AndreaBozzo/ceres-open-data-index huggingface dataset:
Satellite Detected Water over Belet Weyne & Bulo Burto Districts, Hiraan Region, Somalia

This map illustrates satellite-detected flood water extent over Booco and Hagan areas, Hiraan region, Somalia using a Radarsat-2 image acquired on 09 May 2018. Within the extent of the map about 4,000 ha of land appear to be inundated and according to WorldPop data, ~22,000 people, live within the extent of this map about 6,500 within 100 meters distance from the flooded areas which corresponds to about 30% of population in this zone. 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.

Tags: flooding, geodata
Organization: United Nations Satellite Centre (UNOSAT)
Geodata of Update: Landslide in Ab Barek, Badakshan Province, Afghanistan

This map illustrates satellite-detected areas of landslide damage in the village of Ab Barek, Badakshan, Afghanistan. Following heavy rains in the region, a landslide partially buried Ab Barek on 2 May 2014. Using a satellite image acquired 5 May 2014 by the WorldView-2 satellite, UNOSAT delineated the landslide area. In addition, areas of IDPs, relief operations, and water pooling due to the landslide are indicated as of 5 May. The 5 May 2014 image was compared to an image from 7 June 2013 in an attempt to determine how many structures were buried, and a total of 87 such structures were located. However, between 7 June 2013 and the occurrence of the landslide Ab Barek had changed and grown considerably, and thus its possible additional buried structures exist which are not identified in this analysis. This is a preliminary analysis and has not yet been validated in the field. Please send ground feedback to UNITAR / UNOSAT.

Tags: flooding, geodata
Organization: United Nations Satellite Centre (UNOSAT)
Satellite-detected water extents, as of 28 October 2019 over Garsen Sub County, Tana River County of Kenya

**UNOSAT code: FL20191031KEN**  This map illustrates satellite-detected surface water in Garsen Sub County, Tana River County of Kenya as observed from Sentinel-2 imagery acquired on 28 October 2019. Within the analysed extent of about 150 km2, a total about 12 km2 of land appear to be flooded. This is a preliminary analysis and has not yet been validated in the field. Please send ground feedback to UNITAR - UNOSAT.

Tags: flooding, geodata
Organization: United Nations Satellite Centre (UNOSAT)
Damage Assessment: Neighborhoods in Western Benghazi City, Libya

This map illustrates satellite-detected areas of damage in the Al Thama, Al Sabri, Old Benghazi, Al Salmane Al Sharge, and Al Salmane Al Garbe neighborhoods of Benghazi City, Libya. Using satellite imagery acquired 04 and 19 April 2016 as well as 01 August 2015, UNITAR-UNOSAT identified a total of 1,184 potentially damaged structures in these neighborhoods. Approximately 75 of these were destroyed, 198 severely damaged, 426 moderately damaged, and 485 possibly damaged. A slightly higher margin of error is possible in this analysis due to utilization of multiple images and the uncontrolled nature of construction in Benghazi during the analysis timeframe. This is a preliminary analysis & has not yet been validated in the field. Please send ground feedback to UNITAR-UNOSAT.

Tags: complex emergency-conflict-security, geodata
Organization: United Nations Satellite Centre (UNOSAT)
Damage Assessment in Jojutla town, Jojutla Municipality, State of Morelos, Mexico

This map illustrates satellite-detected, potentially damaged structures in the town of Jojutla, Jojutla Municipality, Morelos State, Mexico. The analyzed area is located approximately 82 km west of the main shock epicenter of the 19 September 2017 M7.1 earthquake. UNITAR-UNOSAT identified 1,102 potentially damaged structures. The analysis was performed using a post-event Pleiades satellite image acquired on 03 October 2017 and Bing as pre-event image. This is a preliminary analysis and has not yet been validated in the field. Please send ground feedback to UNITAR - UNOSAT.

