AndreaBozzo/ceres-open-data-index huggingface dataset:
Percentage of buildings damaged in the city of Aleppo

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. Based on this analysis and in the map extent, in 19 neighborhoods the number of damaged buildings is more than 40%. The most damaged is Al Aqabeh with 65.61% of buildings damaged and the most significant change since UNOSAT’s 2015 analysis is Khalidiyeh, which increased in percentage damage from 4.20% to 55.80%. 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, damage assessment, geodata
Organization: United Nations Satellite Centre (UNOSAT)
Geodata of Damage Assessment of San Vicente, Manabi Province, Ecuador

This map illustrates satellite-detected, potential damaged structures in San Vicente, Manabi Province, Ecuador. The analyzed area is located approximately 120 km south of the 16 April 2016 Muisne earthquake mainshock epicenter. This analysis is done using Pléiades satellite image acquired 19 April 2016 and a WorldView-2 image acquired 02 December 2013. UNITAR-UNOSAT identified 102 potentially damaged structures of which 25 are destroyed, 46 severely damaged, and 31 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 Damage Assessment In Central Gaza Strip - Occupied Palestinian Territory - 12 July 2014

This map illustrates satellite-detected damage and destruction in areas of Nuseirat, Al Burayj, Al Ruwaydah, Nahal Qatif and Al Musadar in Gaza due to ongoing violence in the area. Using a satellite image collected 12 July 2014 by the Pleiades satellite, and compared with a pre-crisis Pleiades image collected 6 July 2014, UNOSAT analysis has identified 41 destroyed structures, 13 severely damaged structures, and 29 moderately damaged structures. In addition, 45 craters in agricultural and non-urbanized areas are also visible as of 12 July 2014. Further analysis will be done as additional imagery is collected. 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 IDP Settlement, M'Poko Airport, Bangui, Central African Republic

This map illustrates satellite-detected IDP shelters and administrative buildings in M'Poko Airport in Bangui, Central African Republic using satellite images acquired on 4 October 2015 and 6 June 2014. As of 6 June 2014 3,254 structures were detected. Imagery from 4 October 2015 shows a decrease in the number of tent shelters present inside of the airport. As of 6 June UNOSAT detected a total of approximately 2,578 tent shelters and 148 camp infrastructure building. Compared to previous UNOSAT analysis the number of shelters has decreased by 19.3%. 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 Shagarab 1 Refugee Camp, Al Qadarif Province, Sudan

This map illustrates satellite-detected structures at the Shagarab 1 refugee camp in al Qadarif Province, Sudan as seen on 09 December 2013 by the WorldView-2 satellite. This camp lies about 70 km South-East of New Halfa and 105 km North-East of Al Qadarif city. UNOSAT analyzed a total of 6,242 structures in the 209 ha of the camp. This is a preliminary analysis and has not yet been validated in the field. Please send ground feedback to UNITAR / UNOSAT.


Tags: geodata, populated places-settlements
Organization: United Nations Satellite Centre (UNOSAT)
Geodata of 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 Demios-2 satellite on 25 July 2016, UNOSAT located 6,563 probable shelters along the Jordanian side of the border, 25 kilometers southwest of the Al Waleed crossing. This is an 17 percent decrease in apparent shelters visible compared to the previous UNOSAT analysis done using an image collected 24 June 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 in Northeastern Gaza Strip - Occupied Palestinian Territory

This map illustrates satellite-detected damage and destruction in the northeastern portion of the Gaza Strip, including areas of Gaza City, Toffah, Shija'ia, and Shaaf, resulting from ongoing violence in the area. Using a satellite image collected 25 July 2014 by the Pleiades satellite, and compared with a pre-crisis Pleiades image collected 6 July 2014, UNOSAT analysis has identified 700 destroyed structures, 316 severely damaged structures, and 102 moderately damaged structures. In addition, 404 craters on roads and in agricultural and non-urbanized areas are also visible as of 25 July 2014. Further analysis will be done as additional imagery is collected. 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)
Damage Assessment in Ambae Island, Penama Province, Vanuatu

**UNOSAT code: TC20200403VUT**  This map illustrates potentially damaged structures and buildings in Ambae Island, Penama Province, Vanuatu as detected by satellite image acquired after landfall of the Tropical Cyclone Harold-20 on 6 April 2020. UNITAR-UNOSAT analysis used a WorldView-2 image acquired on 20 April 2020 and Pleiades image acquired on 21 April 2020 as post event images, Within the Island extent, UNITAR-UNOSAT identified in the cloud free zones about 60 potentially damaged structures. Taking into account the pre-building footprints provided by Humanitarian OpenStreetMap, this represents about 1% of the total number of structures within the analyzed cloud free areas.
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 Landcover Classification, Kalobeyei, Turkana County, Kenya

This map illustrates a landcover classification over the Kalobeyei  area, Turkana Province, Kenya as derived from WorldView-2 very high resolution multispectral satellite imagery acquired on 05 March 2015 with a resolution of 1.8m. The classification is divided into 04 main classes: Savana and Sparse Vegetation, Sandy and Alluvial Soils (with little vegetation), Bare Soils and Vegetated/Riparian 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 NE Bangladesh & NE India

