Assessing the Survey Accuracy of the DJI Phantom 4 RTK

{"id":"XBfwjxIAACkA2ijP","uid":"phantom-4-rtk-accuracy-case-study-katerra","type":"ebook","href":"https://dronedeploy-www.cdn.prismic.io/api/v2/documents/search?ref=Y9Al0BUAAAEenQ6I&q=%5B%5B%3Ad+%3D+at%28document.id%2C+%22XBfwjxIAACkA2ijP%22%29+%5D%5D","tags":[],"slug":"assessing-the-survey-accuracy-of-the-dji-phantom-4-rtk","slugs":["assessing-the-survey-accuracy-of-the-dji-phantom-4-rtk"],"data":{},"rawJSON":{"gated_content":null,"title":[{"type":"heading1","text":"Assessing the Survey Accuracy of the DJI Phantom 4 RTK","spans":[]}],"subhead":[{"type":"heading2","text":"Katerra compares the survey accuracy of the P4R to traditional survey methods","spans":[]}],"body":[{"type":"paragraph","text":"On a construction site, sub-centimeter accuracy in surveys mean the difference between a successful project and a multi-million dollar mistake. Contractors rely on accurate surveys to pour cement for structural posts, check progress against design plans, and collaborate with teams of subcontractors on a job site. \n\nDJI released the Phantom 4 RTK in October 2018. The out-of-the-box onboard RTK capabilities provide massive time and cost savings for construction companies throughout the project lifecycle. \n\nTo compare the accuracy of the new DJI Phantom 4 RTK (P4R) versus traditional drone data, Katerra—a Technology-driven offsite construction company—conducted a comparative analysis survey on an active construction project in Hayward, California using the P4R and DroneDeploy to process the data. ","spans":[]},{"type":"paragraph","text":"Download this case study to learn: ","spans":[]},{"type":"list-item","text":"How Katerra generated sub 3 cm accuracy with DroneDeploy and the Phantom 4 RTK","spans":[]},{"type":"list-item","text":"Why the Phantom 4 RTK can help your company cut survey costs without sacrificing accuracy","spans":[]},{"type":"list-item","text":"Why this technology solution has increased Katerra's survey team's confidence in drone-based surveying","spans":[]}],"pdf":{"link_type":"Media","name":"DD_katerra_case_study_v3.pdf","kind":"document","url":"https://dronedeploy-www.cdn.prismic.io/dronedeploy-www%2F8c16d361-8ac8-4cc2-8848-a761b6023467_dd_katerra_case_study_v3.pdf","size":"2126079"},"bitly_url":{"link_type":"Any"},"hero_graphic":{"dimensions":{"width":2000,"height":750},"alt":null,"copyright":null,"url":"https://images.prismic.io/dronedeploy-www/22d1105ef36c712c5783f19f95d9be49c6a7f56c_p4rtk-stabag-scenis-pics-rgb_72ppi-11.jpg?auto=compress,format"},"thumbnail":{"dimensions":{"width":546,"height":401},"alt":null,"copyright":null,"url":"https://images.prismic.io/dronedeploy-www/70fb109e87281376421481b2c949c7659494c3a3_p4rtk-stabag-scenis-pics-rgb_72ppi-11.jpg?auto=compress,format","thumb":{"dimensions":{"width":370,"height":272},"alt":null,"copyright":null,"url":"https://images.prismic.io/dronedeploy-www/6150da275ed93afeed4df436e4175d19bd5a5ec3_p4rtk-stabag-scenis-pics-rgb_72ppi-11.jpg?auto=compress,format"}},"og_image":{},"status":null,"legacy_url":{"link_type":"Any"},"subtype":"Case Study","recommend":[{"recommend_override":{"link_type":"Document"}}],"page_title":null,"meta_description":null,"meta_keywords":null,"schema_data":null,"industries":[{"industry":"Construction"}],"personas":[{"persona":"Technical"}],"capabilities":[{"capability":null}],"topics":[{"topic":null}],"lifecycles":[{"lifecycle":null}],"eloqua_campaign_id":"451","salesforce_campaign_id":"7011Q000001Qwfv","lead_source_detail":"Case Study - DD Katerra Accuracy Case Study"},"firstPublicationDate":"2018-12-18T21:11:11.000Z","lastPublicationDate":"2019-09-11T19:47:57.000Z","lang":"en-us","alternateLanguages":[]}