AndreaBozzo/ceres-open-data-index huggingface dataset:
Hurricane Matthew Preliminary Satellite Based Damage Assessment Report: Guantanamo Province, Cuba

This report describes preliminary building damage analysis carried out by UNITAR-UNOSAT covering the towns and its surrounding areas over Baracoa, Maisi, Imias, and Cajobabo. Building damage analysis was conducted with the post-disaster satellite images (Pleiades acquired on 7/10/2016, 10/10/2016, and 11/10/2016).

Tags: cyclones-hurricanes-typhoons, geodata
Organization: United Nations Satellite Centre (UNOSAT)
Geodata of Update: Flood Water over Tokwe Mukorsi Dam, Masvingo Province, Zimbabwe

This map illustrates satellite-detected water bodies at the Tokwe Mukorsi Dam, Masvingo Province, Zimbabwe, as imaged by TerraSAR-X on 18 February 2014. The flooded area above the dam has decreased slightly since the previous analysis using an image from 11 February 2014 and currently encompasses about 2,278 ha. It is likely that flood waters have been systematically underestimated along highly vegetated areas along main river banks 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)
Cuba - Damage Assessment in Cajobabo and surrounding area

This map illustrates potential satellite-detected structures in Cajobabo town and the surrounding area in Guantanamo Province, Cuba. The UNITAR-UNOSAT analysis used a Pleiades satellite image, acquired on the 7 of October, 2016. The analysis identified 450 damaged structures within the map extent of which 211 were identified inside the town of Cajobabo. This is a preliminary analysis and has not yet been validated in the field. Please send ground feedback to UNITAR - UNOSAT.

Tags: cyclones-hurricanes-typhoons, geodata
Organization: United Nations Satellite Centre (UNOSAT)
Satellite-detected flood waters over Mobayi-Mbongo, Nord-Ubangi Province, Democratic Republic of the Congo

**UNOSAT code: FL20191118COD**  This map illustrates satellite-detected flooded waters along the Ubangui River over Mobayi-Mbongo,Mobayi-Mbongo Territory, Nord-Ubangi Province in Democratic Republic of the Congo as observed from SPOT 7  imagery acquired on 16 November 2019. UNITAR-UNOSAT has identified about 60 buildings/houses likely surrounded by waters. 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 12 November 2019, over Zongo, Democratic Republic of the Congo

**UNOSAT code: FL20191118COD**  This map illustrates satellite-detected floodedwaters along the Ubangui River over Zongo, Libenge Territory, Sud-Ubangi Territory in Democratic Republic of the Congo as observed from GeoEye-1 imagery acquired on 12 November 2019. UNITAR-UNOSAT has identified 58 ha of potentially flood waters north-west of Zongo. 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 5 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 5 November 2019. Within the analysed extent of about 2,000 km2, a total about 10 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 with Sentinel-1 imagery may notably underestimate the presence of standing water in built up areas due to backscattering of the radar signal.

Tags: flooding, geodata
Organization: United Nations Satellite Centre (UNOSAT)
Satellite dected waters extents, as of 13 February 2020 over the Republic of Madagascar

**UNOSAT code: FL20200128MDG**  This maps illustrates satellite-detected water via VIIRS-NOAA on the center and the northern part of the Republic of Madagascar between the 09 and the 13 February 2020. Within the analysed extent not covered by clouds, a total of about 9,116 km2 appear to be flooded, of which about 2,098 km2, 1,366 km2 and 834 km2 in Boeny, Melaky and Alaotra-Mangoro region respectively. Based on Worldpop population data and the detected surface waters, about 1,300,000 people are potentially exposed or living close to flooded areas. In Boeny, Melaky and Alaotra-Mangoro regions, respectively 170,000;  35,000 and 80,000 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.

