Infrastructure Inspection

 

Electricity networks: high and medium voltage networks

Fuels: oil and gas pipelines

Thermal plants and photovoltaic solar, wind, dams, ...

Land: Streets and highways, bridges, railway lines ...

Maritime: Port infrastructure and channels

Networks of mobile antennas

Buildings, skyscrapers, work ...

Preservation of historical and cultural heritage

Accident Scene Preservation

 

Regardless of which type of fuel caused an explosion, the damage and blast pattern are vital to the investigation.  UAS aerial imagery becomes a valuable tool for investigators while preserving the data.

  • Aviation- accident scenes, debris fields, airframe, airport damage
  • Rail- accident scenes, debris fields, tunnels, bridges, stations, yards, switch gear
  • Marine- accident site, debris fields, hull, holds, main deck
  • Automobile and transport vehicle- accident site, intersection, skid markings, debris

Weather it is a small fire or a catastrophic blaze, UAS Aerial imagery provides meaningful data to assist in determining the cause and origin.

Power and Gas Utilities infrastructure includes major and complex equipment.  When there is a failure of such infrastructure, UAS aerial imagery and 3D data mapping becomes a key tool in solving the matter.

Agriculture

 

This is a very simple vegetation index, commonly used for a fast delineation of canopy cover using low-altitude sensors. It can quickly depict water, shadows, soil and vegetation. It has limited capacity to render plant vigor /stress information.Electricity networks: high and medium voltage networks fuels: oil and gas pipelines. Thermal plants and photovoltaic solar, wind, dams, ...

The Field Uniformity Tool makes it possible to quantify plot-level statistics on plant count, height, vigor, leaf area and canopy cover. Drawing data from your other licensed algorithms (Row-Based Plant Counting Tool, Plant Height, Canopy Cover, Leaf Area and Vegetation Indices) , it calculates the maximum, minimum, mean and standard deviation for each plot or user-defined grid cell.

Working from high-resolution images of post-emergence crops and employing innovative rules-based reasoning, the Row-Based Plant Counting Tool is able to deliver accurate plant counts from your survey. You identify examples of what is and is not plant material on the image, and you’ll receive an accurate estimate of the number of plants and the leaf area of each row.

Soil Adjusted Vegetation Index Stage 1

This index takes into account for light contribution of soil. The Stage 1 algorithm is adjusted for early season use, when there are clearly separated rows or plants where soil is very apparent. Correlated with leaf area values and plant vigor.

Soil Adjusted Vegetation Index Stage 2

This index takes into account for light contribution of soil. The Stage 2 algorithm is adjusted for mid season use, when plants do not touch but canopies make a uniform shadow and rows are separated. Correlated with leaf area values and plant vigor.