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  • Updated 8 March 2016 | Dataset date: February 25, 2016-February 25, 2016
    This dataset updates: Never
    This map illustrates the damage assessment in the Lautoka city and greater area in Ba Province in the northwestern part of Viti Levu Island, Fiji, as determined by satellite imagery analysis. Using imagery acquired 22 February 2016, UNITAR-UNOSAT identified a total of 900 damaged structures, of which 433 were within the city limits. In the greater Lautoka area, 74 structures were identified to be destroyed, 152 were severely damaged, and 674 have suffered moderate damages. These damaged structures were compared with total number of buildings/structures ( ~17,500) in the region and the percentage of damaged buildings across the area was estimated to be about 5%. This is a preliminary analysis and has not yet been validated in the field. Please send ground feedback to UNITAR - UNOSAT.  
  • Updated 8 March 2016 | Dataset date: February 22, 2016-February 22, 2016
    This dataset updates: Never
    This map illustrates satellite-detected waters in Savu area, Naitasiri Province situated in the south of Viti Levu Island (Fiji). Using satellite imagery collected by RADARSAT-2 on 21 February 2016 and 08 April 2015, UNOSAT identified ~ 1,100 hectares of land to be potentially affected by waters. Most of the affected areas are agricultural fields located along the banks of River Rewa. This is a preliminary analysis and has not yet been validated in the field. Please send ground feedback to UNITAR-UNOSAT.
  • 100+ Downloads
    Updated 2 March 2016 | Dataset date: February 22, 2016-February 22, 2016
    This dataset updates: Never
    This map illustrates satellite-detected waters in Savu area, Naitasiri Province situated in the south of Viti Levu Island (Fiji). Using satellite imagery collected by RADARSAT-2 on 21 February 2016 and 08 April 2015, UNOSAT identified ~ 1,100 hectares of land to be potentially affected by waters. Most of the affected areas are agricultural fields located along the banks of River Rewa.
  • 1000+ Downloads
    Updated 2 March 2016 | Dataset date: February 26, 2016-February 26, 2016
    This dataset updates: Never
    Fiji - Contour lines with elevation data on each line, split in to two shapefiles, east and west at 180.00 degree line. Generated from Global Multi-resolution Terrain Elevation Data 2010 (GMTED2010) data 7.5 arc second resolution with 20m between contour lines.
  • 700+ Downloads
    Updated 2 March 2016 | Dataset date: February 26, 2016-February 26, 2016
    This dataset updates: Never
    General Information about the structure of this document This document contains the following four tab sheets: 'New Tikina Alphabetical', 'New TIKINA PCODE Hierachical', 'Old Tikina' and 'Settlements'. All tabs contain the Pcode information and population information. Contained within these PCODE products are: 1. A hierarchical coding for admin levels which consist of: a. Division (admin level 1) b. Province (admin level 2) c. Tikina (admin level 3) - these relate to the new consolidated Tikina as promoted by Fiji Bureau of Statistics d. Old or Traditional Tikina (admin level 4) – these are traditional boundaries. Formally this is not a Level 4 admin dataset, and there are some discrepancies between level 3 and level 4 boundaries. Settlement Pcodes – this dataset is a simple numerical list in alphabetical order of all known settlements. The settlement data are shown in their respective admin areas (Division/Province/Tikina with the PCODE numbers of those admin zones)
  • 40+ Downloads
    Updated 10 December 2015 | Dataset date: November 13, 2015-November 13, 2015
    This dataset updates: Never
    This map illustrates satellite-detected potential damage following Cyclone Chapala in western Socotra Island, Socotra Governorate, Yemen. Using satellite imagery acquired 04 November 2015 compared with imagery from 27 October 2015, 10 and 23 September 2015, UNITAR-UNOSAT analyzed an area of approximately 2,157 square kilometers or roughly 59% of the island. A total of 81 potentially damaged structures were identified as of 04 November 2015. Many affected structures and boats were observed near the settlement of Qulansiyah. Detected damage likely reflects an underestimation due to significant cloud obstruction. This is a preliminary analysis and has not yet been validated in the field. Please send ground feedback to UNITAR - UNOSAT.
