{"id":1561,"date":"2019-07-09T12:30:00","date_gmt":"2019-07-09T12:30:00","guid":{"rendered":"http:\/\/levelfivesupplies.com\/?p=1561"},"modified":"2022-03-16T10:08:07","modified_gmt":"2022-03-16T10:08:07","slug":"100-real-world-applications-of-lidar-technology","status":"publish","type":"post","link":"https:\/\/levelfivesupplies.com\/100-real-world-applications-of-lidar-technology\/","title":{"rendered":"100 Real-World Applications of LiDAR Technology"},"content":{"rendered":"
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LiDAR<\/a> stands for ‘light detection and ranging’. An active form of remote sensing, LiDAR technology measures the distance between objects by hitting the target with a laser and analysing the reflected light. Using these systems, scientists and professionals can investigate natural and man-made environments with both precision and flexibility.<\/strong><\/p>\n<\/div>\n\t\t<\/div> \n\n

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Related reading: LiDAR: How Does It Work?<\/em><\/a><\/p>\n<\/div>\n\t\t<\/div> \n\n

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LiDAR sensors<\/a> are used by autonomous vehicles to navigate their environments, but they have many additional applications, across various industries and fields. We’ve collected 100 uses for this incredibly versatile technology.<\/p>\n<\/div>\n\t\t<\/div> \n\n

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Digital elevation models<\/h3>\n<\/div>\n\t\t<\/div> \n\n
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Digital elevation models (DEMs) are used to create a 3D representation of a terrain’s surface. Before LiDAR, we relied on ground surveys or photogrammetry, both of which were relatively slow. LiDAR has since made this process quicker and easier.<\/p>\n<\/div>\n\t\t<\/div> \n\n

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Imaging<\/h3>\n<\/div>\n\t\t<\/div> \n\n
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3D LiDAR imaging is a fast-growing industry, with notable commercial interest for autonomous cars and robotics. But the possibilities for future use are endless, with a growing interest in LiDAR imaging for healthcare, smart devices<\/a>, aerial surveys, geosciences, and more. <\/p>\n<\/div>\n\t\t<\/div> \n\n

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Agriculture<\/strong><\/h2>\n<\/div>\n\t\t<\/div> \n\n
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\"LiDAR
LiDAR is used extensively in agriculture; from crop mapping and categorisation to viability analysis <\/figcaption><\/figure>\n<\/div>\n\t\t<\/div> \n\n
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Crop viability<\/h3>\n<\/div>\n\t\t<\/div> \n\n
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Population growth has put pressure on agricultural production and the gathering of reliable harvest statistics worldwide. Accurate data on the state of fields and crop conditions at each stage of growth is critical to farmers achieving their goals. LiDAR can be used for topographic analysis and prediction of soil properties in agricultural landscapes. Using these insights, farmers can analyse, model and predict crop yields in any given place, maximising profits.  <\/p>\n<\/div>\n\t\t<\/div> \n\n

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Crop categorisation<\/h3>\n<\/div>\n\t\t<\/div> \n\n
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Additionally, with LiDAR technology, it is now much easier to categorise crops based on their characteristics and find the best places to plant them. A crop may thrive in one area of the farm, but may not do well in another area. The Department of Engineering at Aarhus University used UAV LiDAR to map crop fields<\/a> growing wheat. <\/p>\n<\/div>\n\t\t<\/div> \n\n

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