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Determining Cover Management Factor with Remote Sensing and Spatial Analysis for Improving Long-Term Soil Loss Estimation in Watersheds

Fuan Tsai, Jhe-Syuan Lai, Kieu Anh Nguyen, Walter Chen
2021 ISPRS International Journal of Geo-Information  
The universal soil loss equation (USLE) is a widely used empirical model for estimating soil loss.  ...  Among the USLE model factors, the cover management factor (C-factor) is a critical factor that substantially impacts the estimation result.  ...  Hence, a long-term land cover monitoring project from 2004 to 2009 was implemented using remote sensing technologies to support water resource and water supply management [25] .  ... 
doi:10.3390/ijgi10010019 fatcat:nb3oqghdenfpxbax3tlbjvkw34

A Union of Dynamic Hydrological Modeling and Satellite Remotely-Sensed Data for Spatiotemporal Assessment of Sediment Yields

Pooja Preetha, Ashraf Al-Hamdan
2022 Remote Sensing  
of SY in watersheds. (2) A connective algorithm was developed to incorporate dynamic models of the crop and cover management factor (C-factor) and the soil erodibility factor (K-factor) into the Soil  ...  The algorithm predicted the annual SY in each hydrologic response unit (HRU) of similar land cover, soil, and slope characteristics in watersheds between 2002 and 2013. (3) The modeled SY closely matched  ...  Acknowledgments: I would like to acknowledge the reviewers for enhancing the article. Conflicts of Interest: The authors declare no conflict of interest.  ... 
doi:10.3390/rs14020400 fatcat:7oil4upknnh3xcihzw7x4jmj4q

Estimation of Soil Loss Rate Using RUSLE Model Integrated with GIS and Remote Sensing Techniques The Case of Wama Watershed, Western Ethiopia

Dawit Girma Burayu
2022 Zenodo  
The Revised Universal Soil Loss Equation (RUSLE) was used in conjunction with satellite remote sensing and geographic information systems(GIS) as a useful tool for conservation planning.  ...  The goal of this study was to use model estimates and GIS to investigate the nature, extent, and rate of soil loss in the watershed.  ...  ) with GIS and remote sensing was used to estimate the soil loss of the Subbasin.  ... 
doi:10.5281/zenodo.6877848 fatcat:igha5suzejdk5gipbqlcz3ckxa

Assessment of Soil Erosion Risk in Mubi South Watershed, Adamawa State, Nigeria

S.R. Thlakma, E.O. Iguisi, A.C. Odunze, D.N. Jeb
2018 International Journal of Advanced Remote Sensing and GIS  
The Soil cover management factor ranges from the higher value of 0.5 to the lower value of 0.01 in the watershed, 15.8 mm to 15.7 mm occurrences of daily rainfall and 492.34 mm rainfall and runoff covered  ...  The study aims to assessment soil erosion risk in Mubi South watershed with the aid of RUSEL model and Geospatial techniques.  ...  2320 -0243) International Journal of Advanced Remote Sensing and GIS 2530 Source: Author's Analysis (2016) Soil within the watershed Source: Author's Analysis (2016) Cover Management Factor (C-Factor)  ... 
doi:10.23953/cloud.ijarsg.340 fatcat:rbi6xq2vazbazimjmlvqnquzui

Spatial analysis of vegetal cover and sediment yield in Tapacurá river catchment based on remote sensing and GIS

Richarde Da Silva, Celso Santos, Suzana Montenegro, Leonardo E Silva
2010 Annals of Warsaw University of Life Sciences, Land Reclamation  
Spatial analysis of vegetal cover and sediment yield in Tapacurá river catchment based on remote sensing and GIS Mapping and assessment of erosion risk is an important tool for planning of natural resources  ...  The objective of this study is to evaluate the spatial variability of vegetal cover and sediment yield in this basin through remote sensing and GIS techniques.  ...  Acknowledgments: The authors wish to thank the Hydraulic Laboratory of the Federal University of Pernambuco, Brazil, for providing the database, digital maps and others resources.  ... 
doi:10.2478/v10060-008-0059-5 fatcat:j7u74srhyzhilek6phfbannlde