  • 500+ Downloads
    Updated 25 November 2015 | Dataset date: October 23, 2015-October 23, 2015
    This dataset updates: Every year
    Capas administrativas 0, 1 y2 de México
  • 400+ Downloads
    Updated 24 November 2015 | Dataset date: January 01, 1969-January 01, 2009
    This dataset updates: Never
    This dataset includes a compilation of Tropical cyclones best tracks 1969-2009.
  • 300+ Downloads
    Updated 24 November 2015 | Dataset date: December 06, 2014-December 06, 2014
    This dataset updates: Never
  • 40+ Downloads
    Updated 6 November 2015 | Dataset date: November 06, 2015-November 06, 2015
    This dataset updates: Never
    This map illustrates satellite-detected damage and destruction in Jilah village, Shabwah Governorate, Yemen. Using satellite imagery acquired 5 November 2015 and comparing with imagery collected on 22 August 2015, UNITAR - UNOSAT identified an area severely affected by flash flood resulting from rains during Cyclone Chapala. Imagery shows that the town of Jilah is partially covered by mud and a total of 150 structures appear damaged. Approximately 58 of these were destroyed, 57 severely damaged, and 35 moderately damaged. Primary road N4 is also highly affected by mud as a consequence of the flash floods and it is impassable across several sections. This is a preliminary analysis and has not yet been validated in the field. Please send ground feedback to UNITAR - UNOSAT.
  • 20+ Downloads
    Updated 28 August 2015 | Dataset date: December 01, 2014-December 10, 2014
    This dataset updates: Never
  • 20+ Downloads
    Updated 28 August 2015 | Dataset date: December 06, 2014-December 06, 2014
    This dataset updates: Never
    Preliminary list of evacuation centers - likely to be updated
  • 10+ Downloads
    Updated 10 August 2015 | Dataset date: December 18, 2014-December 18, 2014
    This dataset updates: Never
    This map illustrates satellite-detected damaged structures in Borongan City, Eastern Samar Province, Philippines. Using an image acquired by the Pleiades satellite on 14 December 2014 and compared with an image collected on 26 April 2014, UNOSAT identified 439 affected structures in the area. Specifically, 87 structures were categorized as destroyed, 154 as severely damaged and 198 as moderately damaged. This is a preliminary analysis and has not yet been validated in the field. Please send ground feedback to UNITAR / UNOSAT.
  • Updated 10 August 2015 | Dataset date: December 17, 2014-December 17, 2014
    This dataset updates: Never
    This map illustrates satellite-detected damaged structures in San Julian Area, Eastern Samar Province, Philippines. Using an image acquired by the WorldView-2 satellite on 12 December 2014 and compared with WorldView-1 image collected on 12 July 2014, UNOSAT identified a total of 279 affected structures in the area. Specifically, 66 structures were categorized as destroyed, 148 as severely damaged and 65 as moderately damaged. This is a preliminary analysis and has not yet been validated in the field. Please send ground feedback to UNITAR / UNOSAT.
  • Updated 10 August 2015 | Dataset date: December 16, 2014-December 16, 2014
    This dataset updates: Never
    This map illustrates satellite-detected damaged structures in Taft City, Eastern Samar Province, Philippines. Using an image acquired by the WorldView-2 satellite on 12 December 2014 and compared with an image collected on 19 June 2014, UNOSAT identified 277 affected structures in the area. Specifically, 75 structures were categorized as destroyed, 63 as severely damaged and 139 as moderately damaged. This is a preliminary analysis and has not yet been validated in the field. Please send ground feedback to UNITAR / UNOSAT.
  • Updated 10 August 2015 | Dataset date: December 15, 2014-December 15, 2014
    This dataset updates: Never
    This map illustrates satellite-detected damaged structures in Dolores City, East Samar Province, Philippines. Using an image acquired by the WorldView-2 satellite on 12 December 2014 and compared with an image collected on 19 June 2014, UNOSAT identified 597 affected structures in the area. Specifically, 193 structures were categorized as destroyed, 225 as severely damaged and 179 as moderately damaged. Note that due to significant cloud cover present on the post-event image, the north and northwestern parts of the city 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.
