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Damage assessment of Old City, Mosul, Ninawa Governorate, Iraq (30 June 2017)

United Nations Satellite Centre (UNOSAT)

40+ Downloads

Time Period of the Dataset [?]: July 06, 2017-July 06, 2017 ... More

This dataset updates: Never

This map illustrates satellite-detected damage in Old City, Mosul, Ninawa Governorate, Iraq. Using satellite imagery acquired 30 June 2017, UNITAR - UNOSAT identified a total of 5,536 affected structures within this part of city. This marks an overall increase of 37% in damage affected structures from the assessment fourteen days prior on 16 June. Approximately 490 of these were destroyed (9% of the total affected buildings), 3,310 severely damaged (60% of the total affected buildings) and 1,736 moderately damaged (31% of the total affected buildings). This marks a 150% increase in destroyed buildings, 0% in moderately damaged buildings and 57% severely damaged buildings from the 16 June assessment. The most heavily impacted area appears to be the Ammu Baqqal neighbourhood (see inset). Due to the densely constructed nature of this part of the city, these values might be underestimated. This is a preliminary analysis and has not yet been validated in the field. Please send ground feedback to UNITAR - UNOSAT.

Damage assessment of Old City, Mosul, Ninawa Governorate, Iraq (16 June 2017)

United Nations Satellite Centre (UNOSAT)

10+ Downloads

Time Period of the Dataset [?]: July 06, 2017-July 06, 2017 ... More

This dataset updates: Never

This map illustrates satellite-detected damage in Old City, Mosul, Ninawa Governorate, Iraq. Using satellite imagery acquired 16 June 2017, UNITAR - UNOSAT identified a total of 4,040 affected structures within this part of city. This marks an overall increase of 56% in damage affected structures from the assessment five days prior on 11 June. Approximately 196 of these were destroyed (5% of the total affected buildings), 2,107 severely damaged (52% of the total affected buildings) and 1,737 moderately damaged (43% of the total affected buildings). This marks a 28% increase in destroyed buildings, 17% in moderately damaged buildings and 121% severely damaged buildings from the 11 June assessment. The most heavily impacted area appears to be the Bab al-Tub neighbourhood (see inset). Due to the densely constructed nature of this part of the city, these values might be underestimated. This is a preliminary analysis and has not yet been validated in the field. Please send ground feedback to UNITAR - UNOSAT.

Damage assessment of Old City, Mosul, Ninawa Governorate, Iraq (18 July 2017)

United Nations Satellite Centre (UNOSAT)

20+ Downloads

Time Period of the Dataset [?]: July 25, 2017-July 25, 2017 ... More

This dataset updates: Never

This map illustrates satellite-detected damage in Old City, Mosul, Ninawa Governorate, Iraq. Using satellite imagery acquired 18 July 2017, UNITAR - UNOSAT identified a total of 6,981 affected structures within this part of city. This marks an overall increase of 26% in damage affected structures from the previous assessment of the 30 June. Approximately 1,202 of these were destroyed (17% of the total affected buildings), 3,982 severely damaged (57% of the total affected buildings) and 1,797 moderately damaged (26% of the total affected buildings). This marks a 145% increase in destroyed buildings, 4% in moderately damaged buildings and 20% severely damaged buildings from the 30 June assessment. The most heavily impacted areas appear to be the Ras al-Kur (see inset) and the Maydan neighbourhoods. Due to the densely constructed nature of this part of the city, these values might be underestimated. This is a preliminary analysis and has not yet been validated in the field. Please send ground feedback to UNITAR - UNOSAT.

Atmeh IDP settlement shelter density in Dana Subdistrict, Harem District,...

