Viet Nam water data

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: TC20201028VNM** This map illustrates satellite-detected surface waters in Quang Nam Province of Viet Nam as observed from a Sentinel-1 image acquired on 30 October 2020 at about 05:35 am local time. Within the analyzed area of about 8,000 km2, a total of about 80 km2 of lands appear to be flooded. The water extent appears to have increased of about 50 km2 since 25 October 2020 Based on Worldpop population data and the detected surface waters, about 45,000 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: TC20201028VNM** This map illustrates satellite-detected surface waters in Nghe An Province of Viet Nam as observed from a Radarsat Constellation 1 image acquired on 31 October 2020 at about 17:56 local time. Within the analyzed area of about 8,000 km2, a total of about 400 km2 of lands appear to be flooded. Based on Worldpop population data and the detected surface waters, about 300,000 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: TC20201013VNM** This map illustrates satellite-detected surface waters in Quang Tri Province of Viet Nam as observed from a Sentinel-1 image acquired on 18 October 2020. Within the analyzed area of about 4,500 km2, a total of about 300 km2 of lands appear to be flooded. Based on Worldpop population data and the detected surface waters, about 90,000 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: TC20201013VNM** This map illustrates satellite-detected surface waters in Quang Nam Province of Viet Nam as observed from a Kompsat-5 image acquired on 20 October 2020. Within the analyzed area of about 4,000 km2, a total of about 170 km2 of lands appear to be flooded. The water extent appears to have increased of about 40 km2 since 17 October 2020. Based on Worldpop population data and the detected surface waters, about 90,000 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 FL20221014VNM, GDACS Id: 1101698** This map illustrates satellite-detected surface waters in Binh Dinh, Da Nang City, Phu Yen, Quang Nam, Quang Ngai, Thua Thien Hue Provinces, Viet Nam as observed from a Sentinel-1 images acquired on 15 October 2022 at 17:56 local time. Within the extent of this map of 32,000 km², about 500 km² of lands appear to be flooded. Based on Worldpop population data and the detected surface waters in the map extent, about 300,000 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 United Nations Satellite Centre (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: TC20201013VNM** This map illustrates satellite-detected surface waters in Thua Thien Hue Province of Viet Nam as observed from a Sentinel-1 image acquired on 22 October 2020. Within the analyzed area of about 4,000 km2, a total of about 220 km2 of lands appear to be flooded. The water extent appears to have receded of about 90 km2 since 13 October 2020. Based on Worldpop population data and the detected surface waters, about 70,000 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: TC20201013VNM** This map illustrates satellite-detected surface waters in Quang Ngai Province of Viet Nam as observed from a Sentinel-1 image acquired on 17 October 2020. Within the analyzed area of about 2,000 km2, a total of about 70 km2 of lands appear to be flooded. Based on Worldpop population data and the detected surface waters, about 20,000 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: TC20201013VNM** This map illustrates satellite-detected surface waters in Quang Tri Province of Viet Nam as observed from a Sentinel-1 image acquired on 22 October 2020. Within the analyzed area of about 2,500 km2, a total of about 180 km2 of lands appear to be flooded. The water extent appears to have receded of about 120 km2 since 18 October 2020. Based on Worldpop population data and the detected surface waters, about 45,000 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 map illustrates the satellite-detected surface waters in Quang Nam Province, Vietnam, as observed from the Radarsat-2 image acquired on 07 November 2017, following the landfall of tropical cyclone DAMREY-17 on 05 November 2017. The districts located in the coastal areas have been affected by the floods; especially the ones located in the northern coastal part of the province and more particularly Dien Ban, Duy Xuyen and Thang Binh districts. Even if the province of Quang Nam was not in the passage of the cyclone, ~ 35,000 ha were identified as flooded within the analyzed area (8,700 km2). It represents an increase of about 230% of the surface waters in the analyzed zone. This is a preliminary analysis and has not yet been validated in the field. Please send ground feedback to UNITAR-UNOSAT.

