A Comparison of Remote Sensing Techniques for Centreline and Weld Mapping in Place of Manual Survey in Hazardous Environments

Author(s):  
Joseph Hlady ◽  
Dana Sands ◽  
Lance Fugate

Abstract Many places where pipelines are built have soil, basal material and water table conditions which can create suboptimal environments for centerline as-builting and weld mapping. Furthermore, ditches containing multiple pipelines can make as-built and weld mapping particularly complex especially when the pipes are of varying sizes. The complexity of the laying in of multiple pipes may also result in the ditch being exposed longer than desired, enabling further deterioration of ditch conditions and even flooding. At times, circumstances can become so hazardous that manual survey of the pipeline centerline can only be completed while the pipe is outside of the ditch (requiring a transposition) and a variety of survey techniques must be used to capture the centreline locations. Surveying at a distance from the pipes can make verification to weld mapping and field inspection problematic. Recent advancements in remote sensing, particularly mobile LiDAR and imagery collection technology, have lowered collection and processing costs and expanded the applicability of the technology to complex collection environments and harsh conditions on pipeline construction rights-of-way. Additionally, there has been a marked improvement in overall data accuracy and precision from mobile mapping systems. Up until recently, these technologies have only been useful in static construction environments where periods of inactivity during construction afforded the time to set up and collect data in a safe and accurate manner. New remote sensing systems, designed for more rugged, fast-paced, and complex environments are expanding the use of mobile remote sensing to the pipeline construction right of way. These mobile mapping technologies have significant advantages over drone collected data particularly with respect to the logistics of the data collection. Recently, advanced mobile mapping technology was employed on various pipeline construction projects and the accuracy of LiDAR and imagery collection for centerline as-builting and weld mapping was assessed. Some of the project locations were in areas where the traditional manual collection of data could be deemed hazardous or unsafe. This paper evaluates the collection technique against the traditional methods used under hazardous or inaccessible conditions and discusses the benefits of mobile remote sensing for this scenario. The authors also provide an analysis of the remote sensing based as-built and weld mapping data against those acquired through the traditional technique during this trial. Opportunities for adoption of this method as well as improvements to its application are also discussed.

2018 ◽  
Vol 50 ◽  
pp. 02007
Author(s):  
Cecile Tondriaux ◽  
Anne Costard ◽  
Corinne Bertin ◽  
Sylvie Duthoit ◽  
Jérôme Hourdel ◽  
...  

In each winegrowing region, the winegrower tries to value its terroir and the oenologists do their best to produce the best wine. Thanks to new remote sensing techniques, it is possible to implement a segmentation of the vineyard according to the qualitative potential of the vine stocks and make the most of each terroir to improve wine quality. High resolution satellite images are processed in several spectral bands and algorithms set-up specifically for the Oenoview service allow to estimate vine vigour and a heterogeneity index that, used together, directly reflect the vineyard oenological potential. This service is used in different terroirs in France (Burgundy, Languedoc, Bordeaux, Anjou) and in other countries (Chile, Spain, Hungary and China). From this experience, we will show how remote sensing can help managing vine and wine production in all covered terroirs. Depending on the winegrowing region and its specificities, its use and results present some differences and similarities that we will highlight. We will give an overview of the method used, the advantage of implementing field intra-or inter-selection and how to optimize the use of amendment and sampling strategy as well as how to anticipate the whole vineyard management.


Agronomy ◽  
2021 ◽  
Vol 11 (9) ◽  
pp. 1809
Author(s):  
Muhammad Huzaifah Mohd Roslim ◽  
Abdul Shukor Juraimi ◽  
Nik Norasma Che’Ya ◽  
Nursyazyla Sulaiman ◽  
Muhammad Noor Hazwan Abd Manaf ◽  
...  

Weeds are unwanted plants that can reduce crop yields by competing for water, nutrients, light, space, and carbon dioxide, which need to be controlled to meet future food production requirements. The integration of drones, artificial intelligence, and various sensors, which include hyperspectral, multi-spectral, and RGB (red-green-blue), ensure the possibility of a better outcome in managing weed problems. Most of the major or minor challenges caused by weed infestation can be faced by implementing remote sensing systems in various agricultural tasks. It is a multi-disciplinary science that includes spectroscopy, optics, computer, photography, satellite launching, electronics, communication, and several other fields. Future challenges, including food security, sustainability, supply and demand, climate change, and herbicide resistance, can also be overcome by those technologies based on machine learning approaches. This review provides an overview of the potential and practical use of unmanned aerial vehicle and remote sensing techniques in weed management practices and discusses how they overcome future challenges.


1975 ◽  
Vol 15 (73) ◽  
pp. 251-265 ◽  
Author(s):  
Mark F. Meier

AbstractThis paper discusses the measurement of important snow properties using electromagnetic radiation. Snow areal extent can be measured using manual, optical, electronic, or digital techniques from data supplied by visible and near-visible light sensors carried on Earth resources and meteorological satellites, but these techniques cannot routinely detect snow under clouds or a forest canopy. Gamma-ray techniques used at stations or from low-flying aircraft permit measurement of water equivalent of snow (depth times density). Active or passive microwave systems may permit this to be done over larger areas, but the physics of this possible technique is not yet sufficiently understood. Wetness or temperature, of a snow surface is measurable with thermal infrared radiometers; wetness throughout a snow pack may be measurable with microwave radiometers. Much research needs to be done on the electrical (including scattering) properties of snow before efficient, all-weather, remote-sensing systems can be designed.


Sensors ◽  
2020 ◽  
Vol 20 (7) ◽  
pp. 2003 ◽  
Author(s):  
Aleksander Olejnik ◽  
Łukasz Kiszkowiak ◽  
Robert Rogólski ◽  
Grzegorz Chmaj ◽  
Michał Radomski ◽  
...  

This paper describes the possibility of using a small autonomous helicopter to perform tasks using a remote sensing system. This article further shows the most effective way to properly set up autopilot and to process its validation during flight tests. The most important components of the remote sensing system are described and the possibilities of using this system to monitor gas transmission and distribution networks are presented.


1975 ◽  
Vol 15 (73) ◽  
pp. 251-265
Author(s):  
Mark F. Meier

AbstractThis paper discusses the measurement of important snow properties using electromagnetic radiation. Snow areal extent can be measured using manual, optical, electronic, or digital techniques from data supplied by visible and near-visible light sensors carried on Earth resources and meteorological satellites, but these techniques cannot routinely detect snow under clouds or a forest canopy. Gamma-ray techniques used at stations or from low-flying aircraft permit measurement of water equivalent of snow (depth times density). Active or passive microwave systems may permit this to be done over larger areas, but the physics of this possible technique is not yet sufficiently understood. Wetness or temperature, of a snow surface is measurable with thermal infrared radiometers; wetness throughout a snow pack may be measurable with microwave radiometers. Much research needs to be done on the electrical (including scattering) properties of snow before efficient, all-weather, remote-sensing systems can be designed.


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