Tags: flooding, geodata
Organization: United Nations Satellite Centre (UNOSAT)
Damage assessment in the Southeastern 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 Southeastern 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 121 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)
Satellite detected waters extents, as of 11 September 2019 over Khammouan and Savannakhet Province of Lao PDR

**UNOSAT code: FL20190905LAO**  This map illustrates satellite-detected surface water in Khammouan and Savannakhet Province of Lao PDR as observed from Sentinel-1 imagery acquired on 11 September 2019. Within the analysed extent of about 8,300 km2, a total about 332 km2 of land appear to be flooded as of 11 September 2019. 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 Sentinel-1 imagery acquired on 11 September 2019 may seriously underestimate presence of standing flood water in built up areas due to backscattering of the radar signal

Tags: geodata
Organization: United Nations Satellite Centre (UNOSAT)
Satellite dected waters extents, as of 02 February 2020 over the Republic of Madagascar

**UNOSAT code: FL20200128MDG**  This maps illustrates satellite-detected water via VIIRS-NOAA on the center and the northern part of the Republic of Madagascar between the 29 January and the 02 February 2020. Within the analysed extent not covered by clouds, a total of about 9,718 km2 appear to be flooded, of which about 2,309 km2 and 851 km2 in Boeny and Alaotra-Mangoro region respectively. Based on Worldpop population data and the detected surface waters, about 1,400,000 people are potentially exposed or living close to flooded areas. In Boeny and Alaotra-Mangoro regions, respectively 144,000 and 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.

Tags: flooding, geodata
Organization: United Nations Satellite Centre (UNOSAT)
Geodata of Flood Waters Over Central Sagaing Region, Myanmar

This map illustrates satellite-detected flood waters in the central part of Sagaing region in the areas of Shwebo, Wetlet and Khin-U townships of Myanmar as imaged by the Sentinel-1 satellite on 11 August 2015. Waters along the Mu River have expanded and inundated lands on either sides of the river bank. Floods affected lands increased on the left bank of the Mu River (downstream). Total surface area covered with water in the analysed area has increased from a pre-flood level of 1% to 7% during the flood period, and as of 11 August 2015 a total of ~250,000 ha of lands were affected. 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)
Volcano de Fuego: Estimation of damaged buildings in San Miguel de Los Lotes and surrouding area, Guatemala

This map illustrates an estimation of the number of buildings potentially affected by pyroclastic flow detected by Copernicus EMS using a Sentinel-2 satellite image collected on 4 June 2018. UNITAR-UNOSAT estimates 411 buildings / structures within the pyroclastic flow,  ~ 260 of which are located inside the community of San Miguel de Los Lotes. Industrial sites and the resort of La Reunion are also included in the extent of this pyroclastic flow. 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)
Geodata of Flood Waters Over Central Sagaing State, Myanmar

This map illustrates satellite-detected flood waters in the centre of  Sagaiang State in the areas of Kawlin, Kanbalu, Taze and Kyunhla Townships of Myanmar as imaged by the Sentinel-1 satellite on 18 July 2015 and compared with waters imaged by Landsat-8 satellite and acquired 29 April 2015. Heavy rains at the onset of the monsoon season have caused flooding and an expansion of the dam reservoir close to Kanbalu town. Waters extended to about 80% in the area covered by the map and this includes the expansion of the dam reservoir. However the dam reservoir does not seem to be overflowing as of the 18 July 2015. Note also, many of inundated areas are swamps which are regularly flooded in the rainy season and as the river expands. 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 30 October 2019, over Beled Weyne District, Hiraan Region in Somalia

**UNOSAT code: FL20191030SOM**  This map illustrates satellite-detected surface water in Beled Weyne District, Hiraan Region in Somalia analyzed with Sentinel-1
imagery acquired on 30 October 2019. Within the analysed extent of about 2,500 km2, a total of about 155 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 based on 
Sentinel-1 imagery may significantly 
underestimate the presence of standing floodwater in dense built-up areas due to backscattering of the radar signal.

