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Agro-informatics Platform
How to perform land cover analysis
2025Also available in:
No results found.This guide introduces you to the process of performing land-cover analysis using the FAO Agro-informatics Platform. Land-cover analysis allows you to examine how different types of land use and land cover – such as forests, croplands, water bodies, and urban areas – are distributed within a specific geographic area. By visualizing and quantifying these patterns, you can better understand the environmental and agricultural context of a region. Through this guide, you will learn how to add relevant datasets, define areas of interest, and generate visual outputs such as pie charts and tables that summarize the composition of land cover in your selected area. The platform also enables you to download and further explore these results for use in research, planning, and decision-making. Whether your goal is to assess natural resources, support sustainable agricultural planning, monitor land-use change, or inform policy, this guide will provide you with a clear framework to get started. It is designed to give you a practical, step-by-step pathway to carry out your first land-cover analysis and explore the insights such analysis can bring. -
Agro-informatics Platform
Application programming interface: everything you need to know
2025Also available in:
No results found.This guide provides a clear and accessible overview of application programming interfaces (APIs) and their role within the FAO Agro-informatics Platform. APIs are the backbone of digital communication between applications, enabling the exchange of data and services across systems. Every time you retrieve, visualize, or integrate information on the platform, APIs are at work behind the scenes. By reading this guide, you will understand what an API is, how it functions, and why it is central to the design of the Agro-informatics Platform. You will also learn about the different types of APIs – such as REST and SOAP – and the standard protocols that ensure smooth integration of diverse datasets, including those from external sources. Acquiring this knowledge is especially useful for users who want to go beyond the surface of the platform: developers aiming to connect their own datasets, analysts integrating external services, or practitioners who simply want to understand how the platform brings together information from multiple sources. Ultimately, this guide will help you see how APIs make the Agro-informatics Platform more than a static tool – it is a dynamic hub for interoperable data, enabling stronger analysis, collaboration, and innovation. -
Agro-informatics Platform
How to use the time function
2025Also available in:
No results found.This guide introduces the time function of the FAO Agro-informatics Platform. The time function allows you to explore how data points evolve over a selected period, making it possible to analyse temporal dynamics directly on the map. By enabling or disabling the time dimension, you can either view all available data points at once or focus on specific time intervals to better understand change over time. This feature is particularly useful for datasets that include point-based information – such as agricultural observations, climate-related records, or socioeconomic indicators – where understanding when events occur is as important as where they occur. With the time function, you can trace developments, identify trends, and assess variations across different timeframes. Using this functionality can support monitoring, research, and planning activities. For example, it can help identify seasonal cycles, detect anomalies, or evaluate the impact of interventions over time. The time function thus provides a dynamic and flexible way to connect spatial data with temporal insights, enhancing evidence-based decision-making.
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