Multispectral drones operate by flying over a designated area and capturing images in different spectral bands simultaneously. These images are then processed using specialized software to produce detailed maps and indices, such as the Normalized Difference Vegetation Index (NDVI), which are used to assess plant health, detect stress, and monitor crop growth.
Sensor Calibration: Before each flight, the multispectral sensors may need to be calibrated to ensure accuracy in data collection. This step is crucial as it accounts for environmental factors like light conditions.
Data Capture: As the drone flies over the target area, it captures images in different spectral bands. These images are georeferenced, meaning they are tagged with precise location data.
Data Processing: After the flight, the captured data is processed using photogrammetry or remote sensing software. This step involves stitching the images together to create a comprehensive map and calculating various vegetation indices.
Analysis: The processed data is then analyzed to extract insights relevant to the application, such as detecting areas of crop stress, assessing soil health, or identifying water bodies.
