Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., XL-1, 135-140, 2014
© Author(s) 2014. This work is distributed under
the Creative Commons Attribution 3.0 License.
07 Nov 2014
Crop height determination with UAS point clouds
G. J. Grenzdörffer Rostock University, Chair for Geodesy and Geoinformatics, J.-v.-Liebig Weg 6, Rostock, Germany
Keywords: UAS-Photogrammetry, 3D-Point Cloud, Crop Surface Models Abstract. The accurate determination of the height of agricultural crops helps to predict yield, biomass etc. These relationships are of great importance not only for crop production but also in grassland management, because the available biomass and food quality are valuable information. However there is no cost efficient and automatic system for the determination of the crop height available. 3D-point clouds generated from high resolution UAS imagery offer a new alternative. Two different approaches for crop height determination are presented. The "difference method" were the canopy height is determined by taking the difference between a current UAS-surface model and an existing digital terrain model (DTM) is the most suited and most accurate method. In situ measurements, vegetation indices and yield observations correlate well with the determined UAS crop heights.
Conference paper (PDF, 771 KB)

Citation: Grenzdörffer, G. J.: Crop height determination with UAS point clouds, Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., XL-1, 135-140,, 2014.

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