This map illustrates the satellite-detected surface waters in Phu Yen Province, Vietnam, as detected from Sentinel-1 image acquired on 10 November 2017, following the landfall of tropical cyclone DAMREY-17 on 05 November 2017. In the analysed area, about 19,000 ha of lands are likely flooded. It represents an increase of about 100% of the surface waters in this zone. In addition, and according to WorldPop data ~39,000 people are living within the potentially flooded areas. This is a preliminary analysis and has not yet been validated in the field. Please send ground feedback to UNITAR-UNOSAT.

This map illustrates the satellite-detected surface waters in Binh DinhNam Province, Vietnam, as observed from the Sentinel-1 image acquired on 10 November 2017, following the landfall of tropical cyclone DAMREY-17 on 05 November 2017. The districts located in the coastal areas have been affected by the floods; especially the ones located in the southern coastal part of the province and more particularly Phu Cat, An Nhon, Tuy Phuoc and Qui Nhon districts. Around 17,000 ha of lands were identified as flooded within the province of Bihn Dihn. It represents an increase of ~140 % of the surface waters in the analyzed zone. In this analyzed area and according to the WorldPop data, more than 100,000 people are potentially exposed to flood waters. This is a preliminary analysis and has not yet been validated in the field. Please send ground feedback to UNITAR-UNOSAT.

This map illustrates the satellite-detected surface waters extent in the southern provinces of kien Giang, An Giang, Dong Thap & Can tho as observed from the Sentinel-1 SAR images acquired on 16 & 28 August 2018. In the analysed area, an increase of surface waters is observed mainly in agricultural and paddy fields areas. It is likely that flood waters have been systematically underestimated along highly vegetated areas along main river banks and within built-up urban areas because of the special characteristics of the satellite data used. This is a preliminary analysis and has not yet been validated in the field. Please send ground feedback to UNITAR - UNOSAT.

This map illustrates the satellite-detected surface waters extent in Ho Chi Minh City area and surroundings, as observed from the Radarsat-2 SAR image acquired on 18 December 2017. In the analysed area (~3000 km2) about 5,400 ha of lands, mainly agricultural and paddy fields are likely flooded. In addition, using WorldPop data, we can estimate that ~220,000 people are living within flooded areas. It is likely that flood waters have been systematically underestimated along highly vegetated areas along main river banks and within built-up urban areas because of the special characteristics of the satellite data used. This is a preliminary analysis and has not yet been validated in the field. Please send ground feedback to UNITAR - UNOSAT.

This map illustrates the satellite-detected surface water evolution of Dinh Binh Lake, Vinh Thanh District, Binh Dinh Province, Vietnam, as detected by Sentinel-1 images acquired on 26 October 2016 and 07 November 2016. An increase of surface water extent was detected in the 07 November 2016 image, particularly in the upstream part of the lake : ~500 ha of surface water were observed the 26 October 2016 and reached ~930 ha the 07 November 2016 corresponding to an evolution of about 85%. This is a preliminary analysis and has not yet been validated in the field. Please send ground feedback to UNITAR - UNOSAT.

**UNOSAT code: TC20240905VNM, GDACS ID: 1001090** This map illustrates the aggregated floods using Sentinel-1 images acquired on 10 September 2024 at 17:58 local time using an automated analysis with a machine learning method. Within the analysed area of about 3,000 km², a total of about 50 km² of land appears to be affected by flood waters. Based on Worldpop spatial demographic data, about 33,000 people are 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 the United Nations Satellite Centre (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 the backscattering properties of the radar signal.

**UNOSAT code: TC20240905VNM, GDACS ID: 1001090** This map illustrates the aggregated floods using Sentinel-1 images acquired on 13 September 2024 at 05:58 local time. Within the analysed area of about 38,000 km², a total of about 1,300 km² of land appears to be affected by flood waters. Based on Worldpop spatial demographic data, about 900,000 people are 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 the United Nations Satellite Centre (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 the backscattering properties of the radar signal.

