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Concise environmental legislative reviews of Pacific Island countries plus Tokelau. **Please submit new information or corrections as the reviews will be updated annually.**

## 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:

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.

Fiji’s marine ecosystems are worth FJ$2.5 billion per year—exceeding the country’s total export value. We are strongly committed to sustaining these values to build an equitable and prosperous blue economy

Available online

Call Number: [EL]

Physical Description: 88 p