Spectral Resolution in Remote Sensing?

🌐 What is Spectral Resolution in Remote Sensing! 🛰️

        1. Spectral Resolution refers to a sensor's capability to distinguish between different wavelengths of electromagnetic radiation. Whether it's visible light, infrared, or microwave, each wavelength holds unique information about our planet

        2. Spectral Resolution refers to how many spectral “Bands” a remote sensing sensor records

        3. Spectral Resolution is also defined by how “Wide” each band is or the range of wavelengths covered by a single band

🎨 What Spectral Image does in Remote Sensing 🚀

    Characterized by the number and width of spectral bands, higher spectral resolution empowers sensors to discern more narrow bands. This allows for a more detailed analysis of the spectral characteristics of observed objects, leading to applications in vegetation monitoring, mineral identification, land cover classification, and environmental studies.

Based on number of spectral wavelength and band the Remote Sensing images are classified in to 4 types

                        --> Panchromatic (0.4µm-0.9 µm)
                        --> Visible (0.4 µm -0.7 µm)
                        --> Multispectral
                        --> Hyperspectral

Spectral Band in Remote Sensing Images

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