Tags: earthquake-tsunami, geodata
Organization: United Nations Satellite Centre (UNOSAT)
Geodata of Inundation Near Sar-E Pol, Sar-E Pol Province, Afghanistan

This map illustrates potential satellite-detected inundated areas and water south of Sar-E Pol city, Afghanistan. UNOSAT analyzed imagery from the KOMPSAT2 satellite collected 05 May 2014 in response to heavy rainfall occurring on 23-24 April 2014. UNOSAT extracted areas of water and inundated soils to indicate likely flood affected lands. This map includes both permanent water bodies, such as streams, and potential flood waters together due to limitations in source data. It is likely that flood waters and inundation have been systematically underestimated along highly vegetated areas and within built-up urban areas because of the special characteristics of the satellite data used. This analysis has not yet been validated in the field. Please send ground feedback to UNITAR /UNOSAT.

Tags: flooding, geodata
Organization: United Nations Satellite Centre (UNOSAT)
Shelter Density Map at Rukban Border crossing, Jordan-Syria Border

This map illustrates shelters in the area of the Rukban border crossing on the Syrian-Jordanian border. Using a satellite image collected by the Pleiades satellite on 02 September 2016, UNOSAT located 8,295 probable shelters along the Jordanian side of the border, 25 kilometers southwest of the Al Waleed crossing. This is an 26 percent increase in apparent shelters visible compared to the previous UNOSAT analysis done using an image collected 25 July 2016. Due to the small size and the irregularity of the shelters it is likely that some shelters may have been missed in this analysis, or some shelters were included erroneously. Due to the scale of this map and the lack of suitable border information at this scale, the border in this map has been excluded. This map is intended for field support and local authorities should be consulted for boundary information. This is a preliminary analysis and has not yet been validated in the field. Please send ground feedback to UNITAR-UNOSAT.

Tags: complex emergency-conflict-security, geodata
Organization: United Nations Satellite Centre (UNOSAT)
Geodata of Damage assessment of Montecristi, Manabi province, Ecuador

This map illustrates satellite-detected potential damaged structures in Chone area in Manabi Province, Ecuador, located at approximately 175 km south west of the 16 April 2016 Muisne earthquake main shock epicentre. Using a Pleiades satellite image acquired the 19 April 2016 and a WorldView-3 image acquired the 27 June 2015, UNITAR - UNOSAT identified 108 potentially damaged structures of which 5 were destroyed, 36 severely damaged, and 67 moderately damaged. This is a preliminary analysis and not yet been validated in the field. Please send ground feedback to UNITAR - UNOSAT.

Tags: earthquake-tsunami, geodata
Organization: United Nations Satellite Centre (UNOSAT)
Damage Assessment in Central West Cuernavaca City, Municipality of Cuernavaca, State of Morelos

This map illustrates satellite-detected, potentially damaged structures in the central western part of the city of Cuernavaca and more specifically in the neighborhoods of Downtown, La Mina 2 and Altavista, Cuernavaca Municipality, Morelos State, Mexico. UNITAR-UNOSAT detected a general moderate damage with a few collapsed structures and identified 1,494 potentially affected structures. The analysis was performed using a post-event WorldView-3 satellite image acquired on 22 September 2017 and a pre-event WorldView-2 satellite image acquired on 13 February 2017. This is a preliminary analysis and has not yet been validated in the field. Please send ground feedback to UNITAR - UNOSAT.

Tags: earthquake-tsunami, geodata
Organization: United Nations Satellite Centre (UNOSAT)
Geodata of Damage Assessment of Portoviejo City, Manabi Province, Ecuador

This map illustrates satellite-detected potential damaged structures in Portoviejo city in Manabi Province, Ecuador. Located at approximately 170 km south of the 16 April 2016 Muisne earthquake mainshock epicenter and using Pleiades and Deimos-2 satellite images acquired the 19 April 2016 and a WorldView-2 image acquired the 26 July 2014, UNITAR - UNOSAT created a damage site density index for affected areas in the city of Portoviejo. City analyses revealed a total of 437 potentially damaged structures of which 87 are destroyed, 83 severely damaged, and 267 moderately damaged. This is a preliminary analysis and not yet been validated in the field. Please send ground feedback to UNITAR - UNOSAT.