This map illustrates satellite-detected surface water extent in the northeastern parts of Bangladesh (Sylhet distric) & India (Assam, Tipura and Mizoram states) using a Sentinel-1 satellite image acquired on the 15 June 2018. The analysis shows an increase of surface waters in Sylhet district (Bangladesh) and Assam state (India). 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)
Sudan - Possible Flood Water & Saturated Soil  over Al Jazeera Area, Al Jazeera State

This map illustrates satellite detected possible flood water & saturated soil over Al Jazeera Area, in Al Jazeera State, extracted from Radarsart-2 imagery (12.5 m) acquired on 18 August 2016. According to satellite derived analysis some areas within Al Jazeera State seem to be flooded. Possible flooded agricultural areas and saturated soils are particularly visible over Eastern Al Jazeera Locality. The exact limit of flood waters is uncertain because of the low spatial resolution of the satellite data used for this analysis. Detected water bodies likely reflect an underestimation of all flood-affected areas within the map extent. 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)
Eaux de surface détectées par satellite en République de Madagascar

**UNOSAT code: FL20200128MDG**  Cette carte illustre les eaux de surface détectées via le capteur VIIRS-NOAA sur le centre et le nord de la république de Madagascar entre le 23 janvier et le 27 Janvier 2020. Dans la zone analysée non couverte par les nuages, environ 850,000 personnes sont exposées ou vivent à proximité des zones inondées qui couvrent 9,475 km2. Les plaines du nord-ouest situées dans les régions de Boeny, Sofia et Alaotra Mangoro semblent être particulièrement impactées par les inondations en cours. Ceci est une analyse préliminaire et n'a pas encore été validée sur le terrain. Ne pas hésiter à envoyer vos commentaires à UNITAR-UNOSAT.

Tags: flooding, geodata
Organization: United Nations Satellite Centre (UNOSAT)
Maria Tropical Cyclone. Damage Assessment in Portsmouth,Saint John Parish, Dominica

This map illustrates potentially damaged structures and buildings in Portsmouth  (Saint John 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 20 September 2017 as post imagery. UNITAR-UNOSAT identified in the analysed area (Portsmouth and surroundings) 782 potentially damaged structures. Taking into account the pre-building footprints provided by Humanitarian OpenStreetMap, this represents 55% of the total number of structures within the cloud free analysed area. The analysis could have been underestimated due to cloud cover. 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 water along Tana River, Galole & Garsen sub counties, TanaRiver county, Kenya

This map illustrates satellite-detected flood water extent along Tana River, Galole and Garsen sub counties, Tana River county, Kenya. The analysis was conducted by analyzing Sentinel-1 imagery acquired on the 4 May 2018. The analysis extent is focused on the river bed of Tana, the surrounding land between the primary road and the limit of the Tana River boundary, specifically where the population is concentrated. Within the analysis extent, around 22,700 ha of land appears to be inundated and more than 21,600 people are living inside this flood water extent. 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 Domiz Refugee Camp,  Duhok Governorate, Iraq

This map illustrates satellite-detected shelters and other buildings at the Domiz refugee camp in Duhok Governorate, Iraq. As of 25 December 2013 a total of 9,367 standard shelters were detected, 990 improvised structures likely being used for shelter and other purposes, and 592 infrastructure and support buildings.  Domiz refugee camp is encircled by a fence that surrounds the perimeter of the camp and delineates the 149.76 hectares of the camp area. Areas that were in preparation of the ground for new construction as 21 July 2013, as 25 December 2013 contain a total of 584 new shelters (estimated). New expansion areas are also visible in the image as of 25 December 2013, indicating preparations are underway to accommodate increased numbers of refugees in the near future. This is a preliminary analysis and has not yet been validated in the field; structure locations subject to a spatial error margin of +/- three meters. 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 18 January 2020 over Konarak District in Sistan Va Baluchestan Province of Iran

**UNOSAT code: FL20200117IRN**  This map illustrates satellite-detected water surface in Konarak District in Sistan Va Baluchestan Province of Iran as observed from Sentinel-2 imagery acquired on 18 January 2020. Within the analysed extent of about 590 km2, a total about 55 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)
Cuba - Damage Assessment in Baracoa town, Guantanamo province

This map illustrates potential satellite-detected damaged structures in Baracoa town,  in Guantanamo Province, Cuba. The UNITAR-UNOSAT analysis used a Pleiades satellite image, acquired on the 11 October 2016, and identified 3,147 damaged structures inside the town of Baracoa.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)
Haiti - Damage Assessment Overview of Dame Marie and Anse d'Hainault Areas, Grande Anse & Sud Departments

This map illustrates potentially damaged satellite-detected areas, related damage density and the identified road obstacles in the southwestern part of Haiti in Grande Anse and Sud departments, Haiti. The UNITAR-UNOSAT analysis used a Pleiades satellite image acquired on the 12 October 2016. The UNITAR-UNOSAT analysis combined with Copernicus analysis, identified 9,173 potentially damaged structures within this map extent. Additionally, 123 road obstacles and 255 population gathering sites within this area were identified in the analysis. Please note that some areas were cloud covered and could not be analysed. 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 water extent as of 12 July 2020 over Province 1 and 2 of Nepal

**UNOSAT code: FL20200708NPL**  This map illustrates satellite-detected surface waters in Province 1 and 2 of Nepal as observed from a Radarsat-2  image acquired on 12 July 2020 due to the current monsoon rains. Within the analyzed area of about 3,000 km2, a total of about 475 km2 of lands 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 radar images may underestimate the presence of standing waters in built-up areas due to backscattering properties of the radar signal.