United Nations Satellite Centre (UNOSAT)

30+ Downloads

Time Period of the Dataset [?]: November 28, 2017-November 28, 2017 ... More

This dataset updates: Never

This map illustrates density of satellite-detected shelters and other buildings at the Atmeh Internally Displaced Persons settlement in Dana Subdistrict, Harem District, Idlib Governorate, Syria. As of 12 July 2017, a total of 14,569 shelters were detected as well as 217 infrastructure and support buildings within the displayed area. This represents an increase in structures of over 88% since the previous UNOSAT analysis using an image from 22 May 2015, when the number of shelters was 7,684 and the number of infrastructure and support buildings was 171 within the same area. The full UNOSAT analysis detected 45,591 structures over the Dana Subdistrict as of 12 July 2017. This is a preliminary analysis and has not yet been validated in the field. Please send ground feedback to UNITAR-UNOSAT.

Flood impact assessment in Derna City centre, East Province, Libya

United Nations Satellite Centre (UNOSAT)

60+ Downloads

Time Period of the Dataset [?]: September 14, 2023-September 14, 2023 ... More

This dataset updates: Never

UNOSAT code FL20230912LBY, GDACS Id: 1102204 This map illustrates satellite-detected flood extent in the centre of Derna (Libya) as observed from a Pléiades imagery acquired on 13 September 2023 at 13:39 local time after the passage of the Mediterranean tropical-like cyclone Daniel. Extensive damage and destructions are observed in the city centre and the port area. 2217 buildings were affected by the rushing floodwaters in Derna and 886 in this sector of the city. 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).

Geodata of Neighborhood Damage Percentages, Aleppo, Syria

United Nations Satellite Centre (UNOSAT)

20+ 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. Based on this analysis, in 12 neighborhoods the number of damaged buildings is more than 20%, and the neighborhood with the most damage is al Aqabeh, with 42,53% of buildings damaged. This is a preliminary analysis and has not yet been validated in the field. Please send ground feedback to UNITAR - UNOSAT.

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Hurricane Matthew Preliminary Satellite Based Damage Assessment Report:...

United Nations Satellite Centre (UNOSAT)

10+ Downloads

Time Period of the Dataset [?]: October 21, 2016-October 21, 2016 ... More

This dataset updates: Never

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).

Floods - Southern Malawi - March 2019

Netherlands Red Cross - 510

600+ Downloads

Time Period of the Dataset [?]: March 13, 2019-March 13, 2019 ... More

This dataset updates: Never

For the floods in Southern Malawi of March 2019, we have combined flood extent maps (Sentinel) with HRSL settlement/population grid. This results in a calculation of # of affected buildings/people per district. The results is shared through maps and in a shapefile. 1. Data sources Sentinel 1 Imagery from 7th of March 2017 Sentinel 2 Imagery from 10th/12th/14th of March 2017 HRSL population data Facebook Connectivity Lab and Center for International Earth Science Information Network - CIESIN - Columbia University. 2016. High Resolution Settlement Layer (HRSL). Source imagery for HRSL © 2016 DigitalGlobe. Accessed 9 March 2019. 2. Good to know The flood extent for Nsanje district was separately added on March 14th, to the existing flood extent for the main area from March 12th. 3. Methodology A. Flood Extent Based on SAR The following steps were used to detect flood extent(water/no water). In SNAP tool the raw data downloaded from sci-hub Copernicus was processed to calibrate image for atmospheric correction, spike filter and terrain correction(This is mainly for Sentinel 1 data). Finally defining water no water based on a threshold applied on the corrected image. Defining a threshold is always a challenge in SAR image analysis for flood detection, we collected data from the field to define this threshold. For Sentinel 2 as a first step cloud filter was calculated by applying a combined threshold on Band 2 and Band 10. The cloud mask shown in the figure below didn’t capture shadows of clouds, these were miss interpreted by the flood algorithm as water/flood. To correct this areas with more cloud cover were clipped out with a polygon. To define water no water based on sentinel data we used NDWI index, the treshold is adjusted based on data collected from the field Validation points were collected by Field team tested different values and check if the threshold identified fits with observation. The complete methodology how to detect flooding based on Sentinel 1 data and SNAP toolbox is documented in ESA website. B. Affected People To calculate number of affected people per each admin level, flood extent map is combined with HRSL population data. This is done in two steps: First, in step 1, we calculate a raster, which multiplies the population grid with the flood grid, such that we are left with only "population in flooded area". This is done using raster calculator where population density raster was multiplied by flood extent raster, which has a value of 0 for no flood and 1 for flood areas. Note that the flood extent grid was first resampled to match it to the population grid. This whole exercise is repeated for settlement/buildings instead of population. Step 2: We apply zonal statistics per TA to calculate total number of buildings/people affected in each admin level. For each Admin level2 estimated number of affected people and affected houses are plotted in the map. The zonal statistics data used for plotting can be found in the shape file.

