6 results
 PNG Conservation and Environment Protection Authority

Vegetation land cover in Papua New Guinea

 Secretariat of the Pacific Regional Environment Programme

The UN Biodiversity Lab is an online platform that allows policymakers and other partners to access global data layers, upload and manipulate their own datasets, and query multiple datasets to provide key information on the Aichi Biodiversity Targets and nature-based Sustainable Development Goals.

 Pacific Data Hub

Communities in Fiji rely on provisioning services from landscape resources such as agricultural and forestry-related production, and climate regulation determined by the mix of landscape resources across space. Accurate mapping and monitoring of patterns of land use and land cover (LULC) over time at scales relevant to livelihood processes is important for informing landscape management, land use policies, and climate-smart sustainable development.

 Climate Change Directorate

Data herein has been reflected in the RMI State of Environment Report 2016 relating to the land cover of RMI.

 Pacific Data Hub

## Overview

A geospatial dataset of point geometries with a land use / land cover label and several remote-sensing derived predictor variables that can be used to train and test a land use / land cover classifier.

This dataset was generated with support from a Climate Change AI Innovation Grant and the Australian Centre for International Agricultural Research.

Each of the point geometries was assigned one of the following class labels:

 Pacific Data Hub

To evaluate land use and land cover (LULC) maps an independent and representative test dataset is required. Here, a test dataset was generated via stratified random sampling approach across all areas in Fiji not used to generate [training data](https://github.com/livelihoods-and-landscapes/ccai-data/tree/main/fiji-…) (i.e. all Tikinas which did not contain a training data point were valid for sampling to generate the test dataset). Following equation 13 in [Olofsson et al.