Tags: flooding, geodata
Organization: United Nations Satellite Centre (UNOSAT)
Satellite detected water over  Middle Juba and Lower Juba Region, Somalia

This map illustrates satellite-detected flood water extent in the district of Jilib, Middle Juba, Somalia. The analysis was conducted analyzing Sentinel-1 images acquired on the 1 May 2018. As observed from the satellite imagery, a total of 92,000 ha of land were inundated in the area of interest. The most affected districts are Saakow, with almost 38,000 ha of flooded land and southern Diinsoor, with almost 27,000 ha. At least 20 settlements are potentially located within the flooded area. 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)
Satellite-detected waters extents over Konarak, Sistan and Baluchestan Province, I. R. of Iran

**UNOSAT code: FL20200324IRN**  This map illustrates satellite-detected water surface in Konarak County, Sistan and Baluchestan Province, Islamic Republic of Iran, as observed from Sentinel-2 imagery acquired on 23 March 2020. Within the analysed area of about 1,100 km2, a total of 56 km2 of land appear to be flooded in Konarak County. Based on Worldpop population data and the detected surface waters, about 3,700 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, as of 6 November 2019 over Hiraan, Middle Shabelle and Lower Shabelle Region of Somali

**UNOSAT code: FL20191030SOM**  This map illustrates the extent of surface waters detected over Hiraan, Middle Shabelle and Lower Shabelle Region in Somalia as detect by VIIRS-NOAA satellite between 2 & 6 November 2019. In the analysed area, a total of about 830 km2 are likely flooded and about 74,000 people might be exposed by taking into account WorldPop population estimates. About 10 km of the roads seem to be affected. 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 extent as of 30 July 2018 over Samakkhixay District, Attapeu Province, Lao PDR

This map illustrates the satellite-detected surface waters extent in Samakkhixay district, Attapeu province, as observed from the KOMPSAT-5 imagery acquired on 30 July 2018. Satellite detected water extent analysis was performed by Centro Internazionale In Monitoraggio Ambientale Research (CIMA) & Luxembourg Institute of Science and Technology (LIST). Within the current map extent, a total of 1,617 ha were detected as inundated along the Xe Kong river. Disclaimer: Flood extent maps are derived from high quality satellite data using a scientifically validated retrieval algorithm. No liability concerning the contents or the use thereof is assumed by the producer. The information has limitations due to the quality and resolution of the original data sources, as well as the uncertainties associated with the retrieval algorithm. Please be aware that the thematic accuracy might be lower in urban and forested areas due to inherent limitations of the SAR analysis technique. 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 San Andrés Cholula and San Pedro Cholula, State of Puebla, Mexico

This map illustrates damaged structures detected with different media support (newspapers, government reports, web news) and Digital Globe images captured on September 20 (from the web site https://www.digitalglobe.com/opendata/mexico-city-earthquake/post-event) in San Andrés Cholula and San Pedro Cholula located in Puebla State, Mexico. The analyzed area is located at 60 km of the epicentral zone of the 19 September 2017 M7.1 earthquake. IGG-UNAM identified 39 damaged structures. Please send ground feedback to UNITAR-UNOSAT.

Tags: earthquake-tsunami, geodata
Organization: United Nations Satellite Centre (UNOSAT)
Geodata of Damage Assessment: Neighborhoods in Eastern Benghazi City, Libya

This map illustrates satellite-detected areas of damage in the Bu Attniy North and Bu Attniy South 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 1,701 potentially damaged structures in these neighborhoods. Approximately 573 of these were destroyed, 329 severely damaged, 496 moderately damaged, and 303 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)
Building Damage Assessment in Paikgachha Upazila, Khulna District, Khulna Division, Bangladesh as of 4 June 2024

**UNOSAT code: FL20240502BGD, GDACS ID: 1001064**  This map illustrates potentially damaged structures as observed by using a Pléiades satellite image acquired on 4 June 2024 at 10:31 Local Time. Within the analysis extent, UNOSAT identified 64 damaged structures and 1,484 potentially damaged structures.  
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).

