Satellite detected waters in Colon and Yoro departments of Honduras as of 18 November 2020

**UNOSAT code: TC20201116HND** This map illustrates satellite-detected surface waters in Cortes, Atlantida, and Yoro departments of Honduras as observed from a Sentinel-1 image acquired on 23 November 2020 at 05:45 Local time. Within the analyzed area of about 3,500 km2, a total of about 170 km2 of lands appear to be flooded. Based on Worldpop population data and the detected surface waters, about 35,000 people are potentially exposed or living close to flooded areas. This is a preliminary analysis and has not yet been validated in the field. Please send ground feedback to UNITAR-UNOSAT. Important Note: Flood analysis from radar images may underestimate the presence of standing waters in built-up areas and densely vegetated areas due to backscattering properties of the radar signal.

**UNOSAT code: TC20201116HND** This map illustrates satellite-detected surface waters in Colon and Yoro Departments of Honduras as observed from a Sentinel-1 image acquired on 18 November 2020 at 18:06 Local time. Within the analyzed area of about 5,200 km2, a total of about 220 km2 of lands appear to be flooded. Based on Worldpop population data and the detected surface waters, about 82,000 people are potentially exposed or living close to flooded areas. This is a preliminary analysis and has not yet been validated in the field. Please send ground feedback to UNITAR-UNOSAT. Important Note: Flood analysis from radar images may underestimate the presence of standing waters in built-up areas and densely vegetated areas due to backscattering properties of the radar signal.

This dataset contains waterways mapped in OpenStreetMap as part of the LATAM Regional Mapatón 2026 in "Valle de Sula" in Honduras. The data were generated by volunteers participating in the regional mapping campaign conducted from 13 June to 31 July 2026. The mapping focused on priority areas identified according to disaster risk exposure and vulnerability. The resulting open geospatial data can support disaster preparedness, risk analysis, local planning and climate change adaptation

Water features across the area: rivers, streams, canals, lakes, ponds, and water bodies tagged with `waterway`, `water`, or `natural=water`. Useful for flood-risk modelling, watershed analysis, and environmental basemap context. 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: waterway, water, natural - Part of the country exports on HDX by HOT

**UNOSAT code: TC20201116HND** This map illustrates satellite-detected surface waters in Olancho Department of Honduras as observed from a Sentinel-1 image acquired on 18 November 2020 at 05:37 Local time. Within the analyzed area of about 4,400 km2, a total of about 32 km2 of lands appear to be flooded. Based on Worldpop population data and the detected surface waters, about 900 people are potentially exposed or living close to flooded areas. This is a preliminary analysis and has not yet been validated in the field. Please send ground feedback to UNITAR-UNOSAT. Important Note: Flood analysis from radar images may underestimate the presence of standing waters in built-up areas and densely vegetated areas due to backscattering properties of the radar signal.

**UNOSAT code: TC20201116HND** This map illustrates satellite-detected surface waters in Atlantida and Yoro Departments of Honduras as observed from a Sentinel-1 image acquired on 18 November 2020 at 05:37 Local time. Within the analyzed area of about 3,000 km2, a total of about 40 km2 of lands appear to be flooded. Based on Worldpop population data and the detected surface waters, about 1,200 people are potentially exposed or living close to flooded areas. This is a preliminary analysis and has not yet been validated in the field. Please send ground feedback to UNITAR-UNOSAT. Important Note: Flood analysis from radar images may underestimate the presence of standing waters in built-up areas and densely vegetated areas due to backscattering properties of the radar signal.