Aerial Data Collection and Processing
Salix utilizes both small unmanned aircraft systems (sUAS) and manned aircraft systems to efficiently and accurately collect aerial imagery that can be processed into meaningful, actionable data. We use high resolution sensors coupled with high accuracy GNSS receivers using the latest in post-processing kinematics (PPK) and real-time kinematic (RTK) technologies. This reduces time needed to lay traditional ground controls to just a few check point shots. Our methods allow us to cover sites from just a few acres to several thousand acres in a single day at high resolution and accuracy.
- Real Estate
Salix produces a variety of mapping products from the aerial data collection and processing. We work directly under the supervision of a licensed PLS when required for the deliverable. These products can be further leveraged with our in house spatial analytics and data hosting. For example, we can provide remote sensing analytics and imagery classification/model training on the orthomosaics. For more information see the Spatial Analytics section under Geographic Information Systems (GIS) page here
High-resolution aerial imagery collected and processed into seamless orthophotos. Average ground sampling distance or pixel size of 2″ or less depending on application. That is each pixel within the orthophoto is representative of 2″ x 2″ or better on earth’s surface. See an example orthomosaic on a web map here:
- RGB and NIR (Near-Infrared)
- XYZ Slippy Map Tiles (Google) and Custom Map Tiling Services
- Web Hosting and Serving
Imagery is processed into dense point clouds from keypoints on the images. Our software uses these keypoints to find matches between the images and from these initial matches, the software runs an Automatic Aerial Triangulation (AAT) and Bundle Block Adjustment (BBA) to produce a colorized point cloud. The point clouds can be further classified into categories such as ground and vegetation. Interact with a point cloud in your web browser here:
- LAS: XYZ position and RGB color values
- LAZ: Compressed LAS XYZ position and RGB color values
- PLY: PLY file with X,Y,Z position and color information
- XYZ: ASCII text file with the X,Y,Z and color information
Digital surface models and bare earth extraction from classified, filtered and denoised point clouds to an elevational dataset. Used extensively as part of our terrain analysis toolbox producing hydrologic models, irrigation planning, solar irradiance modeling for site selection, surface shading and viewsheds/line of sight analysis among others.
- Digital Surface Models (DSM) and Digital Terrain Models (DTM) for bare earth representation in TIFF
- Grid DSM (XYZ, LAS and LAZ)
- Hillshades and Relief Maps
- Slope and Aspect Maps
After denoising and filtering our surface models we produce elevation contours to any desired interval. This method produces smooth and representative surface contours. Easily incoprated into CAD/GIS for further analysis and site visualization.
- Shapefiles (SHP) or File Geodatabase Feature Class (GDB)
3D Meshes are produced from the point cloud elevational and orthomosaic RGB values. Several popular file formats are available and can be readily uploaded into Sketchfab or similar software. See an example mesh of Half-Dome collected from a manned airplane here:
- 3D PDF
Imagery collected in the near infrared (NIR) band is processed into a seamless orthomosaic. The collection of data in this band allows, for example, vegetative indexes to be calculated such as NDVI.
- Multispectral imagery in the near-infrared spectrum (NIR)
- Vegetation and Crop Monitoring
- Prescription Maps
- Zonal Statistics
- Change Detection
Salix also provides data processing services for clients that wish to collect their own aerial imagery with their own equipment or drone. Salix has purpose built computers dedicated to image and LiDAR processing and can further utilize web servers to process both large and small datasets to the clients requested end requirements without having to invest in specialty software and powerful computers. After processing, the final dataset can be handed off or further leveraged through our spatial analytic pipeline to clients end requests.