Standard outputs

Drone Based Mapping, using a range of photographic sensors and photogrammetry software, an area can be mapped in high quality.

Orthophotomosaic generated from drone imagery (left) in comparison with Google Earth Image (right).

The postprocessing results in an orthophoto mosaic, with the edition of a 3D model and Digital Elevation Models (DEM’s) as standard output.

Projected, geo-rectified orthophotomosaic
Digital Elevation Model
B_3dModel

Measurements

Measurements include basic measurements of any object visible in the imagery besides more complex measurements, e.g. 3D based volumetric measurements in comparison to the ground level; this can include excavations and stockpile measurements.

Volumetric analysis
Volumetric analysis
Digetal Elevation Model of areas of interst

Vegetation Analysis

Near-Infrared or Red Edge spectral images can be used to extract among other, vegetation. With a combination of the Red spectrum, NDVI’s can be calculated. The NDVI provides plant health status and can be of great value for the agriculture and conservation community, where the health status of vegetated areas are of importance.

Raw drone image date from a Red Edge sensor stitched into a geo-rectified orthophotomosaic
Vegetation analysis will extract all living plants.
The Identified vegetation are overlayed with the Normalized Difference Vegetation Index (NDVI) result to indicate plant heath and with the Digital Elevation Model (DEM) to indicate the tree height.

Feature extraction

Client-specific, customised automated object extraction for a range of visible object within the surveyed data are available. Examples include wildlife counting and morphometric data extraction, Vegetation species-specific data extraction, geographical feature extraction and habitat mapping.

Automated Identification of the Arabian Oryx, feature extraction (polygon file in .shp format) & measurements of each object.
Vegetation analysis will extract all living plants.
The Identified vegetation are overlayed with the Normalized Difference Vegetation Index (NDVI) result to indicate plant heath and with the Digital Elevation Model (DEM) to indicate the tree height.

Data digitisation

Digitising drone base imagery data to be used in a GIS. The data include raster and vector data types. In a range of file formats like KML, .shp, .tiff & PDF. With customised projection as per the customers needs to ensure easy integration with existing geo-databases

GIS analysis

A GIS analysis of post-processed drone-based data can include the following: Cut and fill analysis, watershed, contour, point pattern analysis and hotspot analysis.

Contour analysis from drome imagery.