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GIS technology for spatiotemporal measurements of gully channel width evolution

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Abstract

Field observations of ephemeral gully evolution in active croplands have often revealed the presence of a less erodible soil layer that is typically associated with tillage practices (i.e., plowpan). This more erosion-resistant layer limits channel incision forcing the gully channel to expand laterally through basal scour of the bank toe and gravitational mass movement of the gully channel sidewalls. Understanding the role and quantification of widening processes is vital to efforts to quantify soil loss from gullies. One major research challenge is designing laboratory experiments that replicate field conditions while accounting for and accurately measuring spatial and temporal gully channel characteristics. Technology was developed to capture 2-cm-spaced cross-sections along a soil flume at user-defined time intervals. Two off-the-shelf high-resolution cameras were positioned above the soil bed looking as close to nadir field of view as possible. Using open source technology, computer control of the cameras was used to trigger each camera at 10-s intervals and download individual images from the cameras. Out of the two sets of images generated (one set from each camera), only one set of images was selected for further processing based on the quality of image information defined by image clarity/sharpness and the presence/absence of light reflectance in the water. Batch processing scripts were used to geo-reference individual images within an image set based on known coordinates of control points and to re-sample each image into a standard raster grid cell size of 0.25 cm. Custom developed image processing software was utilized to identify image color discontinuities representing channel edges based on water and soil image color reflectance differences. After an additional filtering step, the set of image color discontinuities was converted into GIS polygons, and these polygons were then used to produce a set of cross-sections for each time interval (hundreds of cross-sections for each time interval). The technology offers an inexpensive alternative for collecting data from laboratory experiments and serves as a template for multi-purpose investigations where channel edge discontinuities need to be accurately measured at high temporal resolution.

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References

  • Ananda J, Herath G (2003) Soil erosion in developing countries: a socio-economic appraisal. J Environ Manag 68(4):343–353

    Article  Google Scholar 

  • Bennett SJ, Alonso CV, Prasad SN, Römkens MJ (2000) Experiments on headcut growth and migration in concentrated flows typical of upland areas. Water Resour Res 36(7):1911–1922

    Article  Google Scholar 

  • Bingner R, Wells R, Momm H, Theurer F, Frees L (2010) Development and application of gully erosion components within the usda annagnps watershed model for precision conservation. In: 10th international conference on precision agriculture, Denver, Colorado, U.S.A

  • Casalı J, López J, Giráldez J (1999) Ephemeral gully erosion in southern Navarra (Spain). Catena 36(1):65–84

    Article  Google Scholar 

  • Elliot WJ, Kohl KD, Laflen JM (1988) A process based rill erosion model. Trans Am Soc Agric Eng 36:65–72

    Article  Google Scholar 

  • Foster G, Lane L, Nowlin J, Laflen L (1980) A model to estimate the sediment yield from field-sized areas: development of model and selection of parameter values. In: Knisel WG (ed) Creams: a field scale model for chemicals, runoff, and erosion from agricultural management systems. Conservation Research Report 26. US Department of Agriculture

  • Foster GR (2005) Modeling ephemeral gully erosion for conservation planning. Int J Sediment Res 20(3):157–175

    Google Scholar 

  • Foster GR, Meyer LD (1972) Transport of soil particles by shallow flow. Trans Am Soc Agric Eng 15(1):99–102

    Article  Google Scholar 

  • Gordon LM, Bennett SJ, Wells RR, Alonso CV (2007) Effect of soil stratification on the development and migration of headcuts in upland concentrated flows. Water Resour Res 43(7):W07,412

    Google Scholar 

  • Gordon LM, Bennett SJ, Alonso CV, Bingner RL (2008) Modeling long-term soil losses on agricultural fields due to ephemeral gully erosion. J Soil Water Conserv 63(4):173–181

    Article  Google Scholar 

  • Gordon LM, Bennett SJ, Wells RR (2012) Response of a soil-mantled experimental landscape to exogenic forcing. Water Resour Res 48(10):W10,514

    Google Scholar 

  • Lal R (2001) Soil degradation by erosion. Land Degrad Dev 12(6):519–539

    Article  Google Scholar 

  • Lal R (2008) Soils and food sufficiency: a review. Agron Sustain Agric 29(1):113–133

