At TerraLab, giving back is built into the way we work. Through our ongoing donations program, a portion of every hour billed is reinvested into organisations making a real difference; supporting community wellbeing, education, social justice, and compassion. Our current partners include White Ribbon Australia, Children’s Ground, Federation University, Edgar’s Mission, and the Australian Childhood Foundation.

In this article, TerraLab explores how modern AI can support weed surveys and ecological monitoring using geo-tagged imagery, improving repeatability, scalability and data quality. We share real-world testing of AI-assisted weed detection and discuss how this approach can complement traditional ecological expertise.

TerraLab now offers eDNA metabarcoding alongside ecological surveys, delivering rapid and comprehensive biodiversity insights. Our Outtrim case study shows how combining eDNA with traditional fieldwork detected over 300 taxa, including threatened and cryptic species, giving land managers a clearer picture of what lives on their land.

TerraLab is now including environmental DNA (eDNA) metabarcoding in all general flora and fauna surveys at no extra cost until the end of the year. This cutting-edge method detects species from trace DNA in water or soil, offering a faster, more objective, and non-invasive way to screen for biodiversity — including cryptic or threatened species. We’re also offering eDNA as a standalone service for just $450, making it easier than ever to bring modern science into your next ecological assessment.

Discover the new STA Explorer — a lightweight, high-performance field data logger for environmental and land management workflows. Featuring USB-C charging, automatic tree planting detection, high-accuracy GPS (PPK-ready), and universal mounting options. Fully compatible with STA Logger systems. Now available for pre-order ahead of the Q4 launch.

In this blog, we show you how to make this dramatic 3D map of Mount Fuji using ArcGIS Pro, a local scene and a little data from the Living Atlas.

In this blog, we discuss (and show real examples) of the difference between calculating centroid coordinates, and central coordinates in a GIS.

Designing a mobile mapping solution for your organisation isn’t just about the platform, schema and data. It involves a process of collaboration with users, managers and setting up processes to ensure everyone is onboard and enthusiastic about its roll out. Afterall, it won’t be very useful if no one uses it. In this blog we impart our experience on the matter.

TerraLab and EsriAustralia teamed up for a Directions Live webinar on the STA logger. During the event, several case studies were discussed on STA logger and ArcGIS integrations. The webinar was recorded and can be accessed from the blog.

In part 1 on this two part blog, we showed how to make a map that shows steep slopes. In part 2, we show how you can categorize this by aspect to show the direction the slopes are facing too.

What is the most remote city in the world, with more than 100,000 people? GIS to the rescue. In this blog we answer that question, but also show you how to do it, using ArcGIS Pro.

TerraLab have been inducted in to the Bass Coast Business Awards Hall of Fame for taking out the Innovation category for three consecutive years.

Slope and aspect analysis are valuable for a variety of planning activities such as urban planning, natural hazard assessments and environmental conservation. In this blog post, we show you how to complete a slope assessment of your study site in minutes, using GIS.

Everyone has seen it. Most of you know the problems it causes. Some of you even know its name. The Web Mercator map projection. The map that makes Greenland look absolutely huge. In this blog, we discuss the Web Mercator map projection and use Indonesia as a comparison of the distortions it causes.

TerraLab is partnering with Large Globes, a globe manufacturer that hand crafts bespoke works of cartographic art for work places, home collections and public spaces.

In this blog, we highlight some of the uses of AI in GIS and undertake a test on detecting building footprints from an orthomosaic using a deep learning model. What would have taken an analyst days to digitise took our model 5 minutes to produce.

Esri doesn’t support working in a cloud storage service like Google Drive or OneDrive, but we know some of you do! In this blog we test the performance of each service using the Performance Assessment Tool.

Your imagery basemap is not accurate. In this video, we give an example of how inaccurate it can be and why you shouldn't map things from the imagery basemap.

Our navtigation satellites, GPS, GLONASS, Galileo, Beidou, etc. are up high. Really high. So high that their transmissions need to account for the effects of Einsteins relativity. In this blog article we explain how high and show what that actually looks like.

Sure you can use a scanner to digitise hardcopy maps. But have you ever considered using a digital camera? It is much faster, but there are some things you need to be aware of.