This report presents the findings of the landfill audit undertaken for Vanuatu. The methodology applied for this landfill audit was as per the Waste Audit Methodology – a step-by-step manual to conduct comprehensive waste audits in SIDs, produced by PRIF.
The waste audit was undertaken with support from Port Vila Municipal Council and Luganville Municipal Council in close collaboration with APWC (remotely) supporting the delivery of the waste audit and other key stakeholders. The audit took place from 9 to 30 October 2020 and the results are presented in this report.
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.
The PacWaste Plus Programme has a specific Key Result Area (KRA) which requires specific action on the collation and review of existing data on waste and pollution at the regional and national level and identify key areas where further data needs to be collected including gender sensitive and rights-based information. Specifically, the project seeks to, i) Undertake waste audits in Federated States of Micronesia, Republic of Marshall Islands, Nauru and Vanuatu. This dataset holds waste audit data for Vanuatu, put together by Tonkin &Taylor on behalf of the Secretariat.
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.
Dataset contains training material on using open source Geographic Information Systems (GIS) to improve protected area planning and management from workshops that were conducted on February 19-21 and October 6-7, 2020. Specifically, the dataset contains lectures on GIS fundamentals, QGIS 3.x, and global positioning system (GPS), as well as country-specific datasets and a workbook containing exercises for viewing data, editing/creating datasets, and creating map products in QGIS.
This guide introduces environmental indicators and provides an overview of SPREP’S core indicators for Pacific island countries. In 2012, the SPREP members approved the development of a set of standardised indicators for use by member countries at the SPREP meeting. Through the Inform project, SPREP programmes then developed a set of 34 indicators that was endorsed by members at the 2018 SPREP meeting. This document explains the development and use of environmental indicators in Part 1 and provides a summary of each of the 34 ‘core’ indicators in Part 2.
OpenStreetMap (OSM) is a free, editable map & spatial database of the whole world. This dataset is an extract of OpenStreetMap data for American Samoa 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.
State of Environment (SoE) reports provide in-country partners with a process to gather data on current environmental indicators, document their status, and formulate a plan for keeping these indicators on track or developing policies and programs as needed. This SoE Toolkit dataset contains resources that serve as guides to help create up-to-date State of Environment reports.
Highlighting some of the Key Results of the Inform Project
This dataset holds regional and steering committee meeting minutes of the Inform project.
For Inform member countries to access
Dataset contains training material on using open source Geographic Information Systems (GIS) to improve protected area planning and management from a workshop that was conducted on February 26-28, 2020. Specifically, the dataset contains lectures on GIS fundamentals, QGIS 3.x, and global positioning system (GPS), as well as country-specific datasets and a workbook containing exercises for viewing data, editing/creating datasets, and creating map products in QGIS.
The Strandings of Oceania database is a collaborative project between SPREP, WildMe and the South Pacific Whale Research Consortium to record stranding and beachcast data for whales, dolphins and dugongs throughout the Pacific. We use a platform called Flukebook. An account is needed to view or use data within Flukebook but the data is available for download here. You can submit data direct into Flukebook (preferably while logged in) or send a completed data form to SPREP for upload. Guidance on using the database is available :
This dataset contains resources that link to Online Marshallese-English Dictionaries.
A 10-meter resolution land surface digital elevation model (DEM) and derived hillshade for the islands of Palau from United States Geological Survey (USGS) 1/3 arc-second DEM quadrangles.
Analysis of waste generation, recycling and disposal data collected in November 2019.
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.
SENTINEL-2 is a wide-swath, high-resolution, multi-spectral imaging mission, supporting Copernicus Land Monitoring studies, including the monitoring of vegetation, soil and water cover, as well as observation of inland waterways and coastal areas.
The SENTINEL-2 Multispectral Instrument (MSI) samples 13 spectral bands: four bands at 10 metres, six bands at 20 metres and three bands at 60 metres spatial resolution.