Remote Sensing for Power Line Corridor Surveys

Dear Colleagues,

Critical assets like power lines, oil and gas pipelines and transportation networks play a critical role in global economy. These assets span millions of kilometres in length and crossing both remote and dense urban areas and they become unoperational due to accidental  human activity, natural hazards or deliberate harm. Continuous observations of the critical assets and their surroundings can enable reliable operations, asset protection and  real time preventive maintenance. Fusion of optical satellite, visual and thermographic cameras, Synthetic Aperture Radar, and LiDAR data enables near real time detection of hazardous conditions. Machine learning techniques enables these assets’ reliability monitoring and automated identification of vegetation overgrowth, illegal construction in right of way, and natural hazard detection events (landslides and flooding). Future challenges brought by climate change will require development of new detection technologies and machine learning models on remote sensing imagery to increase power grid reliability, prevent power outages and to minimize the potential for wildfires.

We encourage submissions of original manuscripts, focusing on scalable and accurate power line corridor monitoring technology, including, but not limited to:

• Vegetation detection in power line corridors using optical satellite, SAR and LiDAR imagery
• Development of new imaging techniques including drones and autonomous vehicles
• Detection of hazard conditions around critical assets
• Remote sensing of infrastructure; pipeline, railways, power lines
• Integration of remote sensing data in outage prediction
• Multi-Sensor fusion for detection and anomaly identification

Dr. Levente Klein
Dr. Andre Dias
Dr. Mohammad Awrangjeb

Guest Editors

Manuscript Submission Information

Manuscripts should be submitted online at www.mdpi.com by registering and logging in to this website. Once you are registered, click here to go to the submission form. Manuscripts can be submitted until the deadline. All submissions that pass pre-check are peer-reviewed. Accepted papers will be published continuously in the journal (as soon as accepted) and will be listed together on the Special Issue website. Research articles, review articles as well as short communications are invited. For planned papers, a title and short abstract (about 250 words) can be sent to the Editorial Office for assessment.

Submitted manuscripts should not have been published previously, nor be under consideration for publication elsewhere (except conference proceedings papers). All manuscripts are thoroughly refereed through a single-anonymized peer-review process. A guide for authors and other relevant information for submission of manuscripts is available on the Instructions for Authors page. Remote Sensing is an international peer-reviewed open access semimonthly journal published by MDPI.

Please visit the Instructions for Authors page before submitting a manuscript. The Article Processing Charge (APC) for publication in this open access journal is 2700 CHF (Swiss Francs). Submitted papers should be well formatted and use good English. Authors may use MDPI's English editing service prior to publication or during author revisions.