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Location – Where the object is found on the map or photo. Knowing the place can give clues about what it is.
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Size – How big or small it appears, which helps identify objects (e.g., a football field vs. a garden).
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Shape – The outline or form of the object, such as round, rectangular, or irregular.
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Shadow – The dark area an object casts; it helps guess height, shape, and type of object.
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Tone/Color – Lightness, darkness, or color differences that help tell objects apart (e.g., blue water, green vegetation).
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Texture – How smooth or rough the surface looks in the image (e.g., forest appears rough, grassland appears smooth).
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Pattern – The arrangement or repetition of objects, like rows of trees or grid-like city blocks.
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Height/Depth – How tall or deep an object or landform is, often estimated from shadows or stereo images.
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Site/Situation/Association – The surroundings and relationships between objects (e.g., a swimming pool next to a house, or a factory near a railway line).
Remote Sensing means collecting information about the Earth's surface without touching it , usually using satellites, aircraft, or drones . There are different types of remote sensing based on the energy source and the wavelength region used. 🛰️ 1. Active Remote Sensing 📘 Concept: In active remote sensing , the sensor sends out its own energy (like a signal or pulse) to the Earth's surface. The sensor then records the reflected or backscattered energy that comes back from the surface. ⚙️ Key Terminology: Transmitter: sends energy (like a radar pulse or laser beam). Receiver: detects the energy that bounces back. Backscatter: energy that is reflected back to the sensor. 📊 Examples of Active Sensors: RADAR (Radio Detection and Ranging): Uses microwave signals to detect surface roughness, soil moisture, or ocean waves. LiDAR (Light Detection and Ranging): Uses laser light (near-infrared) to measure elevation, vegetation...
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