Multispectral Imaging
Multispectral imaging is a technique that captures image data at specific wavelengths across the electromagnetic spectrum. This technology can be used for various applications, leveraging its ability to provide more information than the visible spectrum alone.
We use the Mavic 3 Enterprise Multispectral with its camera array combining Green, Red, Red Edge, and Near Infrared sensors.
- Near Infrared: 860 nm ± 26 nm
- Red: 650 nm ± 16 nm
- Red Edge: 730 nm ± 16 nm
- Green: 560nm ± 16 nm
These sensors support the NDVI, GNDVI, and NDRE vegetation indexes to provide vital information.
- NDVI: Makes it possible to detect plants under stress, differentiate between crops, and determine at which stage they are in their growing cycle.
- NDRE: Provides insights on chlorophyll content in leaves.
- GNDVI: Useful for estimating photosynthetic activity, as well as water and nitrogen content in the plant canopy.
Some uses and most common applications of multispectral imaging ...
Environmental Monitoring
Environmental Impact Studies
Assessing the environmental impact of mining activities.
Forestry Mapping
Assessing forest health over time, disease and pest infestation, corrective actions. Often combined with topographic mapping for detailed environmental understanding.
Vegetation Mapping
plant health and growth, quantification studies, invasive plant species monitoring, disease and pest assessments.
Agriculture
Crop Health Monitoring
By analysing specific bands of light, farmers can detect plant stress, disease, and nutrient deficiencies. It helps in precision agriculture by enabling targeted treatment.
Soil Analysis
Identifying soil composition and moisture levels to optimize planting and irrigation strategies.
Surveillance and Security
Object Detection
Enhancing visibility in various conditions, such as through smoke or in low light.
Material Identification
Differentiating materials that appear similar in the visible spectrum.
Geological Exploration
Resource Mapping
Identifying minerals and geological features by analysing their spectral characteristics.
Environmental Impact Studies
Assessing the environmental impact of mining activities.
Surveillance and Security
Object Detection
Enhancing visibility in various conditions, such as through smoke or in low light.
Material Identification
Differentiating materials that appear similar in the visible spectrum.
Aerial Surveys and Topographic Mapping
- Land Development
- Construction
- Environmental Monitoring
- Agriculture
- Forestry
PHOTOGRAMMETRY
2D Orthomosaic Model
A top-down interactive model constructed from multiple high-resolution photographs.
3D Photogrammetric Model
Entire targeted landscapes, buildings, infrastructure and features in a high resolution interactive 3D model
LiDAR
A LiDAR map is useful for industries such as forestry, agriculture/landscaping and complex infrastructure.
LiDAR produces a 3D point cloud and is very effective for mapping densely vegetated areas, collecting data in low-light environments and helping to detect small features, such as wires and cabling.
Multispectral
Enhanced Environmental Monitoring. Highly accurate and up-to-date information about target ecosystems to make informed decisions on plant health, water management, disease, species identification.