Presentation Title

IMAGE-BASED 3D RECONSTRUCTION OF THE RUSSIAN THISTLE: LESSONS LEARNED

Presenter Information

Jose ZunigaFollow
Eugene CanlasFollow

Start Date

November 2016

End Date

November 2016

Location

HUB 302-87

Type of Presentation

Poster

Abstract

ABSTRACT

Russian thistle (Salsola spp.), also known as tumbleweed, is an invasive plant of Eurasian origin. This plant has become a troublesome nuisance, in particular during late fall and early winter when it breaks from the soil and travels across the surface when blown. Thus, making its control difficult. In addition, it reduces the yield and quality of various crops and creates a fire hazard. For these reasons identifying areas with high densities of Russian thistle is an important part of preventing the further spread of the species. This feasibility study is focused on assessing the potential of using photogrammetric data to reconstruct 3D models aimed at mapping Russian thistle and estimating its biomass. First, various RGB cameras are analyzed to determine whether they can map and model a single plant from an oblique angle. Next, data are collected from a nadir view using RGB cameras to evaluate if the Russian thistle can be differentiated from the natural ground surface. Finally, the data are analyzed to determine if 3D reconstruction is feasible from the methods tested. This study summarizes the initial findings of this investigation.

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Nov 12th, 1:00 PM Nov 12th, 2:00 PM

IMAGE-BASED 3D RECONSTRUCTION OF THE RUSSIAN THISTLE: LESSONS LEARNED

HUB 302-87

ABSTRACT

Russian thistle (Salsola spp.), also known as tumbleweed, is an invasive plant of Eurasian origin. This plant has become a troublesome nuisance, in particular during late fall and early winter when it breaks from the soil and travels across the surface when blown. Thus, making its control difficult. In addition, it reduces the yield and quality of various crops and creates a fire hazard. For these reasons identifying areas with high densities of Russian thistle is an important part of preventing the further spread of the species. This feasibility study is focused on assessing the potential of using photogrammetric data to reconstruct 3D models aimed at mapping Russian thistle and estimating its biomass. First, various RGB cameras are analyzed to determine whether they can map and model a single plant from an oblique angle. Next, data are collected from a nadir view using RGB cameras to evaluate if the Russian thistle can be differentiated from the natural ground surface. Finally, the data are analyzed to determine if 3D reconstruction is feasible from the methods tested. This study summarizes the initial findings of this investigation.