Tags: flooding, geodata
Organization: United Nations Satellite Centre (UNOSAT)
Geodata of Damage Assessment of Salinas and La Libertad Areas, Santa Elena Province, Ecuador

This map illustrates satellite-detected potential damaged structures in Salinas/La Libertad areas in Santa Elena Province, Ecuador, located at approximately 300 km south of the 16 April 2016 Muisne earthquake mainshock epicenter. Using a Pléiades satellite image acquired the 18 April 2016 and a WorldView-2 image acquired the 26 December 2015, UNITAR - UNOSAT identified 33 potentially damaged structures of which 1 is destroyed, 5 severely damaged, and 27 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)
Satellite Detected Surface Waters Extent in Phu Yen Province

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.

Tags: flooding, geodata
Organization: United Nations Satellite Centre (UNOSAT)
Geodata of Damage Assesment in the City of Malakal, Upper Nile State, South Sudan

This map illustrates satellite-detected areas of destruction in the town of Malakal as seen by the WorldView-2 satellite on 18 January 2014. UNOSAT identified a total of 515 destroyed residential and related structures and a total of 58 warehouse or commercial structures were identified throughout the area analyzed, with the heaviest damage in the downtown area and along primary roads bordering the town. In addition, multiple indications of looting are evident in the warehouse area and in residential areas along the southeast edge of town. 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 water over Dadaab Sub County, Garissa County

This map illustrates satellite-detected flood water extent over Dadaab & Lagdera Sub Counties, Garissa County, Kenya. The analysis was conducted analyzing Sentinel-1 image acquired on the 4 May 2018. Within the analysis extent, ~ 43,300 ha of land appear to be inundated and around 23,000 people are living inside this flood water extent. Within the analysis extent, around 23,300 ha of inundated land are located inside Dabaad Sub County, potentially affecting 18,200 people. Several refugee camps, specially the ones located inside Dadaab Sub County, seem to be affected by the floods, being Ifo 2 Refugee Camp the most affected one. 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)
Shelters and people gathering sites in Sarpol-e-Zahab, Kermanshah, Iran

Satellite Data (1): Pleiades
Imagery Dates: 16 November 2017
Resolution: 50 cm
Copyright: CNES 2017, distribution AIRBUS Defense and Space
Source: Airbus Defense and Space
Satellite Data (2): Resurs-P
Imagery Dates: 14 November 2017
Resolution:1m
Copyright: Roscosmos
Source: Roscosomos
Baseline Data: GADM, OpenStreetMap 
Analysis :UNITAR - UNOSAT/Iranian Space Agency 
Production: UNITAR - UNOSAT





Tags: earthquake-tsunami, geodata
Organization: United Nations Satellite Centre (UNOSAT)
Geodata of Landslide induced dam over Tonzang Township, Chin Division, Myanmar

This map illustrates satellite-detected waters over Tonzang township, Chin Division, Myanmar. UNITAR-UNOSAT analyzed imagery collected by the WorldView-2 satellite on 17 October 2015 to assess the status of a landslide induced dam in Tonzang township. Imagery shows that there has been an increase in the satellite detected waters in the area and a total of 54 hectares are covered by water as of 17 October 2015. This means an increase of 59% since last UNOSAT analysis with imagery from 16 September 2015 when 34 hectares of land were covered by water. The increase on the satellite detected waters might have been slightly overestimated as extensive cloud cover in the area as of 16 September prevented UNOSAT from analyzing certain areas of the landslide. This is a preliminary 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 water & building damage assessment over  Belet Weyne Town, Somalia

This map illustrates satellite-detected flood water extent and potentially damaged buildings within the town of Belet Weyne in Belet Weyne District,Hiiran Region, Somalia. The analysis was conducted analyzing GeoEye-1 & WorldView-3 images acquired on the 30 April & 1 May 2018. As observed from the satellite image, the town of Belet Weyne is completely affected by the floods. Within the extension of the town, 66% of the buildings are located inside areas totally inundated and 34% inside areas partially inundated. Building footprints were generated by Humanitarian Open Street Map using an image from 2015, so the number of buildings affected might have been underestimated. 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)
Satellite detected waters extents, as of 17 November 2019 over Basse-Kotto Prefecture of Central African Republic

**UNOSAT code: FL20191028CAF**  This map illustrates satellite-detected surface water in Basse-Kotto Prefecture of Central African Republic as observed from Sentinel-1 imagery acquired on 17 November 2019. Within the analysed extent of about 425 km2, a total about 2 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)