Edge Effect on Breeding Forest Birds Along a Power-Line Corridor

1982 ◽  
Vol 19 (2) ◽  
pp. 361 ◽  
Author(s):  
Roger L. Kroodsma
Keyword(s):  
Edge Effect ◽  
Power Line ◽  
Forest Birds ◽  
Power Line Corridor

UAV Low Altitude Photogrammetry for Power Line Inspection

2016 ◽  
Author(s):  
Yong Zhang ◽  
Xiuxiao Yuan ◽  
Yi Fang ◽  
Shiyu Chen
Keyword(s):  
Transmission Lines ◽  
Three Dimensional ◽  
Digital Camera ◽  
Point Clouds ◽  
Power Line ◽  
Epipolar Line ◽  
3D Point Clouds ◽  
Low Altitude ◽  
Power Line Corridor ◽  
Safety Inspections

When the distance between an obstacle and a power line is less than the discharge distance, a discharge arc can be generated, resulting in interruption of power supplies. Therefore, regular safety inspections are necessary to ensure safe operations of power grids. Tall vegetation and buildings are the key factors threatening the safe operation of extra high voltage transmission lines within a power line corridor. Manual or LiDAR based-inspections are time consuming and expensive. To make safety inspections more efficient and flexible, a low-altitude unmanned aerial vehicle remote-sensing platform equipped with optical digital camera was used to inspect power line corridors. We propose a semi-patch matching algorithm based on epipolar constraints using both correlation coefficient and the shape of its curve to extract three dimensional (3D) point clouds for a power line corridor. Virtual photography was used to transform the power line direction from approximately parallel to the epipolar line to approximately perpendicular to epipolar line to improve power line measurement accuracy. The distance between the power lines and the 3D point cloud is taken as a criterion for locating obstacles within the power line corridor automatically. Experimental results show that our proposed method is a reliable, cost effective and applicable way for practical power line inspection, and can locate obstacles within the power line corridor with measurement accuracies better than ±0.5 m.

Air temperatures in a power line corridor over 10 years following afforestation with Eucalyptus globulus

2010 ◽  
Vol 103 (3-4) ◽  
pp. 281-290
Author(s):  
J. A. Rodríguez-Suárez ◽  
B. Soto ◽  
R. Perez ◽  
F. Diaz-Fierros
Keyword(s):  
Eucalyptus Globulus ◽  
Power Line ◽  
Air Temperatures ◽  
Power Line Corridor

scholarly journals Toward automated power line corridor monitoring using advanced aircraft control and multisource feature fusion

2011 ◽  
Vol 29 (1) ◽  
pp. 4-24 ◽  
Author(s):  
Zhengrong Li ◽  
Troy S. Bruggemann ◽  
Jason J. Ford ◽  
Luis Mejias ◽  
Yuee Liu
Keyword(s):  
Feature Fusion ◽  
Power Line ◽  
Aircraft Control ◽  
Power Line Corridor

scholarly journals CLASSIFIER-FREE DETECTION OF POWER LINE PYLONS FROM POINT CLOUD DATA

2017 ◽  
Vol IV-4/W4 ◽  
pp. 81-87 ◽  
Author(s):  
M. Awrangjeb ◽  
M. K. Islam
Keyword(s):  
Point Cloud ◽  
Power Line ◽  
Point Cloud Data ◽  
Connected Component ◽  
Cloud Data ◽  
Symmetry Properties ◽  
Dense Point ◽  
Subsequent Step ◽  
Important Means ◽  
Power Line Corridor

High density airborne point cloud data has become an important means for modelling and maintenance of a power line corridor. Since, the amount of data in a dense point cloud is huge even in a small area, an automatic detection of pylons in the corridor can be a prerequisite for efficient and effective extraction of wires in a subsequent step. However, the existing solutions mostly overlook this important requirement by processing the whole data into one go, which nonetheless will hinder their applications to large areas. This paper presents a new pylon detection technique from point cloud data. First, the input point cloud is divided into ground and nonground points. The non-ground points within a specific low height region are used to generate a pylon mask, where pylons are found stand-alone, not connected with any wires. The candidate pylons are obtained using a connected component analysis in the mask, followed by a removal of trees by comparing area, shape and symmetry properties of trees and pylons. Finally, the parallelism property of wires with the line connecting pair of candidate pylons is exploited to remove trees that have the same area and shape properties as pylons. Experimental results show that the proposed technique provides a high pylon detection rate in terms of completeness (100 %) and correctness (100 %).

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