This tropical cyclone season 2018 – 2019 highlighted that tropical Cyclone activity for Samoan region is expected to be above normal (elevated) risk with 2-3 cyclones that can pass within 400km radius of the country, with at least 1 tropical cyclone to reach Category 3 or greater.
*Excel Data extraction from the report*
SPREP is leading the charge to make the Pacific Games in July go plastic free in an awareness and outreach initiative aptly called Greening of the Games. This dataset holds a draft report and a raw baseline data collected from a clean-up at Mulinu'u executed on the 11th May 2019 by the the Team Samoa Va'a, to contextualize solutions and interventions to address marine litter and plastic pollution.
Several GIS file types illustrating Tongan Coral reef geomorphic structure
Data originally produced by Millennium Coral Reef Mapping Project validated maps provided by the Institute for Marine Remote Sensing, University of South Florida (IMaRS/USF) and Institut de Recherche pour le Développement (IRD, Centre de Nouméa), with support from NASA.
Documentation on getting started with the Inform Data Portal
Marine pollution in the Pacific. Regional data
This data set in collaboration from SPREP.
The ASTER Global Digital Elevation Model (GDEM) Version 3 (ASTGTM) provides a global digital elevation model (DEM) of land areas on Earth at a spatial resolution of 1 arc second (approximately 30 meter horizontal posting at the equator).
The development of the ASTER GDEM data products is a collaborative effort between National Aeronautics and Space Administration (NASA) and Japan’s Ministry of Economy, Trade, and Industry (METI). The ASTER GDEM data products are created by the Sensor Information Laboratory Corporation (SILC) in Tokyo.
PNG's forest cover loss 2000-2017 downloaded from [www.globalforestwatch.org](https://www.globalforestwatch.org/)
From 2001 to 2017, Papua New Guinea lost 1.28Mha of tree cover, equivalent to a 3.0% decrease since 2000, and 158Mt of CO₂ of emissions.
The Household Income and Expenditure Survey (HIES) is a field operation which consists of collecting information in the households based on face to face interview.
The questions asked to the households are related to living standard conditions, expenditures, purchases, incomes.... It is the only survey conducted at a national level which deals with households habits in terms of expenditure and income. As the private and public sector, households represent an economic and social actor of the country which needed to be known.
This dataset contains all spatial data that is related to the Tonga volcanic eruption. Maps produced are derived from credible data source such as UNOSTAT and UNITAR.
The WASH Baseline Survey is an initiative of the Water and Sanitation Sector which aims to:
1. Gain a better understanding of the water and sanitation situation nationally; and
2. Collect information about Knowledge, Attitude and Practices of the population regarding water use, sanitation status and hygiene behaviour.
Cyclone Evan hit Samoa in December 2012 and caused immense damage and significant losses. This comprehensive assessment estimates those damages and losses, and identifies the needs of the affected population.
In this report, the value of durable physical assets across all economic and social sectors destroyed by Evan (referred to as damage) is estimated at SAT 235.7 million, equivalent to US$103.3 million.
Number of permits and consents approved from Jan - Mar 2018
Data on Ozone Depleting Substances (ODS) including Greenhouse Gases
Medicinal Use of Plants Cook Islands 2016 or older
This data set is a digital soil survey and generally is the most detailed level of soil geographic data developed by the National Cooperative Soil Survey.
The dataset is included the Digital Atlas of Micronesia, module Pohnpei, by Island Research & Education Initiative (iREi), in collaboration with Water and Environmental Research Institute of the Western Pacific (WERI) University of Guam and partial funding from United States Geological Survey (USGS), under WRRI 104-B Program, project # 2016GU302B.