The environmental assets most affected by Cyclone Evan were the lowland forest areas on the southern coast of Upolu. Damage to these assets are expected to result in substantial production losses to the water, forestry, and tourism sectors in particular, as well as cause harm to biodiversity in these areas.
*data extracted from PDNA Evan 2012, pg 91*
The agriculture and fisheries sectors sustained significant damage and loss. The worst hit agricultural areas are the southwest, central, and southern parts and the central highlands of Upolu island.
*data extracted from PDNA Evan 2012 report, pg 18 *
It has been found that 55 percent of disaster effects fall within public sector ownership, while the remaining 45
percent of effects are within private enterprises and individual ownership
Resource contains raster files for a Digital Elevation Model (DEM) and derived hillshade for Samoa.
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).
This dataset holds the 'Water and Sanitation" sector plans for Samoa;
* Water Sector Plan and Framework for Action (2008/9-2011/12)
* Water and Sanitation Sector Plan 2012 - 2016 + Samoan version
* Water and Sanitation Sector Plan : Framework for Action 2016 - 2020
Excel Data herein were extracted from the above reports
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.
The overall goal of the Hybrid Survey (HS) project is to provide Vanuatu statistical systems with an affordable means and methodology to regularly collect statistics across key social and economic sectors, to derive indicators that would provide Vanuatu Government and their development partners with a core set of statistics to facilitate evidence-based policy development and planning, to monitor development progress and measure policy performance, and ultimately to describe development impact.
The survey provides statistically sound and internationally comparable data essential for developing evidence-based policies and programmes, and for monitoring progress toward national goals and global commitments.
The Kiribati Social Development Indicator Survey (SDIS) results are critically important for the purposes of Sustainable Development Goal (SDG) monitoring, as the survey produces information on 32 global SDG indicators adopted by the National Development Indicators framework, either in their entirety or partially.
The Tonga Multiple Indicator Cluster Survey (MICS) was conducted in 2019 by the Tonga Statistics Department in collaboration with Ministry of Health with technical support of Ministry of Internal Affairs – Women’s Affairs and Gender Equality Division (WAGED) and other key Government Ministries UNICEF, UNFPA, the Pacific Community (SPC) and other partners. The survey provides statistically sound and internationally comparable data essential for developing evidence-based policies and programs, and for monitoring progress toward national goals and global commitments.