Our UAV systems autonomously cover large areas to capture high resolution data in visible or Near infrared (NIR) spectrum for producing highly detailed and accurate orthophotos, 3D Digital Elevation Models, topographic data, NDVI maps. The data provides valuable insights to our clients in terms of assessment, planning, site design and maintenance. Working with a variety of compact and portable UAV platforms suitable for varying situations, we provide quick, cost effective and safer solutions for geospatial data collection with resolutions as high as upto 1 cm/pixel.
Thousands of images acquired through low altitude UAV flights are seamlessly stitched and orthorectified to produce orthoimagery with much higher resolution and details as compared to satellite or off-the-shelf data.The data is accurately georeferenced and supplied in GIS compatible formats for the purposes of detailed base mapping, image classification, planimetric measurements, etc. The enhanced resolution of our data allows for better object recognition and feature extraction in addition to accurate measurements.
Our UAVs capture a large number of overlapping photos which are used to generate high density 3D point clouds and detailed digital elevation models (DEM) for extracting accurate topographic information.We offer survey grade topographic data coupled with incredibly detailed visualizations in GIS or CAD compatible formats. The high level of 3D detail and clearer object definition facilitates improved assessment of relief, slopes and obstructions and ensures highly accurate volumetric calculations.
True color(RGB) and near infrared(NIR) imagery is acquired over fields of interest and processed to extract decisive information in form of crop scouting maps, vegetation health index maps, automated plant counting, etc. While 2D true colour datasets give a detailed overview of the entire field for in-depth scouting, 3D datasets give information pertaining to plant height and crop uniformity. Near Infrared (NIR) imagery is used to create NDVI maps of agricultural fields to measure relative vegetation health within field and assess crops under stress. The combined information provides acute insights for taking decisions aimed at improving present as well as future yield. Additionally the data serves as a record for insurance claims.