Tags: cyclones-hurricanes-typhoons, geodata
Organization: United Nations Satellite Centre (UNOSAT)
Satellite detected waters extents, as of 16 October 2019 over MayoDanay and Logone-et-Chari Department, Far-North Region

**UNOSAT code: FL20191017CMR**  This map illustrates satellite-detected surface water in Mayo-Danay and Logone-et-Chari Department, Far-North Region of Cameroon as observed from Sentinel-2 imagery acquired on 16 October 2019. Within the analysed extent of about 2,500  km2, a total about 211 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)
Tropical Cyclone Maria. Damage Assessment in Marigot, Saint Andrew Parish, Dominica

This map illustrates potentially damaged structures and buildings in Marigot(Saint Andrew Parish) as detected by satellite image acquired after landfall of the Tropical Cyclone Maria-17 on 19 September 2017. UNITAR-UNOSAT analysis used a Pleiades image acquired on 23 September 2017 as post imagery. UNITAR-UNOSAT identified in the analysed area Marigot (Saint Andrew Parish) 1,345  potentially damaged structures. Taking into account the pre-building footprints provided by Humanitarian OpenStreetMap, this represent about 83 % of the total number of structures within the analysed area. This is a preliminary analysis and has not yet been validated in the field. Please send ground feedback to UNITAR-UNOSAT.

Tags: cyclones-hurricanes-typhoons, geodata
Organization: United Nations Satellite Centre (UNOSAT)
Geodata of Damage Assessment: Neighborhoods in Southern Benghazi City, Libya

This map illustrates satellite-detected areas of damage in the Tabellino, Venice, Beloun, Al Hawary, Bu Hedima, and Al Lethy 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 1,488 potentially damaged structures in these neighborhoods. Approximately 526 of these were destroyed, 283 severely damaged, 357 moderately damaged, and 322 possibly damaged. A slightly higher margin of error is possible in this analysis due to cloud obstruction, 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)
Geodata of Shelters at Hadalat Border Crossing, Jordan-Syria Border

This map illustrates shelters in the area of the Hadalat crossing on the Syrian-Jordanian border. Using a satellite image collected by the Deimos-2 satellite on 13 July 2016, UNOSAT located 2,132 probable shelters. This is a 9% increase in shelters since the previous UNOSAT analysis done using an image collected 14 May 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)
Satellite detected waters extents, as of 10 September 2019 over Champasak province of Lao PDR

**UNOSAT code: FL20190905LAO**  This map illustrates satellite-detected surface water in Champasak province of Lao PDR as observed from Sentinel-1 imagery acquired on 10 September 2019. Within the analysed extent of about 14,400  km2, a total about 53  km2 of land appear to be flooded as of 10 September 2019. 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 Sentinel-1 imagery acquired on 10 September 2019 may seriously underestimate presence of standing flood water in built up areas due to backscattering of the radar signal

Tags: flooding, geodata
Organization: United Nations Satellite Centre (UNOSAT)
Percentage damage in residential area of Aleppo City

This map illustrates the percentage of buildings damaged in the city of Aleppo, Syrian Arabic Republic, as determined by satellite imagery analysis. Using satellite imagery acquired 18 September 2016, 01 May 2015, 26 April 2015, 23 May 2014, 23 September 2013, and 21 November 2010, UNOSAT identified a total of 33,521 damaged structures within the extent of this map. These damaged structures are compared with total numbers of buildings found in a pre-conflict satellite image collected in 2009 to determine the percentage of damaged buildings across the city. Note that this analysis considers only damage in residential areas and excludes industrial areas. 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 in Elegu Town, Amuru District, Uganda

This map illustrates satellite-detected surface water extent in Elegu town and surroundings using a Sentinel-1 satellite image acquired on the 23 August 2017. Within the map extent, surface waters extended of about 12% more particularly south and north-west of Elugu where evidences of floods could be observed. 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 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)
Geodata of Damage Assessment in the City of Bentiu, Unity State, South Sudan

This map illustrates satellite-detected areas of damage in the town of Bentiu, South Sudan, resulting from ongoing violence in the area. Using an image collected 18 January 2014 by the WorldView-1 satellite, UNOSAT identified almost 1,200 destroyed structures in and around the town. Destruction is largely concentrated along the northern edge of the town along the Bahr al-Gazal river bank and primarily affects homes and related structures as well as some commercial buildings. Using pre-conflict building data UNOSAT estimates that about 8% of the structures in Bentiu are destroyed. This is a preliminary analysis and is based on an enhanced rapid analysis methodology. It 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)