Ground control took absolute accuracy from metres down to centimetres. The price: a few hours of fieldwork to survey the targets, and fifteen to twenty-five minutes of tagging them in the office.
@joealoh.bsky.social
@joealoh.bsky.socialGround control took absolute accuracy from metres down to centimetres. The price: a few hours of fieldwork to survey the targets, and fifteen to twenty-five minutes of tagging them in the office.
@joealoh.bsky.socialThe rule of thumb: a map's error should be a tenth of the thing you want to measure.
@joealoh.bsky.socialSeven surveyed targets. Four become ground control, and the software fits the map to them exactly. Three are held back as checkpoints, and the software never sees them.
@joealoh.bsky.socialFor most mapping, canopy work and change detection, relative accuracy is enough.
@joealoh.bsky.socialMost consumer drones carry an RGB camera only. No infrared band, so a true NDVI is impossible from these photographs.
@joealoh.bsky.socialDraw a polygon around a stockpile and the map gives you its surface area, net volume and total volume. Drag a line across it and you get an elevation profile.
@joealoh.bsky.socialThe colour scale on a drone elevation map is deliberate. It is perceptually uniform, so it reads correctly in greyscale and for every kind of colour vision. Do not change it to rainbow.
@joealoh.bsky.socialHow you process a drone map depends on one question: does the data have ground control?
@joealoh.bsky.socialThe plan leaves the laptop. Drone on the ground, controller on, a quick check that the GPS has locked, and it lifts off.
@joealoh.bsky.socialSetting up a mapping flight comes down to a few numbers. Sixty metres above ground. Eighty percent front overlap, seventy to the side.
@joealoh.bsky.socialSixty metres up, eighty percent overlap, one battery. Every one of those numbers is decided at a desk, before the drone leaves its case.
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