Imagery - Historic and current

We get it. It’s tempting to screenshot web maps or reuse online imagery. But that approach often introduces copyright issues, visible watermarks, and unreliable data quality.

Instead, let TerraLab help you source authoritative and fit-for-purpose imagery tailored for your project, legally acquired, and delivered in a professional format. We procure aerial and satellite imagery from a wide range of sources, including:

  • Satellites — global coverage, 10m to 1km resolution

  • Manned aircraft — regional coverage, 1m to 100m resolution

  • Drones — highly detailed site coverage, 1cm to 1m resolution

We deliver imagery in formats to suit your workflow: JPEG, PDF, or GeoTIFF, ready for analysis or use in reports, web apps, or spatial databases.

Whether you need:

  • Aerial photography from 1960

  • Multiband satellite imagery from last week

  • Or custom drone capture tomorrow

… We’ll find it, process it, and deliver it.

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Remote Sensing

Let our remote sensing specialists extract insights from imagery - no boots on the ground required.

Remote sensing uses data captured by sensors mounted on drones, planes or satellites to derive information beyond what’s visible to the naked eye. We can analyse single-band, multispectral, hyperspectral, or LiDAR data to support a wide range of applications, including:

  • Vegetation health and biomass modelling

  • Soil moisture and salinity mapping

  • Surface temperature and heat island analysis

  • Burn area and post-fire assessments

  • Solar energy potential

  • Atmospheric and water body analysis

We tailor every analysis to your project objectives and deliver outputs as maps, reports, or ready-to-use GIS layers.

Send us a message …


Remote Sensing of Invasive Weeds

Objective:

To map and quantify the distribution of a specific weed species across a large site without requiring full ground-based surveys.

Approach:

TerraLab acquired near-infrared and visible spectrum imagery using aircraft and drone platforms. Small training areas were mapped on the ground using GPS tools developed in-house by TerraLab, creating a dataset to “teach” a classification model how to identify the target weed species from the imagery.

The model then produced predictive distribution maps for the entire site. To validate accuracy, random sampling points were generated and visited in the field. Presence or absence data from these sites confirmed the model’s reliability.

Result:

The client gained an accurate, repeatable method for quantifying weed cover saving hundreds of hours in labour. The process enables future monitoring using remote sensing to track progress and guide long-term weed control efforts.

Drone-Based Monitoring of Mine Site Rehabilitation

Objective:

To design a cost-effective, repeatable method for monitoring key ecological indicators on rehabilitated mine sites.

Approach:

TerraLab combined expertise in ecology and remote sensing to develop a drone-based monitoring workflow, drawing on current scientific literature and CSIRO methodologies. The system used low-cost drones equipped with near-infrared sensors and high-accuracy GPS units to capture imagery across rehabilitated areas.

The data was processed using desktop GIS software to generate spatial outputs aligned with ecological benchmarks including vegetation cover, species composition, and biomass indicators.

Result:

The resulting method enables the client to monitor extensive rehabilitation zones efficiently, with significant cost savings compared to manual fieldwork. The system is now being implemented as part of their long-term environmental compliance and performance strategy.

Save time in the field and get the insights you need from above — contact us to get started.


What We Offer:

Our imagery and remote sensing services help you capture, analyse, and interpret geospatial data from satellites, aircraft, and drones. Whether you're monitoring land condition, assessing vegetation health, or planning site rehabilitation, TerraLab delivers reliable insights from above.

Data Acquisition & Processing

We source and process high-quality imagery from:

  • Satellite data (e.g. Landsat, Sentinel, MODIS, ASTER, VIIRS)

  • Aerial imagery providers like NearMap, MetroMap, and other global archives

  • Drone surveys, including orthomosaic production and photogrammetry

We deliver imagery in formats suited to your needs (GeoTIFF, JPEG, PDF), with options for historical, current, or multi-band datasets.

Remote Sensing & Spectral Analysis

We process and interpret data from:

  • Multispectral and hyperspectral imagery

  • LiDAR datasets (Light Detection and Ranging)

  • Spectral indices for vegetation, water, fire, soil, and built-up areas

Common indices include:

  • Vegetation: NDVI, EVI, SAVI, GNDVI, Red-edge Chlorophyll Index (CIre), and more

  • Water: NDWI, NDMI, NDSI

  • Fire: Burn Area Index (BAI), Normalized Burn Ratio (NBR)

  • Urbanisation: Normalized Difference Built-up Index (NDBI)

  • Soils & Minerals: Iron oxide, clay and ferrous mineral ratios

Image Classification & Machine Learning

We apply both supervised and unsupervised classification methods to derive land cover, vegetation types, and other features of interest, using algorithms such as:

  • Maximum Likelihood

  • Support Vector Machines (SVM)

  • Random Trees

  • Minimum Distance classifiers

Remote Sensing Applications

Our methods support a wide range of practical uses, including:

  • Environmental and ecological monitoring

  • Agricultural health assessment and precision farming

  • Bushfire risk analysis and post-fire mapping

  • Coastal erosion and waterway health monitoring

  • Land use classification and change detection

  • Mine exploration and rehabilitation tracking

  • Soil composition and surface moisture analysis

  • Topographic and bathymetric mapping