Search for a Dataset - Humanitarian Data Exchange

Completed buildings By utilization of building

Palestinian Central Bureau of Statistics

300+ Downloads

Time Period of the Dataset [?]: February 03, 2020-February 03, 2020 ... More

This dataset updates: Never

Completed buildings By utilization of building

Building Damaged West Sulawesi Earthquake

UNFPA Indonesia (inactive)

50+ Downloads

Time Period of the Dataset [?]: January 22, 2021-January 22, 2021 ... More

This dataset updates: Never

Building Damaged West Sulawesi Earthquake

SHP

West Sulawesi EQ - Building Damage

UNFPA Indonesia (inactive)

40+ Downloads

Time Period of the Dataset [?]: January 21, 2021-January 21, 2021 ... More

This dataset updates: Never

This data contain of scatter location of building damage that extracted from geotag photos

SHP

Sulawesi Earthquake 2018, Copernicus Building Damage Classification

MapAction

100+ Downloads

Time Period of the Dataset [?]: January 01, 2003-January 01, 2003 ... More

This dataset updates: Never

This point dataset aggregrates Copernicus building damage data derived from post-event satellite imagery into a single dataset. Within the areas analysed, individual buildings are classified as damage/destroyed/none/possibly damaged. Separate datasets show the footprint of the areas analysed, and a hex grid analysis of building counts.

SHP

Destroyed buildings in Maungdaw District, Myanmar

United Nations Satellite Centre (UNOSAT)

20+ Downloads

Time Period of the Dataset [?]: September 22, 2017-September 22, 2017 ... More

This dataset updates: Never

This map illustrates satellite-detected destroyed or otherwise damaged structures in Maungdaw and Buthindaung townships, Maungdaw District, Myanmar, as seen in satellite imagery collected on 16 September 2017. The analysis found a total area of more than 20 square kilometers of destroyed structures within the 2,000 square kilometers analyzed. According to other data on town locations it is likely that more than 160 towns are affected within the area analyzed. Additionally, 144 fires were detected within the area between 25 August and 21 September 2017 by the MODIS and VIIRS sensors, with recent fire detections indicating destruction is likely ongoing. Most of the detected fires are located in the proximity of the affected areas as observed in the imagery collected 16 September. Finally, heavy cloud cover during the period in question, and on 16 September especially, indicates that destruction and fire detections are likely underestimated in this analysis. This is a preliminary analysis and has not yet been validated in the field. Please send ground feedback to UNITAR - UNOSAT.

Geodata of Percentages of Buildings Damaged, Aleppo, Syria

United Nations Satellite Centre (UNOSAT)

10+ Downloads

Time Period of the Dataset [?]: February 18, 2016-February 18, 2016 ... More

This dataset updates: Never

This map illustrates the percentages of buildings damaged in the city of Aleppo, Syrian Arab Republic, as determined by satellite imagery analysis. Using satellite imagery acquired 01 May 2015, 26 April 2015, 23 May 2014, 23 September 2013, and 21 November 2010, UNITAR - UNOSAT identified a total of 12,065 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. This is a preliminary analysis and has not yet been validated in the field. Please send ground feedback to UNITAR - UNOSAT.

SHP

Percentage of buildings damaged in the city of Aleppo

United Nations Satellite Centre (UNOSAT)

40+ Downloads

Time Period of the Dataset [?]: December 19, 2016-December 19, 2016 ... More

This dataset updates: Never

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.

Colombia - Building Damage Assessment in the city of Mocoa

United Nations Satellite Centre (UNOSAT)

20+ Downloads

Time Period of the Dataset [?]: April 12, 2017-April 12, 2017 ... More

This dataset updates: Never

Following a large mudflow that hit the city of Mocoa (Department of Putumayo, Colombia) on 31 March 2017 as a consequence of the heavy rains, the International Charter Space and Major Disasters has been activated upon the request of the National Unit for Disaster Risk Management (UNGRD) / Unidad Nacional para la Gestion del Riesgo de Desastres, IDEAM. In response to this emergency, UNITAR-UNOSAT has carried out satellite based damage analysis to assess (visible) building structural damage caused by mudflows. This map illustrates satellite-detected damaged structures including building damage density in Mocoa city and its surroundings. Analysis has been undertaken by using post satellite imagery acquired by Pleiades and Geoeye-1 satellites on the 7 and 10 April 2017 and pre satellite images acquired by Worldview-2 & 1 satellites on the 21 December 2016 and 26 December 2013. As result of UNOSAT satellite analysis, a total of 1,082 buildings were detected as damaged of which 736 observed as destroyed or washed out by mudflow and 346 observed as severely damaged. Due to the pronounced incident angle and cloud cover of the satellite images, UNITAR-UNOSAT has also used orthophotos collected by Corpoamazonia in order to validate satellite based analysis. Orthophotos and additional baseline data were provided by OSM Humanitarian Mapping Unit and UMAIC (Unidad de Manejo y Analisis de Informacion de Colombia) who is also providing information management coordination support for this event. Kindly note that the number of damaged structures could have been underestimated due to the parameters of the images. This analysis has not yet been validated in the field. Please send ground feedback to UNITAR-UNOSAT.

