Phone: 0850 346 41 09 | Weekdays 10:00–18:00 · Technical support 24/7
Drone data processing turns the raw photos from a flight, through photogrammetry and multispectral analysis, into measurable outputs such as orthophotos, 3D surface models, NDVI crop-health maps, volume calculations and damage reports. We deliver them in formats that open directly in standard GIS software, and we also process imagery captured with your own drone.
A single flight can produce hundreds, sometimes thousands, of images. Until they are processed, they will not tell you which part of a field is under stress, how much earth has been moved on site or how many hectares a storm has damaged. All too often the images sit on a drive and decisions are still made by eye.
We turn raw drone imagery into measurable outputs: orthophotos, 3D surface models, NDVI maps, volume calculations and technical reports. Everything is delivered in formats that open directly in standard GIS software, and we can feed the results into your GIS application or management dashboard.
NDVI (Normalised Difference Vegetation Index) is calculated from multispectral imagery, and areas showing stress, disease or weak growth are highlighted on a colour map, so fertiliser and spraying can be targeted where they are needed.
Images are stitched through photogrammetry into high-resolution, georeferenced orthophotos and 2D maps. Plot boundaries, irrigation channels and access roads become measurable.
Point clouds and digital surface models (DSM) are generated, and cut-and-fill volumes, stockpile volumes, contour lines and drainage direction are calculated. Suited to construction, mining and infrastructure work.
After floods, hail or fire, the affected area is outlined on the map and its extent measured and reported, with imagery and measurements that can support an insurance claim.
Flights at regular intervals are compared to reveal deviations from the programme, while material stockpiles, scaffolding and plant positions are tracked in the same model.
Soiled and shaded panels are identified across solar sites. Where thermal imagery is available, faulty panels showing hot spots are listed with their locations.
A contractor has to agree cut-and-fill quantities with a subcontractor every month. The site is flown at regular intervals, and comparing the surface models from two periods gives the volume excavated and filled in between. The report goes into the valuation meeting with its measurement tables and map, so the discussion rests on measurements rather than estimates. For our wider work in construction, see construction and contracting.
Digital Bridge has served clients across Türkiye from Adana since 2013, with image processing, GIS and dashboards handled by the same team. Every project starts with a needs analysis, scope, phases and cost are set out in a written proposal, and technical support is available 24/7 after go-live.
If you have your own pilot or work with a flight contractor, simply send us the raw images and we take care of processing, mapping and reporting. Before the flight we share the image overlap, altitude and camera settings needed for reliable results. For continuous in-field measurement, we can combine this with precision agriculture sensors.
Guides worth reading before a flight: measuring stockpile volumes and cut-and-fill with a drone, what NDVI analysis is and how to read the map and drone crop yield estimation. More articles are in our data and analytics guides.
Tell us about your site, the outputs you need and any imagery you already have; we will agree the flight and processing plan with you and send a written proposal.
Call 0850 346 41 09 on weekdays between 10:00 and 18:00, or email info@digitalbridge.com.tr.
Drone data processing turns the hundreds or thousands of raw photos from a flight, through photogrammetry and multispectral analysis, into measurable outputs: orthophotos, 3D surface models, NDVI crop-health maps, volume calculations and technical reports. Unprocessed images tend to sit on a drive while decisions are still made by eye; processed data can be measured and opened directly in GIS software.
NDVI (Normalised Difference Vegetation Index) is a crop-health indicator calculated from multispectral imagery. Areas showing stress, disease or weak growth are highlighted on a colour map, so fertiliser and spraying can be targeted where they are needed instead of across the whole field. For continuous measurement, NDVI mapping can be combined with precision agriculture sensors.
Yes. Point clouds and digital surface models (DSM) are generated from the imagery, and cut-and-fill volumes, stockpile volumes, contour lines and drainage direction are calculated. This suits construction, mining and infrastructure projects. Flights at regular intervals can also be compared to track construction progress and reveal deviations from the programme.
Orthophotos are delivered as GeoTIFF, point clouds as LAS or PLY and surface models as DEM/DSM. NDVI maps come in raster and vector form, and vector data as SHP and KML. We also provide a PDF technical report, an interactive web map and Excel/CSV measurement tables. Everything opens directly in standard GIS software.
Yes. If you have your own pilot or work with a flight contractor, simply send us the raw images and we handle processing, mapping and reporting. Before the flight we share the image overlap, altitude and camera settings needed for reliable results. We can also feed the outputs into your GIS application or management dashboard.
Yes. After floods, hail or fire, the affected area is outlined on the map, its extent measured, and imagery and measurements are prepared that can support an insurance claim. On solar farms, soiled and shaded panels are identified; where thermal imagery is available, faulty panels showing hot spots are listed with their locations.
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