Soil erosion risk assessment of the Keiskamma catchment, South Africa using GIS and remote sensing

Environmental Earth Sciences

Volumn 65, Issue 7, 2012, Pages 2087-2102

  Mhangara, Paidamwoyo ^a   Kakembo, Vincent ^a   Lim, Kyoung Jae ^b  

^a NELSON MANDELA METROPOLITAN UNIVERSITY   (South Africa)

^b Kangwon National University   (South Korea)

Author keywords

Remote sensing; RUSLE; SATEEC GIS; Soil erosion

Indexed keywords

ASSESSMENT TOOL; CONSERVATION PRACTICES; EPHEMERAL STREAMS; EROSION CONTROL; GULLY EROSION; LOCAL INSTITUTIONS; MOUNTAIN RANGES; OBJECT BASED; PROTECTED AREAS; PROTECTIVE COVER; RAINFALL EROSIVITY; REVISED UNIVERSAL SOIL LOSS EQUATIONS; RIVER CATCHMENT; RUSLE; SEDIMENT DELIVERY RATIO; SEDIMENT YIELDS; SOIL ERODIBILITY; SOIL EROSION; SOIL EROSION RISK; SOIL EROSION RISK ASSESSMENT; SOIL LOSS; SOUTH AFRICA; SPATIAL PATTERNS; STEEP SLOPE; VEGETATION COVER; VEGETATION GROWTH;

ANOXIC SEDIMENTS; EROSION; RAIN; REMOTE SENSING; RISK ASSESSMENT; RUNOFF; SEDIMENT TRANSPORT; SEDIMENTOLOGY; SOILS; VEGETATION;

CATCHMENTS;

CATCHMENT; CONSERVATION MANAGEMENT; EPHEMERAL STREAM; EROSIVITY; GIS; GULLY EROSION; LOCAL PARTICIPATION; MOUNTAIN REGION; OVERGRAZING; PROTECTED AREA; RAINFALL; REMOTE SENSING; RISK ASSESSMENT; SEDIMENT YIELD; SOIL EROSION; UNIVERSAL SOIL LOSS EQUATION; VEGETATION COVER; VIGOR;

EASTERN CAPE; KEISKAMMA BASIN; SOUTH AFRICA;

EID: 84858280111     PISSN: 18666280     EISSN: 18666299     Source Type: Journal    
DOI: 10.1007/s12665-011-1190-x     Document Type: Article

References (64)

