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Assessment of erosion hazard with the USLE and GIS: A case study of the Upper Ewaso Ng'iro North basin of Kenya

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Assessment of erosion hazard with the USLE and GIS: A case study of the Upper Ewaso Ng'iro North basin of Kenya. / Mati, Bancy M.; Morgan, Royston P.; Gichuki, Francis N. et al.
In: International Journal of Applied Earth Observation and Geoinformation, Vol. 2, No. 2, 01.12.2000, p. 78-86.

Research output: Contribution to Journal/MagazineJournal articlepeer-review

Harvard

Mati, BM, Morgan, RP, Gichuki, FN, Quinton, JN, Brewer, TR & Liniger, HP 2000, 'Assessment of erosion hazard with the USLE and GIS: A case study of the Upper Ewaso Ng'iro North basin of Kenya', International Journal of Applied Earth Observation and Geoinformation, vol. 2, no. 2, pp. 78-86. https://doi.org/10.1016/S0303-2434(00)85002-3

APA

Mati, B. M., Morgan, R. P., Gichuki, F. N., Quinton, J. N., Brewer, T. R., & Liniger, H. P. (2000). Assessment of erosion hazard with the USLE and GIS: A case study of the Upper Ewaso Ng'iro North basin of Kenya. International Journal of Applied Earth Observation and Geoinformation, 2(2), 78-86. https://doi.org/10.1016/S0303-2434(00)85002-3

Vancouver

Mati BM, Morgan RP, Gichuki FN, Quinton JN, Brewer TR, Liniger HP. Assessment of erosion hazard with the USLE and GIS: A case study of the Upper Ewaso Ng'iro North basin of Kenya. International Journal of Applied Earth Observation and Geoinformation. 2000 Dec 1;2(2):78-86. doi: 10.1016/S0303-2434(00)85002-3

Author

Mati, Bancy M. ; Morgan, Royston P. ; Gichuki, Francis N. et al. / Assessment of erosion hazard with the USLE and GIS : A case study of the Upper Ewaso Ng'iro North basin of Kenya. In: International Journal of Applied Earth Observation and Geoinformation. 2000 ; Vol. 2, No. 2. pp. 78-86.

Bibtex

@article{46e1eda6fc3c4d57b8248ea08e2998a5,
title = "Assessment of erosion hazard with the USLE and GIS: A case study of the Upper Ewaso Ng'iro North basin of Kenya",
abstract = "The Universal Soil Loss Equation (USLE) was used to predict soil erosion hazard in the Upper Ewaso Ng'iro North basin of Kenya using data from erosion plots and reconnaissance surveys. The R-factor (rainfall erosivity) was determined by extrapolation from the rainfall amount-erosivity relationship, using data from autographic records. The K-factor (soil erodibility) was determined using data obtained by laboratory analysis of soil samples collected from 83 test sites in the basin. The LS-factors (slope length and steepness) were determined from a digital elevation model (DEM) of the basin, while the C-factor (crop and management) was determined from vegetation cover data, obtained from SPOT imagery and field surveys. The P-factor (conservation practice) was estimated from maps of soil conservation, obtained from the Ministry of Agriculture. A raster-based Geographic Information System (GIS) was used to interactively calculate soil loss and map erosion hazard. The results obtained were comparable to measured soil loss values from erosion plots. About 36 percent of the Upper Ewaso Ng'iro basin was predicted to have high risk of erosion, most of this land being in the overgrazed rangelands. Land use and management were the major factors associated with soil erosion, and - to a lesser extent - the topography. Due to the reconnaissance scale of this study there were limitations in determining reliable LS, C and P factors for the USLE. In addition, there is a need for research to determine appropriate P-factors for local soil conservation practices, such as trash lines, fanya-juu terraces and stone lines.",
keywords = "GIS, Kenya, Soil erosion hazard assessment, Upper Ewaso Ng'iro basin, USLE",
author = "Mati, {Bancy M.} and Morgan, {Royston P.} and Gichuki, {Francis N.} and Quinton, {John N.} and Brewer, {Tim R.} and Liniger, {Hans P.}",
note = "M1 - 2",
year = "2000",
month = dec,
day = "1",
doi = "10.1016/S0303-2434(00)85002-3",
language = "English",
volume = "2",
pages = "78--86",
journal = "International Journal of Applied Earth Observation and Geoinformation",
publisher = "International Institute for Aerial Survey and Earth Sciences",
number = "2",

}

RIS

TY - JOUR

T1 - Assessment of erosion hazard with the USLE and GIS

T2 - A case study of the Upper Ewaso Ng'iro North basin of Kenya

AU - Mati, Bancy M.

