Data from: Non-destructive estimation of above-ground surface and near-surface biomass using 3D terrestrial remote sensing techniques
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https://figshare.com/articles/dataset/Data_from_Non-destructive_estimation_of_above-ground_surface_and_near-surface_biomass_using_3D_terrestrial_remote_sensing_techniques/4696441/1
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Data sets used in the research described in Wallace et al. (2017). Data includes:<br>1. <b>Sample Dry Weights</b>: Dry weights (tonnes/ha) of near surface vegetation (< 25 cm in height) collected in four land cover types in Victoria, Australia. Ten circular 0.15m radius samples were randomly located within one 10 m radius plot for each landcover type. Samples were mulched and weighed. 100g subsamples were then extracted and dryed following NSW DPI (2004). The relative decrease in weight was then applied to the total sample given the final dry weight expressed. <br>2. <b>Image based point clouds</b> produce using 12 downward looking images collected with an Panasonic FMC-FZ100 camera over a small (0.15 m radius) samples. Images were processed in Agisoft Photoscan using the high accuracy setting for image matching and high quality setting for dense cloud reconstruction.<br>3. <b>TLS point clouds</b> captured using a FARO Focus 3D x130 Terrestrial Laser Scanner. Four scans merged using ground control spheres and clipped to the area of each sample as described in the manuscript. <br>References<br>NSW DPI (2004) Silage note no. 7, measuring the dry matter content of forages. http://www.dpi.nsw.gov.au/__data/assets/pdf_file/0007/229291/silage-note-7-measuring-the-dry-matter-content-of-forages.pdf<br>
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figshare
创建时间:
2017-02-26