GAR15 Global Exposure Dataset for Indonesia

United Nations Office for Disaster Risk Reduction (UNDRR)

90+ Downloads

Time Period of the Dataset [?]: December 31, 2015-December 31, 2015 ... More

This dataset updates: Never

This dataset is part of the data series [?]: UNDRR - GAR15 Global Exposure

The GAR15 global exposure database is based on a top-down approach where statistical information including socio-economic, building type, and capital stock at a national level are transposed onto the grids of 5x5 or 1x1 using geographic distribution of population data and gross domestic product (GDP) as proxies.

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GAR15 Global Exposure Dataset for Bolivia (Plurinational State of)

United Nations Office for Disaster Risk Reduction (UNDRR)

60+ Downloads

Time Period of the Dataset [?]: December 31, 2015-December 31, 2015 ... More

This dataset updates: Never

This dataset is part of the data series [?]: UNDRR - GAR15 Global Exposure

The GAR15 global exposure database is based on a top-down approach where statistical information including socio-economic, building type, and capital stock at a national level are transposed onto the grids of 5x5 or 1x1 using geographic distribution of population data and gross domestic product (GDP) as proxies.

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Geodata of Update 2: Al Azraq Refugee Camp, Az Zarqa Governorate, Jordan

United Nations Satellite Centre (UNOSAT)

10+ Downloads

Time Period of the Dataset [?]: January 17, 2014-January 17, 2014 ... More

This dataset updates: Never

This map illustrates the refugee camp currently under construction in Al Azraq, Jordan using an image collected by the WorldView-2 satellite on 28 December 2013. As of 28 December 2013 a total of 3,174 structures were detected in the camp, 2,431 infrastructure and support buildings and 743 tent structures. Preparations are continuing so as to accommodate additional incoming refugees. The previous analysis done by UNOSAT using an image from 14 September 2013 detected a total of 2,689 infrastructure, support buildings and shelters. This is an increase of approximately 18%. Paved and unpaved roads have likewise increased significantly and define the transportation network in and around the camp. Water and sanitation services are also under development in multiple camp zones suitable for supporting thousands of proximate shelters. This is a preliminary analysis and has not yet been validated in the field. Please send ground feedback to UNITAR / UNOSAT.

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Iraq - Gawilan IDP Settlement, Al - Hamdaniya, Ninawa Province

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 shelters and other buildings at the Gawilan IDP Camp in Ninawa Province, Iraq. This camp is 7.2 kilometres northwest of Aski Kalak town and as of 28 June 2016, a total of 1,609 shelters were detected as well as 1,584 infrastructure and support buildings. Areas of shelters under construction are also visible in the image as of 28 June 2016. This is a preliminary analysis & has not yet been validated in the field. Please send ground feedback to UNITAR / UNOSAT.

Damage Assessment in Bucay Town, Abra Province, Cordillera Administrative...

United Nations Satellite Centre (UNOSAT)

10+ Downloads

Time Period of the Dataset [?]: August 04, 2022-August 04, 2022 ... More

This dataset updates: Never

UNOSAT code: EQ20220727PHL This map illustrates potentially damaged buildings and damaged buildings in Bucay Town, Abra Province, Cordillera Administrative Region, Philippines as detected by Pléiades satellite image acquired on 29 July 2022. Within the analyzed area, UNOSAT has identified 6 potentially damaged buildings and 1 damaged building. 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).

