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Multi-temporal analysis

Detailed overview of
the multi-temporal analysis tool

What is it?

Thanks to remote sensing, it is possible to obtain images of the same territory at certain intervals of time, which makes it possible to track the dynamics of changes in the observed processes.

The main advantages of data obtained through space imagery are their reliability, objectivity and independence from any subjective factors.

Multitemporal analysis can serve as a reliable source of important information for many agencies and enterprises.

The image shows Kanopus-V images for different periods of time. According to these data it is possible to identify the dynamics of crop development.

How a multi-temporal
analysis can help

Multi-temporal analysis is used to:

  • monitoring emergency situations;
  • monitoring changes in settlements and road networks for mapping purposes;
  • monitoring the condition of fields and crops in agribusiness;
  • monitoring changes in glaciers;
  • monitoring changes in urban development;
  • monitoring changes in the environmental sector;
  • monitoring of infrastructure changes in the oil and gas industry, etc.
Example of multi-temporal analysis performed in the IMC PC with Sentinel-2 satellite to the territory of Belarus.

Example of performing a multi-temporal analysis

In the IMC PC, multi-temporal analysis is performed in different ways, depending on the specific thematic task. The program complex has the ability to process a huge amount of data using parallel and distributed processing algorithms.

The most common methods of change detection on the terrain are:

  • subtraction of multi-temporal images;
  • obtaining multi-temporal indices;
  • color synthesis of multi-temporal images;
  • principal component analysis (PCA) method;
  • comparison of object classification results based on images of different dates;
  • sequential comparison of multi-temporal maps.
01 / 05
The image shows archive and current image after preliminary processing in IMC from Landsat-8 satellite in Kostroma region. Forest boundary mask was used on both images to solve the thematic task: multi-temporal analysis of forest areas.
The image shows the archive and current image after the territory analysis.
The resulting map with forest vegetation classification.
Generated report based on the results of the multi-temporal analysis.Сформированный отчет на основе полученных результатов разновременного анализа.