Assessment of spatial distribution of soil loss over the upper basin of Miyun reservoir in China based on RS and GIS techniques

Tao Chen, Rui-qing Niu, Yi Wang, Ping-xiang Li, Liang-pei Zhang, Bo Du
2010 Environmental Monitoring & Assessment  
or C factor, which represents the effects of vegetation canopy and ground covers in reducing soil loss, has been one of the most difficult to estimate over broad geographic areas.  ...  In this paper, the C factor was estimated based on back propagation neural network and the results were compared with the values measured in the field.  ...  Thus, it is important to improve the ways in which the C factor is estimated using remote sensing.  ... 
doi:10.1007/s10661-010-1766-z pmid:21058050 fatcat:k4xk2dzqrbhjdiovwsz7ktjowq

Modelling soil erosion risk in a mountainous watershed of Mid-Himalaya by integrating RUSLE model with GIS

Justin Kalambukattu, Suresh Kumar
2017 Eurasian Journal of Soil Science  
Revised Universal Soil Loss equation (RUSLE) model using remote sensing (RS) and Geographical Information Systems (GIS) inputs was employed to estimate soil erosion risk in a watershed of mid-Himalaya  ...  The soil erosion map thus generated employing remote sensing and GIS techniques, can serve as a tool for deriving strategies for effective planning and implementation of various management and conservation  ...  This study reveals that RUSLE model along with remote sensing and GIS inputs can be a powerful tool for assessing soil erosion risk and thus for effective adoption of conservation and management strategies  ... 
doi:10.18393/ejss.286442 fatcat:yzouw4fowjh3tngjdcjmg5tmoy

Estimation of Soil Erosion Risk in Mubi South Watershed, Adamawa State, Nigeria

Richard TS, Iguisi EO, Odunze AC, Jeb DN
2018 Journal of Remote Sensing & GIS  
The study aims to estimation soil erosion risk in Mubi South watershed with the aid of RUSLE model and Geospatial techniques.  ...  The Soil cover management factor ranges from the higher value of 0.5 to the lower value of 0.01 in the watershed, 15.8 mm to 15.7 mm occurrences of daily rainfall and 492.34 mm rainfall and runoff covered  ...  Due to the variety of land cover patterns with spatial and temporal variations, satellite remote sensing data sets were used for the assessment of C-factor [28, 29] .  ... 
doi:10.4172/2469-4134.1000226 fatcat:lrrznr7z7zgozhofeidg5gccye

Estimation of Soil Erosion Using RUSLE Model and GIS Techniques for Conservation Planning from Kulekhani Reservoir Catchment, Nepal

Jeevan Kumar Ban, Insang Yu, Sangman Jeong
2016 Korean Society of Hazard Mitigation  
Soil Loss assessment In order to estimate soil erosion from watershed, RUSLE and GIS environments along with remote sensing data were used.  ...  Present study aims to generate spatial erosion map with RUSLE and GIS technique and to evaluate the applicability of RUSLE model for evaluation of long term soil erosion status and distribution in mountainous  ... 
doi:10.9798/kosham.2016.16.3.323 fatcat:hgaj7t3z4jha3meiydcs3bupay


Ana Paula Campos Xavier, Richarde Marques da Silva, Alexandro Medeiros Silva, Celso Augusto Guimarães Santos
2016 Revista Brasileira de Cartografia  
The factors of soil erodibility (K), the topography (LS), and land use and management (C) were obtained in a GIS environment from soil type maps, digital elevation model (DEM) developed for the basin.  ...  In the upper region of Mamuaba basin, the predominant classes were "Very High" and "Extremely High". High values of soil losses were predominance in regions of Red-Yellow Acrisol covered by pasture.  ...  Therefore, this paper intends to evaluate and identify critical sub-watersheds within a Brazilian watershed for soil conservation management using the Universal Soil Loss Equation (USLE) with remote sensing  ... 
doaj:8bcd6042b7eb4031ac2f013e1dc62bfa fatcat:ppnhfmr5fndilej3ok5ktqyrme

