Forests play a vital role in global sustainability, biodiversity conservation and climate change mitigation. However, agricultural expansion for the production of commodities such as palm oil, cocoa, coffee and livestock remains one of the main drivers of deforestation. To address this challenge, FAO’s Transparent Supply Chains Monitoring workstream develops data-driven approaches to promote sustainable land use, enhance transparency across supply chains, and support compliance with international sustainability standards.
Through a combination of cutting-edge geospatial analysis, digital public infrastructure, and multi-stakeholder collaboration, we aim to create solutions that drive positive change. Our work aligns with global policy frameworks, including the Sustainable Development Goals (SDGs), the Paris Agreement, and the EUDR, ensuring that Transparent supply chains monitoring remains a cornerstone of forest conservation and responsible trade.
Open Foris Ground is an open-source, map-first data collection platform co-developed by Food and Agriculture Organization (FAO) and Google, which consists of a web console and an Android app, under the AIM4Commodities program.
Open Foris Ground enables non-technical users to easily create surveys and collect georeferenced field data.
It supports offline data entry with automatic syncing and provides real-time visualization through a web dashboard, where data can be downloaded in CSV or GeoJSON formats.
Numerous publicly available Earth Observation maps provide data on forests, land use, and tree cover. However, these maps often differ because they use various definitions and classification systems. As a result, no single map can provide a complete picture of any specific area. To address this issue, the Forest Data Partnership (FDaP) and the AIM4Forests Programme advocate for the Convergence of Evidence approach.
By analysing several data sets together, stakeholders can build a more accurate picture of what’s likely happening in a given location. This approach provides a more comprehensive and reliable view of forest and land use changes over time.
Whisp is developed under the AIM4Commodities commodities program - Accelerating Innovative Monitoring for Forests and Commodities.
A Digital Public Infrastructure (DPI) refers to a collection of technological components powered by interoperable open standards and specifications. These components are managed within a framework of enabling rules and governed in an open, transparent, and participatory manner. A DPI is designed to foster innovation, inclusivity, and competition on a large scale, providing essential digital tools and systems that enhance accessibility and efficiency across various sectors.
FAO is partnering with SAFE, the Forest Data Partnership (FDaP), the Linux Foundation, the AIM4Forests Programme, and other key stakeholders to develop a DPI prototype. This infrastructure supports smallholder farmers and their organisations in meeting the EU Deforestation Regulation (EUDR) requirements through open-access digital tools and standards. By integrating critical technologies such as field boundary mapping, forest monitoring, and traceability systems, DPI enables farmers to comply with regulations while promoting transparency and sustainability in agricultural supply chains.
![]()
![]()
![]()
![]()
![]()
Boundaries
Unique Geo-IDs
Public Geodata
Public Models
Compliance Support
Check the Open Foris Ground Guide to learn step by step how to design surveys, collect data offline, and visualise results in the web console.
The Food and Agriculture Organization of the United Nations (FAO) drives the development of a pre-competitive digital public infrastructure to support compliance on aspects of the trade regulations related to forest monitoring.
This course describes the growing challenges of field data collection and the use of open-source solutions like Open Foris Ground. In this course, you will learn Open Foris Ground's key features and how it can be used to address the data collection needs of various users in different contexts.