From guesswork to precision: How Land Life uses remote sensing
When a landowner offers access to land for our carbon removal reforestation projects, our first question is: Can we successfully plant here?
Traditionally, this required multiple site visits and weeks of analysis. Today, our remote sensing dashboard answers this in minutes by pulling in layers of data on slope, elevation, climate, fire history, soil properties and land cover. In the background, the system analyzes multiple data layers to generate outputs – for example, identifying areas suitable or unsuitable for planting.
By simply uploading the project boundaries to the dashboard, useful decision-making information is generated within moments, enabling us to assess a range of factors including:
- Topography and slope: Are there areas too steep for planting?
- Elevation: Is the site within the range where trees can grow?
- Climate trends and projections (historical and future): What do 30 years of precipitation and temperature data tell us? When are the best planting seasons? When and how frequently did drought events occur? How often did irregular rainfall events occur?
- Fire history: How frequently and intensely have fires occurred in the area?
- Land cover: How much of the site is already forested or covered by vegetation?
One of the many significant capabilities we’ve developed is plantable area calculation. The system analyses the entire site, applies slope thresholds and land cover filters, and returns an exact percentage of plantable land. It also generates a map that visualises the location of plantable and non-plantable areas, along with an assessment of why some areas have been excluded for planting, such as steep slopes or existing vegetation.
Remote sensing highlights risks and potential planting areas, while our proprietary Carbon Modelling App, which is powered by our FastTrack model, predicts site-specific tree growth and long-term carbon sequestration. This combination ensures that each project is scientifically grounded, economically viable and planned for long-term success, minimising risks.