GregCocks, 
The Case For Remote Sensing Of Individual Plants
https://doi.org/10.1002/ajb2.1347 <-- shared short article
#GIS #spatial #mapping #UAV #drone #drones #LiDAR #photosynthesis #imagingspectroscopy #trees #plants #vegetation #forest #monitoring #identification #satellite #cubesat #landsurface #landcover #spatialanalysis # interpretation #biology #scale #sensor #technology #fieldwork #fieldplatforms #spatiotemporal #resources #naturalresources #phenology #photogrammetry #plantbiology #model #modeling #inference #remotesensing
aerial images - High-resolution images from the Planet Labs constellation of cube-sats detect flowering individual trees in the Peruvian Amazon (yellow objects in panel A) and Colombian Amazon (pink objects in panel B). Many thousands of flowering individuals are apparent across hundreds of kilometers of Amazonian forest in these flowering events. Scale bar = 500 m.
aerial and oblique remotesensing-created images - Drone remote sensing of individual trees. (A) Ultra-high-density drone lidar resolves individual tree structure in a temperate beech forest in the southern Czech Republic. Colors indicate elevation, and the tallest trees are about 40 m aboveground. Measurement density here is 4323 points per square meter. (B) High-spatial resolution optical remote sensing from a low-altitude drone in the Atlantic lowlands of Costa Rica. We used methods from computer vision to construct three-dimensional scene geometry from two-dimensional images. The image is a natural color composite. (C) Same area as B, but colored by surface elevation, where warmer colors indicate taller objects. A single Goethalsia meiantha crown is outlined in white. The area of this crown is 157.3 m2. At a pixel size of 1 cm, this crown contains 1.573 × 106 pixels, demonstrating the tremendous increase in measurement density at high-spatial resolution. Scale bar in B and C = 30 m.
graphic / schematic - drone performing remote sensing on a tree
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