Livelihoods and Landscapes

geospatial applications to enhance sustainability in Pacific Island landscape and seascape systems

Livelihoods and Landscapes

Geospatial applications for climate-smart landscape management

Using a collaborative information and communications technology for development (ICT4D) process, we are developing open-source applications to map diverse landscapes and seascapes.

This project is funded by the Australian Centre for International Agricultural Research (ACIAR) and is a collaboration between stakeholders in Fiji, Tonga, Australia, and New Zealand.

Mapping landscapes using machine learning, satellite images, and in-the-field data collection with mobile GIS.


In Pacific Island Countries, the environmental resources that support livelihoods are distributed across landscapes in a mix of spatial patterns. Capturing this spatial detail in landscape use is important to inform landscape management that is sensitive to these livelihood dependencies.

This research is using a collaborative software development methodology (ICT4D) to:

  • develop a workflow and geospatial apps to map and monitor landscapes.
  • build the capacity of landscape stakeholders to use GIS and geospatial data for landscape management.

An open-source workflow to map diverse landscaes

In The Field

Map landscapes with mobile GIS.

In The Cloud

Server-side apps and databases to sync data collected on mobile devices.

On Your Desktop

Use dashboards to analyse and visualise landscape data collected in-the-field.

At Scale

Use satellite images and machine learning to monitor inter-annual landscape dynamics.


Livelihoods and Landscapes

Understanding links between livelihoods, landscapes, and environmental stressors in Pacific Island Countries.

Livelihoods and Landscapes

Use Cases

Examples of how geospatial applications developed through this project are being used in Fiji and Tonga.

Use Cases

Geospatial Apps

An overview of applications and software developed for monitoring and mapping landscape resources.


Training and capacity building

We develop training materials and deliver workshops to build the capacity of landscape stakeholders to use GIS applications to collect geospatial data and support landscape decision making and management.

All training materials and tutorials used in these workshops are freely available online.

Training Website

We have run training sessions and workshops with officials from government ministries, NGOs, and other landscape stakeholders. Workshops covered the following tools and topics.

Land Cover Mapping

using Google Earth Engine, Sentinel-2 data, and machine learning to generate land cover maps

Mobile GIS Data Collection

using QField to collect geospatial data in the field and map agricultural and forest landscapes

QField tutorials
Spatial Data Analysis

using spatial dashboards to process and visualise data collected in the field using mobile GIS

map.landscape dashboard
Ground Truth Data Collection

using mobile and desktop GIS to collect ground truth data to train and evaluate machine learning models that predict landscape-scale land cover

Ground truth tutorials

Training in action

Land cover mapping using Google Earth Engine, MAFF Tongatapu.

In-the-field workshop using QField to map and survey farms, MAFF Tongatapu.

Using mobile GIS to collect ground truth data for land cover maps, Ministry of Forest, Fiji.


Pacific Data Hub

Datasets and publications generated through this project will be posted to the Pacific Data Hub


Livelihoods and Landscapes on Pacific Data Hub


All software developed through this project will be published to our GitHub organisation page.

Livelihoods and Landscapes on GitHub

Blogs and News

Conferences and Workshops