Hyperspectral imaging
Investigations beyond the visible
Hyperspectral images capture electromagnetic radiation over hundreds of narrow and adjacent spectral bands, providing a unique spectral signature for each object observed. Compared to traditional imagery, they allow for much more detailed analysis for distinguishing between plant species, agricultural crops, and algal communities, or for detecting critical environmental conditions, such as areas subject to vegetative stress, asbestos-cement roofing, and the presence of pollutants or contaminants.
COMBINATION OF BANDS
Advanced spectral data analysis
Each spectral band detects a specific portion of the light reflected or emitted by objects, enabling thematic and diagnostic analysis at the highest level.
RGB and CIR (Colour InfraRed) composites
Vegetation indices (such as NDVI)
Principal component analysis (PCA)
Thematic masks and classification maps
Applications
Agriculture
Land use mapping, crop health monitoring, precision agriculture.
Forestry
Vegetation status analysis, forest fire prevention and detection.
Environment and land management
Contamination detection, water resource management, environmental monitoring, mineral identification, mapping of palaeoalvements and geological structures.
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