he total economic value of the effects caused by Tropical Cyclone Pam was estimated to be approximately VT 48.6 billion (US$449.4 million). Of this, VT 29.3 billion (US$270.9 million) is attributable to damage, and VT 19.3 billion (US$178.5 million) is attributable to loss. This is equivalent to 64.1% of the gross domestic product (GDP) in Vanuatu, giving an indication of the scale of impact. Because of data limitations, however, it is likely that these figures underestimate the total impact.
*refer to pdf report for more information*
This table provides a summary of the estimated costs for recovery and reconstruction. Total recovery and reconstruction is estimated at VT 34.1 billion (US$316 million). Of this amount VT 10.3 billion (US$95 million) is focused over the short-term (12 months to four years).
*data extracted from the PDNA Cyclone Pam 2015*
Cvs version of the data in Excel!
For the purpose of this PDNA, the agricultural sector is defined to include the crops, livestock, fishery, and forestry subsectors
Commerce and industry comprises close to 40% of GDP and is therefore a key sector for Vanuatu. Tropical Cyclone Pam damaged the sector’s buildings and inputs for production, and it continued to affect the sector through increased costs of inputs and reduced activity in the economy. It is important to note that the figures reported are likely to be underestimated due to the amount of data available for inclusion within this PDNA, which was prepared in a short time frame.
Vanuatu has obligations under these international conventions and agreements
CVS version of the data in the excel file
OpenStreetMap (OSM) is a free, editable map & spatial database of the whole world. This dataset is an extract of OpenStreetMap data for Wallis and Futuna in a GIS-friendly format.
The OSM data has been split into separate layers based on themes (buildings, roads, points of interest, etc), and it comes bundled with a QGIS project and styles, to help you get started with using the data in your maps. This OSM product will be updated weekly.
OpenStreetMap (OSM) is a free, editable map & spatial database of the whole world. This dataset is an extract of OpenStreetMap data for French Polynesia in a GIS-friendly format.
The OSM data has been split into separate layers based on themes (buildings, roads, points of interest, etc), and it comes bundled with a QGIS project and styles, to help you get started with using the data in your maps. This OSM product will be updated weekly.
OpenStreetMap (OSM) is a free, editable map & spatial database of the whole world. This dataset is an extract of OpenStreetMap data for the Northern Mariana Islands in a GIS-friendly format.
The OSM data has been split into separate layers based on themes (buildings, roads, points of interest, etc), and it comes bundled with a QGIS project and styles, to help you get started with using the data in your maps. This OSM product will be updated weekly.
OpenStreetMap (OSM) is a free, editable map & spatial database of the whole world. This dataset is an extract of OpenStreetMap data for Guam in a GIS-friendly format. The OSM data has been split into separate layers based on themes (buildings, roads, points of interest, etc), and it comes bundled with a QGIS project and styles, to help you get started with using the data in your maps. This OSM product will be updated weekly.
MODIS (or Moderate Resolution Imaging Spectroradiometer) is a key instrument aboard the Terra (originally known as EOS AM-1) and Aqua (originally known as EOS PM-1) satellites. Terra's orbit around the Earth is timed so that it passes from north to south across the equator in the morning, while Aqua passes south to north over the equator in the afternoon. Terra MODIS and Aqua MODIS are viewing the entire Earth's surface every 1 to 2 days, acquiring data in 36 spectral bands, or groups of wavelengths (see MODIS Technical Specifications).
OSCAR (Ocean Surface Current Analysis Real-time) contains near-surface ocean current estimates, derived using quasi-linear and steady flow momentum equations. The horizontal velocity is directly estimated from sea surface height, surface vector wind and sea surface temperature. These data were collected from the various satellites and in situ instruments. The model formulation combines geostrophic, Ekman and Stommel shear dynamics, and a complementary term from the surface buoyancy gradient. Data are on a 1/3 degree grid with a 5 day resolution.
Conservation International, GRID-Arendal and Geoscience Australia recently collaborated to produce a map of the global distribution of seafloor geomorphic features. The global seafloor geomorphic features map represents an important contribution towards the understanding of the distribution of blue habitats. Certain geomorphic feature are known to be good surrogates for biodiversity. For example, seamounts support a different suite of species to abyssal plains.
Between March 12 and 14, 2015, Tropical Cyclone Pam struck Vanuatu as an extremely destructive Category 5 cyclone, with estimated wind speeds of 250km/h and wind gusts that peaked at around 320km/h. This assessment provides estimates to the the damages and losses, and identifies the needs of the affected population.
Spatial dataset for reefs in Vanuatu. Source: Institute of Marine Remote Sensing (IMARS).
* Attribute details on reef type: barrier atoll-bank, barrier island, fringing island, land, non-reef, patch atoll-bank, patch island.
* Attribute details on depth: deep, land, shallow, variable.
List of international environmental related agreements and conventions to which Vanuatu is obligated to.
*adopted from the Vanuatu National Biodiversity Strategy and Action Plan 2018 - 2030, pg 24*
this is a post disaster assessment report - cyclone Pam 2015