Damage Assessment in Tayum Town, Abra Province, Cordillera Administrative...

United Nations Satellite Centre (UNOSAT)

Time Period of the Dataset [?]: August 03, 2022-August 03, 2022 ... More

This dataset updates: Never

UNOSAT code: EQ20220727PHL This map illustrates potentially damaged buildings and damaged buildings in Tayum Town, Abra Province, Cordillera Administrative Region, Philippines as detected by Pléiades satellite image acquired on 29 July 2022. Within the analyzed area, UNOSAT has identified 37 potentially damaged buildings and 1 damaged buildings. 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).

Damage Assessment in Bangued Town, Abra Province, Cordillera Administrative...

United Nations Satellite Centre (UNOSAT)

Time Period of the Dataset [?]: August 03, 2022-August 03, 2022 ... More

This dataset updates: Never

UNOSAT code: EQ20220727PHL This map illustrates potentially damaged buildings and damaged buildings in Bangued Town, Abra Province, Cordillera Administrative Region, Philippines as detected by Pléiades satellite image acquired on 29 July 2022. Within the analyzed area, UNOSAT has identified 137 potentially damaged buildings and 10 damaged buildings. 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).

Damage Assessment in southern Spera district, Khost province as of 24 June 2022

United Nations Satellite Centre (UNOSAT)

Time Period of the Dataset [?]: July 05, 2022-July 05, 2022 ... More

This dataset updates: Never

UNOSAT code: EQ20220622AFG This map illustrates potentially damaged buildings and damaged buildings in Spera district, Khost province of Afghanistan as detected by a NewSat image acquired on 24 June 2022. Within the analyzed area, UNOSAT has identified 49 potentially damaged buildings, 34 damaged buildings and 145 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).

Damage Assessment in Spera district, Khost province as of 24 June 2022

United Nations Satellite Centre (UNOSAT)

Time Period of the Dataset [?]: July 01, 2022-July 01, 2022 ... More

This dataset updates: Never

UNOSAT code: EQ20220622AFG This map illustrates potentially damaged buildings and damaged buildings in Spera district, Khost province of Afghanistan as detected by a NewSat image acquired on 24 June 2022. Within the analyzed area, UNOSAT has identified 81 potentially damaged buildings, 12 damaged buildings and 170 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).

Damage Assessment in Gyan district, Pakteka province as of 24 June 2022

United Nations Satellite Centre (UNOSAT)

Time Period of the Dataset [?]: June 30, 2022-June 30, 2022 ... More

This dataset updates: Never

UNOSAT code: EQ20220622AFG This map illustrates potentially damaged buildings and damaged buildings in Gyan district, Pakteka province of Afghanistan as detected by Jilin-1 satellite image acquired on 24 June 2022. Within the analyzed area, UNOSAT has identified 39 potentially damaged buildings, 22 damaged buildings and 33 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).

Damage Assessment in Tani district, Khost province as of 23 June 2022

United Nations Satellite Centre (UNOSAT)

Time Period of the Dataset [?]: June 29, 2022-June 29, 2022 ... More

This dataset updates: Never

UNOSAT code: EQ20220622AFG This map illustrates potentially damaged buildings and damaged buildings in Tani district, Khost province of Afghanistan as detected by Worldview-3 image acquired on 23 June 2022. Within the analyzed area, UNOSAT has identified 156 potentially damaged buildings, 70 damaged buildings and 58 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).

Central African Republic - Ground and Satellite-Based Damage Assessment in...

OCHA Central African Republic

60+ Downloads

Time Period of the Dataset [?]: May 01, 2014-May 01, 2014 ... More

This dataset updates: Never

The data shows the ground and Satellite-Based Damage Assessment in Western CAR (2013-2014) Human Rights Watch ground and satellite-based damage assessment of 790 villges and towns in western Central African Republic (CAR) covering the period from April 2013 to April 2014. A total of 125 villages had identified building destruction related to the conflict, with a total of over 17,500 mostly destroyed residential buildings.

