Abstract
This paper introduces an innovative concept for the use of multispectral stereo pair of satellite images to identify dangerous trees and plants along overhead transmission rights of way. Multispectral satellite images of the right of way are scanned automatically and the color (wavelength) of each pixel is analyzed. This scanning identifies healthy vegetation which may contain trees that endanger the line. Using multispectral stereo images, the height of each pixel is determined and the distance from the conductor is calculated. When this distance is less than the danger zone surrounding the conductors, the identified object or tree is assumed to endanger the line. Case studies using satellite images in the vicinity of Scottsdale, AZ and San Diego, CA demonstrate the feasibility of the proposed method. Details are given for prototype software development for satellite image scanning to determine tree interference with overhead transmission lines.
| Original language | English (US) |
|---|---|
| Pages (from-to) | 1703-1709 |
| Number of pages | 7 |
| Journal | IEEE Transactions on Power Delivery |
| Volume | 24 |
| Issue number | 3 |
| DOIs | |
| State | Published - 2009 |
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Keywords
- Overhead conductors
- Power transmission
- Satellite images
- Transmission engineering
- Tree trimming
ASJC Scopus subject areas
- Electrical and Electronic Engineering
- Energy Engineering and Power Technology
Cite this
The utilization of satellite images to identify trees endangering transmission lines. / Kobayashi, Yoshihiro; Karady, George G.; Heydt, Gerald Thomas; Olsen, Robert G.
In: IEEE Transactions on Power Delivery, Vol. 24, No. 3, 2009, p. 1703-1709.Research output: Contribution to journal › Article
}
TY - JOUR
T1 - The utilization of satellite images to identify trees endangering transmission lines
AU - Kobayashi, Yoshihiro
AU - Karady, George G.
AU - Heydt, Gerald Thomas
AU - Olsen, Robert G.
PY - 2009
Y1 - 2009
N2 - This paper introduces an innovative concept for the use of multispectral stereo pair of satellite images to identify dangerous trees and plants along overhead transmission rights of way. Multispectral satellite images of the right of way are scanned automatically and the color (wavelength) of each pixel is analyzed. This scanning identifies healthy vegetation which may contain trees that endanger the line. Using multispectral stereo images, the height of each pixel is determined and the distance from the conductor is calculated. When this distance is less than the danger zone surrounding the conductors, the identified object or tree is assumed to endanger the line. Case studies using satellite images in the vicinity of Scottsdale, AZ and San Diego, CA demonstrate the feasibility of the proposed method. Details are given for prototype software development for satellite image scanning to determine tree interference with overhead transmission lines.
AB - This paper introduces an innovative concept for the use of multispectral stereo pair of satellite images to identify dangerous trees and plants along overhead transmission rights of way. Multispectral satellite images of the right of way are scanned automatically and the color (wavelength) of each pixel is analyzed. This scanning identifies healthy vegetation which may contain trees that endanger the line. Using multispectral stereo images, the height of each pixel is determined and the distance from the conductor is calculated. When this distance is less than the danger zone surrounding the conductors, the identified object or tree is assumed to endanger the line. Case studies using satellite images in the vicinity of Scottsdale, AZ and San Diego, CA demonstrate the feasibility of the proposed method. Details are given for prototype software development for satellite image scanning to determine tree interference with overhead transmission lines.
KW - Overhead conductors
KW - Power transmission
KW - Satellite images
KW - Transmission engineering
KW - Tree trimming
UR - http://www.scopus.com/inward/record.url?scp=67650660629&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=67650660629&partnerID=8YFLogxK
U2 - 10.1109/TPWRD.2009.2022664
DO - 10.1109/TPWRD.2009.2022664
M3 - Article
AN - SCOPUS:67650660629
VL - 24
SP - 1703
EP - 1709
JO - IEEE Transactions on Power Delivery
JF - IEEE Transactions on Power Delivery
SN - 0885-8977
IS - 3
ER -