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Ka Hei Chow

Seeing the World Through Geospatial Eyes 🛰️

I am a

  • Geospatial Data Scientist
  • Remote Sensing Specialist
  • Machine Learning Scientist
  • Nature Lover

From the bustling streets of Hong Kong to the heart of central Europe, my journey as a geospatial data engineer and geoscientist has been driven by a deep curiosity about our planet. Growing up surrounded by lush mountains and powerful nature, I developed a passion for understanding the Earth's dynamic processes. This passion has led me to explore remote sensing, machine learning, and climate science, seeking ways to use technology to create a more sustainable future.

Today, I lead GIS product development at Maya Climate, where we harness the power of geospatial data for land assessment. Previously, as a climate risk consultant at the World Bank Group, I helped shape strategies to mitigate climate change impacts on vulnerable communities. My work is more than just data and maps—it's about telling stories of our planet and finding innovative solutions for a better tomorrow.

Tech Stack for Modern GIS 🌏

My fascination with nature started early, and it has grown into a career where technology and science intersect. Through spatial data modeling and machine learning, I dive deep into our planet to uncover patterns and insights. Whether it’s using satellite images to map glacier melts or predict forest carbon, my work is about translating complex geodata into actionable intelligence. At Maya Climate, we are pioneering methods to make land assessments more accurate and accessible. By leveraging modern GIS, I strive to make the stories hidden beneath the pixels clearer with new eyes from space.

Time Series Analysis

Remote Sensing

Building a data solution to efficiently transform satellite imagery into quantitative insights at global scales
Google Earth Engine

Cloud Computing

Leveraging cloud-based big data to drive scientific research and informs evidence-based business decisions
Optical Imagery

Geosptial Data

Leverages satellite imagery and multi-dimensional data to provide powerful solutions for land assessment
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Climate Risk

By investigating the past, measuring the present, and modeling the future, we assess how climate change impacts the modern society
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Artificial Intellegence

Deep learning leverages big data to facilitate spatial decision-making, regardless of its complexity
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Statistical Modeling

Combining geospatial data with statistical modeling allows for effective and reliable assessment of natural hazards

Contributed Projects

Research Interest

climate-change

Climate Change Impacts

natural-hazards

Natural Hazards

glacier-melting

Cryosphere

Capturing the Journey

2019

Exchange @ Australian National University

Gaining my first experience in remote sensing

2021/22

Research @ German Aerospace Center

Taking part in climate change research

2022/23

Consultant @ World Bank Group

Applying earth observation knowledge for poverty reduction

2024

Geospatial Engineer @ Maya Climate

Driving data product development for land assessment

Moments in Time