Skip to main content

Father of GIS

Roger F. Tomlinson, OC (17 November 1933 – 7 February 2014)was an English geographer and the primary originator of modern computerised geographic information systems (GIS), and has been acknowledged as the "father of GIS."
Dr. Tomlinson was a native of Cambridge (England) and prior to attending university, he served in the Royal Air Force from 1951–1954 as a pilot and flying officer.

After his military service, Dr. Tomlinson attended the University of Nottingham and Acadia University for two separate undergraduate degrees in geography and geology, respectively. He received a master's degree in geography from McGill University where he specialised in the glacial geomorphology of Labrador. His Doctoral thesis at University College London was titled: The application of electronic computing methods and techniques to the storage, compilation, and assessment of mapped data.

Dr. Tomlinson's early career included serving as an assistant professor at Acadia, working as the manager of the computer mapping division at Spartan Air Services in Ottawa, Ontario (following his studies at McGill), and work with the Government of Canada first as a consultant and later as a director of regional planning systems with the Department of Forestry and Rural Development.

It was during his tenure in the 1960s with Ottawa-based aerial survey company Spartan Air Services that Dr. Tomlinson conceptualized combining land use mapping with emerging computer technology. This pioneering work led him to initiate, plan and direct the development of the Canada Geographic Information System, the first computerised #GIS in the world.

From the 1970s until his death, Dr. Tomlinson worked in geographic consulting and research for a variety of private sector, government, and non-profit organisations, largely through his Ottawa-based company, #Tomlinson Associates Ltd., which has branches of consulting geographers in Canada, the United States, and Australia.

He was Chairman of the International Geographical Union GIS Commission for 12 years. He pioneered the concepts of worldwide geographical data availability as Chairman of the IGU Global Database Planning Project in 1988. He was also a president of the Canadian Association of #Geographers.

Comments

Popular posts from this blog

Quantitative Revolution in Geography

The Quantitative Revolution was a major change in Geography during the 1950s and 1960s. It introduced mathematical, statistical and scientific methods to understand geographical phenomena. Before this revolution, geographers mainly described places, regions, landscapes and differences between areas. After the revolution, they increasingly used numerical data, statistical analysis, mathematical models and theories to explain why geographical patterns occur and how they may change. For example: Traditional approach: Describe the distribution of population in different regions. Quantitative approach: Use statistical methods to identify population patterns, explain the factors influencing population distribution and predict future population growth. The revolution helped establish Geography as a spatial science, focusing on the location, distribution, relati...

Satellite Remote Sensing: Concepts and Imaging Systems

  Satellite remote sensing relies on detectors (sensors) that measure reflected/emitted electromagnetic radiation from the Earth. How sensors collect data depends on: Spectral coverage → Multispectral (few bands), Hyperspectral (hundreds), Thermal, Microwave. Detector type → Discrete detectors, linear arrays, or area arrays. Scanning mechanism → Scanning mirrors (whiskbroom) vs. linear arrays (pushbroom). Multispectral Imaging Using Discrete Detectors and Scanning Mirrors (Whiskbroom scanners) Principle : A single detector (or a few detectors) measures radiation one pixel at a time. A scanning mirror sweeps across-track (perpendicular to the satellite path) to build up the image line by line. The forward motion of the satellite provides the along-track dimension. Known as a whiskbroom scanner . Characteristics : Good calibration stability. Narrow instantaneous field of view (IFOV). Susceptible to mechanical wear (moving ...

Spectral Signature vs. Spectral Reflectance Curve

Spectral Signature  A spectral signature is the unique pattern in which an object: absorbs energy reflects energy emits energy across different wavelengths of the electromagnetic spectrum. ✔ Key Points Every natural and man-made object on Earth interacts with sunlight differently. These interactions produce a distinct pattern , just like a "fingerprint". Sensors on satellites record these patterns as digital numbers (DN values) . These patterns help to identify and differentiate objects such as vegetation, soil, water, snow, buildings, minerals, etc. ✔ Examples of Spectral Signatures Healthy vegetation → High reflectance in NIR , strong absorption in red Water → Strong absorption in NIR and SWIR , low reflectance Dry soil → Gradual increase in reflectance from visible to NIR Snow → High reflectance in visible , low in SWIR ✔ Why Spectral Signature Matters It allows: Land cover classification Chan...

Geometric Correction

When satellite or aerial images are captured, they often contain distortions (errors in shape, scale, or position) caused by many factors — like Earth's curvature, satellite motion, terrain height (relief), or the Earth's rotation . These distortions make the image not properly aligned with real-world coordinates (latitude and longitude). 👉 Geometric correction is the process of removing these distortions so that every pixel in the image correctly represents its location on the Earth's surface. After geometric correction, the image becomes geographically referenced and can be used with maps and GIS data. Types  1. Systematic Correction Systematic errors are predictable and can be modeled mathematically. They occur due to the geometry and movement of the satellite sensor or the Earth. Common systematic distortions: Scan skew – due to the motion of the sensor as it scans the Earth. Mirror velocity variation – scanning mirror moves at a va...

RADIOMETRIC CORRECTION

  Radiometric correction is the process of removing sensor and environmental errors from satellite images so that the measured brightness values (Digital Numbers or DNs) truly represent the Earth's surface reflectance or radiance. In other words, it corrects for sensor defects, illumination differences, and atmospheric effects. 1. Detector Response Calibration Satellite sensors use multiple detectors to scan the Earth's surface. Sometimes, each detector responds slightly differently, causing distortions in the image. Calibration adjusts all detectors to respond uniformly. This includes: (a) De-Striping Problem: Sometimes images show light and dark vertical or horizontal stripes (banding). Caused by one or more detectors drifting away from their normal calibration — they record higher or lower values than others. Common in early Landsat MSS data. Effect: Every few lines (e.g., every 6th line) appear consistently brighter or darker. Soluti...