  • Updated 10 August 2015 | Dataset date: December 11, 2014-December 11, 2014
    This dataset updates: Never
    This map illustrates satellite-detected damaged structures in Guiuan City, Eastern Samar, Philippines. Using an image acquired by Pleiades Satellite on 8 December 2014 and comparing with two images collected 7 November and 16 July 2014, UNOSAT identified 495 affected structures in the area. Specifically, 121 structures were categorized as destroyed, 235 as severely damaged and 139 as moderately damaged. This is a preliminary analysis & has not yet been validated in the field. Please send ground feedback to UNITAR / UNOSAT.
  • Updated 10 August 2015 | Dataset date: December 11, 2014-December 11, 2014
    This dataset updates: Never
    This map illustrates damaged structures in Calbayog City, Samar Island, Philippines. Using a satellite image acquired 09 December 2014 and compared to an image collected 27 May 2014, UNOSAT reviewed the City of Calbayog and identified a total of 526 damaged structures in the area. 88 structures were identified as destroyed, 180 as severely damaged and 258 as moderately damaged. This is a preliminary analysis & has not yet been validated in the field. Please send ground feedback to UNITAR / UNOSAT.
  • Updated 10 August 2015 | Dataset date: December 09, 2014-December 09, 2014
    This dataset updates: Never
    This map illustrates satellite-detected areas with waters as detected bySentinel-1 imagery acquired the 08 December 2014 in Can-Avid municipality, west of Dolores city, Eastern Samar Province (Philippines). The heavy rains related to the typhoon Hagupit induced areas with standing waters that affected 460 ha of agriculural fields. This analysis has not yet been validated in the field. Please send ground feedback to UNITAR /UNOSAT.
  • Updated 10 August 2015 | Dataset date: December 08, 2014-December 08, 2014
    This dataset updates: Never
    This map illustrates satellite-detected areas with waters as detected by TerraSAR-X imagery acquired the 08 December 2014 in San Miguel area, west of Tacloban city, Leyte Province (Philippines). The heavy rains related to the typhoon Hagupit induced areas with standing waters. This analysis has not yet been validated in the field. Please send ground feedback to UNITAR /UNOSAT.
  • 10+ Downloads
    Updated 10 August 2015 | Dataset date: January 13, 2015-January 13, 2015
    This dataset updates: Never
    This map illustrates the extent of the snow cover caused by the storm "Huda" that moved through the Middle East region striking Lebanon, Jordan, and the West Bank from about 7-13 January. This analysis was based on satellite imagery collected by the MODIS sensor on the NASA AQUA satellite on 13 January 2015. As seen in the imagery the snow has covered a very extensive part of the Lebanon and Syria. A decrease in the snow cover extent is observed in certain areas in Southern Lebanon and Syria compared to previous UNOSAT analysis with imagery collected on 12 January. This is a preliminary analysis and has not yet been validated in the field. Please send ground feedback to UNITAR / UNOSAT.
  • 10+ Downloads
    Updated 10 August 2015 | Dataset date: January 12, 2015-January 12, 2015
    This dataset updates: Never
    This map illustrates the extent of the snow cover caused by the storm "Huda" that moved through the Middle East region striking Lebanon, Jordan, and the West Bank from about 7-12 January. This analysis was based on satellite imagery collected by the MODIS sensor on the NASA Terra satellite on 12 January 2015. As seen in the imagery the snow has covered a very extensive part of the Lebanon and Syria. Due to cloud cover present on the imagery an extensive portion of the area of interest 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.
  • Updated 4 April 2015 | Dataset date: March 31, 2015-April 05, 2015
    This dataset updates: Never
    Google spreadsheet version of data from this map http://www.hko.gov.hk/wxinfo/currwx/tc_gis_e.htm
  • 10+ Downloads
    Updated 16 March 2015 | Dataset date: March 16, 2015-March 16, 2015
    This dataset updates: Never
    Path (lat/lng) data for Cyclone Pam 2015. Includes time and windspeed