C-FACTOR

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Integration of RUSLE Model with Remote Sensing and GIS Tools for Soil Loss Estimation in the Kubanni Drainage Basin, Zaria, Nigeria
《Journal of Geoscience and Environment Protection》2024年第11期173-190,共18页Kenneth Onyemauche Ezenwa Reuben Jobien Jacob Sadiq Abdullahi Yelwa 
The prevalence of unwholesome land use practices and population pressure exacerbates soil loss which is worsening the problem of sedimentation of the Kubanni dam. This study was conducted at the Kubanni drainage basin...
关键词：Soil Loss Watershed Erosivity (R-Factor) Erodibility (K-Factor) Cover Management Factor (C-Factor) Slope Length and Steepness Factor (LS-Factor) Support Practice Factor (P-Factor) 
Spatiotemporal variability in the C-factor: An analysis using high resolution satellite imagery
《International Journal of Sediment Research》2024年第1期83-99,共17页Nabil Allataifeh Ramesh Rudra Prasad Daggupati Jaskaran Dhiman Pradeep Goel Shiv Prasher 
Estimating the cover and management factor(C-factor)for Universal Soil Loss Equation(USLE)that varies spatially and temporally within a watershed is time-consuming and resource-intensive.The Normalized Difference Vege...
关键词：Normalized Difference Vegetation Index(NDVI) Cover and management factor Universal Soil Loss Equation(USLE) Temporal scale Spatial scale 
A field parcel-oriented approach to evaluate the crop cover-management factor and time-distributed erosion risk in Europe被引量：1
《International Soil and Water Conservation Research》2023年第1期43-59,共17页Francis Matthews Gert Verstraeten Pasquale Borrelli Panos Panagos 
The crop cover-management(C-)factor in arable landscapes describes the soil erosion susceptibility associated with seasonally cultivated crops.Previous informatic and computational limitations have led many modelling ...
关键词：C-FACTOR Soil erosion Modelling Remote sensing Crop-phenology IACS data Soil conservation EUROPE 
Synergy of remotely sensed data in spatiotemporal dynamic modeling of the crop and cover management factor被引量：1
《Pedosphere》2022年第3期381-392,共12页Pooja P.PREETHA Ashraf Z.AL-HAMDAN 
Soil erosion is a threat to the water quality constituents of sediments and nutrients and can cause long-term environmental damages.One important parameter to quantify the risk of soil loss from erosion is the crop an...
关键词：C-FACTOR enhanced vegetation index land cover modeling remote sensing soil erosion soil moisture solar radiation 
New approach for obtaining the C-factor of RUSLE considering the seasonal effect of rainfalls on vegetation cover被引量：4
《International Soil and Water Conservation Research》2021年第2期207-216,共10页Pietro Menezes Sanchez Macedo Paulo Tarso Sanches Oliveira Mauro Antonio Homem Antunes Valdemir Lucio Durigon Elaine Cristina Cardoso Fidalgo Daniel Fonseca de Carvalho 
Paulo Tarso S.Oliveira was supported by the Brazilian National Council for Scientific and Technological Development(CNPq)(grants 441289/2017e7 and 306830/2017e5);the Coordination of Superior Level Staff Improvement-Brazil(CAPES)(Finance Code 001).
We present a new approach for calculating the C-factor of RUSLE considering the effect of low-reflectance vegetation cover areas on the reduction of the effects on erosion caused by rainfall seasonality.For this,we pr...
关键词：Soil erosion Land cover Soil use and management factor Vegetation seasonality NDVI 
Addressing soil protection concerns in forest ecosystem management under climate change被引量：4
《Forest Ecosystems》2020年第3期432-442,共11页Ana Raquel Rodrigues Brigite Botequim Catarina Tavares Patrícia Pécurto JoséGBorges 
ALTERFOR project,“Alternative models and robust decision-making for future forest management”,H2020-ISIB-2015-2/grant agreement No. 676754,funded by European Union Seventh Framework Programme;SUFORUN project,‘Models and decision SUpport tools for integrated FOrest policy development under global change and associated Risk and UNcertainty’ funded by the European Union’s H2020 research and innovation program under the Marie Sklodowska-Curie Grant Agreement number 691149;BIOECOSYS project,“Forest ecosystem management decision-making methods an integrated bioeconomic approach to sustainability”(LISBOA-01-0145-FEDER-030391,PTDC/ASP-SIL/30391/2017);MedFOR,Master Programme on Mediterranean Forestry and Natural Resources Management (Erasmus+Erasmus Mundus Joint Master Degrees,Project 20171917);Centro de Estudos Florestais,research unit funded by Fundacao para a Ciência e a Tecnologia I.P.(FCT),Portugal within UIDB/00239/2020。
Background: Climate change may strongly influence soil erosion risk, namely through variations in the precipitation pattern. Forests may contribute to mitigate the impacts of climate change on soil erosion and forest ...
关键词：C-FACTOR EROSIVITY Ecosystem services Forest management Revised universal soil loss equation(RUSLE) 
Improving cover and management factor (C-factor) estimation using remote sensing approaches for tropical regions被引量：7
《International Soil and Water Conservation Research》2019年第4期325-334,共10页André Almagro Thais Caregnatto Thomé Carina Barbosa Colman Rodrigo Bahia Pereira José Marcato Junior Dulce Buchala Bicca Rodrigues Paulo Tarso Sanches Oliveira 
supported by the Ministry of Science,Technology,Innovation and Communication-MCTIC and National Council for Scientific and Technological Development-CNPq [grant numbers 441289/2017-7 and 306830/2017-5].
The Revised Universal Soil Loss Equation (RUSLE)'s cover and management factor (C-factor) is one of the most difficult factors to obtain,mainly because long-term monitoring soil erosion plots under natural rainfall ar...
关键词：Soil EROSION RUSLE NDVI LANDSAT 8 LAND use/land COVER 
Spatial and seasonal dynamics of soil loss ratio in mountain rangelands of south-western Kyrgyzstan
《Journal of Mountain Science》2016年第2期316-329,共14页Maksim KULIKOV Udo SCHICKI-IOFF Peter BORCHARDT 
project “The Impact of the Transformation Process on Human-Environment Interactions in Southern Kyrgyzstan”;funded by the Volkswagen Foundation,Hannover,Germany
Vegetation cover is the main factor of soil loss prevention.The C-factor of the RUSLE(Revised Universal Soil Loss Equation) was predicted with NDVI,ground data and exponential regression equation for mountain rangelan...
关键词：Soil loss ratio C-FACTOR RUSLE NDVI Time series Remote sensing 
Association between Macroscopic-factors and Identified HIV/AIDS Cases among Injecting Drug Users: An Analysis Using Geographically Weighted Regression Model被引量：1
《Biomedical and Environmental Sciences》2014年第4期311-318,共8页XING Jian Nan GUO Wei QIAN Sha Sha DING Zheng Wei CHEN Fang Fang PENG Zhi Hang QIN Qian Qian WANG Lu 
supported by the National Scientific Research Mega-Project under the 12th Five-Year Plan of China(2012ZX10001001)
Drug use （DU）, particularly injecting drug use （IDU） has been the main route of transmission and spread of Human Immunodeficiency Virus （HIV）/Acquired Immune Deficiency Syndrome （AIDSJ among injecting drug use...
关键词：AIDS HIV An Analysis Using Geographically Weighted Regression Model 
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