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What is Remote Sensing?

Remote Sensing is the science of gathering information about objects or areas from a distance, like imagery from aircrafts or satellites. At LGeo, we use this technology to analyse imagery and apply advanced algorithms to detect, classify, and help predict environmental and urban changes.

Our Expertise

Remotely sensed data such as regional aerial imagery or LiDAR requires complex modelling pathways for data manipulation and transformation. We wrangle the data and produce pipelines that are reproducible, shareable, and supported by documentation.

Big Data

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As data nerds, we love to keep up with the latest research in the field. This means that our solutions are informed by research and designed for success.

Research Informed Problem Solving

We bridge remote sensing with socioeconomic and environmental concerns

We can utilise remote sensing and demographic variables to model future scenarios of development density by integrating climate change related hazards and community risk, using a population health lens.

Interested in how advanced remote sensing and machine learning can transform your strategic decision making? At LGeo, we integrate the latest technologies to offer detailed, predictive insights that guide complex environmental and urban planning efforts. We harness the full power of high-resolution spectral imagery, 3D point cloud data, and advanced machine learning algorithms to deliver precise analyses of land use dynamics, environmental changes, and urban development patterns. Our remote sensing applications allow us to detect and monitor subtle changes across vast areas, providing you with the intelligence needed to make informed, strategic decisions. 

Empower your projects with actionable data! We specialise in crafting customized solutions that address specific challenges, whether that be assessing risk for disaster preparedness, monitoring ecological health, or planning sustainable urban expansions, our outputs are designed to be as practical as they are insightful.

Explore the below case studies to learn more....

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Extreme Heat Modelling and Vulnerability Assessment


Urban Canopy Carbon Sequestration Modelling

In addition to these we have also completed projects with: the Vancouver Economic Commission, Abbotsford, Surrey, Richmond, Kamloops, Langley (Township), West Vancouver, North Vancouver (District) and more work with the Province of British Columbia.

Case Studies


In response to the devastating effects to the 2021 heat dome—an extreme heat event that caused significant health impacts accross BC—the Capital Regional District (CRD) recongised the urgent need for a nuanced understanding the local impacts of extreme heat to support regional partners in their climate readiness, emergence response, and risk reduction planning. LGeo was commissioned to develop an in-depth analysis of extreme heat vulnerability of communities in the Capital Region, focusing on three key areas:

  1. Extreme heat exposure (where does it get hot outside and how hot does it get?)

  2. Sociodemographic vulnerability (where are the communities that have experience disproportionate impacts of extreme heat, either through having a greater sensitivity or lower adaptive capacity?)

  3. Building vulnerability (which buildings in the Region do we expect to present greater risks to inhabitants?)

Case Study 1

Extreme Heat Vulnerability in the Capital Region


Partnering with Thrive Consulting, LGeo brought its expertise in geospatial analysis and specialisation in remote sensing to the project. Our objects were clear:

  • Foster robust stakeholder engagement. Recognising the potential diverse uses of our findings, it was important to incorporate a wide range of perspectives throughout the project. The consultation of this project included workshops on validation of our methods and results, and involved local and regional governments, health practitioners, First Nation representatives, emergency services, and climatologists.

  • Identify and measure key determinants of risk. As we set out to construct a vulnerability framework, we also had to consider what variables had to be considered as a determinant of extreme heat vulnerability. We leveraged our stakeholders, in addition to a literature and best practice review, to help determine what factors increase extreme heat vulnerability. 


The project yielded a nuanced mapping of extreme heat across the Capital Region that helps identify areas with compounded vulnerability and highlights priority areas for intervention. Our approach technological innovation across vulnreability lenses. These included employing high resolution satellite imagery, 3D modelling, and weather station data to create a predicted layer of air temperature during the 2021 heat event. Our building vulnerability assessment also leveraged 3D point cloud data to construct building footprint data and attribute building heights. We also created a rooftop reflectivity layer through satellite imagery to help us understand how much heat buildings would absorb during the day.

This project not only advanced the understanding of extreme heat vulnerability in the Capital Region, but also set a benchmark of how local and regional governments can approach heat vulnerability assessments. Our multidisciplinary strategy offers a nuance perspective that highlights areas and communities at elevetated risk and ensures that lessons from past events translates into a resilient future. 

For a closer look at our innovating mapping solutions, visit the GeoBC platform on this work

Case Study 2

Rooftop Unit Detection in Vancouver


Metro Vancouver and its member municipalities have pledged to reduce greenhouse gas emissions by 45% by 2030 and achieve carbon neutrality by 2050.


The challenge presented in this project was to identify, test and evaluate a diverse suite of regional policies to meet a Carbon Neutral Scenario for the region. Policies extended across 10 sectors identified by the Climate 2050 Strategic Framework

Nature and Ecosystems, Industry, Infrastructure, Energy, Human Health and Well-Being, Land-Use and Growth Management, Buildings, Agriculture and Transportation and Waste


We applied our deep experience with energy and emissions modeling, model integration, tool development and climate leadership to model more than 40 potential policies, actions and measures including:

  • Transportation policies that affect vehicle kilometers traveled;

  • Transportation policies that affect vehicle technology adoption;

  • Transportation policies that affect vehicle efficiency;

  • Policies that affect carbon contents of fuels;

  • Policies that affect the use of renewable natural gas and shifts to compressed natural gas;

  • Industrial policies that affect process feed stocks;

  • Industrial policies that affect process efficiencies;

  • Buildings policies that affect retrofit rates for building stock renewal;

  • Buildings policies that affect performance standards for new construction;

  • Land use policies that provide throughput for transportation modeling and buildings modeling; and

  • Liquid and solid waste management policies that affect disposal and diversion rates from numerous emissions sources.

Case Study 3

City of Vancouver Climate Emergency Action Plan - Ongoing Modelling


As a global leader in climate change policy, the City of Vancouver has ambitious sectoral goals and targets. To achieve these, the City has laid out the Climate Emergency Action Plan (CEAP) that bundles interdependent actions and targets into 6 categories called Big Moves:

  • Big Move 1: Complete, Walkable Communities

  • Big Move 2: Active Transportation and Transit

  • Big Move 3: Zero Emissions Vehicles

  • Big Move 4: Zero Emissions Space and Hot Water Heating

  • Big Move 5: Low-Carbon Construction Materials

  • Big Move 6: Carbon Sequestration

The challenge faced by the City of Vancouver, and the purpose of this project, was (and continues to be) to evaluate upcoming and potential CEAP policies based on domain expertise, best practices, and informed modeling and data, in order to:

  1. Understand the direct impacts of policies on GHG reductions;

  2. Monitor progress towards targets; and

  3. Identify key risks, uncertainties and opportunities to accelerate action.


We developed causal computational models to forecast the emissions impacts that result from a variety of policy scenarios. In other words, our models can be explained! They produce a wide variety of interesting information such as projections for: building floor areas, energy use, EV ownership and many more. 


We also developed a reusable software pipeline so that we can quickly test a wide range of assumptions. This means that we can evaluate the impact of each policy in isolation, conduct sensitivity analysis and incorporate new policies, all with limited overhead. For this reason, we are able to provide ongoing policy integration, modelling and analysis for the City.

Our results are displayed for the City in an interactive online dashboard  (an example, populated with placeholder values, is available here).


For more information on our approach, click through on the images in the carousel below! For privacy, the images below are populated with placeholder data and may not be representative of actual results.


For further reading on the CEAP, check out the 2022 CEAP progress report, and the City’s website.