The normalized topographic method: An automated procedure for gully mapping using GIS

Earth Surface Processes and Landforms

Volumn 39, Issue 15, 2014, Pages 2002-2015

  Castillo, Carlos ^a,b   Taguas, Encarnación V ^b   Zarco Tejada, Pablo ^a,c   James, Mike R ^d   Gómez, Jose A ^a  

^a INSTITUTO DE AGRICULTURA SOSTENIBLE   (Spain)

^b UNIVERSITY OF CÓRDOBA   (Spain)

^c JOINT RESEARCH CENTRE   (Italy)

^d LANCASTER UNIVERSITY   (United Kingdom)

Author keywords

DEM; GIS; Gully erosion; Mapping; Photo reconstruction; Resolution

Indexed keywords

GEOGRAPHIC INFORMATION SYSTEMS; GEOMORPHOLOGY; IMAGE PROCESSING; MAPPING; OPTICAL RESOLVING POWER; SURVEYING;

AIRBORNE PHOTO; AUTOMATED PROCEDURES; DIFFERENTIAL GLOBAL POSITIONING SYSTEMS; DIGITAL ELEVATION MODEL; GULLY EROSION; NORMALIZATION PROCESS; OPTIMAL PARAMETER; VOLUME ESTIMATES;

LANDFORMS;

EID: 84913610396     PISSN: 01979337     EISSN: 10969837     Source Type: Journal    
DOI: 10.1002/esp.3595     Document Type: Article

References (27)

1. Casalí J, López JJ, Giráldez JV. 1999. Ephemeral gully erosion in southern Navarra (Spain). Catena 36: 65-84.
2. Casalí J, Loizu J, Campo MA, De Santisteban LM, Álvarez-Mozos J. 2006. Accuracy of methods for field assessment of rill and ephemeral gully erosion. Catena 67: 128-138.
3. Castillo C, Perez R, James MR, Quinton JN, Taguas EV, Gómez JA. 2012. Comparing the accuracy of several field methods for measuring gully erosion. Soil Science Society of America Journal 76: 1319-1332.
4. CNIG, Centro Nacional de Descargas, Instituto Geográfico Nacional. 2013. https://www.cnig.es [November 2013].
5. Daba S, Rieger W, Strauss P. 2003. Assessment of gully erosion in eastern Ethiopia using photogrammetric techniques. Catena 50: 273-291.
6. De Santisteban LM, Casalí J, López JJ. 2006. Assessing soil erosion rates in cultivated areas of Navarre (Spain). Earth Surface Processes and Landforms 31: 487-506.
7. Eustace AH, Pringle MJ, Denham RJ. 2011. A risk map for gully locations in central Queensland, Australia. European Journal of Soil Science 62: 431-441.
8. Evans M, Lindsay J. 2010. Quantifying gully erosion in upland peatlands at the landscape scale. Earth Surface Processes and Landforms 35: 876-886.
9. Furukawa Y, Curless B, Seitz SM, Szeliski R. 2010. Towards internet-scale multi-view stereo. Computer Vision and Pattern Recognition 1434-1441. DOI. 10.1109/CVPR.2010.5539802
10. Furukawa Y, Ponce J. 2010. Accurate, dense, and robust multiview stereopsis. IEEE Transactions on Pattern Analysis and Machine Intelligence 32: 1362-1376. DOI. 10.1109/TPAMI.2009.161
11. Giménez R, Marzolff I, Campo MA, Seeger M, Ries JB, Casalí J, Álvarez-Mozos J. 2009. Accuracy of high-resolution photogrammetric measurements of gullies with contrasting morphology. Earth Surface Processes and Landforms 34(14): 1915-1926.
12. Gómez-Gutiérrez A, Schnabel S, Lavado-Contador F. 2009. Gully erosion, land use and topographical thresholds during the last 60years in a small rangeland catchment in SW Spain. Land Degradation and Development 20: 535-550.
13. Hancock GR. 2005. The use of DEMs in the identification and characterization of catchment over different grid scales. Hydrological Processes 19: 1727-1749.
14. Hughes AO, Prosser IP, Stevenson J, Scott A, Lu H, Gallant J, Moran CJ. 2001. Gully Erosion Mapping for the National Land and Water Resources Audit, Technical Report 26/01. CSIRO Land and Water: Canberra. http://www.clw.csiro.au/publications/technical2001/tr26-01.pdf [October 2013].
15. James LA, Watson DG, Hansen WF. 2007. Using LiDAR data to map gullies and headwater streams under forest canopy: South Carolina, USA. Catena 71: 132-144.
16. James M, Robson S. 2012. Straightforward reconstruction of 3d surfaces and topography with a camera: accuracy and geoscience application. Journal of Geophysical Research 117: 17.
17. Johansen K, Taihei D, Tindall D, Phinn S. 2012. Object-based monitoring of gully extent and volume in North Australia using LiDAR data. Proceedings of the 4th GEOBIA, May 2012, Brazil, 168.
18. Martínez-Casasnovas JA, Ramos MC, Ribes-Dasi M. 2002. Soil erosion caused by extreme rainfall events: mapping and quantification in agricultural plots from very detailed digital elevation models. Geoderma 105: 125-140.
19. Marzolff I, Ries JB, Poesen J. 2011. Short-term versus medium-term monitoring for detecting gully-erosion variability in a Mediterranean environment. Earth Surface Processes and Landforms 36: 1604-1623.
20. Perroy RL, Bookhagen B, Asner G, Chadwick O 2010. Comparison of gully erosion estimates using airborne and ground-based LiDAR on Santa Cruz Island, California. Geomorphology 118: 288-300.
21. Poesen J, Nachtergaele J, Verstraeten G, Valentin C. 2003. Gully erosion and environmental change: importance and research needs. Catena 50: 91-133.
22. Shruthi R, Kerle N, Jetten V. 2011. Object-based gully feature extraction using high spatial resolution imagery. Geomorphology 134: 260-268.
23. Thompson J, Bell J, Buttlet CA. 2001. Digital elevation model resolution: effects on terrain attribute calculation and quantitative soil-landscape modeling. Geoderma 100: 67-89.
24. Wu S, Li J, Huang GH. 2008a. A study on DEM-derived primary topographic attributes for hydrologic applications: sensitivity to elevation data resolution. Applied Geography 28: 210-223.
25. Wu Y, Zheng Q, Zhang Y, Liu B, Cheng H, Wang Y. 2008b. Development of gullies and sediment production in the black soil region of northeastern China. Geomorphology 101: 683-691.
26. Zandbergen PA. 2006. The effect of cell resolution on depressions in digital elevation models. Applied GIS 2(1): 04.1-04.35.
27. Zhang W, Montgomery DR. 1994. Digital elevation model grid size, landscape representation and hydrologic simulations. Water Resources Research 30(4): 1019-1028.