Our platform offers a comprehensive solution for conducting environmental impact assessments (EIAs) for various projects or developments. By leveraging Earth Observation (EO) data analysis, we provide detailed insights into the potential environmental impacts of activities such as construction, mining, or land-use changes. Our use of diverse data sources, including radar remote sensing imagery (Sentinel-1) and multispectral optical remote sensing imagery (Sentinel-2, ASTER, Landsat-8), ensures thorough coverage and analysis across different spatial and temporal scales.

Utilizing Unsupervised Clustering Analysis, our platform performs per-pixel analysis and unsupervised classification of satellite imagery within predefined regions of interest (ROIs). This process detects surface objects with similar geophysical properties, forming clusters that aid in identifying environmental changes over time.

Our Color Composite Single and Color Composite Pair functionalities provide visual representations of complex data, aiding in the intuitive interpretation and communication of findings to stakeholders. By creating RGB composite images from satellite imagery, we highlight changes over time, radar characteristics, and absolute radar values. This enables you to track, visualize, and understand the environmental impacts effectively.

Additionally, our Scalar Index feature offers valuable insights into specific environmental parameters such as vegetation health, soil moisture levels, and water quality. By calculating indices like the Normalized Difference Vegetation Index (NDVI), Normalized Difference Moisture Index (NDMI), and Normalized Difference Water Index (NDWI), we quantify environmental variables and monitor changes over time, facilitating the assessment of habitat loss, water quality changes, and other environmental risks.

Furthermore, our platform utilizes Principal Component Analysis (PCA) to transform original variables into uncorrelated principal components, capturing most variability in the data and aiding in efficient analysis and visualization. Resulting channels from PCA can be used for complex geoanalytic datasets, creating RGB composites like EcoSpectral for distinguishing urban areas, vegetation, and water bodies, or ASTER's False Color Composite, which highlights vegetation in red and urban areas in blue or gray.

Receive detailed reports outlining potential environmental risks based on our platform's analysis. These reports highlight key findings, helping you comply with regulatory requirements and minimize negative effects on the environment.

Processed data is delivered in a user-friendly format (PDF, GeoTIFFs) suitable for further analysis or visualization. Another option includes combining this service with an interactive online SaaS platform for Visualization of EOD. This platform provides an interactive visualization 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 may be ordered as an option (billed monthly), with a 10% discount applicable for annual subscriptions.

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