The folder contains spatial data in Geojson format for Tonga Volcanic Eruption Damage Assessment Analysis - Atata Island, Fonifua Island, Mango Island and Nomuka Island acquired from UNOSTAT. Datasets available are Structures impacted (Points), Analysis Extent (Polygon), Cloud obstruction (Polygon) and Shoreline (Lines) which are derived from the Pleiades , Kompsat 3 and World View 3 Sensors.
The Institute for Marine Remote Sensing (IMaRS) at the University of South Florida (USF) was funded by the Oceanography Program of the National Aeronautics and Space Administration (NASA) to provide an exhaustive worldwide inventory of coral reefs using high-resolution satellite imagery. By using a consistent dataset of high-resolution (30 meter) multispectral Landsat 7 images acquired between 1999 and 2002, USF characterized, mapped and estimated the extent of shallow coral reef ecosystems in the main coral reef provinces (Caribbean-Atlantic, Pacific, Indo-Pacific, Red Sea).
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.
GIS survey exercise to weather radar as part of the training in Port-Vila with SPREP team.
Fisheries GIS Exercise as part of the training in Port Vila
Visitation to Radar site to do GIS Survey practical for SPREP GIS and Data Management training 26th June 2024.
This GIS survey is combine different departments of Vanuatu government and institutions (USP and NUV).
The National Environment Service worked closely with family representatives of the Takitumu Conservation Area, to submit an assessment application that will gave the TCA official international recognition as an Other Effective area-based Conservation Measure (OECM).
All documents relevant to the submission process will be stored here, including resources on the TCA, which are referred to in the assessment form.
The TCA was launched as the Cook Islands' first OECM on International Biodiversity Day 2024 (22 May 2024)
This map was created using QGIS, and was developed using a map that was based on the original survey department map