Tags: earthquake-tsunami, geodata
Organization: United Nations Satellite Centre (UNOSAT)
Geodata of Flood Waters Over Western Sagaing Division, Myanmar

This map illustrates satellite-detected flood waters in western Sagaing Division in the areas of Homalin, Tamu, Phaungbyin and Mawlaik townships of Myanmar as imaged by the Sentinel-1 satellite on 4 September 2015. Waters along the Chindwin have expanded and inundated lands on either sides of the river bank and as of 4 September 2015 a total of ~111,000 ha of lands were affected.  Total surface area covered with water in the analysed area has increased from a pre-flood level of 0.4% to 2.9 % during the flood period. This is a preliminary analysis and has not yet been validated in the field. Please send ground feedback to UNITAR-UNOSAT.

Tags: flooding, geodata
Organization: United Nations Satellite Centre (UNOSAT)
Potentially Affected Zones by the Mudflow in southeastern Freetown, Sierra Leone

This map illustrates satellite-detected landslides and mudflow that affected Regent area south eastern Freetown using a GeoEye-1 acquired the 15 August 2017 compared with a pre-crisis image acquired the 03 March 2017. UNOSAT extracted areas affected by the landslide and subsequent mudflow and could identify 349 damaged structure and 1.3 km of damaged roads within the analysed area. This analysis has not yet been validated in the field. Please send ground feedback to UNITAR /UNOSAT.

Tags: flooding, geodata
Organization: United Nations Satellite Centre (UNOSAT)
Geodata of Flood Waters Over Ann area, Rakhine State, Myanmar

This map illustrates satellite-detected flood waters over western Rakhine State, Myanmar, in the areas of Ann and south of Myebon townships, as imaged by the ALOS-2 / PALSAR satellite on 12 August 2015. In the analyzed area a total of ~3,800 ha of lands are affected by floods, mainly agricultural and/or paddy fields. The surface covered with water in the analyzed area has increased from a pre-flood level of 3.8% to 4.6% during the flood period. It is likely that flood waters have been systematically underestimated along highly vegetated areas near the 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.

Tags: flooding, geodata
Organization: United Nations Satellite Centre (UNOSAT)
Geodata of Flood Waters Over South Bago Division, Myanmar

This map illustrates satellite-detected flood waters in the South Bago Division of Myanmar, over the Bago, Waw, Thanatpin, Kawa, and Kayan townships. Using satellite imagery acquired 09 August 2015, UNITAR-UNOSAT identified a total of 89,188 hectares of flood affected lands in the analyzed area that were mainly comprised of agricultural and/or paddy fields. The township of Thanatpin  in Pegu district was the worst affected township with 5,822 hectares of flood affected land, followed by Kawa township in Pegu district (4,514 ha). Approximately 30 km of roads are potentially affected by floods in 17 of the 29 analyzed townships. This is a preliminary analysis and has not yet been validated in the field. Please send ground feedback to UNITAR-UNOSAT.

Tags: flooding, geodata
Organization: United Nations Satellite Centre (UNOSAT)
Geodata of Flood Waters Over Khartoum State, Sudan

This map illustrates satellite-detected areas of flood affected land as detected in satellite imagery acquired by the TerraSAR-X satellite on 09 August 2014 in Khartoum State, Sudan. The area surrounding Khartoum City and Umdurman was inundated by floods caused by heavy rains. Areas to the South of Umdurman seem to have been flooded and many other areas including Umdaba and East Nile seem to be affected by varying levels of water and saturated soils. The flooded area over Khartoum city has decreased slightly since the previous analysis using an image from 8 August 2014. 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 characteristics of the satellite data used. This analysis has not yet been validated in the field. Please send ground feedback to UNITAR /UNOSAT.

Tags: flooding, geodata
Organization: United Nations Satellite Centre (UNOSAT)
Satellite detected waters extent, as of 24 March 2019 over Masvingo Province, Zimbabwe

This map illustrates the satellite detected surface waters in Masvingo Province, Zimbabwe, as observed from the Sentinel-1 data imageries acquired on 12 and 24 March 2019. Within the analysis extent, over Manicaland Province, 84,500 ha of surface waters were observed the 12 March 2019. and about of 288,500 ha of surface waters were observed the 24 March 2019. It represents an icrease of 29 %. This is a preliminary analysis and has not yet been validated in the field. Please send ground feedback to UNITAR - UNOSAT.
Satellite data (pre-event) : Sentinel-1 
Imagery date: 12 March 2019 
Resolution: 10 m 
Copyright: Copernicus 2019 / ESA 
Source: ESA 

