Thumbnail Image

Agro-informatics Platform

How to perform land cover analysis







Marini, F. 2025. Agro-informatics Platform – How to perform land cover analysis. Rome.


Also available in:
No results found.

Related items

Showing items related by metadata.

  • Thumbnail Image
    Agro-informatics Platform
    How to use shapefiles
    2025
    Also available in:
    No results found.

    This guide explains how to display and analyse an ESRI shapefile on the FAO Agro-informatics Platform. Shapefiles are widely used in geographic information systems (GIS) to represent boundaries, regions, or other spatial features. By uploading a shapefile, you can bring your own geographic data into the platform and combine it with existing datasets for tailored analysis. Once displayed, your shapefile can be used to explore land cover, agricultural resources, or other thematic datasets available on the platform. This functionality allows you to visualize custom administrative units, project areas, or research zones, and to perform analysis – such as land-cover composition or statistical summaries – directly within your chosen boundaries. Using shapefiles in this way is particularly valuable for researchers, policymakers, and practitioners who need to analyse data for non-standard geographic areas, compare regions not included in default datasets, or integrate local knowledge into larger geospatial studies. It supports more precise, localized insights that can inform decision-making, monitoring, and planning.
  • Thumbnail Image
    Agro-informatics Platform
    How to perform time-series analysis
    2025
    Also available in:
    No results found.

    This guide introduces you to the process of performing time-series analysis on the FAO Agro-informatics Platform. Time-series analysis allows you to track how data evolve over time within a defined area, helping you identify patterns, trends, and changes that may not be visible in a single snapshot. By comparing data across different years or periods, you can gain valuable insights into long-term developments and their implications for agriculture, land use, and natural resources. With this guide, you will learn how to add datasets, select areas of interest, and generate time-series charts that display variations in key indicators over time. The platform also enables you to compare multiple areas, view data in tabular format, and sort results to better understand the dynamics at play. Whether your aim is to monitor land-use changes, evaluate the effectiveness of agricultural policies, assess the impact of climate variability, or support planning for sustainable development, time-series analysis provides a robust framework for evidence-based decision-making. This guide will help you take your first steps in applying these tools effectively on the platform.
  • Thumbnail Image
    Agro-informatics Platform
    How to use the time function
    2025
    Also 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.

Users also downloaded

Showing related downloaded files

No results found.