Characterisation of soil micro-topography using a depth camera

Soil surface roughness controls how water ponds on and flows over soil surfaces. It is a crucial parameter for erosion and runoff studies. Surface roughness has traditionally been measured using manual techniques that are simple but laborious. Newer technologies have been proposed that are less labo...

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Main Authors: Laura Grundy, Chandra Ghimire, Val Snow
Format: Article
Language:English
Published: Elsevier 2020-01-01
Series:MethodsX
Subjects:
Online Access:http://www.sciencedirect.com/science/article/pii/S2215016120303642
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spelling doaj-59f2660a5b8c45feac9fc94a4b5aceca2021-01-02T05:11:13ZengElsevierMethodsX2215-01612020-01-017101144Characterisation of soil micro-topography using a depth cameraLaura Grundy0Chandra Ghimire1Val Snow2AgResearch, Private Bag 4749, Christchurch 8140, New ZealandCorresponding author.; AgResearch, Private Bag 4749, Christchurch 8140, New ZealandAgResearch, Private Bag 4749, Christchurch 8140, New ZealandSoil surface roughness controls how water ponds on and flows over soil surfaces. It is a crucial parameter for erosion and runoff studies. Surface roughness has traditionally been measured using manual techniques that are simple but laborious. Newer technologies have been proposed that are less laborious but require expensive equipment and considerable expertise. New depth-camera technologies might provide a useful alternative. We tested the ability of one such camera to measure soil surface roughness. The camera's accuracy was good but decreased with camera-soil distance (0.3% at 750 mm and 0.5% at 1500 mm) however it was very precise (< 0.5 mm for elevation and < 0.05 mm for random roughness). Similarly, the error of the surface area estimation increased with camera-soil distance (0.56% at 750 mm and 2.3% at 1500 mm). We describe the workflow to produce high-resolution digital elevation models from initial images and describe the conditions under which the camera will not work well (e.g. extremes of lighting conditions, inappropriate post-processing options). The camera was reliable, required little in the way of additional technology and was practical to use in the field. We propose that depth cameras are a simple and inexpensive alternative to existing techniques. • We tested a commercially-available 3D depth camera. • The camera gave highly accurate and precise soil surface measurements. • The camera provides an inexpensive alternative to existing techniques.http://www.sciencedirect.com/science/article/pii/S2215016120303642Characterisation of soil micro-topography using a depth camera
collection DOAJ
language English
format Article
sources DOAJ
author Laura Grundy
Chandra Ghimire
Val Snow
spellingShingle Laura Grundy
Chandra Ghimire
Val Snow
Characterisation of soil micro-topography using a depth camera
MethodsX
Characterisation of soil micro-topography using a depth camera
author_facet Laura Grundy
Chandra Ghimire
Val Snow
author_sort Laura Grundy
title Characterisation of soil micro-topography using a depth camera
title_short Characterisation of soil micro-topography using a depth camera
title_full Characterisation of soil micro-topography using a depth camera
title_fullStr Characterisation of soil micro-topography using a depth camera
title_full_unstemmed Characterisation of soil micro-topography using a depth camera
title_sort characterisation of soil micro-topography using a depth camera
publisher Elsevier
series MethodsX
issn 2215-0161
publishDate 2020-01-01
description Soil surface roughness controls how water ponds on and flows over soil surfaces. It is a crucial parameter for erosion and runoff studies. Surface roughness has traditionally been measured using manual techniques that are simple but laborious. Newer technologies have been proposed that are less laborious but require expensive equipment and considerable expertise. New depth-camera technologies might provide a useful alternative. We tested the ability of one such camera to measure soil surface roughness. The camera's accuracy was good but decreased with camera-soil distance (0.3% at 750 mm and 0.5% at 1500 mm) however it was very precise (< 0.5 mm for elevation and < 0.05 mm for random roughness). Similarly, the error of the surface area estimation increased with camera-soil distance (0.56% at 750 mm and 2.3% at 1500 mm). We describe the workflow to produce high-resolution digital elevation models from initial images and describe the conditions under which the camera will not work well (e.g. extremes of lighting conditions, inappropriate post-processing options). The camera was reliable, required little in the way of additional technology and was practical to use in the field. We propose that depth cameras are a simple and inexpensive alternative to existing techniques. • We tested a commercially-available 3D depth camera. • The camera gave highly accurate and precise soil surface measurements. • The camera provides an inexpensive alternative to existing techniques.
topic Characterisation of soil micro-topography using a depth camera
url http://www.sciencedirect.com/science/article/pii/S2215016120303642
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