Podcast recording is below.
Last Friday, Lucy Kennedy, Spottitt CEO and Co-Founder, got interviewed by Wil Waters for The Geospatial Index Podcast.
This episode is a story of entrepreneurship helping utilities reduce losses by enabling satellites to write external risk assessments directly to a utility’s asset monitoring system. In this episode:
– Obtaining the ‘right’ satellite imagery can be a challenge in itself. But the hardest task lies in extracting valuable outcome analysis from it in a way that is easy to interpret, manipulate and integrate with other data sources.
– In the initial stages of client discussions, exploring colourful images featuring distinctive buildings, crop fields, or changes can be visually appealing – the ‘seeing is believing’ concept in action. However, as we scale up to monitor thousands of kilometers of infrastructure, the client shifts to a more data-driven approach. They want data mapped directly onto their assets, such as identifying trees in poor health situated closer than X meters to the clearance corridor, and understanding the network’s impact.
– AI is one of the enablers of why EO and geospatial services became commercially attractive for clients. Looking ahead, it will be intriguing to explore the potential of AI in reshaping customer interactions with the product. E.g. instead of configuring variables, users can directly ask AI to show trees taller than X meters and located within Y meters of a designated line.
Also about ongoing “nirvana journey” to product-market fit, a perpetual hunger to satisfy client needs, how each Spottitt team member has skin in the game and much more.
Spottitt CEO and Co-Founder
Throughout years, infrastructure monitoring has progressed from manual field inspections to advanced remote sensing using satellites, drones, LIDAR, and AI-powered analytics.
Each technology brings distinct advantages and limitations, making the choice complex.
This comparison sheet offers an overview of technologies to help identify the best-fit solutions for linear infrastructure owners and operators.
Welcome to your monthly roundup of the latest updates from the Spottitt Metrics Factory platform. As always, we’re working to make your asset risk analytics experience more insightful, flexible and faster.
Future Climate Data Models Now Integrated
Understanding how climate change affects infrastructure is no longer limited to the past or current. Spottitt MF now integrates future climate scenario models, based on global models developed by the Intergovernmental Panel on Climate Change (IPCC).
Welcome to Spottitt “Let’s Talk Satellite EO Data” eBook – your ultimate guide to understanding satellite-derived data types, their applications in asset monitoring, of the different types of data providers, and practical tips for navigating the challenges of using remote sensing data.
This resource is designed to help you make well-informed decisions about the use and integration of EO data, ultimately to ensure the safety and performance of your critical infrastructure.
At Spottitt, we’re constantly working to enhance your experience with our analytics platform, by making data visualization and reporting more intuitive, flexible, and insightful. This month, we’re introducing several updates which give you even more control and customization.
🌍 Your Free Climate Data Now Displayed as a Gradient Layer in a Map Format
Just like our other data layers, your free climate data can now be viewed on the map in a compact gradient color format. While generating a report on how each climate parameter impacts your assets is the best way to match this data to your assets and can be nice to view these data layers – helping you assess environmental exposure at a glance.
The upgraded Spottitt platform now empowers users to customize reports in a single step, using multiple data layer types, filters, and display preferences.
Layer types refer to the specific input data leveraged for a monitoring use case.
Depending on the source data purchased through Spottitt MF, the available layer types might include but are not limited to: Optical Vegetation and Man Made Classes, Wind, Precipitation and Temperature Classes, SAR (Synthetic Aperture Radar) Land & Asset Motion Classes, Digital Elevation Data Classes.
As climate change intensifies and extreme weather events become more frequent and severe, it’s clear that understanding climate and weather variables is no longer just a ‘nice to have’ for asset owners. Recent disasters all over the globe, including the devastating wildfires in Los Angeles, USA, only emphasise the necessity of integrating climate and weather data into asset monitoring workflows.
Building on our past successful climate impact analytics projects, such as updating severe weather maps for SPEN, we are thrilled to announce the coming soon launch of Spottitt Metrics Factory 2.0.
