PNG is endowed with rich natural resources and culture and is known as one of the cultural and mega biodiversity hotspots globally. Located on the eastern part of the island of New Guinea, PNG contains roughly 1 percent of the global landmass, with four major islands and over 600 islands and atolls. PNG also has one of the diverse reef system in the world and has a total of 3.12 square kilometers of economic exclusive zone (EEZ) of marine territory. Over 840 spoken languages exist and spoken by over 1000 different tribes.
Global climate change initiatives to reduce emissions from avoided deforestation and degradation (REDD) represent both a threat and opportunity for the Malaysian logging corporation ‘Rimbunan Hijau’, the largest forestry operator in Papua New Guinea. Although Reducing Emissions from Deforestation and forest Degradation in developing countries is first and foremost a climate change mitigation option, it also has the potential to generate benefits for indigenous and local communities (UNEP 2010).
Link to download a zip file containing OSM spatial files, a QGIS project, styles, license file and documentation on how to get started.
This dataset contains mapped point locations for protected areas within Papua New Guinea. This dataset should be viewed in combination with the World Database on Protected Areas polygon locations to get a comprehensive view of all protected areas within Papua New Guinea.
This dataset contains mapped polygon locations for protected areas within Papua New Guinea. This dataset should be viewed in combination with the World Database on Protected Areas point locations to get a comprehensive view of all protected areas within Papua New Guinea.
Resource contains raster files for a Digital Elevation Model (DEM) and derived hillshade for Papua New Guinea.
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 resource contains 30-meter resolution satellite imagery for Papua New Guinea. The imagery was collected during the years 2018-2020 from the Landsat-8 satellite. Images were selected for their visibility, however there is cloud cover present in the final images due to the size of Papua New Guinea and availability of datasets. This imagery should be used for guidance only and cited as "Landsat-8 image courtesy of the U.S. Geological Survey" if used in any presentations or other work.
This [Environmental Impact Statement](https://www.wafigolpujv.com/eis987654321), including the Executive Summary, and all chapters of and attachments and appendices to it and all drawings, plans, models, designs, specifications, reports, photographs, surveys, calculations and other data and information in any format contained and/or referenced in it, is together with this disclaimer referred to as the “EIS”.
The outcomes of the PRotected Area Forum (PAF) is that the forum will enable protected area practitioners, researchers, academics, private sector, potential donors and local communities who manage or support protected areas in PNG, to share their experiences, insights and any lessons learnt in relation to factors impacting protected areas. It will identify and formulate national priorities for effective protected area management in the country. The results of the forum will contribute to the implementation of the Protected Area Policy.
This zip-file contains the setup file to install QGIS software version 3.4, for a 32 bit system.
Zip file contains a video explaining how to add a dataset for logged-in users
Zip file contains a video explaining how to add additional information for logged-in users.
Zip file contains a video demonstrating a national data portal.
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.
The Global Mangrove Watch (GMW) is a collaboration between Aberystwyth University (U.K.), solo Earth Observation (soloEO; Japan), Wetlands International the World Conservation Monitoring Centre (UNEP-WCMC) and the Japan Aerospace Exploration Agency (JAXA).
This dataset shows the global distribution of seamounts and knolls identified using global bathymetric data at 30 arc-sec resolution. A total of 33,452 seamounts and 138,412 knolls were identified, representing the largest global set of identified seamounts and knolls to date. Seamount habitat was found to constitute approximately 4.7% of the ocean floor, whilst knolls covered 16.3%.
The research leading to these results received funding from the European Community’s Seventh Framework Programme, and from the International Union for Conservation of Nature (IUCN).
The Smithsonian Institution's Global Volcanism Program (GVP) is housed in the Department of Mineral Sciences, National Museum of Natural History, in Washington D.C. We are devoted to a better understanding of Earth's active volcanoes and their eruptions during the last 10,000 years.
The Global Mangrove Watch (GMW) is a collaboration between Aberystwyth University (U.K.), solo Earth Observation (soloEO; Japan), Wetlands International the World Conservation Monitoring Centre (UNEP-WCMC) and the Japan Aerospace Exploration Agency (JAXA).
Reefs at Risk Revisited is a high-resolution update of the original global analysis, Reefs at Risk: A Map-Based Indicator of Threats to the World’s Coral Reefs. Reefs at Risk Revisited uses a global map of coral reefs at 500-m resolution, which is 64 times more detailed than the 4-km resolution map used in the 1998 analysis, and benefits from improvements in many global data sets used to evaluate threats to reefs (most threat data are at 1 km resolution, which is 16 times more detailed than those used in the 1998 analysis).