Elevate Your Projects with Our Drone Solutions
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Our software will stitch together the hundreds of aerial images to compose a single image of the whole area under investigation.
The Latitude and Longitude of every point in the two dimensional picture will reflect closely the real position on the ground.All measurements on the computer screen are up to scale with the actual measurements at the site.
The model depicts the elevation of all the surfaces from a bird’s eye view by using false coloring to show the heights
of each and every surface from treetops, roof tops, grounds, pits, lake and pond surfaces, etc.
The software will take away all above ground elements, whether it be building structures, trees, etc. and leave only the ground level terrain showing the false coloring of different terrain elevations. These models are very helpful in water resource management projects, soil conservation study as well as soil erosion determination.
The ability to reconstruct a 3D representation will help in the visualization of the whole area underinvestigation. It can also be used asinputs into other application software such as the simulation program for training rescue workers in disaster preparedness.
NDVI Maps are the tools used to determine “Plant Health”, images taken with a multispectral drone mounted camera once processed will generate an NDVI Map that identifies “stressed areas” within the plantation or field. This can be due to numerous reasons such as lack of water, insufficient nutrients, plant disease, water logging,
poor irrigation, etc. Corrective actions can then betaken to remedy the particular situation to minimize the loss in yield. This constitutes what is today known as “Precision Agriculture”.
The accuracy of the 3D model generated is more than sufficient to determine the volume of a specified area where the boundaries can be clearly identified.This new method can replace the traditional means of onsite surveys by achieving the same or better accuracy in determining the volume of stock piles, quarry or open pit mine measurements.
Our software will stitch together the hundreds of aerial images to compose a single image of the whole area under investigation.
The Latitude and Longitude of every point in the two dimensional picture will reflect closely the real position on the ground.All measurements on the computer screen are up to scale with the actual measurements at the site.
The model depicts the elevation of all the surfaces from a bird’s eye view by using false coloring to show the heights
of each and every surface from treetops, roof tops, grounds, pits, lake and pond surfaces, etc.
The software will take away all above ground elements, whether it be building structures, trees, etc. and leave only the ground level terrain showing the false coloring of different terrain elevations. These models are very helpful in water resource management projects, soil conservation study as well as soil erosion determination.
The ability to reconstruct a 3D representation will help in the visualization of the whole area underinvestigation. It can also be used asinputs into other application software such as the simulation program for training rescue workers in disaster preparedness.
NDVI Maps are the tools used to determine “Plant Health”, images taken with a multispectral drone mounted camera once processed will generate an NDVI Map that identifies “stressed areas” within the plantation or field. This can be due to numerous reasons such as lack of water, insufficient nutrients, plant disease, water logging,
poor irrigation, etc. Corrective actions can then betaken to remedy the particular situation to minimize the loss in yield. This constitutes what is today known as “Precision Agriculture”.
The accuracy of the 3D model generated is more than sufficient to determine the volume of a specified area where the boundaries can be clearly identified.This new method can replace the traditional means of onsite surveys by achieving the same or better accuracy in determining the volume of stock piles, quarry or open pit mine measurements.