Orthomosaics, 3D Modals, Shapefiles, and Reports
Our system can generate orthomosaics for fields as small as a few acres to over 65 square miles. This imagery can be used for a variety of industries including agriculture, inspections, detection, mapping, and more. We georectify all orthomosaics to ensure accuracy, but when provided with ground control points (GCPs) our accuracy can be within inches.
All of our data is manually quality controlled to ensure there are no artifacts or other imperfections and that the orthomosaic aligns with any basemap.
The resolution of orthomosaic we create is depended on the resolution of the images used. While our standard products are downsampled to 0.25 meters per pixel, we can process 1-inch drone imagery and 3-inch aerial imagery.
The maximum resolution of our orthomosaics is dependent on the resolution of the images collected. For our standard products, we scale this to 0.25 meters (9.8 inches) per pixel to ensure a 24-hour turnaround. Our satellite data has a resolution of 9 meters (26 feet) per pixel. All satellite data is provided shortly after the satellite takes the imagery and historical data is available.
Depending on the terrain, the content of the field, and the camera used our system is capable of doing even higher resolutions. All max resolutions fields are not given the 24-hour guarantee but, depending on the current server workload, max resolutions fields can be processed in under 24 hours. While the resolution is the primary factor in turnaround time, 3D max resolution data products have a longer processing time due to the additional computations needed.
Orthomosaics are large maps created by using many smaller images from drones and aircraft. The data these maps provide has been used for city mapping as well as inspection of powerlines and oil pipelines.
There are several different processing workflows that can be used when creating RGB or NIR orthomosaic. Our system will use the optimal method to minimize artifiacting within the orthomosaic.
For agriculture and scientific projects, we make orthomosaics that show content top-down. These orthomosaics are analyzed by AgPixel to create NDVIs to assess plant health. For other mapping projects, we place an emphasis on making orthomosaics that are as visually accurate as possible. These are used for visual inspections of pipelines, waterways, powerlines, and more. These orthomosaics can have isometric properties that can show the side of buildings and other features. These projects have an emphasis on analyzing what is present on the ground so they cannot have any imperfections in them. Read more about the challenges in creating these different orthomosaics.
Our orthomosaics are analyzed by AgPixel to provide vegetation indexes that can be used to monitor plant health. These are primarily used for agricultural purposes and can be uploaded to third parties such as John Deere, AgX, and SST.
Vegetation indexes are created by analyzing an orthomosaic's pixels using different mathematical formulas. This processing and analysis is done by AgPixel, a team of dedicated experts that specialize in vegetation analysis. AgPixel offers 27 different vegetation indexes, and can perform specialized analysis if needed.
Digital Elevation Models & Contours
Digital Elevation Models are orthomosaics that are colored to show changes in elevation. Similarly, contours are shapefiles showing the same information with elevation data.
Digital elevation models (DEM) cover digital terrain models (DTM) and digital surface models (DSM). While both of these models display changes in elevation, a digital terrain model only shows changes in ground elevation, while a digital surface model includes features such as buildings (learn more here). These models are colorized so you can easily determine points of high and low elevation. Together the terrain and surface models can be used to calculate height maps that can be used to measure the height different between features.
Volumetrics & 3D Models
By capturing oblique imagery a detailed 3D model. Using this model we can extrapolate the the volume of a stockpile that has been added or removed.
When collecting imagery for 3D projects that require volumetrics using drones can provide the best results. This is because you can easily capture oblique imagery from different angles to create a detailed 3D model.
A 3D model is created by analyzing how the scene changes from image to image. Our system uses these changes to create a 3D model. Once a 3D model is created a plane can be made through the model, the space between this plane and the model is where the volumetric calculation comes from.
Volumetrics is a calculation of how much something has been added or removed from a particular area. While similar to a heightmap, volumetrics is a more accurate calculation of a single feature. In order to gather accurate volumetric data ground control points (GCPs) must be provided. GCPs provide us with a spatial frame of reference that allows us to make a to-scale 3D model.
After the volumetrics are calculated a report describing what the calculated volume is and the error within that calculation is made.