Free Standard AU & NZ Shipping For All Book Orders Over $80!
Register      Login
Soil Research Soil Research Society
Soil, land care and environmental research
Shopping Cart: ( empty )
You are here: Home > Journals > SR > SR09058
RESEARCH ARTICLE
Contents Vol 48(1)

Using digital photogrammetry to monitor soil erosion under conditions of simulated rainfall and wind

S. Moritani A C , T. Yamamoto A , H. Andry A , M. Inoue A and T. Kaneuchi B
+ Author Affiliations
- Author Affiliations

A Arid Land Research Center, Tottori University, Tottori, Japan.

B Tokyu Construction Co., Ltd, Tokyo, Japan.

C Corresponding author. Email: hatshige01@alrc.tottori-u.ac.jp

Australian Journal of Soil Research 48(1) 36-42 https://doi.org/10.1071/SR09058
Submitted: 2 April 2009  Accepted: 20 October 2009   Published: 26 February 2010

Abstract

We investigated a method to measure sheet erosion by characterising the soil erosion of an upland field in a dryland environment. Digital photogrammetry was used to measure the erosion rates of soil surfaces packed to different densities under simulated rainfall or wind conditions. The photogrammetry system consisted of 2 digital cameras, a rainfall simulator, a wind tunnel, and a computer program for 3-dimensional algorithm analysis. First, we assessed the accuracy of our method by comparing conventionally measured data to photogrammetric data under conditions of either no rainfall or no wind application. Two statistical parameters were used to evaluate the soil surface evolution: the mean absolute error (MAE) and the mean relative error (MRE). Their values were 0.21 mm and 15.8%, respectively. We then assessed the precision of our system under simulated rainfall conditions using 3 different dry bulk densities for the packed saturated soil surface. At densities of 0.91, 0.98, and 1.09 g/cm3, the MAE (MRE) values were 2.21 mm (392.5%), 1.07 mm (126.4%), and 0.59 mm (57.6%), respectively. It was possible to monitor and evaluate both the amount of eroded soil and the erosion mechanism in a specific area. Moreover, this system could be applied to measuring wind erosion with an MAE accuracy as high as 0.21 mm. The digital elevation models (DEMs) allowed for detailed analyses of soil surface evolution, and it was also possible to monitor sheet erosion with high spatial and temporal resolutions.

Additional keywords: soil erosion, photogrammetry, precision, bulk density.


References


Abd Elbasit MAM, Anyoji H, Yasuda H, Yamamoto S (2009) Potential of low cost close-range photogrammetry system in soil microtopography quantification. Hydrological Processes 23, 1408–1417.
| Crossref | GoogleScholarGoogle Scholar | open url image1

Abd Elbasit MAM, Yasuda H, Anyoji H (2008) Development and application of digital elevation model rectification method in monitoring soil microtopography changes during rainfall. Journal of Japanese Society of Hydrology and Water Resources 21, 114–125.
| Crossref | GoogleScholarGoogle Scholar | open url image1

Andry H, Yamamoto T, Inoue M (2007) Effectiveness of hydrated lime and artificial zeolite amendments and sedum (Sedum sediforme) plant cover in controlling soil erosion from an acid soil. Australian Journal of Soil Research 45, 266–279.
| Crossref | GoogleScholarGoogle Scholar | CAS | open url image1

Andry H, Yamamoto T, Rasiah V, Fukada M (2008) Physico-mechanical processes involved in sediment generation in a simulated acid soil. Transactions of the Japanese Society of Irrigation, Drainage and Rural Engineering 257, 1–9. open url image1

Brasington J, Smart RMA (2003) Close range digital photogrammetric analysis of experimental drainage basin evolution. Earth Surface Processes and Landforms 28, 231–247.
| Crossref | GoogleScholarGoogle Scholar | open url image1

Chandler JH, Ashmore P, Paolo C, Gooch M, Varkaris F (2002) Monitoring river-channel change using terrestrial oblique digital imagery and automated digital photogrammetry. Annals of the Association of American Geographers 92, 631–644.
| Crossref | GoogleScholarGoogle Scholar | open url image1

Chandler JH, Fryer JG, Jack A (2005) Metric capabilities of low-cost digital cameras for close range surface measurement. The Photogrammetric Record 20, 12–26.
| Crossref | GoogleScholarGoogle Scholar | open url image1

Cruz JM, Pajares G, Aranda J, Vindel JLF (1995) Stereo matching technique based on the perceptron criterion function. Pattern Recognition 16, 933–944.
| Crossref | GoogleScholarGoogle Scholar | open url image1

Darboux F, Huang C (2003) An instantaneous-profile laser scanner to measure soil surface microtopography. Soil Science Society of America Journal 67, 92–99.
|  CAS |
open url image1

DeRose RC, Gomez B, Marden M, Trustrum NA (1998) Gully erosion in Mangatu Forest, New Zealand, estimated from digital elevation models. Earth Surface Processes and Landforms 23, 1045–1053.
| Crossref | GoogleScholarGoogle Scholar | open url image1

Elliot WJ, Laflen JM, Thomas AW, Kohl KD (1997) Photogrammetric and rillmeter techniques for hydraulic measurement in soil erosion studies. Transactions of the American Society of Agricultural Engineers 40, 157–165. open url image1

