Forestry Mapping Services Map and analyse larger areas in less time.

Birds' Eye View of the Entire Area

Dense forests cause visibility issues. Aerial views of forests provide a better perspective and a clearer view of the area. Planning access roads and walkways is easy when you no longer have to physically navigate the area.

Aerial images of trees show differences in health and density. Problems that aren't visible from a human perspective become apparent when you're above the tree line. After storms and damaging events, drone photography reveals damage that can be quickly repaired.

Monitor the Health of your Forest

Multispectral imaging gives insights into the health of individual trees and the forest as a whole. By finding areas that need fertilising, you can focus your efforts where they're needed.

Drones detect disease and pests earlier than the human eye. They can intervene before the problem is so bad that it becomes visible, saving trees at risk of failing.

LIDAR

Using drone LiDAR technology for mapping and analysing forestry is an innovative and efficient approach. LiDAR sensors on drones can capture precise and detailed data of the forest canopy and terrain, which is essential for forest management and planning. The LiDAR data can provide insights into the forest's height, density, and structure, allowing forestry professionals to assess the forest's health and identify areas that require attention.

Moreover, drone LiDAR can facilitate the identification of areas that have suffered from deforestation or other disturbances, enabling efficient restoration and conservation efforts. The use of drone LiDAR technology for forestry mapping and analysis can provide accurate and valuable information to decision-makers, resulting in better-informed decisions and more effective forest management. Here are some common applications of drone LiDAR in forestry:

Forest inventory:

Drone LiDAR can be used to rapidly and accurately inventory forests, providing detailed information on tree height, canopy density, and tree structure. This information can be used to assess forest health, monitor changes over time, and plan for sustainable forestry practices.

Tree height measurement:

One of the primary benefits of drone LiDAR in forestry is its ability to accurately measure tree height, even in dense forested areas. This information can be used to estimate biomass, predict timber volume, and assess the potential for wind damage or other hazards.

Canopy density mapping:

Drone LiDAR can generate detailed maps of canopy density, which can be used to identify areas of high tree cover or areas where thinning or other forestry practices may be necessary.

Forest health assessment:

Drone LiDAR can be used to identify areas of forest that may be experiencing stress or disease, by detecting changes in tree height or canopy density. This information can be used to develop targeted intervention strategies and manage forest health.

Carbon sequestration estimation:

Drone LiDAR can be used to estimate carbon sequestration potential in forests, by measuring tree height, canopy density, and biomass. This information can be used to support carbon credit trading and other conservation initiatives.

Multispectral

Drone multispectral cameras are revolutionizing the way we map and analyze forestry. By using sensors that can detect light beyond the visible spectrum, these cameras capture detailed information about the health and growth of trees, allowing us to better understand and manage forest ecosystems.

Multispectral imaging can identify different types of vegetation, as well as areas of stress or damage caused by pests, diseases, or environmental factors. This information can be used to create high-resolution maps, monitor changes over time, and make informed decisions about forest management practices. With the ability to cover large areas quickly and safely, drones equipped with multispectral cameras are a valuable tool for forestry professionals seeking to optimize the health and productivity of our forests. Drone multispectral imagery can be used in forestry for a variety of purposes, including:

Forest inventory:

Drone multispectral imagery can be used to create high-resolution maps of forests that provide information on tree height, crown diameter, stem density, and species composition. This information can help forestry managers make better decisions about forest management and planning.

Disease and pest detection:

Multispectral imagery can be used to detect early signs of forest pests and diseases, such as bark beetles or fungi. This can help prevent the spread of these problems, and enable targeted treatment before a large scale damage occurs.

Forest health assessment:

Multispectral imagery can be used to assess the overall health of a forest by providing data on the health of individual trees, such as their chlorophyll content or leaf area. By analyzing this data, forestry managers can identify areas of the forest that may need attention, such as those experiencing stress due to drought or other environmental factors.

Timber yield estimation:

Drone multispectral imagery can be used to estimate the volume of timber in a forest, which is important for planning and monitoring harvests. This can help forestry managers make better decisions about when and where to harvest, and ensure that the forest remains healthy and sustainable.