Viet Nam GIS data

**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.

Open and free data for assessing the human presence on the planet. The Global Human Settlement Layer (GHSL) project produces global spatial information, evidence-based analytics, and knowledge describing the human presence on the planet. The GHSL relies on the design and implementation of spatial data processing technologies that allow automatic data analytics and information extraction from large amounts of heterogeneous geospatial data including global, fine-scale satellite image data streams, census data, and crowd sourced or volunteered geographic information sources. The JRC, together with the Directorate-General for Regional and Urban Policy (DG REGIO) and Directorate-General for Defence Industry and Space (DG DEFIS) are working towards a regular and operational monitoring of global built-up and population based on the processing of Sentinel Earth Observation data produced by European Copernicus space program. In addition, the EU Agency for the Space Programme (EUSPA) undertakes activities related to user uptake of data, information and services.

**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.

The dataset consists of consolidated history of tropical storm paths over Viet Nam from 1980-2023. NOAA's International Best Track Archive for Climate Stewardship (IBTrACS) data, accessed on 20 October 2023: https://www.ncei.noaa.gov/products/international-best-track-archive?name=rsmc-data

**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.

This dataset contains administrative polygons grouped by country (admin-0) with the following subdivisions according to Who's On First placetypes: - macroregion (admin-1 including region) - region (admin-2 including state, province, department, governorate) - macrocounty (admin-3 including arrondissement) - county (admin-4 including prefecture, sub-prefecture, regency, canton, commune) - localadmin (admin-5 including municipality, local government area, unitary authority, commune, suburb) The dataset also contains human settlement points and polygons for: - localities (city, town, and village) - neighbourhoods (borough, macrohood, neighbourhood, microhood) The dataset covers activities carried out by Who's On First (WOF) since 2015. Global administrative boundaries and human settlements are aggregated and standardized from hundreds of sources and available with an open CC-BY license. Who's On First data is updated on an as-need basis for individual places with annual sprints focused on improving specific countries or placetypes. Please refer to the README.md file for complete data source metadata. Refer to our blog post for explanation of field names. Data corrections can be proposed using Write Field, an web app for making quick data edits. You’ll need a Github.com account to login and propose edits, which are then reviewed by the Who's On First community using the Github pull request process. Approved changes are available for download within 24-hours. Please contact WOF admin about bulk edits.

**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 extent and evolution in Central and Eastern Quang Nam Province, Vietnam, as observed from the Sentinel-1 images acquired on 07 November 2016 and 01 December 2016. Within the analysed zones representing 75% of the total province area, an increase of surface waters extent was observed between the 07 November 2016 and 01 December 2016. ~26,200 ha of surface water were observed the 07 November 2016 and reached ~39,000 ha the 01 December 2016. All over the analysed area, it corresponds to an evolution of about 50 % : Thang Binh District (+5,300 ha), Nui Thanh District (+2,800 ha), Tam Ky Township (+1,530 ha) and Phu Ninh District (+1,140 ha). 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 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 extent and evolution in Binh Dinh Province, Vietnam, as observed from the Sentinel-1 images acquired on 07 November 2016 and 01 December 2016. Within the analysed zone, an increase of surface waters extent was observed between the 07 November 2016 and 01 December 2016. ~26,000 ha of surface water were observed the 07 November 2016 and reached ~49,400 ha the 01 December 2016. All over the analysed area, it corresponds to an evolution of about 90 % : An Nhon District (+5,950 ha), Tuy Phuoc District (+3,900 ha), Phu Cat District (+3,500 ha), Tay Son District (+3,200 ha), Phu My District (+3,000 ha) and Hoai An District (+2,000 ha). 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 and evolution in north of Quang Binh Province, Vietnam, as observed from the Sentinel-1 images acquired on 12 and 24 October 2016. Within the analysed area, an increase of surface waters extent was observed from the 24 October 2016 image: ~4,400 ha of surface water were observed the 12 October 2016 and reached ~6,400 ha the 24 October 2016. All over the analysed zone, it corresponds to an evolution of about 45%. As example, in Tien Lang lake and dam an increase of water surface of 77 ha was observed corresponding to an evolution of ~70% by comparison to the water surface detected on 12 October 2016. 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 and evolution in Phu Yen Province, Vietnam, as observed from the Sentinel-1 images acquired on 07 November 2016 and 01 December 2016. Within the analysed zone, representing ~85% of the total province area, an increase of surface waters extent was observed between the 07 November 2016 and 01 December 2016. ~19,200 ha of surface water were observed the 07 November 2016 and reached ~26,400 ha the 01 December 2016. All over the analysed area, it corresponds to an evolution of about 37 % : Tuy Hoa District (+3,320 ha), Dông Hòa District (+2,000 ha), Phu Hòa District (+1,460 ha) and Tuy An District (+1,340 ha). 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 waters extent and evolution in Ha Tinh Province, Vietnam, as observed from the Sentinel-1 images acquired on 12 and 24 October 2016. An increase of surface waters extent was observed from the 24 October 2016 image: ~26,400 ha of surface water were observed the 12 October 2016 and reached ~30,700 ha the 24 October 2016. All over the analysed zone, it corresponds to an evolution of about 16%. More specifically, in Tri River (Song Tri) lake and dam an increase of 177 ha was observed. For Ke Go Lake and dam, an evolution of 30% of the total surface water was observed in between the 12 October and the 24 October 2016. 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 and evolution in Quang Ngai Province, Vietnam, as observed from the Sentinel-1 images acquired on 07 November 2016 and 01 December 2016. Within the analysed area, an increase of surface waters extent was observed from the 01 December 2016 image: ~12,300 ha of surface water were observed the 07 November 2016 and reached ~33,000 ha the 01 December 2016. All over the Province, it corresponds to an evolution of about 170% : Binh Son District (+4,115 ha), Mô Dúc District (+3,654 ha), Dúc Phô District (+3,279 ha), Son tinh District (+2,850 ha) and Tu Nghia District (+2,736 ha). 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 and evolution in Thua Thien Hue Province, Vietnam, as observed from the Sentinel-1 images acquired on 06 December 2016 and 18 December 2016. Within the province area, an increase of surface waters extent was observed between the 06 and the 18 December 2016. ~38,400 ha of surface water were observed the 06 December 2016 and reached ~50,850 ha the 18 December 2016. All over the province area, it corresponds to an evolution of about 32%. This evolution was particularly observed in Phong Diên District (+6,100 ha) and Quang Diên District (+1,780 ha). 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 southern part of Vietnam, as observed from the Sentinel-1 images acquired on 07 November 2017, following the landfall of tropical cyclone DAMREY-17 ON 05 November 2017. In the analyzed area, 700,000 ha of lands, mainly agricultural and paddy fields are likely flooded. 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 Long An province and in the southern part of Cambodia, 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. In addition, using WorldPop data, we can estimate that ~200,000 people are living within or close to flooded zones in the province of Long An. 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.