Monitoring changes in specific regions or areas of interest (ROI/AOI) over time using multi-temporal Earth Observation (EO) data involves a comprehensive approach that leverages various analysis techniques and datasets, including the following:

Data Acquisition and Integration Our platform acquires multi-temporal EO data from a range of open and commercial sources such as Sentinel-1, Sentinel-2, ASTER, Landsat-8, TerraSAR-X, and WorldView-3. By integrating consecutive data from these sources, we ensure comprehensive coverage of areas of interest, allowing for analysis of changes across different time scales and resolutions.

Change Detection Algorithms We apply advanced change detection algorithms to multi-temporal EO data to identify significant changes within specified ROIs. Techniques include pixel-based comparison and image differencing. For instance, change detection composites based on Sentinel-1 data utilize radar backscatter intensity and coherence (phase stability between two images), facilitating the identification of changes over time, such as land cover alterations or infrastructure developments. These composites are crucial for monitoring dynamic environments.

Temporal Analysis and Trend Monitoring Our platform conducts temporal analysis to track changes over time, examining the evolution of land cover, urban areas, forests, and infrastructure. This involves analyzing trends in vegetation indices, surface water extent, built-up areas, and other relevant parameters extracted from EO data. Time-series analysis techniques, including anomaly detection and trend analysis, are employed to identify gradual changes or sudden disruptions in the landscape.

DEM Analysis Calculating cumulative and partial differences between Digital Elevation Models (DEMs) offers significant advantages for environmental monitoring, urban planning, disaster management, and mining. This method quantifies terrain changes over time, aiding in the assessment of environmental impacts like erosion, deposition, and land subsidence. Creating a stack of DEMs with varied resolutions enhances understanding of landscape dynamics over longer periods. Time series and volume change calculations from DEM stacks enable quantitative assessment of terrain dynamics, supporting stakeholders in land management, infrastructure development, and disaster risk reduction. These adaptable methods offer a versatile toolkit for informed decision-making and proactive interventions in dynamic landscapes.

Reporting and Visualization You will receive regular reports or alerts highlighting significant changes detected within your ROIs. These reports include visualizations such as RGB composites, false-color images, and thematic maps displaying areas of change. For a more interactive experience, combine this service with our interactive online SaaS platform for Visualization of EO Data. This platform provides an interactive visualization service equipped with tools that allow you to easily find, explore, and interact with both public and your private analyzed data. Our intuitive, AI-powered, and natural human language-based user interface enables you to easily find your data and reports, visualize complex trends, discover hidden patterns, and identify hard-to-spot anomalies, empowering you to make informed decisions quickly. Access to the online platform is available as an optional service (billed monthly), with a 10% discount for annual subscriptions. In summary, our platform offers a robust solution for monitoring changes in specific regions using multi-temporal EO data, advanced change detection algorithms, temporal analysis, DEM analysis, and comprehensive reporting and visualization tools. This ensures you have the necessary insights to make informed decisions about your areas of interest.

AWS technology being used AWS EKS, AWS ECS, AWS S3, AWS Bedrock GenAI