Multispectral Imaging. Remote Sensing ensing

Multispectral imaging is a remote sensing technique that involves capturing data from multiple discrete bands of the electromagnetic spectrum. Each band corresponds to a specific range of wavelengths. The main idea behind multispectral imaging is to gather information about the Earth's surface by observing how different materials reflect or emit light at different wavelengths.

In multispectral imaging, satellite sensors are equipped with multiple detectors, each sensitive to a different wavelength range. By analyzing the data from these detectors, researchers and analysts can identify various features on the Earth's surface, such as vegetation, water bodies, urban areas, and more. This information can be used for tasks like land cover classification, environmental monitoring, and agricultural assessment.

Some important satellites with multispectral sensors include:

1. Landsat series: The Landsat satellites, operated by NASA and the USGS, have been providing multispectral data for decades. They offer a range of multispectral sensors, including the Thematic Mapper (TM) and Operational Land Imager (OLI), which capture data in different wavelength bands.

2. Sentinel-2: Operated by the European Space Agency (ESA), the Sentinel-2 satellites are part of the Copernicus program. They carry the MultiSpectral Instrument (MSI), which provides high-resolution multispectral imagery in 13 spectral bands.

3. MODIS (Moderate Resolution Imaging Spectroradiometer): A sensor on NASA's Terra and Aqua satellites, MODIS captures data in a range of spectral bands. While not as high-resolution as some other sensors, MODIS provides global coverage and is used for monitoring large-scale environmental changes.

4. WorldView-2 and WorldView-3: These satellites, operated by DigitalGlobe, offer very high-resolution multispectral imagery for various applications, including urban planning, disaster management, and agriculture.

5. Landsat-8: The latest addition to the Landsat series, Landsat-8 carries the Operational Land Imager (OLI) sensor, which provides improved capabilities for land cover monitoring and environmental assessment.

These satellites play a crucial role in monitoring and understanding our planet's changing environment, providing valuable data for research and decision-making across various fields.

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REMOTE SENSING INDICES

Remote sensing indices are band ratios designed to highlight specific surface features (vegetation, soil, water, urban areas, snow, burned areas, etc.) using the spectral reflectance properties of the Earth's surface. They improve classification accuracy and environmental monitoring. 1. Vegetation Indices NDVI – Normalized Difference Vegetation Index Formula: (NIR – RED) / (NIR + RED) Concept: Vegetation reflects strongly in NIR and absorbs in RED due to chlorophyll. Measures: Vegetation greenness & health Uses: Agriculture, drought monitoring, biomass estimation EVI – Enhanced Vegetation Index Formula: G × (NIR – RED) / (NIR + C1×RED – C2×BLUE + L) Concept: Corrects for soil and atmospheric noise. Measures: Vegetation vigor in dense canopies Uses: Tropical rainforest mapping, high biomass regions GNDVI – Green Normalized Difference Vegetation Index Formula: (NIR – GREEN) / (NIR + GREEN) Concept: Uses Green instead of Red ...

Atmospheric Window

The atmospheric window in remote sensing refers to specific wavelength ranges within the electromagnetic spectrum that can pass through the Earth's atmosphere relatively unimpeded. These windows are crucial for remote sensing applications because they allow us to observe the Earth's surface and atmosphere without significant interference from the atmosphere's constituents. Key facts and concepts about atmospheric windows: Visible and Near-Infrared (VNIR) window: This window encompasses wavelengths from approximately 0. 4 to 1. 0 micrometers. It is ideal for observing vegetation, water bodies, and land cover types. Shortwave Infrared (SWIR) window: This window covers wavelengths from approximately 1. 0 to 3. 0 micrometers. It is particularly useful for detecting minerals, water content, and vegetation health. Mid-Infrared (MIR) window: This window spans wavelengths from approximately 3. 0 to 8. 0 micrometers. It is valuable for identifying various materials, incl...

Landsat band composition

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Landsat 8 Band designation and Band Combination.

Landsat 8 Band designation and Band Combination. Landsat 8-9 Operational Land Imager (OLI) and Thermal Infrared Sensor (TIRS) Bands Wavelength (micrometers) Resolution (meters) Band 1 - Coastal aerosol 0.43-0.45 30 Band 2 - Blue 0.45-0.51 30 Band 3 - Green 0.53-0.59 30 Band 4 - Red 0.64-0.67 30 Band 5 - Near Infrared (NIR) 0.85-0.88 30 Band 6 - SWIR 1 1.57-1.65 30 Band 7 - SWIR 2 2.11-2.29 30 Band 8 - Panchromatic 0.50-0.68 15 Band 9 - Cirrus 1.36-1.38 30 Band 10 - Thermal Infrared (TIRS) 1 10.6-11.19 100 Band 11 - Thermal Infrared (TIRS) 2 11.50-12.51 100 Vineesh V Assistant Professor of Geography, Directorate of Education, Government of Kerala. https://www.facebook.com/Applied.Geography http://geogisgeo.blogspot.com

Energy Interaction with Atmosphere and Earth Surface

In Remote Sensing , satellites record electromagnetic radiation (EMR) that is reflected or emitted from the Earth. Before reaching the sensor, radiation interacts with: The Atmosphere The Earth's Surface These interactions control how satellite images look and how we interpret them. I. Interaction of EMR with the Atmosphere When solar radiation travels from the Sun to the Earth, four main processes occur: 1. Absorption Definition: Absorption occurs when atmospheric gases absorb radiation at specific wavelengths and convert it into heat. Main absorbing gases: Ozone (O₃) → absorbs Ultraviolet (UV) Carbon dioxide (CO₂) → absorbs Thermal Infrared Water vapour (H₂O) → absorbs Infrared Concept: Atmospheric Windows These are wavelength regions where absorption is very low, allowing radiation to pass through the atmosphere. Remote sensing depends on these windows. For example, satellites like Landsat 8 use visible, near-infrared, and thermal bands located in atmospheric windows. 2. Trans...

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