1. Angima SD, Stott DE, O'Neill MK, Ong CK, Weesies GA (2003) Soil erosion prediction using RUSLE for central Kenyan highland conditions. Agric Ecosyst Environ 97: 295-308.
2. Arnold JG, Srinivasan R, Muttiah RS, Williams JR (1998) Large area hydrologic modeling and assessment part I: model development. J Am Water Resour Assoc 34(1): 73-89.
3. Bartsch KP, van Miegroet H, Boettinger J, Dobrwolski JP (2002) Using empirical erosion models and GIS to determine erosion risk at Camp Williams. J Soil Water Conserv 57: 29-37.
4. Benkobi L, Trlica MJ, Smith JL (1994) Evaluation of a refined surface cover subfactor for use in RUSLE. J Range Manag 47: 74-78.
5. Bennett J, Barrett H (2007) Rangeland as a common property resource: contrasting insights from communal areas of central eastern Cape Province, South Africa. Hum Ecol 35: 97-112.
6. Bhattarai R, Dutta D (2007) Estimation of soil erosion and sediment yield using GIS at catchment scale. Water Resour Manag 21: 1635-1647.
7. Biesemans J, Meirvenne MV, Gabriels D (2000) Extending the RUSLE with the Monte Carlo error propagation technique to predict long-term average off-site sediment accumulation. J Soil Water Conserv 55: 35-42.
8. Boggs G, Devonport C, Evans K, Puig P (2001) GIS-based rapid assessment of erosion risk in a small catchment in the wet/dry tropics of Australia. Land Degrad Dev 12: 417-434.
9. Congalton RG, Green K (1999) Assessing the accuracy of remotely sensed data: principles and practice. Lweis Publishers, Boca Raton.
10. D'Huyvetter JHH (1985) Determination of threshold slope percentages for the identification and delineation of arable land in Ciskei. M. Sc. Thesis. University of Fort Hare.
11. Definiens (2009) Definiens Developer 7: user guide. Definiens AG, München.
12. Dennis MF, Rorke MF (1999) The relationship of soil loss by interill erosion to slope gradient. Catena 38: 211-222.
13. Desmet PJJ, Gover G (1997) Two-dimensional modelling of the within-field variation in rill and gully geometry and location related to topography. Catena 29(3-4): 283-306.
14. Desmet PJJ, Govers G (1996) A GIS-procedure for automatically calculating the USLE LS-factor on topographically complex landscape units. J Soil Water Conserv 51(5): 427-433.
15. DWAF (2004) Amatole-Kei area internal strategic perspective WMA 12. Report. 04 August 2004.
16. Flanagan DC, Nearing MA (1995) USDA water erosion prediction project: hillslope profile and watershed model documentation. USDA-ARS National Soil Erosion Research Laboratory, West Lafayette.
17. Flügel WA, Märker M, Moretti S, Rodolfi G (2003) Integrating GIS, remote sensing, ground truthing and modelling approaches for regional erosion classification of semiarid catchments in South Africa and Swaziland. Hydrol Process 17: 917-928.
18. Fu BJ, Zhao WW, Chen LD, Zhang QJ, Lü YH, Gulinck H, Poesen J (2005) assessment of soil erosion at large watershed scale using RUSLE and GIS: a case study in the Loess Plateau of China. Land Degrad Dev 16: 7.
19. Garland GG, Hoffman MT, Tod S (2000) Soil degradation. In: Hoffman MT, Todd S, Ntshona Z and Turner S (eds) A national review of land degradation in South Africa. South African National Biodiversity Institute, Pretoria, South Africa, pp 69-107. http://www. nbi. ac. za/landdeg.
20. Hensley M, Laker MC (1975). Land resources of the Ciskei. In: The agricultural potential of the Ciskei-a preliminary report. University of Fort Hare, Alice.
21. Hensley M, Laker MC (1978) Land resources of the consolidated Ciskei. In: The agricultural potential of the Ciskei. University of Fort Hare, Alice.
22. Hui L, Xiaoling C, Lim KJ, Xiaobin J, Sagong M (2010) Assessment of soil erosion and sediment yield in Liao watershed, Jiangxi Province, China, Using USLE, GIS, and RS. J Earth Sci 21(6): 941-953.
23. Jenness J, Wynne JJ (2005) Cohen's Kappa and classification table metrics 2. 0: an ArcView 3x extension for accuracy assessment of spatially explicit models: U. S. Geological Survey Open-File Report OF 2005-1363. USGS.
24. Kinnell PIA (2000) The effect of slope length on sediment concentrations associated with side-slope erosion. Soil Sci Soc Am J 64: 1004-1008.
25. Laker MC (1978) The agricultural potential of the Ciskei. Amended report. University of Fort Hare, Alice.
26. Lal R (1994) Soil erosion by wind and water: problems and prospects. In: Lal R (ed) Soil erosion research methods, 2nd edn. Soil and Water Conservation Society, St. Lucie Press, pp 1-9.
27. Lal R (1998) Soil erosion impact on agronomic productivity and environment quality: critical reviews. Plant Sci 17: 319-464.
28. Le Roux JJ, Newby TS, Sumner PD (2007) Monitoring soil erosion in South Africa at a regional scale: review and recommendations. S Afr J Sci 103(7): 7-8.
29. Le Roux JJ, Morgenthal TL, Malherbe J, Pretorius DJ, Sumner PD (2008) Water erosion prediction at a national scale for South Africa. Water SA 34: 305-314.
30. Lim KJ, Choi J, Kim K, Sagong M, Engel BA (2005) GIS-based sediment assessment tool. CATENA 64(2005): 61-80.
31. Lorentz SA, Schulze RE (1995) Sediment yield. In: Schulze RE (ed) Hydrology and agrohydrology: a text to accompany the ACRU 3. 00 agrohydrological modelling system (report TT69/95, pp. AT16-1 to AT16-32). Water Research Commission, Pretoria.
32. Marker ME (1988) Soil erosion in a catchment near Alice, Ciskei, Southern Africa. Balkema, Rotterdam.
33. Märker M, Moretti S, Rodolfi G (2001) Assessment of water erosion processes and dynamics in semiarid regions of southern Africa (KwaZulu/Natal RSA; Swaziland) using the Erosions Response Units Concept. Geografia Fisica Dinamica Quaternaria 24: 71-83.
