Forestry

Harnessing data to drive sustainable growth and efficiency in the forestry sector

FME offers a powerful way to overcome these challenges and unlock the full potential of data-driven forestry.

Data Challenges in Forestry

The vast landscapes and long-term growth cycles inherent in forestry present unique data challenges. Traditional methods often struggle to capture the spatially diverse nature of forests, resulting in fragmented information on important factors like tree health, soil composition, and wildlife habitat.

Limited real-time data collection further hinders timely responses to critical threats such as forest fires or pest infestations.

Need for Complex Spatial Data Analysis

Optimising harvest plans and predicting growth patterns require complex spatial data analysis, which is essential for effective decision-making in forestry. Traditional tools often fall short in providing the necessary capabilities for accurate spatial analysis, limiting the ability to make well-informed decisions.

Impact of Data Limitations on Forestry Operations

The limitations of traditional data tools can lead to suboptimal decision-making throughout the forestry value chain. These challenges negatively impact efficiency, sustainability, and profitability, making it harder to manage forestry operations effectively and responsibly.

THE LOCUS ADVANTAGE

Integrated Data and Applications
with the help of FME 

Powerful ways to overcome Forestry issues across New Zealand and the Globe. Experience ground breaking results with the integration and Automation of FME with the guidance of Locus.  

Talk with an Expert

Connect Key Data Types

Forestry data consists of three key types: field data (such as LiDAR sensors, GPS, drone imagery, and weather data), forest management data (including GIS data, inventory records, growth models, and silvicultural information), and business and regulatory data (like permits, financial data, sustainability reports, and market data). FME plays a crucial role in integrating these diverse data sources, centralising and standardising the information to enhance collaboration, streamline workflows, and support more effective analysis.

Transform Complex Data into Usable Formats

Each data type, such as LiDAR scans, GPS data, or silvicultural records, has its own format and structure, requiring specialised tools and expertise to work with. FME transforms complex data into usable formats, streamlining workflows and reducing reliance on specialised tools, making data accessible to a wider range of users.

Discover real-time insights

Traditional data collection and monitoring methods often struggle to provide timely data updates, hindering proactive decision-making on issues like forest fires, pest outbreaks, or harvesting. FME automates data workflows and facilitates real-time data updates.

Book FME Demo Meet The Locus Team

Locus transforms businesses across the globe

Proudly trusted by leading data teams at

 

Success Stories

Powered by Locus Expertise

Full Control of a critical data pipeline

Wellington Electricity relied on daily retailer files to keep their network records accurate but inconsistent formats made automation a real challenge. Partnering with Locus, they built a fully automated FME Flow pipeline that now runs daily with no manual touchpoints and no third-party dependencies.

90% Faster Data Processing

NZTA, Waka Kotahi was spending a full day manually downloading, compressing and sending photo attachments for newly installed network devices. By integrating FME into their survey workflow, that same process now runs in just five minutes.

50% Faster Biosecurity Reporting

Auckland Airport handles over 18 million passengers a year, making biosecurity monitoring mission-critical. Manual inspection reporting was slow and eating hundreds of GIS hours annually. By partnering with Locus and the help of FME and Esri automating the workflow, they cut manual effort in half.

Real Time freight visibility across the rail network

KiwiRail operates 900 freight trains a week and handles 18% of New Zealand's imports and exports. Manual GIS updates were taking hours every time a disruption hit. Using FME, they built a live freight disruption dashboard eliminating manual overhead and keeping freight moving.

60% Faster Water Data Requests

Auckland Council was taking up to 10 days to fulfil water resource data requests, a manual, approval-heavy process serving a city of 1.7 million people. By automating submissions, approvals, and data delivery with FME and Esri, that turnaround is now just 3–4 days, with better service and no manual bottlenecks.