Quantitative Measurement of Soil Erosion From TLS and Uav Data

Eltner, Anette; Mulsow, Christian; Maas, Hans‐Gerd

doi:10.5194/isprsarchives-xl-1-w2-119-2013

Cited by 66 publications

(48 citation statements)

References 26 publications

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“…Eltner et al, 2013). Nevertheless, they can be suitable for multi-temporal change detection applications, where installation of artificial GCPs might not be possible (e.g.…”

Section: Gcp Accuracy and Distributionmentioning

confidence: 99%

Image-based surface reconstruction in geomorphometry – merits, limits and developments

et al. 2016

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Abstract. Photogrammetry and geosciences have been closely linked since the late 19th century due to the acquisition of high-quality 3-D data sets of the environment, but it has so far been restricted to a limited range of remote sensing specialists because of the considerable cost of metric systems for the acquisition and treatment of airborne imagery. Today, a wide range of commercial and open-source software tools enable the generation of 3-D and 4-D models of complex geomorphological features by geoscientists and other non-experts users. In addition, very recent rapid developments in unmanned aerial vehicle (UAV) technology allow for the flexible generation of high-quality aerial surveying and ortho-photography at a relatively low cost.The increasing computing capabilities during the last decade, together with the development of highperformance digital sensors and the important software innovations developed by computer-based vision and visual perception research fields, have extended the rigorous processing of stereoscopic image data to a 3-D point cloud generation from a series of non-calibrated images. Structure-from-motion (SfM) workflows are based upon algorithms for efficient and automatic orientation of large image sets without further data acquisition information, examples including robust feature detectors like the scale-invariant feature transform for 2-D imagery. Nevertheless, the importance of carrying out well-established fieldwork strategies, using proper camera settings, ground control points and ground truth for understanding the different sources of errors, still needs to be adapted in the common scientific practice.This review intends not only to summarise the current state of the art on using SfM workflows in geomorphometry but also to give an overview of terms and fields of application. Furthermore, this article aims to quantify already achieved accuracies and used scales, using different strategies in order to evaluate possible stagnations of current developments and to identify key future challenges. It is our belief that some lessons learned from former articles, scientific reports and book chapters concerning the identification of common errors or "bad practices" and some other valuable information may help in guiding the future use of SfM photogrammetry in geosciences.

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“…Eltner et al, 2013). Nevertheless, they can be suitable for multi-temporal change detection applications, where installation of artificial GCPs might not be possible (e.g.…”

Section: Gcp Accuracy and Distributionmentioning

confidence: 99%

Image-based surface reconstruction in geomorphometry – merits, limits and developments

et al. 2016

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“…UAV systems were used first for military purposes [3] and later for civilian ones [4], such as agricultural and forest management (precision farming, assessment of woodlots, fire surveillance, etc.) [5,6], archaeology and cultural heritage surveying (3D documentation and mapping) [7,8], for environmental surveying (land and water monitoring) [9,10], for traffic monitoring (surveillance, travel time estimation, etc.) [11], and for 3D reconstruction [12].…”

Section: Introductionmentioning

confidence: 99%

The Use of Nadir and Oblique UAV Images for Building Knowledge

Vacca

Dessì

Sacco³

2017

IJGI

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This paper focuses on the processing and study of 3D models obtained from images captured by an unmanned aerial vehicle (UAV). In particular, we wanted to study the accuracy gains achieved in the surveying and the measurement, such as height, area, and volume, of the dimensions of the buildings in the 3D models obtained with both nadir and oblique UAV flights. These latter types of flights are particularly suitable for the 3D modeling of cities or urban agglomerations, where it is important to achieve a complete building reconstruction, including façades and footprints of buildings. For this purpose, several UAV surveys with both nadir and oblique axes were performed. The nadir flight acquired images over an area of about 3.5 hectares containing 30 buildings, while the second flight, performed with both a nadir camera and an oblique camera, was conducted on a single building. The images from the flights were processed with Photoscan software by Agisoft and with Pix4D, studying their different potentialities and functionality. The results were compared with the data from the 1:2000 scale Geotopographic Database (DBGT), with the results of a Global Navigation Satellite System (GNSS) survey and with 3D model from the Terrestrial Laser Scanner (TLS) survey. The obtained results have shown that oblique UAV flights increase the achievable accuracy both in terms of the number of points in a point cloud, and in the in measurements taken on the 3D models, with respect to the limited cost, and at the increase in time for surveying and image processing.

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“…Therefore, several registration targets (retro-reflective cylinders with white circled markers on top and regular GCPs), which were especially designed for the data acquisition schemes in this study (Eltner et al, 2013), are measured with a total station (Fig. 1).…”

Section: Data Registrationmentioning

confidence: 99%

Integrated Processing of High Resolution Topographic Data for Soil Erosion Assessment Considering Data Acquisition Schemes and Surface Properties

Eltner¹,

Schneider²,

Maas³

2016

Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci.

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ABSTRACT:Soil erosion is a decisive earth surface process strongly influencing the fertility of arable land. Several options exist to detect soil erosion at the scale of large field plots (here 600 m²), which comprise different advantages and disadvantages depending on the applied method. In this study, the benefits of unmanned aerial vehicle (UAV) photogrammetry and terrestrial laser scanning (TLS) are exploited to quantify soil surface changes. Beforehand data combination, TLS data is co-registered to the DEMs generated with UAV photogrammetry. TLS data is used to detect global as well as local errors in the DEMs calculated from UAV images. Additionally, TLS data is considered for vegetation filtering. Complimentary, DEMs from UAV photogrammetry are utilised to detect systematic TLS errors and to further filter TLS point clouds in regard to unfavourable scan geometry (i.e. incidence angle and footprint) on gentle hillslopes. In addition, surface roughness is integrated as an important parameter to evaluate TLS point reliability because of the increasing footprints and thus area of signal reflection with increasing distance to the scanning device. The developed fusion tool allows for the estimation of reliable data points from each data source, considering the data acquisition geometry and surface properties, to finally merge both data sets into a single soil surface model. Data fusion is performed for three different field campaigns at a Mediterranean field plot. Successive DEM evaluation reveals continuous decrease of soil surface roughness, reappearance of former wheel tracks and local soil particle relocation patterns.

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Quantitative Measurement of Soil Erosion From TLS and Uav Data

Cited by 66 publications

References 26 publications

Image-based surface reconstruction in geomorphometry – merits, limits and developments

Image-based surface reconstruction in geomorphometry – merits, limits and developments

The Use of Nadir and Oblique UAV Images for Building Knowledge

Integrated Processing of High Resolution Topographic Data for Soil Erosion Assessment Considering Data Acquisition Schemes and Surface Properties

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