34. Mc Cool DK, Brown LC, Foster GR, Mutchler CK, Meyer LD (1987) Revised slope steepness factor for the Universal Soil Loss Equation. Trans ASAE 30: 1387-1396.
35. Mc Cool DK, Foster GR, Mutchler CK, Meyer LD (1989) Revised slope length factor for the Universal Soil Loss Equation. Trans ASAE 32: 1571-1576.
36. McPhee PJ, Smithen AA (1984) Applications of USLE in the Republic of South Africa. Agricultural Engineering in South Africa.
37. Meadows ME, Hoffman MT (2002) The nature, extent and causes of land degradation in South Africa: legacy of the past, lessons for the South Africa. University of Cape Town Press, Cape Town.
38. Millward A, Mersey J (1999) Adapting the RUSLE to model soil erosion potential in a mountainous tropical watershed. Catena 38: 109-129.
39. Morgan RPC, Quinton JN, Smith RE, Govers G, Poesen JWA, Auerswald K, Chisci G, Torri D, Styczen ME (1998) The European Soil Erosion Model (EUROSEM): a dynamic approach for predicting sediment transport from fields and small catchments. Earth Surf Process Landf 23: 527-544.
40. Nearing MA, Foster GR, Lane LJ, Finkner SC (1989) A process-based soil erosion model for USDA-Water Erosion Prediction Project Technology. Trans ASAE 32: 1587-1593.
41. Nyakatawa EZ, Reddy KC, Lemunyon JL (2001) Predicting soil erosion in conservation tillage cotton production systems using the revised universal soil loss equation (RUSLE). Soil Tillage Res 57: 213-224.
42. Oldeman LR, Hakkeling RTA, Sombroek WG (1990) World map of the status of human-induced soil degradation: an explanatory note. Revised edn. Wageningen/Nairobi: international soil reference and information. United Nations Environment Programme.
43. Olderman LR (1994) The global extent of soil degradation. In: Greenland DJ, Saboles T (eds) Soil resilience and sustainable landuse. Commonwealth Agricultural Bureau International, Wallingford.
44. Onori F, De Bonis P, Grauso S (2006) Soil erosion prediction at the basin scale using the revised universal soil loss equation (RUSLE) in a catchment of Sicily (southern Italy). Environ Geol 50: 1129-1140.
45. Park YS, Kim J, Kim NW, Kim SJ, Jeon J, Engel BA, Jang W, Lim K (2010) Development of new R, C and SDR modules for the SATEEC GIS system. Comput Geosci 36(2010): 726-734.
46. PCI Geomatica 10. 3 (2009) PCI Geomatica Orthoengine manual. PCI Geomatics Inc.
47. Renard KG, Foster GR (ed) (1983) Soil conservation-principles of erosion by water, Soil Science Society of America. American Society of Agronomy, Madison.
48. Renard KG, Foster GR, Weesies GA, Porter JP (1991) RUSLE: revised Universal Soil Loss Equation. J Soil Water Conserv 46(1): 30-33.
49. Renard KG, Foster GR, Yoder DC, McCool DK (1994) RUSLE revisited: status, questions, answers, and the future. J Soil Water Conserv 49(3): 213-220.
50. Renard KG, Foster FG, Weesies GA, McCool DK, Yoder DC (1997) Predicting soil erosion by water: a guide to conservation planning with the revised Universal Soil Loss Equation (RUSLE) (Vol. Handbook #703). US Department of Agriculture, Washington.
51. SANBI (2009) STEP: conservation priority status. Mega-conservancy networks. http://bgis. sanbi. org/STEP/priorityStatus. Asp. Accessed 10 June 2009.
52. Tanga LV (1992) Rainfall disparties in the Eastern Cape region: the case of Alice and Hogsback (1967 to 1987). Unpublished M. Sc. thesis. University of Fort Hare, Alice, South Africa.
53. Taruvinga K (2009) Gully mapping using remote sensing: case study in Kwazulu-Natal, South Africa. Masters Thesis. University of Waterloo.
54. van der Knijff JM, Jones RJA, Montanarella L (1999) Soil erosion risk assessment in Italy. Joint Research Center of the European Commission, NY.
55. van der Knijff JM, Jones RJA, Montanarella AL (2000) Soil erosion risk assessment in Europe. Joint Research Center of the European Commission, NY.
56. van Leeuwen WJD, Sammons G (2003) Seasonal land degradation risk assessment for Arizona. In: Proceedings of the 30th international symposium on remote sensing of environment, 2003 November 10-14, Honolulu, HI. ISRSE, Tucson.
57. van Leeuwen WJD, Sammons G (2005) Vegetation dynamics and erosion modeling using remotely sensed data (MODIS) and GIS. In: Tenth biennial USDA forest service remote sensing applications conference, 2004 April 5-9, Salt Lake City, UT. U. S. Department of Agriculture Forest Service Remote Sensing Applications Center, Salt Lake City.
58. Vanoni VA (1975) Sedimentation engineering, manual and report no. 54. American Society of Civil Engineers, New York.
59. Walling DE (1988) Erosion and sediment yield research-some recent perspectives. J Hydrol 100: 113-141.
60. Wang GGG, Fang S, Anderson AB (2003) Mapping multiple variables for predicting soil loss by geostatistical methods with TM images and a slope map. Photogramm Eng Remote Sens 69: 889-898.
61. Weaver AvB (1991) The distribution of soil erosion as a function of slope aspect and parent material in Ciskei, Southern Africa. GeoJournal 23(1): 29-34.
62. Wischmeier WH, Smith DD (1978) Predicting rainfall erosion losses-a guide to conservation. Agricultural Handbook 537. US Department of Agriculture, Washington.
63. WRC (1995a) Precipitation data for South Africa from the WR90 project. WR90: Surface water resources of South Africa 1990.
64. WRC (1995b) Geomorphology: soil groups based on 1989 revised broad homogeneous natural regions map-Natal University. WR 90: surface water resources of South Africa 1990.