ENVIRONMENTAL TIME SERIES ANALYSIS
Monitor landscape changes with satellite data.
Visualise environmental shifts over time.
The Environmental Time Series Analysis is a powerful web app designed to support a wide range of environmental monitoring tasks. It can be used to track vegetation health, analyse deforestation, assess drought conditions, classify land cover, monitor the expansion of built-up areas, detect flooding events, evaluate forest fire risks, and track burned areas over time.
The current version of the Environmental Time Series Analysis focuses on monitoring NDVI and burned areas. To support this, the app provides two main Explorers with different visualisations:
NDVI Explorer: Includes the NDVI Time Series displaying average NDVI values per month, the NDVI Land Cover Explorer for detailed analysis by land cover class, and the NDVI Delta Map showing geospatial distributions of NDVI values by month.
Burned Area Explorer: The Burned Area Time Series shows trends in a graph per month, and the Burned Area Map Explorer displays the location and extent of burned areas across years.
Future versions of the app will also support additional indices, including NDMI (moisture), NDWI (water), NDBI (built-up), and EVI (for dense vegetation areas). NDVI, or Normalised Difference Vegetation Index, is commonly used to track changes in vegetation, particularly in protected areas.
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The Environmental Time Series Analysis Web App is a service that is part of our customisable Premium Plan.
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The NDVI Time Series reveals the seasonal dynamics of vegetation health within the selected region over a 12-month period. It highlights key trends and variations, offering insights into ecological patterns and changes. Higher NDVI values generally indicate denser, healthier vegetation, while lower values may reflect sparse growth, environmental stress, or land cover changes driven by factors such as drought, deforestation, or agricultural activity.
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The NDVI Land Cover Explorer offers insights into average NDVI values for specific land cover types within the area of interest. Users can track NDVI fluctuations throughout the year, observing peaks during growing seasons and declines during dry or dormant periods. This visualisation is ideal for agricultural monitoring, ecosystem assessments, and climate impact studies.
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The NDVI Delta Map visualises NDVI values across the selected region, with each pixel representing the value at a specific geographic location. This allows users to identify spatial patterns, detect anomalies, and compare NDVI values within the Area of Interest (AoI). Users can also calculate Delta NDVI, the difference between current and historical NDVI values for the same month. The Delta NDVI Heatmap highlights areas where vegetation health has improved or worsened compared to past years.
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The Burned Area Time Series reveals the seasonal dynamics of burned areas within the selected region over a 12-month period. It also shows the burned area up to the selected year, as well as the monthly averages up to that year. It highlights key trends and variations, offering insights into ecological patterns and changes.
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The Burned Area Map Explorer displays the location and extent of burned areas for a given month and compares them with the same period in the previous year. This allows users to identify spatial patterns, detect anomalies, and compare burned areas within the Area of Interest (AOI). A GeoJSON file of the burned area can also be downloaded.
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The NDVI data used in this project comes from Sentinel-2 satellite imagery, specifically the "COPERNICUS/S2_SR_HARMONIZED" dataset via Google Earth Engine. This dataset provides atmospherically corrected surface reflectance imagery, ideal for vegetation monitoring.
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CREDITS
The Evironmental Times Series Analysis App was developed by CorrelAid and Sensing Clues Foundation, and piloted in Zambia at the Mponda Dam Project by By Life Connected.