five

Data from: Non-destructive estimation of above-ground surface and near-surface biomass using 3D terrestrial remote sensing techniques

收藏
DataCite Commons2020-09-02 更新2024-07-25 收录
下载链接:
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
下载链接
链接失效反馈
官方服务:
资源简介:
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 (&lt; 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>
提供机构:
figshare
创建时间:
2017-02-26
5,000+
优质数据集
54 个
任务类型
进入经典数据集
二维码
社区交流群

面向社区/商业的数据集话题

二维码
科研交流群

面向高校/科研机构的开源数据集话题

数据驱动未来

携手共赢发展

商业合作