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Demonstration on extracting features such as Building Footprints, Roof Forms & Power Lines from LiDAR (Laser) Imagery. Precise modelling of 3D features is useful in planning, monitoring & risk management workflows, particularly in sectors such as Real Estate & Utilities.

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Object or Feature detection is done by manipulating the reflectance bands of Multispectral Imagery and/or by deploying algorithms that can classify and demarcate the desired objects. Explore this Ship Detection case in the Suez Canal performed pre, during & post the massive Ever Given container vessel stranding in 2021.

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Due to active source of illumination onboard certain satellites, Radar (SAR) Imagery can be acquired at night and it can penetrate clouds too, unlike Optical Multispectral Imagery. Hence, it is useful for applications which need continuous terrain or atmospheric monitoring such as measuring Crop Growth or Air Pollution. Explore this study on Paddy growth patterns in Vietnam's Rice Belt. Other demos are available on our website.

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Sensors such as LST (Land Surface Temperature) on Earth Observation satellites help in deriving Urban Heat Index.

UHI highlights which regions are prone to excess heating than its surroundings due to dense urban landscapes which result in quick absorption and prolonged retention of solar radiation.

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Processing Multispectral Satellite Imagery helps to classify Crops, measure Snow Cover and monitor Marine ecosystems besides other use cases. Explore this popular article of ours on monitoring Sargassum Seaweed invasion in the Caribbean Sea.

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Where more granular classification is required - such as segregating Urban Land Cover or to discern the health of particular types of Vegetation - Hyperspectral Imagery is preferred over Multispectral Imagery. Explore this case involving the classification of Land Cover in Berlin, Germany using Imaging Spectroscopy (HI).