Abstract

Abstract. Soil erosion is a major issue concerning crop land degradation. Understanding these complex erosion processes is necessary for effective soil conservation. Herein, high resolution modelling of relief changes caused by run-off from precipitation events is an essential research matter. For non-invasive field measurements the combination of unmanned airborne vehicle (UAV) image data and terrestrial laser scanning (TLS) may be especially suitable. The study's objective is to measure high precision digital terrain models (DTM) of the soil surface at two selected research areas with the extent of at least 500 square meters. The used UAV is integrated with GPS and inertial measurement unit (IMU). Furthermore, an active stabilizing camera mount equipped with a customary compact camera is implemented. For multi-temporal comparison of measured soil surfaces and for aligning UAV and TLS data a stable local reference system consisting of signalized points is defined by total station measurements. Two different software packages are applied for DTM generation from UAV images and compared to the corresponding DTM captured by TLS. Differences between the point clouds are minimal six millimeters and generally within TLS accuracy range. First multi-temporal comparisons are made and illustrate interesting surface changes.

Highlights

  • Soil erosion is a driving factor for land degradation and destruction of valuable crop area

  • Resolved surface change detection can be an eminent support to explore the complex process of soil erosion

  • To extract surface models unmanned airborne vehicle (UAV) equipped with a customary amateur camera and terrestrial laser scanning (TLS) used on a few meters high tripod are practical methods due to their contactless nature

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Summary

INTRODUCTION

Soil erosion is a driving factor for land degradation and destruction of valuable crop area. Programmed flight patterns can be repeated almost arbitrarily to capture the test areas These qualities of UAV are helpful for quantifying single soil erosion events. Multi-image matching is recently gaining interest (HAALA 2009) due to software improvements and permits dense image matching – e.g. realized with semi-global matching (HIRSCHMÜLLER 2008) or multi-stereo view (FURUKAWA & PONCE 2008) Utilisation of these developments within environmental sciences has so far only been a few Considering test area size for soil erosion detection two different situations seem to be given. Aerial images assert occlusion effects from laser scanning and TLS detects error propagation given for large image bundles. This contribution concentrates on the demands for data acquisition and processing for highly resolved multi-temporal soil surface change detection.

Applied Sensors
Field Campaign
DATA PROCESSING
RESULTS & DISCUSSION
Accuracy of image processing
Y Z s0 cm cm cm pixel
Multi-temporal Change Detection
CONCLUSION
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