Point cloud visualization of tree health categories within a utility right-of-way.
Vegetation management has long been a reactive process. With innovations in remote sensing and analytics, we are enabling a proactive approach for assessing vegetation health, to reduce risk, streamline inspections and target tree trimming activities to areas of greatest concern.
ST. PETERSBURG, Fla. (PRWEB) September 05, 2019
Quantum Spatial, Inc., the nation’s largest independent geospatial data firm, today announced that its use of remote sensing and analytics for vegetation management will be featured during the 2019 Trees and Utilities Conference, taking place September 10-12 in Cincinnati, Ohio. Quantum Spatial will be exhibiting at the conference, offering presentations at its booth on topics such as wildfire analytics, tree species identification using hyperspectral imagery, cycle- and condition-based vegetation management, and funding for remote sensing initiatives.
“Vegetation management has long been a reactive process, in which utilities typically address problematic trees that pose an imminent threat,” said Eric Merten, vice president and general manager, Commercial Markets for Quantum Spatial. “With our industry-leading innovations in remote sensing and analytics, Quantum Spatial is enabling utilities to take a more proactive approach to assessing vegetation health and identifying species. This knowledge will help utilities reduce risk, streamline inspections and target tree trimming activities to areas of greatest concern.”
WHAT: 2019 Trees and Utilities Conference
WHEN: September 10-12, 2019
WHERE: Duke Energy Convention Center
Cincinnati, Ohio
DETAILS: Quantum Spatial is exhibiting in booth 111, where it will feature educational presentations:
Wildfire Analytics
Tuesday, September 10, 11:40 a.m.
Speaker: Greg Denton, PMP, geospatial program manager, Utility and Commercial Markets
- As climate instability continues to intensify, climate conditions and weather events become an increasingly important variable in utility risk planning. Only by understanding both the probability of a weather event and its impact, can utilities develop intelligent risk mitigation strategies. Quantum Spatial will showcase a comprehensive fire-risk model co-developed with Pyrologix. The model combines both the likelihood of a vegetation-caused fire along electrical lines, and the behavior and subsequent impacts of a utility-caused fire starting at any given location across the system. The presentation also will feature the pros and cons of different fuel and fire modeling approaches, and how utilities can leverage new or existing remote sensing data sets to improve these models.
Tree Species – Hyperspectral Identification
Tuesday, September 10, 3:10 p.m.
Speaker: Zach Raymer, hyperspectral imagery technical expert
- Understanding where problematic or high-risk tree species are located in relation to utility assets enables utility stakeholders to better mitigate risk. Quantum Spatial uses hyperspectral imagery combined with real-world identifier trees and custom machine learning pipelines to model and map the location of "danger trees" for utility clients. This presentation will focus on Quantum Spatial’s methods and results, and explain how utilities can leverage tree species information with analytics, like growth rates and tree health, to create a more robust risk profile.
Cycle-based vs. Condition-based Vegetation Management
Wednesday, September 11, 3:35 p.m.
Speaker: Greg Denton, PMP, geospatial program manager, Utility and Commercial Markets
- The goal of condition-based maintenance is no longer a "future state" goal for utility vegetation management programs. Utilities across the globe routinely deploy remote sensing technologies – paired with advanced modeling techniques, machine learning methods and work management software – to realize the benefits of increased system reliability, safety and return on investment. This presentation will review the foundation technologies and systems that make condition-based maintenance possible. Quantum Spatial will discuss the challenges and successes of recent system wire deployments within leading North American programs, and show how traditional survey methods can be integrated with multi-phase remote sensing systems for a truly state-of-the-art aerial patrol.
Funding Strategies for Remote Sensing Analytics
Wednesday, September 11, 10:20 a.m.
Speaker: Jacob Hall, vice president, Energy Sales - Utilities
- Utilities looking to incorporate remote sensing technologies into their daily operations need to overcome the hurdle of funding those initiatives. Funding justification often takes two forms – reducing O&M, or rationalizing a capital expenditure. This presentation will discuss tools that have been used successfully to demonstrate overall reduction of O&M dollars and generate a favorable ROI for the enterprise, as well as strategies for successfully capitalizing your remote sensing project.
CONTACT: To set up a meeting with Quantum Spatial at the 2019 Trees and Utilities Conference, contact Jacob Hall at jhall at quantumspatial dot com or call 805-757-6418.
About Quantum Spatial, Inc.
Quantum Spatial, Inc. provides geospatial intelligence to government and corporate organizations to mitigate risk, plan for growth, better manage resources and achieve advanced scientific understanding. A pioneer in advanced mapping technology, Quantum Spatial’s end-to-end solutions deliver data and services of the highest quality and accuracy, leveraging the widest array of technologies in all types of landscapes. Clients use the company’s acquisition, processing, analytics and visualization solutions in a range of technical and scientific disciplines – from geology and biology, to hydrology, forestry and civil engineering. Utilities, oil and gas producers, engineering and construction firms, as well as the military and major government agencies, are Quantum Spatial customers. Quantum Spatial has multiple offices around the country. For more information visit quantumspatial.com, join us on LinkedIn or follow us on Twitter @QuantumSpatial