**UNOSAT code: TC20240905VNM, GDACS ID: 1001090** Satellite detected water extents in Red River Delta, Viet Nam as of 25 September 2024 This map illustrates the floods using Sentinel-1 images acquired on 25 September 2024 at 05:58 local time. Within the analysed area of about 38,000 km², a total of about 600 km² of land appears to be affected by flood waters. Flood extent appears to have decreased by about 700 km² since 13 September 2024. Based on Worldpop spatial demographic data, about 400,000 people are exposed or living close to flooded areas as of 25 September 2024. 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). Important note: Flood analysis from radar images may underestimate the presence of standing waters in built-up areas and densely vegetated areas due to the backscattering properties of the radar signal.

**UNOSAT code: TC20201013VNM** This map illustrates satellite-detected surface waters in Quang Tri Province of Viet Nam as observed from a Sentinel-1 image acquired on 25 October 2020. Within the analyzed area of about 1,500 km2, a total of about 140 km2 of lands appear to be flooded. The water extent appears to have receded of about 40 km2 since 22 October 2020. Based on Worldpop population data and the detected surface waters, about 30,000 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: TC20201028VNM** This map illustrates satellite-detected surface waters in Ha Tinh Province of Viet Nam as observed from a Sentinel-1 image acquired on 9 November 2020 at 05:51 local time. Within the analyzed area of about 6,000 km2, a total of about 40 km2 of lands appear to be flooded. The water extent appears to have receded of about 540 km2 since 3 November 2020. Based on Worldpop population data and the detected surface waters, about 17,000 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: TC20201013VNM** This map illustrates satellite-detected surface waters in Thua Thien Hue Province of Viet Nam as observed from a Sentinel-1 image acquired on 25 October 2020. Within the analyzed area of about 4,000 km2, a total of about 230 km2 of lands appear to be flooded. The water extent appears to have a static level since 22 October 2020. Based on Worldpop population data and the detected surface waters, about 50,000 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: TC20201028VNM** This map illustrates satellite-detected surface waters in Nghe An Province of Viet Nam as observed from a Sentinel-1 image acquired on 9 November 2020 at 05:51 local time. Within the analyzed area of about 15,000 km2, a total of about 40 km2 of lands appear to be flooded. The water extent appears to have receded of about 360 km2 since 31 October 2020. Based on Worldpop population data and the detected surface waters, about 23,000 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: TC20201028VNM** This map illustrates satellite-detected surface waters in Da Nang City of Viet Nam as observed from a Sentinel-1 image acquired on 30 October 2020 at about 05:35 local time. Within the analyzed area of about 300 km2, a total of about 8 km2 of lands appear to be flooded. Based on Worldpop population data and the detected surface waters, about 4,300 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: TC20201013VNM** This map illustrates satellite-detected surface waters in Quang Binh Province of Viet Nam as observed from a TerraSAR-X image acquired on 18 October 2020. Within the analyzed area of about 5,000 km2, a total of about 420 km2 of lands appear to be flooded. Based on Worldpop population data and the detected surface waters, about 160,000 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: TC20201028VNM** This map illustrates satellite-detected surface waters in Ha Tinh Province of Viet Nam as observed from a Sentinel-1 image acquired on 30 October 2020 at about 18:05 local time. Within the analyzed area of about 5,700 km2, a total of about 500 km2 of lands appear to be flooded. The water extent appears to have increased of about 450 km2 since 24 October 2020. Based on Worldpop population data and the detected surface waters, about 215,000 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: TC20201028VNM** This map illustrates satellite-detected surface waters in Ha Tinh Province of Viet Nam as observed from a SAOCOM-1A image acquired on 3 November 2020 at about 16:52 local time. Within the analyzed area of about 5,800 km2, a total of about 580 km2 of lands appear to be flooded. The water extent appears to have increased of about 80 km2 since 30 October 2020. Based on Worldpop population data and the detected surface waters, about 260,000 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: TC20250826VNM** This map illustrates the satellite detected water extent in Northern part of Viet Nam as observed from Sentinel-1 satellite images acquired on 26 August 2025 at 05:51 local time (22:51 UTC). Within the analyzed area of approximately 74,000 km², about 1,200 km² of land appears to be affected by floodwaters. Based on WorldPop population data and the flood extent, approximately 708,000 people are potentially exposed or living close to the flooded areas. 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). Important note: Flood analysis from radar images may underestimate the presence of standing waters in built-up areas and densely vegetated areas due to the backscattering properties of the radar signal

