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A novel ensemble bivariate statistical evidential belief function with knowledge-based analytical hierarchy process and multivariate statistical logistic regression for landslide susceptibility mapping
A novel ensemble bivariate statistical evidential belief function with knowledge-based analytical hierarchy process and multivariate statistical logistic regression for landslide susceptibility mapping
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A novel ensemble bivariate statistical evidential belief function with knowledge-based analytical hierarchy process and multivariate statistical logistic regression for landslide susceptibility mapping

Althuwaynee, Omar F. ; Pradhan, Biswajeet ; Park, Hyuck-Jin ; Lee, Jung Hyun

Catena (Giessen), 2014-03, Vol.114, p.21-36 [Periódico revisado por pares]

Cremlingen-Destedt: Elsevier B.V

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2
Morphometric analysis of debris flows and their source areas using GIS
Morphometric analysis of debris flows and their source areas using GIS
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Morphometric analysis of debris flows and their source areas using GIS

Chen, Chien-Yuan ; Yu, Fan-Chieh

Geomorphology (Amsterdam, Netherlands), 2011-06, Vol.129 (3-4), p.387-397 [Periódico revisado por pares]

Amsterdam: Elsevier B.V

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3
Prediction of spatial soil loss impacted by long-term land-use/land-cover change in a tropical watershed
Prediction of spatial soil loss impacted by long-term land-use/land-cover change in a tropical watershed
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Prediction of spatial soil loss impacted by long-term land-use/land-cover change in a tropical watershed

Abdulkareem, J.H. ; Pradhan, B. ; Sulaiman, W.N.A. ; Jamil, N.R.

Di xue qian yuan., 2019-03, Vol.10 (2), p.389-403 [Periódico revisado por pares]

Oxford: Elsevier B.V

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4
The use of GRACE data to monitor natural and anthropogenic induced variations in water availability across Africa
The use of GRACE data to monitor natural and anthropogenic induced variations in water availability across Africa
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The use of GRACE data to monitor natural and anthropogenic induced variations in water availability across Africa

Ahmed, Mohamed ; Sultan, Mohamed ; Wahr, John ; Yan, Eugene

Earth-science reviews, 2014-09, Vol.136 (C), p.289-300 [Periódico revisado por pares]

Amsterdam: Elsevier B.V

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5
Basinga: A cell‐by‐cell GIS toolbox for computing basin average scaling factors, cosmogenic production rates and denudation rates
Basinga: A cell‐by‐cell GIS toolbox for computing basin average scaling factors, cosmogenic production rates and denudation rates
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Basinga: A cell‐by‐cell GIS toolbox for computing basin average scaling factors, cosmogenic production rates and denudation rates

Charreau, Julien ; Blard, Pierre‐Henri ; Zumaque, Jéna ; Martin, Léo C.P. ; Delobel, Tony ; Szafran, Lucas

Earth surface processes and landforms, 2019-09, Vol.44 (12), p.2349-2365 [Periódico revisado por pares]

Bognor Regis: Wiley Subscription Services, Inc

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6
Styles of extension offshore mid-Norway and implications for mechanisms of crustal thinning at passive margins
Styles of extension offshore mid-Norway and implications for mechanisms of crustal thinning at passive margins
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Styles of extension offshore mid-Norway and implications for mechanisms of crustal thinning at passive margins

Osmundsen, P. T. ; Ebbing, J.

Tectonics (Washington, D.C.), 2008-12, Vol.27 (6), p.TC6016-n/a [Periódico revisado por pares]

American Geophysical Union

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7
How large is the Upper Indus Basin? The pitfalls of auto-delineation using DEMs
How large is the Upper Indus Basin? The pitfalls of auto-delineation using DEMs
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How large is the Upper Indus Basin? The pitfalls of auto-delineation using DEMs

Khan, Asif ; Richards, Keith S. ; Parker, Geoffrey T. ; McRobie, Allan ; Mukhopadhyay, Biswajit

Journal of hydrology (Amsterdam), 2014-02, Vol.509, p.442-453 [Periódico revisado por pares]

Kidlington: Elsevier B.V

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8
Improved framework model to allocate optimal rainwater harvesting sites in small watersheds for agro-forestry uses
Improved framework model to allocate optimal rainwater harvesting sites in small watersheds for agro-forestry uses
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Improved framework model to allocate optimal rainwater harvesting sites in small watersheds for agro-forestry uses

Terêncio, D.P.S. ; Sanches Fernandes, L.F. ; Cortes, R.M.V. ; Pacheco, F.A.L.

Journal of hydrology (Amsterdam), 2017-07, Vol.550 (C), p.318-330 [Periódico revisado por pares]

Netherlands: Elsevier B.V

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9
Identification of dominant source of errors in developing streamflow and groundwater projections under near‐term climate change
Identification of dominant source of errors in developing streamflow and groundwater projections under near‐term climate change
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Identification of dominant source of errors in developing streamflow and groundwater projections under near‐term climate change

Seo, S. B. ; Sinha, T. ; Mahinthakumar, G. ; Sankarasubramanian, A. ; Kumar, M.

Journal of geophysical research. Atmospheres, 2016-07, Vol.121 (13), p.7652-7672 [Periódico revisado por pares]

Washington: Blackwell Publishing Ltd

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10
An improved method for calculating slope length (λ) and the LS parameters of the Revised Universal Soil Loss Equation for large watersheds
An improved method for calculating slope length (λ) and the LS parameters of the Revised Universal Soil Loss Equation for large watersheds
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An improved method for calculating slope length (λ) and the LS parameters of the Revised Universal Soil Loss Equation for large watersheds

Zhang, Hongming ; Wei, Jicheng ; Yang, Qinke ; Baartman, Jantiene E.M. ; Gai, Lingtong ; Yang, Xiaomei ; Li, ShuQin ; Yu, Jiantao ; Ritsema, Coen J. ; Geissen, Violette

Geoderma, 2017-12, Vol.308, p.36-45 [Periódico revisado por pares]

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