Running Automation To Capture Tree Metrics

Let the software automate the work. 

The need for efficient and accurate tree monitoring software has become increasingly important in recent years, as urban areas continue to expand and the value of trees in mitigating climate change is recognized. Traditional methods of tree monitoring, such as manual ground surveys or aerial imaging, can be time-consuming and costly. This has led to the development of faster and more versatile geospatial data toolkits that are revolutionizing the way we map tree properties. 

One major advantage of using a the Spacesium Spatial Analytics tree monitoring software is its ability to provide automated data. By utilizing satellite imagery or drones equipped with high-resolution sensors, these tools can capture detailed images of trees from above, allowing for rapid analysis of their growth patterns. This is particularly useful in urban areas where time is often limited and resources are scarce.

Additionally, these tools offer a more comprehensive view of tree properties than traditional methods. In addition to height and canopy coverage, they can also capture information on leaf density, crown shape, and even species identification. This wealth of information allows for a more complete understanding of the state and health of trees in any given area. Furthermore, utilizing geospatial data toolkits for tree monitoring provides a cost-effective solution compared to traditional methods. With advances in technology and automation processes, the cost involved in obtaining high-quality satellite imagery or using drones has significantly decreased over the years. This makes it accessible to a wider range of organizations and individuals who may not have had access to such resources before.

Another key benefit of these toolkits is their versatility. They can be used in various environments including urban areas, forests, or agricultural lands without any significant modifications needed. This flexibility makes them an invaluable resource not just for urban tree monitoring but also for other ecological applications. There is a growing need for faster tree monitoring methods due to the increasing importance placed on preserving our natural environment. The advent of versatile geospatial data toolkits has revolutionized the way we map tree properties, offering near real-time data, a more comprehensive view of trees, cost-effectiveness, and versatility. With these advanced tools, we can now monitor trees more efficiently and accurately in urban areas and beyond.

Here are some of the outputs of our Spatial Analytics toolbox.

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Dataset - Processed LiDAR point cloud (.las and .laz)

Location - North Brisbane, Australia

Sensor - DJI ZenMuse L1 

Hardware - DJI Matrice 350 RTK Enterprise Drone 

More details - https://prismatech.com.au/

Output - ESRI ArcMap shape files (.shp), CAD files (.dwg), Excel Export of metrics (.csv) and Report Map (.pdf or georeferenced pdf) 

Above

Dataset - Processed LiDAR point cloud (.las and .laz)

Location - St Louis, USA

Sensor - DJI ZenMuse L2

Hardware - DJI Matrice 350 RTK Enterprise Drone 

More details - https://prismatech.com.au/

Output - ESRI ArcMap shape files (.shp), CAD files (.dwg), Excel Export of metrics (.csv) and Report Map (.pdf or georeferenced pdf) 

Please reach out to our sales team for more details and data processing! https://www.spacesium.com/contact