Projects

ONGOING PROJECTS​

Aqua-Analytica is a web application that aims to bridge the gap between data-rich environmental insights and actionable decision-making. By seamlessly integrating diverse datasets and employing cutting-edge analytical techniques, it empowers users across various fields to better comprehend and manage freshwater resources.

Previous Projects​

Spatial Predictive Modelling App

Our team was contracted to develop an innovative spatial predictive model, addressing a significant gap in current geospatial analysis practices. While numerous powerful machine learning algorithms exist, many are not specifically tailored for spatial analysis and modeling. Analysts frequently encounter challenges when training and deploying machine learning models on complex geospatial datasets (e.g., vector and raster data) due to the intricate expertise required across multiple tools and programming skills. Our solution simplifies this complex process by integrating advanced machine learning capabilities into an intuitive, web-based application. This tool empowers users to perform sophisticated spatial modeling without the need for extensive technical knowledge, making advanced geospatial analysis more accessible .

Watershed Delineation Automation

In an exciting project, we have successfully streamlined and semi-automated the watershed delineation process, changing how we approach hydrological analyses. Our comprehensive package leverages geospatial analysis and utilises high-resolution satellite imagery and LiDAR DEM. This integration significantly accelerates the analysis while maintaining a high level of precision. The outcomes of this endeavor can potentially pave the way for extensive applications in critical domains such as water resource management, environmental conservation, and urban planning.

Sediment Delivery Risk Assessment

We participated in numerous hydrological analysis projects in collaboration with Land and Water Science Ltd, where we conducted hydrological analysis using LiDAR data across diverse regions in New Zealand. Our contributions were significant in providing valuable insights to aid in informed decision-making regarding environmental conservation and land management.

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