Crop type identification using multi-temporal and multi-spectral satellite images for Gumara- Maksegnit watershed

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cg.contactferas.ziadat@fao.orgen_US
cg.contributor.centerInternational Center for Agricultural Research in the Dry Areas - ICARDAen_US
cg.contributor.centerUniversity of Natural Resources and Life Sciences, Center for Development Research - BOKU - CDRen_US
cg.contributor.crpCGIAR Research Program on Water, Land and Ecosystems - WLEen_US
cg.contributor.funderAustrian Development Agency - ADAen_US
cg.contributor.projectReducing land degradation and farmers’ vulnerability to climate change in the highland dry areas of north-western Ethiopiaen_US
cg.contributor.project-lead-instituteInternational Center for Agricultural Research in the Dry Areas - ICARDAen_US
cg.coverage.admin-unitamharaen_US
cg.coverage.countryETen_US
cg.coverage.regionEastern Africaen_US
cg.date.embargo-end-dateTimelessen_US
cg.isbn9780367173241en_US
cg.subject.agrovocwatershedsen_US
cg.subject.agrovocsatellite imageryen_US
dc.contributorZiadat, Feras M.en_US
dc.creatorKibruyesfa, Sisayen_US
dc.date.accessioned2017-02-13T12:51:16Z
dc.date.available2017-02-13T12:51:16Z
dc.description.abstractThe 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.en_US
dc.formatPDFen_US
dc.identifierhttps://mel.cgiar.org/dspace/limiteden_US
dc.identifier.citationSisay 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).en_US
dc.identifier.statusTimeless limited accessen_US
dc.identifier.urihttps://hdl.handle.net/20.500.11766/5742
dc.languageenen_US
dc.publisherTaylor & Francis (Routledge)en_US
dc.titleCrop type identification using multi-temporal and multi-spectral satellite images for Gumara- Maksegnit watersheden_US
dc.typeBook Chapteren_US
dcterms.available2015-12-01en_US
dcterms.issued2015-12-01en_US
mel.funder.grant#Austrian Development Agency - ADA :Korr/185-PP/2012en_US
mel.project.openhttp://rainfedsystems.icarda.org/en_US

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