Yes, you can. We recommend that you have proper training and knowledge regarding drone operations and regulations. If you want good results, use quality drones made for professional services with high-resolution cameras; don’t use cheap consumer drones.
 
Another option is, of course, to use professional drone pilots to do the job. We have a large network of pilots we can recommend.

Current methods for inventory and analysis are most commonly sample-based and involve field personnel measuring trees and other forest parameters on-site. This is very time-consuming, costly, and prone to large measurement errors.
The effect of this is that important decisions about the forest and its environment are based on guestimates and not facts.
 
Conifer Visions' drone-based AI analysis provides outstanding accuracy on a tree level and offers unique benefits in terms of cost, flexibility, and detail for each step of the forest lifecykle from seedling to a mature trees.

Yes, we can. Our data can be seamlessly integrated with just about any customer forest management systems, GIS-systems or other forest application that holds your forest data.

Contact us to get available options.

Yes, you can. Currently, we offer a manual update option where you can access our data and input it into your plan yourself. We're also currently working on a digital integration solution that will allow for automatic updates, streamlining the process and saving you time. This upcoming feature will enable real-time synchronization, reduce errors, and make updates more efficient. 

 

Contact us to get available options.

Satellites only provide low-resolution images, resulting in mediocre species identification and statistics-based metrics. Satellites are pretty much applicable to grown trees and cannot detect plants or younger/smaller trees.
 
Drones are superior for detailed analysis on a local level, whereas satellites give superior coverage for macro-perspective analysis on a regional or country level.
 
Depending on your need for micro or macro analysis, you should consider using differnt technologies - satellite, lidar or drone photogrammetry. There usually is no such thing as one tool for all jobs!

LiDAR scanning can be used for grown trees measuring trunk height, trunk density and volume calculation. Species identification is mediocre due to a lack of detail, colour and contrast reproduction. Aeroplanes or helicopters carrying LIDAR have great coverage but are extremely expensive and complex to plan and deploy compared to drones. LIDAR is mostly applicable on grown trees and cannot detect plants or younger/smaller trees.
 
Depending on your need for micro or macro analysis, you should consider using differnt technologies - satellite, lidar or drone photogrammetry. There usually is no such thing as one tool for all jobs!

Traditional forest data collection methods like field surveys, aerial photography, and satellite imaging are slow and infrequent. Field surveys require manual measurements, taking weeks or months to complete. Aerial photography and satellite imaging provide broader coverage but are updated infrequently, often annually or less.

Drones offer near real-time data collection with high-resolution imagery that can be updated daily. This allows for quick detection of forest changes and prompt decision-making. AI analysis of drone data further enhances monitoring by automatically processing imagery to identify trees, measure characteristics, and detect potential threats.

This combination of drone technology and AI provides a level of detail and frequency in forest monitoring that traditional methods cannot match, enabling more efficient and timely forest management.

Our technology stands out through its unique combination of precision and scale. We've developed advanced AI models trained on a diverse range of trees, allowing us to measure individual trees with high accuracy while covering large areas. We maintain rigorous standards in photogrammetry, measurements, and AI training, never compromising on quality. Our solutions apply to the entire forest lifecycle, from seedlings to mature trees where most competitors focus on specific areas.
 

This blend of high-resolution analysis and large-scale applicability positions us as leaders in forest assessment technology, providing unparalleled insights into forest ecosystems.
 

Still not convinced? Contact us and we can explain.

Industry 4.0, which is synonymous with smart manufacturing, is the realization of the digital transformation of the field, delivering real-time decision making, enhanced productivity, flexibility and agility to revolutionize the way companies manufacture, improve and distribute their products. 
 

At Conifer we are integrating new technologies including Internet of Things (IoT), cloud computing, analytics, and AI and machine learning into forest operations. These digital technologies lead to increased automation, predictive analysis, self-optimization of process improvements and, above all, a new level of efficiencies and responsiveness to customers not previously possible.