Surveying & Mapping

A drone image that has been corrected for lens distortion, camera tilt, perspective, and
topographic relief (i.e., elevation changes on the Earth’s surface) and stitched together in post-processing to create a large map-quality image with a high level of detail and resolution.

A photorealistic depiction of a location is provided by orthomosaic maps, which can yield surveyor-grade measurements of the topography, infrastructure, and buildings in a given area. Numerous orthoimages, also known as orthophotos, make up each an orthomosaic map.

3D point cloud data, presents three-dimensional coordinate information,
i.e., X, Y, and Z elements. Sometimes it also contains colour information, reflection
intensity information, echo count information, etc.

Thousands or perhaps millions of georeferenced points are arranged in a 3D visualisation called a point cloud. Point clouds are frequently used in industry-standard software because they offer high-resolution data without the distortion that can occasionally be present in 3D mesh models.

A digital surface model is a ground elevation model that includes the height of surface buildings, bridges, trees, etc. DEM is often used as a generic term for digital surface model (DSMs) and digital terrain model (DTMs) only representing height information without any further definition about the surface.

A DTM is frequently necessary for flood or drainage modelling, land-use studies, geological applications, and other applications, as well as in planetary science, even if a DSM may be useful for landscape modelling, city modelling, and visualisation applications.

The main goal of our use of thermal mapping is to identify any faults or damage to the solar panels so that owners can ask the manufacturers for a warranty or replacement.

We get crucial data about solar power plants through drone surveys and thermal mapping. A thorough inspection of a solar farm can identify cell flaws, cell failure, dirt on photovoltaic cells, interconnection problems, solar cell degradation, decreased operational efficiency, etc.

Multispectral images are a very effective tool for assessing soil productivity and analysing plant health. Infrared and ultraviolet light, as well as other wavelengths in the electromagnetic spectrum not seen in the visible range, are all captured and recorded by multispectral imaging.

Farmers can gain deeper, more precise, and timely insights to help identify problem areas in a field, such as sections that are stressed due to disease, pests, water stress, or nutrient deficiencies. This is done by having access to multispectral data and the subsequently obtained Vegetation Index data, such as NDRE and NDVI. In forestry, multispectral imagery can be used to identify and map various features of the forest, such as tree species, tree health, and biomass.

It can also be used to detect and monitor changes in the forest over time, such as the spread of disease or the impact of logging