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  • This map illustrates damage structures in the area of Sasa, east of Baba town, in Ba Province in the north part of Viti Levu Island, Fiji, as determined by satellite imagery analysis. Using imagery acquired 26 February 2016, UNITAR-UNOSAT identified a total of 352 damaged structures within the extent of this map, 153 structures were identified to be destroyed, 122 were severely damaged, and 77 have suffered moderate damage. This is a preliminary analysis and has not yet been validated in the field. Please send ground feedback to UNITAR - UNOSAT.
  • This map illustrates the damage assessment in the city of Vatukoula and greater area in Ba Province in the northern part of Viti Levu Island, Fiji, as determined by satellite imagery analysis. Using imagery acquired 26 February 2016, UNITAR-UNOSAT identified a total of 299 damaged structures, 48 structures were identified to be destroyed, 71 were severely damaged, and 180 have suffered moderate damage. This is a preliminary analysis and has not yet been validated in the field. Please send ground feedback to UNITAR - UNOSAT.
  • 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.  
  • 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.
  • 1400+ Downloads
    Updated March 5, 2016 | Dataset date: Mar 4, 2007
    This dataset updates: Never
    These are selected indicators from the 2007 Fijian Census. Some of the data is projected to 2015. These indicators were selected to identify potentially vulnerable households. Original dataset and more information can be found in the Fiji Bureau of Statistics website: http://fiji.popgis.spc.int/
  • 70+ Downloads
    Updated March 2, 2016 | Dataset date: Feb 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.
  • 800+ Downloads
    Updated March 2, 2016 | Dataset date: Feb 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.
  • 600+ Downloads
    Updated March 2, 2016 | Dataset date: Feb 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)
  • 100+ Downloads
    Updated January 29, 2016 | Dataset date: Dec 31, 2015
    This dataset updates: Never
    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.