Satellite data (post-event) : Sentinel-1 
Imagery date: 24 March 2019 
Resolution: 10 m 
Copyright: Copernicus 2019 / ESA 
Source: ESA 

Boundary data: OCHA ROSEA 
Water body & waterway: COD 
Analysis : UNITAR-UNOSAT 
Production: UNITAR - UNOSAT

Tags: cyclones-hurricanes-typhoons, geodata
Organization: United Nations Satellite Centre (UNOSAT)
Satellite Detected Waters in Central Bangladesh

This map illustrates satellite-detected surface water extent in the central part of Bangladesh using a Sentinel-1 satellite image acquired on the 12 August 2017 with a total surface of 4,280,650 ha. In this analyzed area; 1,644,983 ha (38%) of lands are likely affected.  These lands are are mainly cropland irrigated and rainfed areas and estimated to 1,576,351 ha. The population exposure analysis using WorldPop data shows that ~17,000,000 people are potentially affected by floods in the analysed zone: ~8,400,000 are located in Dhaka Division and ~5,750,000 in Rajshahi Division. This is a preliminary analysis and has not yet been validated in the field. Please send ground feedback to UNITAR-UNOSAT.

Tags: flooding, geodata
Organization: United Nations Satellite Centre (UNOSAT)
Satellite-detected flood waters, as of 16 January 2020, over Golmorti, Sistan and Baluchestan Province, I. R. of Iran

**UNOSAT code: FL20200117IRN**  This map illustrates satellite-detected waters in Dalgan County, Sistan and Baluchestan Province, Islamic Republic of Iran, as observed from Sentinel-2 imagery acquired on 16 January 2020. Within the analysed area of 2,130 km2, a total of 647 km2 of land appear to be flooded in Dalgan County. Based on Worldpop population data and the detected surface waters, about 2,500 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.

Tags: flooding, geodata
Organization: United Nations Satellite Centre (UNOSAT)
Satellite detected water extents in Manakara Atsimo district, Vatovavy Fitovinany region, Madagascar as of 24 Feb 2022

**UNOSAT code: TC20220221MDG**  This map illustrates satellite-detected surface waters in Manakara Atsimo district, Vatovavy Fitovinany region, Madagascar as observed from a Sentinel-2 image acquired on 24 February 2022 at 10:00 local time.  Within the analyzed cloud free zones of about 3,000 km2, a total of about 200 km2 of lands appear to be flooded. Based on Worldpop population data and the detected surface waters, about 39,000 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).


Tags: cyclones-hurricanes-typhoons, geodata
Organization: United Nations Satellite Centre (UNOSAT)
Potential affected buildings &  impact caused by landslide and floods in Peshghor village in Khenj District, Afghanistan

This map illustrates satellite-detected landslide and flood water extent in Peshghor village and surrounding areas in Khenj District, Panjshir Province, Afghanistan as seen on Sentinel-2 satellite imagery, 10 m resolution, collected on 13 July 2018, one day after the disaster happened. The landslides and floodwaters hit villages downstream because of the break-up of the natural banks of the dam. As a result, Peshghor and surrounding villages have been cut off and damages have been reported on structures and buildings. Within the current map extent Saricha primary road is potentially affected by the landslides and the overflow of Panjshir River.  Around 198 buildings are located within areas affected by the landslide and 9 within areas affected by the floods. Due to the resolution of the satellite imagery, the extent of landslide and floodwaters may be underestimated and as a consequence, the number of buildings potentially affected. This is a preliminary analysis and has not yet been validated in the field. Please send ground feedback to UNITAR - UNOSAT.

Tags: geodata, natural disasters
Organization: United Nations Satellite Centre (UNOSAT)
Satellite detected water over Dinsoor, Baardheere, Bu'aale & Saakow district, Gedo, Middle Juba & Bay Region, Somalia

This map illustrates satellite-detected flood water extent over the district of Baardheere (Gedo Region),  the districts of Saakow and Bu'aale (Middle Juba region) and the district of Diinsor (Bay region), Somalia using a Radarsat-2 image acquired on 09 May 2018. As observed from the satellite radar image, a total of 61,000 ha of land were inundated in the area of interest. By using WordPop data, we estimate that at least 100,000 people are potentially affected or living close to the potentially flood area. This correspond about 35% of the population living in the area of interest. 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.

