Lynker Analytics

A warm Lynker Analytics welcome to Leigh Hunt. With nearly 30 years' experience in the software development industry, Leigh Hunt has been working in the New Zealand IT community for 17 years, primarily in Full Stack Development, DevOps and Geographic Information Systems (GIS). He has a BSc in Computer Science and Software Engineering from the University of Birmingham, UK. Leigh has worked with our team on multiple projects as a sub-contractor in recent years so we are delighted to have him transition into a full time role with us. #welcome #newstarter

It is great to see results from our environmental data science research published on Knowledge Auckland - Auckland Council’s collection of Auckland related published research, data, information, analysis and data about our communities, the economy and the Auckland environment. Reports from two of our recent collaborative projects with Zealandia Consulting Ltd are now available: https://lnkd.in/gfYitF-j This project uses high spatial and temporal resolution satellite imagery alongside machine learning techniques to identify “bare earth” and unsealed roads across the Auckland region. The model analysis defines areas of bare earth as gravel, exposed soil, and sand. https://lnkd.in/gcj6wVcn This report documents a GIS analysis specifically developed to identify potential sediment sources, exposure, and deposition, caused by the 2023 Cyclone Gabrielle, for five pilot catchments in the Auckland region. Thanks to Damian Young (Env Engineer and Entrepreneur) and his team at Zealandia Consulting plus all of the stakeholders at Auckland Council who assisted in these projects.

A significant milestone in our history. Launching prism.earth alongside our partner Silver Fern Farms. We look forward to supporting the venture with AI and data infrastructure services.

We are proud to have entered into the Prism Earth Ltd partnership with Silver Fern Farms Ltd. Read more about the plans for Prism on Rural News Group Limited. https://lnkd.in/dEbtxWkT

Encouraging and motivating bright minds into applied AI is important to us at Lynker Analytics. In a continuation of our work in “AI for Education” with a focus on teaching the teachers we hosted more than 20 primary and intermediate school principals from across Wellington and Wairarapa last week at our Petone office. Our Wellington Data Science team led by David Knox and including Achim Gädke and Justin Larking explained the latest developments in AI and shared their unique pathway into this career. One of our youngest team members Maia Waipara also showcased our work using AI to map every building in NZ for Toitū Te Whenua Land Information New Zealand. We also had time to spotlight Peek Robotics with a tour of their lab from founder Gary Peek and a demo of Grover the adaptable robotics platform. Thanks to John Channer from Fraser Crescent School for facilitating. #ai4edu AI Forum NZ

We are very pleased to announce the appointment of Josh Jones to the position of General Manager at Lynker Analytics.  Josh has overseen our Data Infra practice for the past year or so and has built his career as an experienced business leader and individual contributor well-versed in infrastructure, data platforms, and daily operations management across disciplines. He's a forward-thinking and strategic leader with 20+ years of experience across multiple industries such as healthcare, telecommunications, insurance, and software as a service development firms.   Josh has worked as a small business owner, frontline contributor in multi-million dollar businesses, and consultant to enterprises of all sizes. He has often been recognized for cost-effective system improvements, advanced architecture, and a positive, servant leadership style.   Josh is also a freelance musician contributing his skills in live performance and recording work in the Wellington music scene.

A warm Lynker Analytics welcome to Jeremy Hodge. Over the past 26 years Jeremy has supported database operations in the finance, telecommunications, and local government sectors. Having a customer-centric focus, he prides himself in providing excellent and sustainable outcomes for his clients. Proficient in both the Microsoft-Azure and AWS stacks, he is friendly, reliable, and professional and has fit quickly and seamlessly into our team.

The New Zealand government through Ministry for the Environment | Manatū mō te Taiao use the Land Use Carbon Analysis System (LUCAS) programme to quantify the greenhouse gas emissions and removals associated with land use change. The most important land use changes from an emissions perspective are afforestation and deforestation. For the most recent monitoring period Lynker Analytics was commissioned to field check over 7,000 distinct areas of potential forest loss. These areas ranged in size from 1 to 477 hectares and covered a total area larger than 60,000 hectares. This time we used satellite imagery from Maxar Technologies and Machine Learning (ML) to survey these areas with the data classified by our model into land cover sub-classes including cutover (debris left after harvest), new seedlings, pasture, and mature forest. Downstream of this we applied a rules based GIS analysis to assess deforestation status. This automated monitoring system is similar to the last two surveys we undertook using an aerial survey. This method again proved reliable in detecting deforestation, re-planting and other land cover changes exceeding one hectare.  Thanks to David Knox for outstanding technology design and implementation, Jithen S. at Eagle Technology for imagery tasking and technical support, and Deborah Burgess, Michael Cooper and Tom Argyle from the Carbon Sequestration team at Ministry for the Environment | Manatū mō te Taiao.

We are on the look out for a Snr DevOps Data Engineer to work with Josh Jones and the team at Lynker Analytics. Apply here: https://lnkd.in/gCEJPBVA

Lynker Analytics is excited to have been awarded a scientific research and consulting contract with National Oceanic and Atmospheric Administration (NOAA), Alaska Fisheries Science Center to develop a data processing pipeline for Zooplankton Images. This project is to be conducted for the Recruitment Processes Program (RPP) which has been testing camera systems for capturing zooplankton images and analysis methods for counting, enumerating and measuring zooplankton and fish eggs for a number of years. Their goal is to greatly expand data on zooplankton and fish eggs compared to what net sampling and human observers can accomplish. Learn more about Zooplankton Distribution and Abundance Studies in Alaska, https://lnkd.in/gsV_y3Uj Well done Jonno Ingerson David Knox Achim Gädke Dean-Lorenz Szumylo