Satellite detected water & building damage assessment over Belet Weyne Town, Somalia

United Nations Satellite Centre (UNOSAT)

10+ Downloads

Time Period of the Dataset [?]: May 17, 2018-May 17, 2018 ... More

This dataset updates: Never

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.

SHP

Buildings Damage Assessment & Related Density in South of Sanma Province, Vanuatu

United Nations Satellite Centre (UNOSAT)

Time Period of the Dataset [?]: April 16, 2020-April 16, 2020 ... More

This dataset updates: Never

UNOSAT code: TC20200403VUT This map illustrates potentially damaged structures and buildings in south of Sanma Province, Vanuatu as detected by satellite image acquired after landfall of the Tropical Cyclone Harold-20 on 6 April 2020. UNITAR-UNOSAT analysis identified about 5,200 potentially damaged structures in the analysis extent across the south of Sanma province within the cloud free areas. Taking into account the pre-building footprints provided by Humanitarian OpenStreetMap, this represents about 33% of the total number of structures/buildings within the analyzed cloud free areas. Please note that some areas could not be analyzed due to the cloud cover. Total and final estimates by municipality are summarized in the table below. This is a preliminary analysis and has not yet been validated in the field. Please send ground feedback to UNITAR-UNOSAT.

Mariupol Updated Building Damage Assessment Overview Map - Livoberezhnyi and...

United Nations Satellite Centre (UNOSAT)

70+ Downloads

Time Period of the Dataset [?]: June 15, 2022-June 15, 2022 ... More

This dataset updates: Never

UNOSAT code: CE20220223UKR This map illustrates a satellite imagery based damage analysis within an area of interest (AOI) in the residential area of Mariupol City, Ukraine. Based on imagery collected on 7, 8, 12 May 2022 and 14 March 2022, and 21 June 2021, analysts found that 5,647 structures sustained visible damage in the AOI. This represents approximately 32% of the structures. Out of these, 315 are destroyed, 2,132 severely damaged, 3,002 moderately damaged and 194 possibly damaged. Compared to the 14 March 2022 analysis, 5% of previously affected buildings sustained additional damage, and the total damage has increased by 28%, with 4,910 new damaged buildings. While no complete count of buildings for Mariupol is available, an open source dataset, which is visibly incomplete indicates at least 17,568 structures in the area. This analysis is based on structures visibly damaged as of 12, 8, 7 May 2022 and 14 March 2022 as seen in marginally degraded satellite imagery. 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).

Destroyed buildings in Maungdaw and Buthindaung townships, Maungdaw District, Myanmar

United Nations Satellite Centre (UNOSAT)

Time Period of the Dataset [?]: September 27, 2017-September 27, 2017 ... More

This dataset updates: Never

This map illustrates satellite-detected destroyed or otherwise damaged structures in Maungdaw and Buthindaung townships, Maungdaw District, Myanmar. The analysis found a total area of more than 400 thousand square meters of destroyed structures occurring between 16 and 25 September 2017. This represents an increase of approximately 2% since last UNOSAT analysis with imagery collected on 16 September, when more than 20 square kilometers of destroyed structures were identified. Additionally, 122 fires were detected within the area between 16 and 25 September 2017 by the MODIS and VIIRS sensors, with recent fire detections indicating destruction is likely ongoing. Most of the detected fires are located in the proximity of the affected areas as observed in the imagery collected 25 September. Finally, heavy cloud cover during the period in question, and on 16 and 25 September especially, indicates that destruction and fire detections are likely underestimated in this analysis. This is a preliminary analysis and has not yet been validated in the field. Please send ground feedback to UNITAR - UNOSAT.

Potentially Damaged Buildings & Gathering Sites over Gili Islands, Lombok...

