Landslide/mudslide Impact in Thame Village, Solukhumbu District, Koshi Province as of 17 August 2024

**UNOSAT code: FL20210630NPL** This map illustrates satellite-detected flash floods and landslides in Melamchi village, Melamchi Municipality, Bagmati province, Nepal as observed using Sentinel-2 satellite imagery acquired on 24 June 2021. Within the analyzed area, approximately 150 structures appear to be potentially affected by the landslides. This is a preliminary analysis and has not yet been validated in the field. Please send ground feedback to United Nations Satellite Centre (UNOSAT).

# EOS-RS Damage Proxy Map: Nepal, Glacial Lake Outburst Floods, 19 Aug 2024, v0.9 The Earth Observatory of Singapore - Remote Sensing Lab (EOS-RS) created this preliminary Damage Proxy Map (DPM) depicting areas that are likely damaged in the vicinity of Thame, Solukhumbu, Nepal following a glacial lake outburst flood on 16 Aug 2024. This map was derived from synthetic aperture radar (SAR) images acquired by the Copernicus Sentinel-1 satellite operated by the European Space Agency (ESA) before (20 Apr 2024 to 7 Aug 2024) and after (19 Aug 2024) the event (16 Aug 2024). The map covers an area indicated by the white polygon. Damage is shown by colored pixels of 30m in size, where yellow to red indicates increasingly significant ground surface change before and after the event. Preliminary validation was conducted using news reports, aerial imagery and videos, and ground-level imagery in selected areas. This map should be used as a guidance to identify damaged areas, and may be less reliable over vegetated or mountainous areas. Scattered pixels over vegetated or mountainous areas may be false positives, and a lack of colored pixels over such areas may not mean no damage. The product contains modified Copernicus Sentinel data (2024), processed by ESA and analyzed by the Earth Observatory of Singapore - Remote Sensing Lab (EOS-RS). **More map details and files:** **More map details and files:** **Legal Disclaimer:** **Credits:** Earth Observatory of Singapore - Remote Sensing Lab (EOS-RS), Contains modified Copernicus Sentinel data (2024)

**UNOSAT code: FL20220119STP** This map illustrates satellite-detected landslides/mudflow in western part of Lembá district, São Tomé province, São Tomé and Príncipe as observed in Pleiades satellite imagery acquired on 23 January 2022 at 10:12 local time. Within the analyzed area, about 5 structures appear to be affected, and 23 structures are potentially affected. 2 road obstacles, 2 affected bridges, and a potentially affected bridge were also identified. This is a preliminary analysis and has not yet been validated in the field. Please send ground feedback to United Nations Satellite Centre (UNOSAT).

**UNOSAT code: FL20220418ZAF** This map illustrates satellite-detected landslides/mudflow in Umdloti village, eThekwini Metropolitan Municipality, KwaZulu-Natal Province, South Africa as observed from a NewSat image acquired on 13 April 2022. Within the analyzed area, 14 buildings appear to be affected and 13 are potentially affected. Affected roads were also identified. This is a preliminary analysis and has not yet been validated in the field. Please send ground feedback to the United Nations Satellite Centre (UNOSAT).

**UNOSAT code LS20230804GEO, GDACS Id: 1102154** This map illustrates satellite-detected landslides/mudflow in Oni District, Racha-Lechkhumi and Kvemo Svaneti Region, Georgia as observed from a Pléiades imagery acquired on 06 August 2023 at 14:30 local time. Within the analyzed area of 9,600 ha, about 220 ha of landslide scars were observed. UNITAR-UNOSAT identified 30 affected structures and 6 potentially affected structures. This is a preliminary analysis and has not yet been validated in the field. Please send ground feedback to United Nations Satellite Centre (UNOSAT).

**UNOSAT code: LS20251118IDN** This map illustrates satellite-detected landslides in Pandanarum Sub-district, Banjarnegara Regency, Jawa Tengah Province, Indonesia as observed from a Sentinel-2 and Chaohu-1images acquired on 18 and 19 November 2025. Within the analysed area of 500 hectares about 30 hectares of landslide scars were observed. UNITAR-UNOSAT identified about 70 damaged buildings and 60 potentially affected buildings. This is a preliminary analysis and has not yet been validated in the field. Please send ground feedback to United Nations Satellite Centre (UNOSAT).