TECHNICAL DOCUMENTATION FOR PILOTS AND PHOTOGRAMMETERS

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Helpful tips for aerial image capture and photogrammetry

Drones Imaging processes your images (georeferenced or not) taken with a consumer digital camera.

No photogrammetry equipment is required.

Drones Imaging does not set any requirements for the resolution of your images. However, we recommend to use a camera with a minimum 20Mpx resolution for professional quality orthomosaic production.

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Guide for the preparation of an aerial photographic mission

Single & cross flights.

Depending on the level of complexity of the aerial shots to be taken: agriculture, rock faces, banks, rivers, historical monuments, topographic surveys, etc. Drones Imaging guides you and advises you on the optimal capture strategies.

Pitfalls to avoid.

Images overlap.

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Calculation grid for programming an aerial photogrammetric mission

In customer meetings, from your office or on your smartphone, this Excel calculation grid will allow you to study the technical feasibility of an aerial photogrammetric mission, to extract flight datas and camera settings.

Select your camera in the database, mention the flight height, length and the width of the area to be photographed and immediately obtain your time of flight, the frequency of the intervalometer, the number of shots to take, the resolution final and the weight of the orthomosaic to be delivered.

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Indice_végétation_NDVI_Drones_Imaging©

NDVI Normalized Difference Vegetation Index

Normalized difference vegetation index, also called NDVI, is built from the red (R) and near infrared (NIR) channels.

The normalized vegetation index highlights difference between red and near infrared bands: NDVI = (PIR-R) / PIR + R).

This index is sensitive to the vigor and density of vegetation.

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Indice_brillance_IB_Drones_Imaging©

IB bright index for soils

Brightness index is built from red (R) and near infrared (PIR) channels according to a calculation IB = √(RxR + PIRxPIR).

The brightness index represents the average brightness of the image. This index is therefore sensitive to the soils brightness, related to its humidity and the presence of salts on the surface. It mainly characterizes the albedo.

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