sulawesi Tsunami. This file was generated by BMKG - the Indonesian Meteorological, Climatological, and Geophysical agency.

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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.

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# Palu - ARIA Damage Proxy Map v0.7 The Advanced Rapid Imaging and Analysis (ARIA) team at NASA's Jet Propulsion Laboratory in Pasadena, California, and Caltech, also in Pasadena, created this Damage Proxy Map (DPM) depicting areas in Central Sulawesi, Indonesia, including the city of Palu, that are likely damaged (shown by red and yellow pixels) as a result of the M7.5 September 28, 2018 earthquake. The map is derived from synthetic aperture radar (SAR) images from the ALOS-2 satellite, operated by Japan Aerospace Exploration Agency (JAXA). The images were taken before (August 8, 2018) and after (October 3, 2018) the earthquake. The map covers an area of 67 by 70 kilometers, shown by the large red polygon. Each pixel measures about 30 meters across. The color variation from yellow to red indicates increasingly more significant ground surface change. Preliminary validation was done in collaboration with the Earth Observatory of Singapore by comparing with local media information and photos. This damage proxy map should be used as guidance to identify damaged areas, and may be less reliable over vegetated areas. For example, the scattered single colored pixels over vegetated areas may be false positives, and the lack of colored pixels over vegetated areas does not necessarily mean no damage. The DPM was created by the NASA-JPL/Caltech ARIA team, and the ALOS-2 data were provided by JAXA. The Earth Observatory of Singapore coordinated with the Sentinel Asia to timely task the ALOS-2 satellite. The algorithm development was carried out at JPL under a contract with NASA. For more information about ARIA, visit: **More map details and files:**

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uav imagery by Digital Mapper Indonesia, acquired 2025-12-06 to 2025-12-07, 8.3 cm per pixel, published on OpenAerialMap.

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Damage assessment of Tawaeli area in Central Sulawesi

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.

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