Land use and land cover changes and Soil erosion in Yezat Watershed, North Western Ethiopia

Lemlem Tadesse, K.V. Suryabhagavan, G. Sridhar, Gizachew Legesse
2017 International Soil and Water Conservation Research  
Keywords: Biomass GIS NDVI Land-use and land-cover Remote sensing RUSLE a b s t r a c t Soil erosion affects land qualities and water resources.  ...  Management interventions are necessary to improve the status and utilization of watershed resources in response to sustainable land management practices for sustainable livelihood of the local people.  ...  We also thank the anonymous reviewers for their valuable comments to improve the manuscript.  ... 
doi:10.1016/j.iswcr.2017.05.004 fatcat:dtdx7rwmyba67mf4a7b63b54um

Evaluation of Conservation Effects Assessment Project Grazing Lands conservation practices on the Cienega Creek watershed in southeast Arizona with AGWA/RHEM modeling tools

D.C. Goodrich, H. Wei, I.S. Burns, D.P. Guertin, K. Spaeth, M. Hernandez, C. Holifield-Collins, M. Kautz, P. Heilman, L.R. Levick, G. Ponce, E. Carrillo (+1 others)
2020 Journal of Soil and Water Conservation  
The assessment demonstrated the utility of remotely sensed estimates of plant growth form and cover for model inputs to estimate changes in runoff and sediment yield with changing cover conditions over  ...  Remote sensing was capable of detecting and estimating the changes in vegetation cover from brush removal and prescribed burns.  ...  Disclaimer The findings and conclusions in this publication are those of the author(s) and should not be construed to represent any official USDA determination or policy.  ... 
doi:10.2489/jswc.75.3.304 fatcat:jx6osovi3nfy5isco6qmng5l64

Estimation of soil erosion risk within a small mountainous sub-watershed in Kerala, India, using Revised Universal Soil Loss Equation (RUSLE) and geo-information technology

V. Prasannakumar, H. Vijith, S. Abinod, N. Geetha
2012 Geoscience Frontiers  
The spatial erosion maps generated with RUSLE method and GIS can serve as effective inputs in deriving strategies for land planning and management in the environmentally sensitive mountainous areas. ª  ...  GIS data layers including, rainfall erosivity (R), soil erodability (K), slope length and steepness (LS), cover management (C) and conservation practice (P) factors were computed to determine their effects  ...  India and Kerala State Council for Science Technology and Environment (KSCSTE).  ... 
doi:10.1016/j.gsf.2011.11.003 fatcat:x3i2qm3mzjccfaqnhhcpnlnkcm

Soil Erosion Risk Assessment in Nashe Dam Reservoir Using Remote Sensing, GIS and RUSLE Model Techniques in Horro Guduru Wollega Zone, Oromia Region, Ethiopia

Ayana Abera Beyene
2019 Journal of Civil, Construction and Environmental Engineering  
The research integrates the Revised Universal Soil Loss Equation (RUSLE) with a Geographic Information System (GIS) and Remote Sensing (RS) to quantify the potential soil erosion risk and land use land  ...  It is also a major watershed problem in many developing countries causing significant loss of soil fertility, loss of productivity and environmental degradation.  ...  C = cover management factor; the ratio of soil loss from an area with specified cover and management to soil loss from an identical area with no vegetative cover (dimensionless, ranging between 0 and 1  ... 
doi:10.11648/j.jccee.20190401.11 fatcat:apshflm3yfh4xlha7qq35dhdtm

State of the Art of Land Use Planning Using Remote Sensing and GIS

S.D Vikhe, Dr. K.A Patil
2014 IOSR Journal of Mechanical and Civil Engineering  
The review related to 'Land use Planning' using remote sensing and GIS is discussed in the present paper.  ...  Number of researchers have been established the applicability of Remote sensing and Geographical Information system to solve problems in agricultural related to land use planning.  ...  The long-term hydrologic impact analysis model and a geographic information systembased soil conservation service curve number method were used to estimate average annual runoff and runoff for rainfall  ... 
doi:10.9790/1684-11554147 fatcat:h2smgs3a4nedrnom5dhelkaxv4
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