AU - Morgan, Royston P.

AU - Gichuki, Francis N.

AU - Quinton, John N.

AU - Brewer, Tim R.

AU - Liniger, Hans P.

N1 - M1 - 2

PY - 2000/12/1

Y1 - 2000/12/1

N2 - The Universal Soil Loss Equation (USLE) was used to predict soil erosion hazard in the Upper Ewaso Ng'iro North basin of Kenya using data from erosion plots and reconnaissance surveys. The R-factor (rainfall erosivity) was determined by extrapolation from the rainfall amount-erosivity relationship, using data from autographic records. The K-factor (soil erodibility) was determined using data obtained by laboratory analysis of soil samples collected from 83 test sites in the basin. The LS-factors (slope length and steepness) were determined from a digital elevation model (DEM) of the basin, while the C-factor (crop and management) was determined from vegetation cover data, obtained from SPOT imagery and field surveys. The P-factor (conservation practice) was estimated from maps of soil conservation, obtained from the Ministry of Agriculture. A raster-based Geographic Information System (GIS) was used to interactively calculate soil loss and map erosion hazard. The results obtained were comparable to measured soil loss values from erosion plots. About 36 percent of the Upper Ewaso Ng'iro basin was predicted to have high risk of erosion, most of this land being in the overgrazed rangelands. Land use and management were the major factors associated with soil erosion, and - to a lesser extent - the topography. Due to the reconnaissance scale of this study there were limitations in determining reliable LS, C and P factors for the USLE. In addition, there is a need for research to determine appropriate P-factors for local soil conservation practices, such as trash lines, fanya-juu terraces and stone lines.

AB - The Universal Soil Loss Equation (USLE) was used to predict soil erosion hazard in the Upper Ewaso Ng'iro North basin of Kenya using data from erosion plots and reconnaissance surveys. The R-factor (rainfall erosivity) was determined by extrapolation from the rainfall amount-erosivity relationship, using data from autographic records. The K-factor (soil erodibility) was determined using data obtained by laboratory analysis of soil samples collected from 83 test sites in the basin. The LS-factors (slope length and steepness) were determined from a digital elevation model (DEM) of the basin, while the C-factor (crop and management) was determined from vegetation cover data, obtained from SPOT imagery and field surveys. The P-factor (conservation practice) was estimated from maps of soil conservation, obtained from the Ministry of Agriculture. A raster-based Geographic Information System (GIS) was used to interactively calculate soil loss and map erosion hazard. The results obtained were comparable to measured soil loss values from erosion plots. About 36 percent of the Upper Ewaso Ng'iro basin was predicted to have high risk of erosion, most of this land being in the overgrazed rangelands. Land use and management were the major factors associated with soil erosion, and - to a lesser extent - the topography. Due to the reconnaissance scale of this study there were limitations in determining reliable LS, C and P factors for the USLE. In addition, there is a need for research to determine appropriate P-factors for local soil conservation practices, such as trash lines, fanya-juu terraces and stone lines.

KW - GIS

KW - Kenya

KW - Soil erosion hazard assessment

KW - Upper Ewaso Ng'iro basin

KW - USLE

U2 - 10.1016/S0303-2434(00)85002-3

DO - 10.1016/S0303-2434(00)85002-3

M3 - Journal article

VL - 2

SP - 78

EP - 86

JO - International Journal of Applied Earth Observation and Geoinformation

JF - International Journal of Applied Earth Observation and Geoinformation

IS - 2

ER -