The conservation needs assessment areas from Department of Environment and Conservation (DEC: currently CEPA): When the original information is updated, the information displayed will be updated accordingly. Please contact CEPA for further detail.

This is visualized data of Year of gross forest cover loss event (lossyear) from Global Forest Change, University of Maryland: A disaggregation of total forest loss to annual time scales, representing loss detected primarily in the year 2001–2013, respectively.

The village points from National Statistical Office (NSO) from GeoBook published by University of PNG Remote Sensing Center are currently used. This village points have population information per unit. When the original information is updated, the information displayed will be updated accordingly.

The Local Level Government (LLG) boundaries from National Statistical Office (NSO) used for Census 2011 based on the information from National Mapping Bureau (NMB). When the original information is updated, the information displayed will be updated accordingly.

The country boundaries from National Statistical Office (NSO) used for Census 2011 based on the information from National Mapping Bureau (NMB). When the original information is updated, the information displayed will be updated accordingly.

This is enhanced image of Circa year 2000 Landsat 7 cloud-free image composite (first). Reference multispectral imagery from the first available year, typically 2000. If no cloud-free observations were available for year 2000, imagery was taken from the closest year with cloud-free data, within the range 1999–2012.

The existing protected areas from Department of Environment and Conservation (DEC: currently CEPA) created by Arthur Ganubella from the GIS Branch (2011): When the original information is updated, the information displayed will be updated accordingly. Please contact CEPA for further detail.

National Forest Inventory (NFI) pre-assessment data 2013 was developed by PNGFA with support of UN-REDD/FAO and EU/FAO programmes by utilizing the tool “Open Foris Collect Earth” (developed by FAO). This tool enables to collate all the available time-series data of hight-resolution satellites (Landsat) for human interpretation in a user-friendly and efficient manner.