United Nations Satellite Centre (UNOSAT)

10+ Downloads

Time Period of the Dataset [?]: August 08, 2018-August 08, 2018 ... More

This dataset updates: Never

This map illustrates satellite-detected potentially damaged buildings and gathering sites over Gili Islands as of 8 August 2018, after the 6.9 earthquake, that stroke Lombok Island on 5 August 2018. The analysis was conducted using a post-event Pleiades satellite image acquired on 8 August 2018. UNITAR-UNOSAT analysis identified minor damage over Gili Islands, 15 potentially damaged buildings, mainly observed in Gili Air and 6 potentially gatherings sites in Gili Trawangan island. Kindly note that Google Earth was used as Pre-event imagery, it might have decreased the confidence level of the analysis. This is a preliminary analysis and has not yet been validated in the field. Please send ground feedback to UNITAR - UNOSAT.

SHP

Buildings Damage Assessment & Related Density North of Sarpol-e-Zahab County, Iran

United Nations Satellite Centre (UNOSAT)

20+ Downloads

Time Period of the Dataset [?]: November 24, 2017-November 24, 2017 ... More

This dataset updates: Never

This map illustrates satellite-detected damaged and potentially damaged buildings and the related density of damage in the areas north of Sarpol-e-Zahab county in Kermanshah province, Iran following the M 7.3 earthquake that struck the area on the 12 November 2017. The analysis was carried out comparing a post-event Pleiades image acquired on the 16 November 2017 with a pre-event WorldView3 image of 24 July 2017. The results indicate damage across several localities and villages in this zone and about 3300 structures were identified as potentially damaged (e.g. 362 in Koeeke Hasan; 148 in Tapamaran and 98 in Jaberi). This is a preliminary analysis and has not yet been validated in the field. Please send ground feedback to UNITAR - UNOSAT.

Update: Destroyed buildings in Maungdaw and Buthindaung townships, Maungdaw...

United Nations Satellite Centre (UNOSAT)

Time Period of the Dataset [?]: October 05, 2017-October 05, 2017 ... More

This dataset updates: Never

This map illustrates satellite-detected destroyed or otherwise damaged structures in Maungdaw and Buthindaung townships, Maungdaw District, Myanmar. The analysis found a total area of more than 160 thousand square meters of destroyed structures occurring between 25 September and 1 October 2017. This represents an increase of approximately 1% since last UNOSAT analysis with imagery collected on 25 September, when more than 20.5 square kilometers of destroyed structures were identified. Additionally, 6 fires were detected within the area between 25 September and 1 October 2017 by the MODIS and VIIRS sensors, with recent fire detections indicating destruction is likely ongoing. Most of the detected fires are located in the proximity of the affected areas as observed in the imagery collected 1 October. Finally, heavy cloud cover and haze during the period in question, indicates that destruction and fire detections are likely underestimated in this analysis. This is a preliminary analysis and has not yet been validated in the field. Please send ground feedback to UNITAR - UNOSAT.

Geodata of Percentages of Buildings Damaged,Tadmur and Al-Miriyah, Homs...

United Nations Satellite Centre (UNOSAT)

10+ Downloads

Time Period of the Dataset [?]: April 20, 2016-April 20, 2016 ... More

This dataset updates: Never

This map illustrates percentages of buildings damaged in the cities of Tadmur and Al-Amiriyah in the Syrian Arab Republic as determined by satellite imagery analysis. Using satellite imagery acquired 30 March 2016, 18 October 2015, 27 August 2015, and 26 June 2015, UNITAR-UNOSAT identified a total of 611 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 cityt. This is a preliminary analysis and has not yet been validated in the field. Please send ground feedback to UNITAR-UNOSAT.

SHP

Buildings Damage Assessment & Related Density in Kadavu Province, Eastern...

United Nations Satellite Centre (UNOSAT)

10+ Downloads

Time Period of the Dataset [?]: April 17, 2020-April 17, 2020 ... More

This dataset updates: Never

UNOSAT code: TC20200408FJI This map illustrates potentially damaged structures, buildings and their related density in Kadavu Province, Eastern Division, Republic of Fiji as detected by satellite images acquired on 12 April 2020. Within the Kadavu Province, UNITAR-UNOSAT identified in the cloud free zones 1,003 potentially damaged structures. Taking into account the pre-building footprints provided by OpenStreetMap, this represents about 22% 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.

Potential affected buildings & impact caused by mudslides in Daraga...

United Nations Satellite Centre (UNOSAT)

Time Period of the Dataset [?]: November 16, 2020-November 16, 2020 ... More

This dataset updates: Never

UNOSAT code: TC20201111PHL This map illustrates satellite-detected mudslide extent in the Historical Cagsawa and surrounding in Daraga Municipality, Albay Province, Bicol Region, Philippines as observed on Pleiades image acquired on 13th of November 2020 at 10:47 Local time. About 80 buildings are identified as damaged and 30 as potentially damaged. Some roads were also identified as potentially damaged. This is a preliminary analysis and has not yet been validated in the field. Please send ground feedback to UNITAR-UNOSAT.

