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  • 400+ Downloads
    Updated September 11, 2018 | Dataset date: Jul 11, 2016
    This dataset updates: Never
    Operational Presence for the Earthquake Response - with activities at cantonal level
  • 400+ Downloads
    Updated September 11, 2018 | Dataset date: May 16, 2016
    This dataset updates: Never
    4W of the Ecuador Response as of 16th May 2016, compiled by OCHA featuring 4W inputs from: WASH, Food Security, Education, Protection, CCCM, Shelter, Logistics, Early Recovery sectors.
  • 80+ Downloads
    Updated September 10, 2018 | Dataset date: May 1, 2018
    This dataset updates: Every three months
    This data is the collection of perception of people affected by earthquake in Nepal. The data is collected in 14 district of Nepal which has more than sixty percent of damage level by earthquake in 2015. The total of 2100 people are surveyed in various VDC of the district.
  • 20+ Downloads
    Updated August 16, 2018 | Dataset date: Apr 18, 2016
    This dataset updates: Never
    Damage data from Ecuador Government in google spreadsheets
  • 60+ Downloads
    Updated August 1, 2018 | Dataset date: Jul 29, 2018
    This dataset updates: Every six months
    An Interferogram of the devastating earthquake in Indonesia last July 29, 2018 with a magnitude of 6.4. Data were processed using 2 Sentinel 1 data using repeat pass interferometry. One cycle (cold to hot color) means half of the radar wavelength which is approximately 3.5 - 7.5 cm wavelength. The data shows vertical ground displacement with respect to the satellites line of sight (LOS).
  • 90+ Downloads
    Updated July 31, 2018 | Dataset date: Jul 1, 2017-Jul 31, 2017
    This dataset updates: Every year
    A radar interferogram of the Magnitude 6.5 earthquake that hit Ormoc City Leyte last 6 July 2017. Data were processed using 2 Sentinel C-band Synthetic Aperture Radar data (Repeat Pass)
  • 1000+ Downloads
    Updated July 16, 2018 | Dataset date: May 31, 2018
    This dataset updates: Every year
    Who What Where of Humanitarian Activities in Papua New Guinea Earthquake
  • This map illustrates satellite-detected, potentially damaged structures in the town of Atzala, Atzala Municipality, Puebla State, Mexico. The analysed area is located approximately 7 km west of the mainshock epicentre of the 19 September M 7.1 earthquake. UNITAR-UNOSAT identified 91 potentially damaged structures of which 78 are within the town extent. Taking in account the total 559 pre-event structures in Atzala town, 14% of the structures are likely to be damaged. These analyses was performed using a post-event Pleiades satellite image acquired on 22 September 2017 and a pre-event WorldView-2 satellite image acquired on 11 April 2017. This is a preliminary analysis and has not yet been validated in the field. Please send ground feedback to UNITAR - UNOSAT.
  • This map illustrates satellite-detected, potentially damaged structures in the central western part of the city of Cuernavaca and more specifically in the neighborhoods of Downtown, La Mina 2 and Altavista, Cuernavaca Municipality, Morelos State, Mexico. UNITAR-UNOSAT detected a general moderate damage with a few collapsed structures and identified 1,494 potentially affected structures. The analysis was performed using a post-event WorldView-3 satellite image acquired on 22 September 2017 and a pre-event WorldView-2 satellite image acquired on 13 February 2017. This is a preliminary analysis and has not yet been validated in the field. Please send ground feedback to UNITAR - UNOSAT.
  • Este mapa ilustra las estructuras potencialmente dañadas por el sismo del 19 de septiembre de 2017 con intensidad de 7.1 grados en la escala de Richter, que fueron detectadas a través de imágenes de satélite para la colonia Capultitlan en la Ciudad de México. Se identificaron 17 estructuras potencialmente dañadas dentro de la imagen de satélite base, de las cuales 12 se encuentran dentro del límite administrativo de la colonia. En análisis se realizó con una imagen WorldView-2, adquirida el 26 de septiembre de 2017, caracterizándose como un análisis preliminar que aún no es validado en campo.
  • This map illustrates satellite-detected, potentially damaged structures in the town of Jojutla, Jojutla Municipality, Morelos State, Mexico. The analyzed area is located approximately 82 km west of the main shock epicenter of the 19 September 2017 M7.1 earthquake. UNITAR-UNOSAT identified 1,102 potentially damaged structures. The analysis was performed using a post-event Pleiades satellite image acquired on 03 October 2017 and Bing as pre-event image. This is a preliminary analysis and has not yet been validated in the field. Please send ground feedback to UNITAR - UNOSAT.
  • This map illustrates satellite-detected, potentially damaged structures in the Historical Center of Puebla located in Heroica Puebla de Zaragoza Municipality, Puebla State, Mexico. The analyzed area is located approximately 90 km north of the epicentral zone of the 19 September 2017 M7.1 earthquake. the Institute of Geography of the National Autonomous University of Mexico (IGG-UNAM) identified 336 potentially damaged structures from which 256 are within Historical Center. The analysis was performed using a post-event WorldView-3 satellite image acquired on 23 September 2017 and a pre-event WorldView-2 satellite image acquired on 28 July 2017. This is a preliminary analysis and has not yet been validated in the field. Please send ground feedback to UNITAR - UNOSAT.