**UNOSAT code: TC20201013VNM** This map illustrates satellite-detected surface waters in Ha Tinh and Nghe An Provinces of Viet Nam as observed from a Sentinel-1 image acquired on 21 October 2020. Within the analyzed area of about 8,000 km2, a total of about 300 km2 of lands appear to be flooded. In Ha Tinh province, the water extent appears to have receded of about 200 km2 since 18 October 2020. Based on Worldpop population data and the detected surface waters, about 100,000 people are potentially exposed or living close to flooded areas. The potentially exposed population is mainly located in the districts of Cam Xuyen with ~15,000 people, Can Loc with ~15,000 people and Thach Ha with ~15,000 people. 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: TC20201028VNM** This map illustrates satellite-detected surface waters in Thua Thien Hue Province of Viet Nam as observed from a Sentinel-1 image acquired on 10 November 2020 at 05:43 local time. Within the analyzed area of about 5,000 km2, a total of about 200 km2 of lands appear to be flooded. The water extent appears to have increased of about 50 km2 since 4 November 2020. Based on Worldpop population data and the detected surface waters, about 65,000 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: TC20201028VNM** This map illustrates satellite-detected surface waters in Binh Dinh Province of Viet Nam as observed from a Sentinel-1 image acquired on 30 October 2020 at about 05:35 local time. Within the analyzed area of about 6,000 km2, a total of about 70 km2 of lands appear to be flooded. Based on Worldpop population data and the detected surface waters, about 30,000 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: TC20201028VNM** This map illustrates satellite-detected surface waters in Thua Thien Hue Province of Viet Nam as observed from a Sentinel-1 image acquired on 4 November 2020 at about 05:43 local time. Within the analyzed area of about 4,700 km2, a total of about 150 km2 of lands appear to be flooded. The water extent appears to have receded of about 120 km2 since 29 October 2020. Based on Worldpop population data and the detected surface waters, about 40,000 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: TC20201028VNM** This map illustrates satellite-detected surface waters in Quang Ngai Province of Viet Nam as observed from a Sentinel-1 image acquired on 30 October 2020. Within the analyzed area of about 5,000 km2, a total of about 90 km2 of lands appear to be flooded. The water extent appears to have increased of about 80 km2 since 25 October 2020. Based on Worldpop population data and the detected surface waters, about 53,000 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: TC20201013VNM** This map illustrates satellite-detected surface waters in Minh Hoa and Tuyen Hoa district, Quang Binh province of Viet Nam as observed from a Kompsat-5 image acquired on 19 October 2020. Within the analyzed area of about 900 km2, a total of about 30 km2 of lands appear to be flooded. Based on Worldpop population data and the detected surface waters, about 6,500 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: TC20201028VNM** This map illustrates satellite-detected surface waters in Thua Thien Hue Province of Viet Nam as observed from a Sentinel-1 image acquired on 29 October 2020 at about 05:43 local time. Within the analyzed area of about 5,000 km2, a total of about 270 km2 of lands appear to be flooded. The water extent appears to have increased of about 40 km2 since 25 October 2020. Based on Worldpop population data and the detected surface waters, about 100,000 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: TC20201028VNM** This map illustrates satellite-detected surface waters in Quang Tri Province of Viet Nam as observed from a Sentinel-1 image acquired on 29 October 2020 at about 05:43 local time. Within the analyzed area of about 4,600 km2, a total of about 230 km2 of lands appear to be flooded. The water extent appears to have increased of about 90 km2 since 25 October 2020. Based on Worldpop population data and the detected surface waters, about 65,000 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: TC20201028VNM** This map illustrates satellite-detected surface waters in Quang Binh Province of Viet Nam as observed from a Sentinel-1 image acquired on 29 October 2020 at about 05:43 am local time. Within the analyzed area of about 6,000 km2, a total of about 250 km2 of lands appear to be flooded. The water extent appears to have increased of about 40 km2 since 24 October 2020 Based on Worldpop population data and the detected surface waters, about 70,000 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.