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Evaluating photogrammetry

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Niels Anders

on 9 April 2013

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Transcript of Evaluating photogrammetry

Evaluating RGB photogrammetry and multi-temporal digital surface models for detecting soil erosion Data processing N.S. Anders, S.D. Keesstra, M. Seeger
Soil Physics and Land Management, Wageningen University, The Netherlands
Department of Physical Geography, Trier University, Germany Relief meter data: 10mm elevation measurements Data products Experimental design Detecting soil erosion Summary & outlook Goal:
Evaluating photogrammetric surface models for the assessment of terrain attributes and soil loss

100 x 50 x 15 cm loess

Relief meter: laser scanner for surface elevation measurements (10mm resolution)
Canon G12 consumer camera, 10MP, 28mm
Rainfall simulator

Surface measurements with relief meter
Surface photography for surface modeling
20 minutes 100mm/hr precipitation
Repeat surface measurements with relief meter and camera Agisoft Photoscan Professional 0.9
1. Photo alignment
2. Generating point cloud
3. Creating Digital Surface Model
4. Compare photogrammetric DSM with relief meter Photogrammetry data:
~ 50 images for app. 1mm DSM
Comparison Photogrammetric surface models shows high correlation but structural deviation from relief meter data
Future work is required to better align photogrammetric DSMs

RGB photogrammetry is a promising tool for analyzing change in surface elevation and surface properties;

Method is very dependent on the quality of reference points.

Future work will focus on correcting scaling of photogrammetric DSM and analyzing changing surface properties after rainfall;

The method could be issued on an Unmanned Aerial Vehicle (UAV) for detecting soil erosion in field studies;
Care is required for interpreting topographic change. Not all topographic change is related to sediment transport and soil erosion;
Investment in high-quality ground control points is essential for the acquisition of high-quality multi-temporal DSMs.

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