Tags: geodata
Organization: United Nations Satellite Centre (UNOSAT)
Damage assessment in the  Southern part of New Mirpur, Azad Jammu and Kashmir, Pakistan, as of 02 October 2019

**UNOSAT code: EQ20190924PAK**  This map illustrates satellite based structure damage assessment in the southern part of New Mirpur City, Azad Kashmir, Pakistan that was affected by the 5.6 magnitude Mirpur earthquake of the 24th of September 2019 with an epicenter SE of New Mipur City. UNITAR-UNOSAT has identified within the extent of this map 31 potentially damaged structures South of New Mirpur City. This is a preliminary analysis and has not yet been validated in the field. Please send ground feedback to UNITAR - UNOSAT.

Tags: earthquake-tsunami, geodata
Organization: United Nations Satellite Centre (UNOSAT)
Geodata of Overview Of Flood Waters In Sukkur District, Sindh Province, Pakistan

This map illustrates satellite-detected areas of flood as seen in Sentinel-1 imagery acquired on 11 August 2015 in northern Sindh state, Pakistan. There is significant flooding along the Indus river banks in Ghotki, Sukkur, Shirakpur, Larkana and Khairpur districts. In the analyzed area about 350,000 hectares of land were found to be flooded. 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 analysis has not yet been validated in the field. Please send ground feedback to UNITAR-UNOSAT.

Tags: geodata
Organization: United Nations Satellite Centre (UNOSAT)
Geodata of Minkaman IDP Site, Awerial County, Lakes State, South Sudan

This map illustrates satellite-detected shelters and other buildings at the Minkaman IDP site in Lake State, South Sudan, as seen by WorldView-1 satellite on 8 February and 12 February 2015. UNOSAT analyzed these images and located 12,349 shelters and 611 administrative buildings in the IDP site area. A previous UNOSAT analysis using an image from 24 November 2014 indicated 18,636 IDPs shelters, and thus the updated analysis represents a decrease of approximatively 33% in the number of shelters. Note that IDPs sheltering under trees are not detected by this analysis. This is a preliminary analysis and has not yet been validated in the field. Please send ground feedback to UNITAR / UNOSAT.

Tags: complex emergency-conflict-security, geodata
Organization: United Nations Satellite Centre (UNOSAT)
Satellite detected waters extents, as of 17 November 2019 over Ouaka Prefecture of Central African Republic

**UNOSAT code: FL20191028CAF**  This map illustrates satellite-detected surface water in Ouaka Prefecture of Central African Republic as observed from Sentinel-1 imagery acquired on 17 November 2019. Within the analysed extent of about 1,950 km2, a total about 4 km2 of land appear to be flooded. 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 SAR Sentinel-1 images may significantly underestimate the presence of standing waters in built up and/or densely vegetated areas due to backscattering of the radar signal.


Tags: flooding, geodata
Organization: United Nations Satellite Centre (UNOSAT)
Geodata of Flood Waters Near City of Yangon, Myanmar

This map illustrates satellite-detected flood waters south of Myanmar's largest city, Yangon, as imaged by the Radarsat-2 satellite on 9 August 2015. Most of the flood affected lands are agricultural fields in the Yangon river delta. There is no significant overflowing of waters along the river bank. In the area analyzed, ~45,000 hectares of land has been identified as flood affected/inundated land as of 9 August 2015. It is likely that flood waters have been systematically underestimated along highly vegetated areas near the 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.


Tags: flooding, geodata
Organization: United Nations Satellite Centre (UNOSAT)
Satellite detected waters extents, as of 28 August 2019 over Sennar State, Sudan

**UNOSAT code: FL20190815SDN**  This map illustrates satellite-detected surface water in Sennar State, Sudan as observed from SPOT-6 imagery acquired on 28 August 2019. Within the analysed extent of about 700 km2, a total about 23 km2 of lands appear to be flooded as of 28 August 2019. This is a preliminary analysis and has not yet been validated in the field. Please send ground feedback to UNITAR-UNOSAT.

Tags: geodata
Organization: United Nations Satellite Centre (UNOSAT)