![]() ![]() The word Ortho was adopted from the Greek Loanword definition of Ortho, which means “correct” or “right” and mosaic to briefly describe the process of photogrammetry. You may not find the word orthomosaic within the English dictionary. Similar to what you will find in Google Maps, drone mapping creates an orthomosaic image consisting of many different images stitched together. One of the reprocessed maps (pictured) belonged to Kevin Wright, a corn and soybean grower and commercial drone pilot in Illinois.Through use of drone mapping software, surveyors can create detailed aerial, topographical maps of large land areas in a fraction of the time and significantly less manpower compared to previous land-based survey methods. ![]() Extensive testing demonstrated that incomplete maps processed using the previous stitching algorithm resulted in complete maps 90% to 95% of the time when reprocessed using the improved algorithm. Fortunately, after analyzing data from over 10 million acres mapped and hearing feedback from hundreds of users, DroneDeploy has made significant improvements to a proprietary processing algorithm to address the specific challenges of late-stage field maps. Farmers who have used drones for mapping in the past are all too familiar with what can result: maps with holes, warped areas, or even maps that fail to process at all. In 10-foot-tall corn, it can be very difficult to spot unique points from image to image. Late-stage crops pose a challenge for mapping software, which relies upon identifying unique points that appear in several different images to stitch together a map. "This partnership gives DroneDeploy customers access to the accuracy and specificity of SLANTRANGE's true multispectral imagery." "SLANTRANGE is committed to promoting an open ecosystem that allows customers to collect and process their data using a combination of tools that work best for their business," says Matthew Barre, director of strategic development at SLANTRANGE. "Our partnership with DroneDeploy does just that, providing DroneDeploy users a seamless integration with Sentera's high-quality index and multispectral sensors going forward." The SLANTRANGE 3p sensor captures high-resolution, calibrated, multispectral imagery data using patented sunlight calibration algorithms so farmers and agronomists can accurately compare crop data over time. ![]() We're committed to supporting our customers' preferred workflows and enabling an open and accessible set of downstream analytics based on genuine NDVI and other index products," says Eric Taipale, Sentera's CEO. "Sentera is excited to bring our most popular and most affordable high-precision NDVI sensor to the DroneDeploy platform. The near-infrared sensors from Sentera, now compatible with the DroneDeploy workflow including the High-Precision NDVI Single sensor and the Sentera Double 4K, allow growers to create NDVI (normalized difference vegetation index) maps to accurately detect crop stress. Once the map is complete, users can view, analyze, and share plant health data specific to the sensor used. To create a map with these sensors, users install the free SLANTRANGE or Sentera application within DroneDeploy, fly using the DroneDeploy mobile app, and upload imagery to DroneDeploy for processing. Using near-infrared sensors from Sentera and calibrated multispectral sensors from SLANTRANGE, which are all compatible with the latest DJI drones, allows DroneDeploy customers to fly and capture imagery and process interpret maps.
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