  • 30+ Downloads
    Updated July 5, 2018 | Dataset date: Nov 2, 2017
    This dataset updates: Live
    This map illustrates satellite-detected, potentially damaged structures in some affected colonies located in Venustiano Carranza, Cuauhtemoc, Benito Juarez, Coyoacan and Iztapalapa Municipalities, Federal District, Mexico. The analysis was performed by Faculty of Geography of the Autonomous University of the State of Mexico (UAEMex) using as post-event satellite imagery : WorldView-2 acquired as of 20 and 26 September 2017 and Pleiades acquired as of 22 September 2017. UAEMex identified 201 potentially damaged structures within the limit of the analyzed colonies, surrounded by a blue line in this map: 24 are located in Magdelena Mixhuca colony, 22 in Aculco, 21 in Atenor Sala and 20 in El Arenal. Please do not hesitate to send feedback to UNITAR - UNOSAT.
  • This map illustrates satellite-detected, potentially damaged structures in the town of Tlaquiltenango, Tlaquiltenango Municipality, Morelos State, Mexico. The analyzed area is located approximately 72 km west of the main shock epicenter of the 19 September 2017 M7.1 earthquake. UNITAR-UNOSAT identified 1,216 potentially affected structures within the town boundary. The analysis was performed using a post-event Pleiades satellite image acquired on 05 October 2017 and Bing as pre-event image. This is a preliminary analysis and has not yet been validated in the field. Please send ground feedback to UNITAR - UNOSAT.
  • This map illustrates satellite-detected, potentially damaged structures in the southwestern part of Cuauhtemoc Municipality, Federal District, Mexico. The analyzed area is located approximately 120 km northwest of the main shock epicenter of the 19 September 2017 M7.1 earthquake. The analysis was performed using a post-event WorldView-2 satellite image acquired on 26 September 2017 and a pre-event Bing basemap. UNITAR-UNOSAT identified 145 potentially damaged structures from which 25 are located in Roma Norte suburb, 24 in Roma Sur, 21 in Hipodromo and 20 in La Condesa. This is a preliminary analysis and has not yet been validated in the field. Please send ground feedback to UNITAR - UNOSAT.
  • This map illustrates UAV images-detected and field work survey damaged structures in the town of Tlayacapan located in Tlayacapan Municipality, Morelos State, Mexico. The analyzed area is located at 68 km north-west of the epicentral zone of the 19 September 2017 M7.1 earthquake. The Institute of Geography of the National Autonomous University of Mexico (IGG-UNAM) identified 189 damaged structures. The analysis was performed using a post-event UAV images acquired on 7 October 2017 and field work. Please send ground feedback to UNITAR - UNOSAT.
  • This map illustrates satellite-detected, potentially damaged structures in the town of Coatetelco, Miacatlan Municipality, Morelos State, Mexico. The analyzed area is located approximately 90 km northwest of the main shock epicenter of the 19 September 2017 M7.1 earthquake. UNITAR-UNOSAT identified 500 potentially damaged structures. The analysis was performed using a post-event WorldView-3 satellite image acquired on 22 September 2017 and a pre-event WorldView-2 satellite image acquired on 17 January 2017. This is a preliminary analysis and has not yet been validated in the field. Please send ground feedback to UNITAR - UNOSAT.
  • This map illustrates satellite-detected, potentially damaged structures in some affected colonies located in Xochimilco and Tlahuac Municipalities, Federal District, Mexico. The analysis was performed by Faculty of Geography of the Autonomous University of the State of Mexico (UAEMex) using as post-event WorldView-2 satellite imagery acquired 20 September 2017. UAEMex identified 87 potentially damaged structures from which 63 are located in Santa Maria Nativitas colony and surroundings. Please do not hesitate to send feedback to UNITAR - UNOSAT.
  • 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.
  • This map illustrates potentially damaged structures/buildings and related density in Sarpol-e-Zahab, Kermanshah, Iran as detected by a Pleiades satellite image acquired on 16 November 2017. The UNITAR-UNOSAT analysis identified 683 damaged structures. Taking into account the pre-building footprints provided by Humanitarian OpenStreetMap (~9700 structures), this represents about 7 % of the total number of structures within Sarpol-e-Zahab. The damage density highlights that the neighbourhood of Maskane Mahar and the area around the Post Office are amongst the most affected zones. This is a preliminary analysis and has not yet been validated in the field. Please send ground feedback to UNITAR - UNOSAT.  
  • 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
  • This map illustrates satellite-detected damaged and potentially damaged buildings in the town of Koeeke Hasan, 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 intense damage across the whole town, particularly in Koeeke Hasan, Koeeke Aziz and Koeeke Mahmod. A total of 1174 structures have been identified as damaged or collapesed across the area extent represented here. This is a preliminary analysis and has not yet been validated in the field. Please send ground feedback to UNITAR - UNOSAT.
  • 40+ Downloads
    Updated May 29, 2018 | Dataset date: May 29, 2018
    This dataset updates: Every year
    Health Facility Building Damage Status - data source from DFAT, CARDNO, WHO, NDOH and ICRC
  • 100+ Downloads
    Updated May 10, 2018 | Dataset date: May 1, 2018
    This dataset updates: Every year
    geocoded education facilities
  • 100+ Downloads
    Updated May 8, 2018 | Dataset date: Mar 30, 2018
    This dataset updates: Every year
    Affected Villages based on 2011 Population. Intensity - USGS Villages - NSO Affected Village - NDC