Landslide impact analysis in western part of Lembá district, São Tomé province, São Tomé and Príncipe as of 23 Jan 2022
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✦ Suggested by OrionAI**UNOSAT code: FL20220119STP** This map illustrates satellite-detected landslides/mudflow in Neves town, 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 this analyzed area, about 10 structures appear to be affected, and 63 structures are potentially affected. This is a preliminary analysis and has not yet been validated in the field. Please send ground feedback to United Nations Satellite Centre (UNOSAT)
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**UNOSAT code: FL20250812CPV** This map illustrates satellite-detected mudflow extent in Santo Antao Island, Cabo Verde as observed from Pleiades very high-resolution satellite image acquired on 13 to 16 August 2025. Within the analyzed area of approximately 700 km², about 3 km² of land appears to be affected by flood. Additionally, UNOSAT identified around 460 damaged buildings, two damaged bridges, and approximately 5 km of affected roads. 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: 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: 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).
**UNOSAT code: FL20240426KEN, GDACS ID: 1102561** This map illustrates satellite-detected landslides in Mai Mahiu and Kijabe Towns, Kenya, as observed from a Pléiades image acquired on 1 May 2024 at 11:06 local time (08:06 UTC). Within the analyzed area, about 2 km² of landslide scars with a total length of 10 km were observed. UNITAR-UNOSAT identified 1,338 affected structures, about 10 km of affected roads, 2 damaged bridges, and 1 damaged railway. 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).
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