Crop type identification using multi-temporal and multi-spectral satellite images for Gumara- Maksegnit watershed
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Sisay Kibruyesfa, Feras M. Ziadat. (1/12/2015). Crop type identification using multi-temporal and multi-spectral satellite images for Gumara- Maksegnit watershed, in "Mitigating land degradation and improving livelihood: An integrated approach. ". New York, United States of America: Taylor & Francis (Routledge).
The aim of this chapter is to monitor run-off and sediment yield of the gully networks and to maintain and calibrate the sensor equipment installed at three gauging stations within the Gumara-Maksegnit watershed. It focuses on the assessment of gully erosion in Aba Kaloye sub-catchment. The chapter evaluates the effectiveness of stone bunds on reducing soil loss during the rainy season based on an erosion plot experiment. It demonstrates the potential soil conservation effects. Surface run-off and sediment yield is collected in the retention basins at weekly intervals. Sediment yield from the watershed and the sub-catchments was calculated by combining discharge and sediment concentration data sourcing from turbidity measurements. The calibration of the rating curve at the main outlet and the assessment of the weir equation at the sub-catchments enabled the estimation of the gully run-off at different levels within the Gumara-Maksegnit watershed.