The Yunnan Bureau of Nonferrous Geology used CW-25E to collect laser point cloud and orthophoto data of 950km² of forest in Yunnan Province, China, in just 8 hours. The captured 3D point cloud data help forestry workers gain insight into the health of the forest and prevent forest fires. So far, the CW-25E lidar has accumulated 53 sorties and 116 hours of flight time.

CW-25E equipped with LiDAR are doing forest survey

The Yunnan Provincial Bureau of Non-Ferrous Geology, a government organization that manages 424 million acres of forest in the province, started going back in 2020 to find out what drones could do. They noticed that drones had already been used successfully in China for environmental monitoring missions, and even some of their counterparts were already using them for forestry management.

This new technology sparked their interest because they had to update maps of their forests every year. But the sheer size of the natural woodlands made the project very labor-intensive, resulting in time-consuming, tedious, and error-prone manual estimates for staff.

Understand the needs of Yunnan Nonferrous Geology Bureau

Understand the needs of the Yunnan Nonferrous Geology Bureau

"We hope that using drones will improve the efficiency of forestry surveys, lower the cost of forestry surveys, and reduce the work intensity and risk of manual surveys. At the same time, we also hope that by using drones we can improve the information level of our forest management. Obviously, this is a very complex system project and it's not as simple as buying a few drones to fly and photograph," said Li Wei, the project manager of Yunnan Nonferrous Geology Bureau.

CW-25E with JoLiDAR-LR22S

When Yunnan Nonferrous Geology Bureau initially conducted market research, they already knew that JOUAV's CW-25E was known for its quality and reliability. But they wanted to make sure that JOUAV's solution would meet their actual needs, and in the process, they also evaluated the technical capability and responsiveness of the vendor's support and services. For them, drone surveying for forest management is a complex, long-term, and continuous improvement effort, and if the supplier is simply trying to sell equipment, it won't meet their requirements.

"During the process, we actually recognized the CW-25E's long-established reputation in the industry for product reliability, and that it is a drone that can truly be used to work continuously for long periods of time. At the same time, we were impressed by JOUAV's motivation and enthusiasm to provide support and service to our customers. We were impressed by JOUAV's enthusiasm to provide support and service to our customers. During the field test, JOUAV's technical support staff was always on-site working with our forest workers, understanding the work of our forestry survey, discussing and trying out reasonable flight methods with us, and training our forestry staff on operation", said Li Wei.

Learn how Yunnan Nonferrous Geology Bureau used CW-25E

Learn how Yunnan Nonferrous Geology Bureau used CW-25E

In September this year, Yunnan Nonferrous Geology Bureau used JOUAV CW-25E with JoLiDAR-LR22S LiDAR system to collect 950km² of forest area in Yunnan Province in only 480 minutes, saving a lot of time, and money and reducing the risk of the manual survey. Let's move on to see how they use benefits from CW-25E.

Because of the complicated terrain with many mountains, high voltage pylons, and woods along the way, Yunnan Nonferrous Geology Bureau used the CW-23E in a combination of terrain-following flight and level flight mode to ensure flight efficiency and data accuracy. In the face of the 950km² forest area, CW-25E used the relay flight mode to carry out 4 sorties, with a maximum flight time of 135 minutes per sortie, covering an area of 25km². The CW-25E was equipped with a JoLiDAR-LR22S LiDAR scanner, which collected 3D coordinates of the ground and its vegetation along with orthophoto data.

Flight route planning of Yunnan forest survey

The flight route planning

After the flight, a 3D model is generated through post-processing software, which accurately reproduces the forestry environment. With these 3D models, our foresters can quickly extract accurate indicators of tree height, diameter, volume, and number, which can be used to analyze the health of vegetation, monitor soil contamination, and prevent forest fires. They also generate Digital Line Graphs (DLG) at a scale of 1:2000 based on the acquired 3D point cloud data.

grid-image

3D point cloud

grid-image

DEM

grid-image

DLG

Learn how manual inspection was practiced in the past

Learn how manual survey was practiced in the past

Before using drones, the Yunnan Bureau of Non-ferrous Geology relied heavily on manual surveys to collect information on forest land. For the rugged mountainous terrain, forestry staff had to carry heavy measuring equipment and collect data on foot. Sometimes one person could only cover an area of 5-7 kilometers a day, which was relatively inefficient. Moreover, the poisonous snakes and insects in the dense forest and the rugged mountain roads can sometimes bring danger to the lives of the inspectors. After using CW-25E drone inspection, one inspection team of 4 people, depending on the weather and terrain, can complete the forest survey of about 800km² per day, including equipment maintenance, flight preparation, and data analysis work time, an average of 15,000km² forest survey can be completed each month, the efficiency of the survey has increased by 100 times compared to the traditional manual survey.

Li Wei commented, "The improvement in mapping efficiency allows us to detect and deal with vegetation pests and diseases in a more timely manner. The data collected by drones is much more accurate than manual measurements, which supports better forestry programs and will reduce the cost of forestry management in the long run.

Other applications of the drone

Other applications of drones

The team from Yunnan Nonferrous Geology Bureau found other drone applications besides forestry surveys. Installing dual thermal imaging sensors with AI capabilities, the CW-25E can conduct day and night patrols to see if vegetation is being cut indiscriminately and scan for potential threats to wildlife. In the event of a forest fire, like the Qinghai forest fire, the drone can transmit images of the fire back to the command center in real time to help first responders arrange and dispatch rescuers.

Share :
More Use Cases
thumbnail
Guangdong Police Dept is increasingly using AI drones to monitor port areas and coastal areas. This involves not only surveillance to combat contraband smuggling, but also providing aerial assistance
thumbnail
China, the largest producer of marine fisheries in the world, has a long coastline and a huge marine fishing fleet. China has always attached great importance to the conservation and sustainable use o
thumbnail
The Jinsha River, as the upper reaches of the Yangtze River, flows through four provinces including Qinghai, Tibet, Sichuan, and Yunnan in western China. On Oct. 11, 2018, a large-scale landslide occu