Precision monitoring
for biodiversity
Using machine learning to interpret remote sensing data in order to:
- Generate ecological assessments,
- Evaluate biodiversity and nature-based systems,
- Aid climate change adaptation in cities
RGBi Aerial Photography – © Bluesky International Limited
Precision monitoring for biodiversity
Using machine learning to interpret
remote sensing data to:
- Generate ecological assessments,
- Evaluate biodiversity and nature-based systems,
- Aid climate change adaptation in cities
RGBi Aerial Photography – © Bluesky International Limited
How do Gentian’s services help assess biodiversity?
The primary barrier to protecting biodiversity is understanding it. Traditional assessment methods are labour intensive, costly, hard to scale and lack transparency.
Gentian provides a way to quickly and accurately assess biodiversity over wide geographic areas. Our software as a service uses a proprietary remote sensing system that is focused on vegetation – accepted as the best way to quickly assess the condition of an area – to identify and measure its contribution to biodiversity.
⬇︎70%
*Since 1970, populations of mammals, birds, fish, reptiles and amphibians known to science have fallen by almost 70%.
⬆︎90%
Gentian leads in mapping, processing and monitoring biodiversity – fully automated and remote, we are quick and highly accurate.
150 million m2
Using the latest AI (deep learning) technology, Gentian has mapped over 150 million sq metres of habitat in the last 12 months.
Assessing urban green infrastructure and nature-based solutions
By combining deep learning and remote sensing technologies with ecology, Gentian puts knowledge into the hands of decision makers. Such knowledge provides decision makers with an understanding of ecosystem services and the value of these resources. Particularly in regard biodiversity and new requirements in terms of biodiversity net gain.
Other benefits that urban green infrastructure are important for are
- Cooling cities by reducing the urban heat island
- Reducing flood by risk storing stormwater
- Delivering health and well-being
- Ameliorating both noise and air pollution
- Creating liveable cities and increasing well-being
Using AI to assess different habitat types
Gentian apply fully trained AI algorithms to high resolution satellite images, to both recognise and separate the different habitat types in the targeted geographic zone.
By understanding the detail of functioning urban and rural green infrastructure existant in an assessed area provides land and real estate managers, sustainability and climate change officers, the tools to make better decisions.
In fact, Gentian can also identify where new nature-based solutions could be implemented to increase the provision of ecosystem services in an assessed area. Thus, providing increased resilience and biodiversity provision.
Gentian helps deliver more resilient urban and rural landscapes
Organisations we work with
