Duncan James Hill, Martin Broderick
July 31, 2023
Why landowners, land managers and land developers choose Galago to manage their land effectively
Effective land management is essential for sustainable development, environmental conservation, and economic prosperity. In order to manage their lands more effectively, landowners, land managers, and developers need accurate and timely information about their land. That's when Galago's cutting-edge geospatial intelligence platform comes into play. This article explores the reasons why landowners, land managers, and land developers choose Galago.
For example, a land developer may be interested in building on a particular piece of land. With Galago, they can receive accurate information on the topography, soil composition, and other relevant factors, allowing them to make informed decisions about the feasibility of their project.
Galago can differentiate between invasive and non-invasive species to some extent. The platform uses high-resolution imagery and advanced algorithms to identify and map different types of vegetation, including invasive species.
The platform uses high-resolution imagery and advanced algorithms to identify and map different types of vegetation, including invasive species. By analysing the data generated by Galago, users can quickly identify areas where invasive species are present and take appropriate action to manage them. This can be particularly useful for landowners, conservationists, and other professionals who need to monitor and manage invasive species as part of their work.
“What’s exciting to me is how Galago combined the client’s big picture vision and their understanding of how to bring it to reality” Tom Cornuet, Senior Project and Program Manager
The platform also provides helpful prompts and instructions to guide users through the process of selecting areas of interest, analysing data, and generating reports.
There are many advanced features offered by Galago, including 3D modelling, change detection over time, and object recognition. Machine learning is a type of artificial intelligence that enables computer systems to learn from data, identify patterns, and make predictions or decisions without being explicitly programmed. Machine learning algorithms use statistical models to analyze data and identify patterns or relationships that can be used to make predictions or decisions.
“What we imagined in design driven database, you (Galago) made possible and have exceeded our expectations.” Ramon Brigantti, LTC, EN Commanding
For example, a land developer may be interested in monitoring the growth of a particular building or tracking changes in a particular area over time. Individual species or contaminated sites can be tracked over time. In fields such as sustainable land management, construction, road building, land development, mining, etc. this can be particularly useful for situational awareness, risk assessment and mitigation, land and biodiversity restoration. This is where detailed information on individual buildings, structures or species is critical.
The cost of launching a satellite, maintaining it, building and operating AI-powered drones, or finding the right experts is high. Galago offers a cost-effective alternative. By combining satellite and drone imagery with AI, Galago can provide accurate and timely information at a lower cost than traditional satellite or drone-based data collection methods.
“You have saved the project and the program millions of dollars.” Ramon Brigantti, LTC, EN Commanding
Galago uses high-resolution satellite imagery that can help conservationists and biodiversity managers identify and monitor different species, habitats, and ecosystems. The imagery and the reports are updated regularly, allowing users to track changes over time and identify potential threats to biodiversity.
Galago can provide conservationists or biodiversity restoration scientists with accurate information on species' health at a lower cost, which enables them to make informed decisions about how to manage the land in a more sustainable and efficient manner. This can be particularly useful for those who need to monitor and manage biodiversity in large areas or remote locations.
How does Galago compare to other geospatial intelligence platforms?
Galago is a relatively new geospatial intelligence platform, and as such, it is still emerging in the market. However, it has several unique features that set it apart from other geospatial intelligence platforms.
- First, Galago is designed to be user-friendly and accessible to a wide range of users. It has a simple and intuitive interface that allows users to easily navigate and analyse geospatial data. This makes it a valuable tool for landowners, farmers, and other non-experts who may not have extensive experience with geospatial data analysis.
- Galago provides high-quality, accurate, and timely geospatial intelligence by combining satellite imagery and drone imagery with artificial intelligence algorithms. With Galago, businesses can conduct bespoke situational analyses, monitor their land more effectively, identify areas of concern, assess and mitigate risks, and make more informed decisions about managing natural resources.
- Furthermore, Galago offers advanced features such as 3D modeling, change detection, and object recognition with AI. It is possible to identify and track specific objects or features over time with these features, as well as individual species or structures.
- Fourth, Galago's reports are highly customizable, allowing users to select specific areas of interest and receive detailed and actionable information on those areas. This makes it a valuable tool for landowners, project managers, and other stakeholders who need to monitor specific areas of land or natural resources.