Journal of Geo-information Science ›› 2022, Vol. 24 ›› Issue (1): 165-175.doi: 10.12082/dqxxkx.2022.210655

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Effectiveness Evaluation Method of Tower-based Remote Sensing Videos

OU Geng1,2(), ZHOU Liangchen1,2, LIN Bingxian1,2, WANG Yang3, ZHOU Haiyang3, LV Guonian1,2,*()   

  1. 1. School of Geography Science, Nanjing Normal University, Nanjing 210046, China
    2. Jiangsu Center for Collaborative Innovation in Geographical Information Resource Development and Application, Nanjing 210023, China
    3. Nanjing Resources of Land Information Center, Nanjing 210008, China
  • Received:2021-10-21 Revised:2021-11-10 Online:2022-01-25 Published:2022-03-25
  • Contact: LV Guonian;
  • Supported by:
    National Key Research and Development Program of China(2017YFB0503500)


Taking the iron tower as the basic platform and using the cameras or other sensors on it to conduct near-surface observations is called tower-based remote sensing. Tower-based remote sensing is not easily affected by natural factors such as cloud occlusion and can obtain video information in real time around the clock. Tower-based remote sensing effectively fills the scale gap between aerial remote sensing and ground observation network, so it has been widely used in various fields. However, when it faces a large area of observation and complex missions, its actual application is usually constrained by the complicated terrain and the spatial resolution. How to evaluate its imaging effectiveness has become the key to the optimization of tower-based remote sensing platform in the future. This research analyzes the imaging characteristics and main occlusion factors of the tower-based remote sensing cameras and constructs its actual coverage analysis method. This research establishes a resolution grading system relying on the spatial resolution requirements of the main applications and clarifies the applicable areas of main applications based on the actual coverage and camera parameters to evaluate the availability. Taking the "smart eyes guarding the land" tower-based remote sensing video system in Jiangning district, Nanjing City as an example, the experimental analysis shows that this method can efficiently calculate the actual coverage range of the tower-based remote sensing cameras in a larger observation area and analyze the main type and proportion of obstructions. This method can clarify the actual spatial resolution of imaging in each area considering the zoom ability of the camera and evaluate the application effectiveness of the system. The existing tower-based remote sensing camera is severely blocked by the surrounding terrain and the tower itself, and the average coverage rate within 5km is only 3.20%. The tower itself causes 47.66% of the viewing angle to be blocked. The actual coverage of applications with extremely high and high resolution is better, but the rest applications’ coverage needs to be further optimized. Increasing the height of the camera, improving the zoom capability of the camera, and adding a circular track can effectively optimize the application effectiveness of the tower-based remote sensing camera. This method can provide support for future data acquisition and practical applications and be a reference for system evaluation and location optimization in the future.

Key words: tower-based remote sensing, imaging model, tower-based remote sensing cameras, data effectiveness evaluation, visible field analysis, imaging spatial resolution, sensor layout, smart eyes guarding the land