Heipke C (1997) Automation of interior relative and absolute orientation. ISPRS Journal of Photogrammetry and Remote Sensing 52, 1–19.
| Crossref | GoogleScholarGoogle Scholar | open url image1

Helming K, Römkens MJM, Prasad SN (1998) Surface roughness related processes of runoff and soil loss. A flume study. Soil Science Society of America Journal 62, 243–250.
|  CAS |
open url image1

Hodge R, Brasington J, Richards K (2009) In-situ characterization of grain-scale fluvial morphology using Terrestrial Laser Scanning. Earth Surface Processes and Landforms 34, 954–968.
| Crossref | GoogleScholarGoogle Scholar | open url image1

Huang C (1998) Quantification of soil surface microtopography and surface roughness. Fractals in Soil Science 432, 153–168. (Eds P Baveye, J-Y Parlange, BA Stewart) (CRC Press: Boca Raton, FL)

Huang C, White I, Thwaite EG, Bendeli A (1988) A noncontact laser system for measuring soil surface topography. Soil Science Society of America Journal 52, 350–355. open url image1

Huang CT , Mitchell OR (1995) Dynamic camera calibration. In ‘International Symposium on Computer Vision in 1995’. pp. 169–174. (Institute of Electrical and Electronics Engineers)

Jeong S, Cho J, Choi B (2004) An epipolar rectification for object segmentation. Transactions of the Institute of Electronics, Information and Communication Engineers 87, 1434–1437. open url image1

Jeschke W (1990) Digital close-range photogrammetry for surface measurement. International Archives of Photogrammetry and Remote Sensing 28, 1058–1065. open url image1

Kim YS, Lee JJ, Ha YH (1997) Stereo matching algorithm based on modified wavelet decomposition process. Pattern Recognition 30, 929–952.
| Crossref | GoogleScholarGoogle Scholar | open url image1

Lascelles B, Favis-Mortlock D, Parsons T, Boardman J (2002) Automated digital photogrammetry: a valuable tool for small-scale geomorphological research for the non-photogrammetrist. Transactions in GIS 6, 5–15.
| Crossref | GoogleScholarGoogle Scholar | open url image1

Moritani S, Yamamoto T, Henintsoa A, Muraki H (2006) Monitoring of soil erosion using digital camera under simulated rainfall. Transactions of the Japanese Society of Irrigation, Drainage and Rural Engineering 244, 143–149. open url image1

Moritani S , Yamamoto T , Henintsoa A , Muraki H (2007) Monitoring of soil erosion using digital camera under simulated rainfall. In ‘American Geophysical Union, Fall Meeting 2007’. Abstract #H51E-0826

Pellikka P , Clark B , Hurskainen P , Keskinen A , Lanne M , Masalin K , Nyman-Ghezelbash P , Sirviö T (2004) Land use change monitoring applying geographic information systems in the Taita Hills, Se-Kenya. In ‘Proceedings of the 5th AARSE Conference’. 18–21 October 2004, Nairobi, Kenya. (African Association of Remote Sensing of the Environment)

Prosser IP, Aberneathy B (1996) Predicting the topographic limits to a gully network using a digital terrain model and process thresholds. Water Resources Research 32, 2289–2298.
| Crossref | GoogleScholarGoogle Scholar | open url image1

Pyle CJ, Richards KS (1997) Digital photogrammetric monitoring of river bank erosion. The Photogrammetric Record 15, 753–764.
| Crossref | GoogleScholarGoogle Scholar | open url image1

Rieke-Zapp DH, Nearing MA (2005) Digital close range photogrammetry measurement of soil erosion. The Photogrammetric Record 20, 69–87.
| Crossref | GoogleScholarGoogle Scholar | open url image1

Rieke-Zapp DH , Wegmann H , Santel F , Nearing MA (2001) Digital photogrammetry for measuring soil surface roughness. In ‘Proceedings of the American Society of Photogrammetry & Remote Sensing 2001 Conference – Gateway to the New Millennium’. St Louis, MO. (American Society of Photogrammetry & Remote Sensing: Bethesda, MD)

Römkens MJM, Wang JY, Darden RW (1988) A laser microreliefmeter. Transactions of the American Society of Agricultural Engineers 31, 408–413. open url image1

Scholl BN , Bogonko M , He Y , Beighley RE , Milberg CT (2007) Quantifying the spatial distribution of hill slope erosion using a 3-D laser scanner. In ‘American Geophysical Union, Fall Meeting 2007’. Abstract #H51E-0826

Soil Conservation Service (1976) ‘National range handbook.’ (U.S. Department of Agriculture, Soil Conservation Service: Washington, DC)

van Dijk AIJM, Bruijnzeel LA, Rosewell CJ (2002) Rainfall intensity-kinetic energy relationships: a critical literature appraisal. Journal of Hydrology 261, 1–23.
| Crossref | GoogleScholarGoogle Scholar | open url image1

Weng J, Cohen P, Herniou M (1992) Camera calibration with distortion models and accuracy evaluation. IEEE Transactions on Pattern Analysis and Machine Intelligence 14, 965–980.
| Crossref | GoogleScholarGoogle Scholar | open url image1