Wind farm terrain point cloud collection

----JOUAV CW-15LiDAR system application

Fengxin County, located in the northwest of Jiangxi Province, has a forest coverage rate of 64.46%. The area is rich in wind energy resources, the wind direction is stable and it is located on a windward slope, and there is no extreme weather. It is especially suitable for the construction of wind farms.

According to customer needs, this project collected 1:2000 point cloud results of wind farm site selection in Fengxin County, Jiangxi Province.

Project Challenge

?1. The undulating terrain has a height difference of more than 1200 meters.

The terrain of the survey area is mostly mountainous, with great height differences and perennial strong winds, resulting in a significant increase in the risk factor and the difficulty of data collection.

(Schematic diagram of the test area)

(Top view of the survey area)

2. The survey area is large, the operation area is scattered, and the construction period is short.

3. The vegetation in the survey area is dense, which makes it extremely difficult to measure the penetrability of LiDAR.

Workflow

According to the height, the survey area is divided into three areas: low, middle and high. A total of 6 sorties have been flown, including 2 sorties in the high area, 3 sorties in the middle area, and 1 sortie in the low area.

Data results

(Display by Altitude?400~1461 m)

Point density display (the average point density in the survey area is about 30)

DEM

Local contour map

Data analysis

Point cloud profile

Checkpoints were set up in the survey area and compared with the accuracy of point clouds, it was found that: under the condition of a large height difference of more than 1200 meters in the survey area, the error in the altitude?was only 0.104m, which was better than the current standard (in the current standard "Surveying and Mapping Industry of the People's Republic of China"). Standard (CH/T 8024-2011): Technical Specifications for Airborne Lidar Data Acquisition stipulates the error in the elevation of point cloud data: 0.35m for mountains and 0.50m for high mountains).