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Microwave sensors and hyperspectral imaging systems play critical roles in fields such as agriculture, geology, and environmental monitoring by providing fine-resolution images and extracting valuable spectral information. The evolution of satellite technology, starting from Landsat missions to high-resolution commercial sensors like WorldView, showcases significant advancements in remote sensing capabilities, enabling diverse applications in resource management and urban planning. Moreover, understanding various types of images, including multispectral and hyperspectral, is essential for accurate data interpretation and analysis.
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References
5c.pdfClass Notes
Memorization
What we have learnt
Final Test
Revision Tests
Term: Microwave Sensors
Definition: Devices that use microwave radiation to collect data for applications in agriculture, soil moisture retrieval, and environmental monitoring.
Term: Hyperspectral Imaging
Definition: A technique that captures images across hundreds of narrow spectral bands, facilitating the identification of materials based on their unique spectral signatures.
Term: Landsat Satellites
Definition: A series of satellite missions specifically designed to capture medium-resolution multispectral images of the Earth, crucial for resource management and land cover analysis.
Term: SPOT Satellites
Definition: A program of high-resolution optical imaging Earth observation satellites that provide enhanced image detail and stereo capabilities.
Term: Remote Sensing
Definition: The acquisition of data about an object or phenomenon from a distance, often using satellite or aerial imagery.