    Article  Google Scholar 

  • Matsuura T, Aniya M (2012) Automated segmentation of hillslope profiles across ridges and valleys using a digital elevation model. Geomorphology 177(178):167–177

    Article  Google Scholar 

  • Meyer L, Harmon W (1979) Multiple-intensity rainfall simulator for erosion research on row sideslopes. Trans Am Soc Agric Eng 22:100–103

    Article  Google Scholar 

  • Meyer L, Foster G, Nikolov S (1975) Effect of flow rate and canopy on rill [soil] erosion. Trans Am Soc Agric Eng 18(5):905–911

    Article  Google Scholar 

  • Montgomery DR (2007) Soil erosion and agricultural sustainability. Proc Natl Acad Sci 104(33):13,268–13,272

    Article  Google Scholar 

  • Nachtergaele J, Poesen J, Sidorchuk A, Torri D (2002) Prediction of concentrated flow width in ephemeral gully channels. Hydrol Process 16(10):1935–1953

    Article  Google Scholar 

  • Nagao T, Agui T, Nakajima M (1990) An extraction method of partially occluded objects utilizing partial shape vectors. IEICE Trans Electron 73(3):410–417

    Google Scholar 

  • Nearing M, Romkens M, Norton L, Stott D, Rhoton F, Laflen J, Flanagan D, Alonso C, Binger R, Dabney S (2000) Measurements and models of soil loss rates. Sci Mag 290(5495):1300–1301

    Google Scholar 

  • Pimentel D, Harvey C, Resosudarmo P, Sinclair K, Kurz D, McNair M, Crist S, Shpritz L, Fitton L, Saffouri R et al (1995) Environmental and economic costs of soil erosion and conservation benefits. Science-AAAS-Weekly Paper Edition 267(5201):1117–1122

  • Poesen J, Nachtergaele J, Verstraeten G, Valentin C (2003) Gully erosion and environmental change: importance and research needs. Catena 50(2):91–133

    Article  Google Scholar 

  • Renard KG, Foster GR, Weesies GA, McCool DK, Yoder DC, Coordinators (1997) Predicting soil erosion by water: a guide to conservation planning with the revised universal soil loss equation (RUSLE). US Department of Agriculture, Agriculture Handbook No 703, 404 pp

  • Römkens MJ, Helming K, Prasad S (2002) Soil erosion under different rainfall intensities, surface roughness, and soil water regimes. Catena 46(2):103–123

    Article  Google Scholar 

  • Schowengerdt RA (2006) Remote sensing: models and methods for image processing. Academic Press, New York

    Google Scholar 

  • Van Oost K, Quine T, Govers G, De Gryze S, Six J, Harden J, Ritchie J, McCarty G, Heckrath G, Kosmas C (2007) The impact of agricultural soil erosion on the global carbon cycle. Science 318(5850):626–629

    Article  Google Scholar 

  • Wells RR, Bennett SJ, Alonso CV (2009) Effect of soil texture, tailwater height, and pore-water pressure on the morphodynamics of migrating headcuts in upland concentrated flows. Earth Surf Process Landf 34(14):1867–1877

    Article  Google Scholar 

  • Wells RR, Bennett SJ, Alonso CV (2010) Modulation of headcut soil erosion in rills due to upstream sediment loads. Water Resour Res 46(W12):531

    Google Scholar 

  • Wells RR, Momm HG, Rigby JR, Bennett SJ, Bingner RL, Dabney SM (2013) An empirical investigation of gully widening rates in upland concentrated flows. Catena 101:114–121

    Article  Google Scholar 

  • Wischmeier WH, Smith DD (1978) Predicting rainfall erosion losses: a guide to conservation planning. US Department of Agriculture, Agriculture Handbook No 537

Download references

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Correspondence to Henrique G. Momm.

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Momm, H.G., Wells, R.R. & Bingner, R.L. GIS technology for spatiotemporal measurements of gully channel width evolution. Nat Hazards 79 (Suppl 1), 97–112 (2015). https://doi.org/10.1007/s11069-015-1615-z

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  • DOI: https://doi.org/10.1007/s11069-015-1615-z

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