SHP

Flood impact assessment in Derna City, East Province, Libya

United Nations Satellite Centre (UNOSAT)

100+ Downloads

Time Period of the Dataset [?]: September 13, 2023-September 13, 2023 ... More

This dataset updates: Never

UNOSAT code FL20230912LBY, GDACS Id: 1102204 This map illustrates satellite-detected flood extent in Derna City located in the East Province of Libya, as observed from a Pléiades imagery acquired on 13 September 2023 at 13:39 local time after the passage of the Mediterranean tropical-like cyclone Daniel. Within the city of Derna, at least 2,217 buildings appear to have been exposed to rushing floodwaters. 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).

Geodata of Oncunipar Refugee Camp, Merkez District, Kilis Province, Turkey

United Nations Satellite Centre (UNOSAT)

10+ Downloads

Time Period of the Dataset [?]: June 16, 2015-June 16, 2015 ... More

This dataset updates: Never

This map illustrates satellite-detected shelters in the Oncunipar Refugee Camp in Merkez District, Kilis Province, Turkey. As of 05 June 2015, UNOSAT analyzed a total of 2,469 shelters as well as 67 infrastructure and support buildings within the 40.7 ha of the camp. A new 10 ha area has been built since December 2014 containing 506 of the 2,469 shelter structures. This is a preliminary analysis and has not yet been validated in the field. Please send ground feedback to UNITAR - UNOSAT.

SHP

Geodata of Gendrasa Refugee Camp, Maban County, Upper Nile State, South Sudan

United Nations Satellite Centre (UNOSAT)

Time Period of the Dataset [?]: July 01, 2015-July 01, 2015 ... More

This dataset updates: Never

This map illustrates satellite-detected shelters and other buildings at the Gendrasa refugee camp in Maban County, Upper Nile State, South Sudan. As of 08 April 2015 a total of 9,692 shelters were detected as well as 225 infrastructure and support buildings. The number of shelters increased by approximately 17% since the previous UNOSAT analysis which used imagery from 06 December 2013 and located a total of 8,028 shelters. This is a preliminary analysis and has not yet been validated in the field; structure locations are subject to a spatial error margin of +/- three meters. Please send ground feedback to UNITAR-UNOSAT.

SHP

Update: Al Azraq Refugee Camp, Az Zarqa Governorate, Jordan

United Nations Satellite Centre (UNOSAT)

90+ Downloads

Time Period of the Dataset [?]: August 22, 2016-August 22, 2016 ... More

This dataset updates: Never

This map illustrates the refugee settlement in Al Azraq, Jordan as seen by the WorldView-3 satellite on 30 June 2016. Analysis by UNITAR-UNOSAT of the satellite image indicates a total of 14,609 visible structures. This includes 4,389 infrastructure and support buildings as well as 10,220 shelters. Preparations are continuing so as to accommodate additional incoming refugees. The previous analysis done by UNOSAT using an image from 5 October 2015 detected a total of 14,227 infrastructure, support buildings and shelters. This is an increase of approximately 2.7%. This is a preliminary analysis and has not yet been validated in the field. Please send ground feedback to UNITAR - UNOSAT.

Damage Assessment of Eua Island, Tonga

United Nations Satellite Centre (UNOSAT)

Time Period of the Dataset [?]: March 15, 2018-March 15, 2018 ... More

This dataset updates: Never

This map illustrates satellite-detected building damage assessment as of 13 February 2018, over the Island of Eua, Tonga, following the passage of the tropical cyclone GITA-18. The analysis was conducted using post-event WorldView-2 images and pre-event GeoEye-1 images as of 28 June 2017. A total of 542 buildings were detected as damaged over the towns of Houma, Ohnoua, Pangai and Tufuvai. According to the pre-building footprints provided by Humanitarian Open Street Map, this represents 47% of the total number of structures in Eua Island. 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.

SHP