Potential affected buildings & impact caused by landslide and floods in...

United Nations Satellite Centre (UNOSAT)

10+ Downloads

Time Period of the Dataset [?]: July 17, 2018-July 17, 2018 ... More

This dataset updates: Never

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.

SHP

Buildings Damage Assessment & Related Density over Pentecost Island,...

United Nations Satellite Centre (UNOSAT)

Time Period of the Dataset [?]: November 01, 2023-November 01, 2023 ... More

This dataset updates: Never

UNOSAT code TC20231023VUT, GDACS Id: 1001027 This map illustrates potentially damaged, damaged and destroyed structures density in Pentecost Island, Penama Province, Vanuatu as observed from a WorldView-2 imagery acquired on 29 October 2023 at 09:39 local time. Over Penama islands, 1,704 buildings are identified as destroyed, 835 as damaged and 1,779 as potentially damaged. 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).

XLSX

Volcano de Fuego: Estimation of damaged buildings in San Miguel de Los Lotes...

United Nations Satellite Centre (UNOSAT)

10+ Downloads

Time Period of the Dataset [?]: June 07, 2018-June 07, 2018 ... More

This dataset updates: Never

This dataset is part of the data series [?]: UNOSAT - Volcanic Eruption Impact

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.

SHP

Building Damage Assessment in Koshkak village, Zindajan District, Hirat...

United Nations Satellite Centre (UNOSAT)

Time Period of the Dataset [?]: October 19, 2023-October 19, 2023 ... More

This dataset updates: Never

UNOSAT code EQ20231008AFG, GDACS Id: 1394952 This map illustrates destroyed and potentially damaged structures by the M6.3 Hirat earthquake of 15 October 2023 (03:36 UTC) as observed by using a Pléiades NEO very high-resolution satellite image acquired on 16 October 2023 at 06:44 UTC. Within the map extent, UNOSAT identified 491 destroyed structures, 1 potentially damaged structure and 179 temporary shelters. 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).

Assessment of Flooded Buildings in Bandarban, Cox's Bazaar, Chattogram, and...

United Nations Satellite Centre (UNOSAT)

10+ Downloads

Time Period of the Dataset [?]: August 24, 2023-August 24, 2023 ... More

This dataset updates: Never

UNOSAT code FL20230807BGD This map illustrate the number of affected buildings within specific district boundaries of interest in Bandarban, Cox's Bazar, Chattogram, and Rangamati Districts, located in Chattogram Division, Bangladesh as of 12 to August 2023. And using an automated analysis with Artificial Intelligence based methods. Within the analyzed area of about 17,000 km2 and, about 350km2 of lands appear to be flooded. Based on Worldpop population data from 2020, the flood water extent and Microsoft building footprint , ~415,000 people are potentially exposed or living close to flooded areas and about 932 building potentially affected by floods. 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).

XLSX

UNOSAT Gaza Governorate Damage Assessment - Gaza Strip, Occupied Palestinian...

United Nations Satellite Centre (UNOSAT)

200+ Downloads

Time Period of the Dataset [?]: October 18, 2023-October 18, 2023 ... More

This dataset updates: Never

This dataset is part of the data series [?]: UNOSAT - Gaza Strip Escalation of Hostilities

UNOSAT code CE20231007PSE This map illustrates a satellite-detected damage and destruction to buildings within the area of interest in the Gaza Governorate, Gaza Strip, based on an image collected on 10 October 2023 (partially clouded) when compared to an image collected on 10 May 2023. According to satellite imagery analysis, UNOSAT identified 228 destroyed structure, 148 severely damaged structures and 365 moderately damaged structures, for a total of 741 buildings. The two most affected areas appear to be between Southern Remal and As Sabra neighborhoods (inset 1), and on the western outskirt of the Old City, north of At Turukman neighborhood. Among the affected structures, UNOSAT identified one school compound, namely the Omar Bin Abd Alaz school, visibly destroyed (see inset 2). This is a preliminary analysis and has not yet been validated in the field.

Geodatabase

Sudan - Possible Flood Water & Saturated Soil Over Khartoum Area, Khartoum State

United Nations Satellite Centre (UNOSAT)

10+ Downloads

Time Period of the Dataset [?]: August 17, 2016-August 17, 2016 ... More

This dataset updates: Never

This map illustrates satellite-detected possible flood water & saturated soil over Khartoum City in Suda nextracted from SPOT-7 imagery on 15 August 2016 in Khartoum State. UNOSAT analysis shows, an expansion of possible flood water and saturated soil over areas particulary located on right bank of the Blue Nile and White Nile, without causing floods inside build up areas. 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.