Results 121 to 130 of about 26,715 (247)

Gully erosion in India: Geo‐environmental controls and region‐specific characteristics

Geographical Research, Volume 64, Issue 2, May 2026.
Spatial statistical analyses using a novel spatial database of India‧s gully erosion landforms revealed that India has six major gullying‐affected regions, three of which (EU, DU, and KCH) are dominated by gully systems (gully networks), with badlands (vast intensely gullied landscapes) being predominant in the other three regions (YB, GP, and RU ...
Anindya Majhi, Martin Evans, Emma Shuttleworth, Angela Harris   +3 more
wiley   +1 more source

An Experimental Study on Effects of Rainfall, Inflow and Slope Gradient on Ephemeral Gully Slope Erosion in Chinese Mollisol Region

Shuitu Baochi Xuebao
[Objective] In order to investigate the effects of rainfall intensity, inflow rate and slope gradient on hillslope ephemeral gully erosion and implement precise soil and water conservation measures.
GENG Huajie, ZHENG Fenli, ZHAO Luyou, WANG Lun, ZHAO Ting, QIN Qishan, AN Xiaobing   +6 more
doaj   +1 more source

Mapping gully severity areas using AHP techniques and GIS at Meqebesa sub-catchment, Lake Hawassa watershed, Ethiopia

Discover Sustainability
Gully erosion is a series environmental problem affecting the society. Investigating gully formation factors in a rapidly changing erosion prone are is crucial.
Ayele Getachew Tasew, Mulugeta Dadi Belete, Tewodros Assefa Nigussie, Tesfalem Abraham   +3 more
doaj   +1 more source

Evolution Of Vegetation, Relief And Geology In Central Poland Under Anthropopressure [PDF]

, 2014
Published in: Origin of Relief of Central Poland and Its Anthropogenic Transformation in Łódź University Geographical Research, edited by. E.Kobojek, T.MarszałThe review of the localities with biogenic, slope, fluvial and aeolian deposits in which the ...
Forysiak, Jacek, Kittel, Piotr, Twardy, Juliusz   +2 more
core  

Machine Learning-Based Gully Erosion Susceptibility Mapping: A Case Study of Eastern India. [PDF]

Sensors (Basel), 2020
Saha S, Roy J, Arabameri A, Blaschke T, Tien Bui D.   +4 more
europepmc   +1 more source

Shallow landsliding and catchment connectivity within the Houpoto Forest, New Zealand. [PDF]

, 2013
Active landslides and their contribution to catchment connectivity have been investigated within the Houpoto Forest, North Island, New Zealand. The aim was to quantify the proportion of buffered versus coupled landslides and explore how specific physical
Fuller, Ian C, McCabe, Michelle, McColl, Sam T   +2 more
core  

Revegetation Changes Main Erosion Type on the Gully–Slope on the Chinese Loess Plateau Under Extreme Rainfall: Reducing Gully Erosion and Promoting Shallow Landslides

Water Resources Research
Extreme rainfall events pose a severe challenge to soil and water conservation, even in areas with high vegetation cover on the Loess Plateau. In this study, the artificial extreme rainfalls with cumulative rainfall of 270 mm and intensity of 60 mm · hr ...
Yangguang Xu, Li Luo, Wenzhao Guo, Zhao Jin, Pei Tian, Wenglong Wang   +5 more
doaj   +1 more source

Evaluation of Recent Advanced Soft Computing Techniques for Gully Erosion Susceptibility Mapping: A Comparative Study. [PDF]

Sensors (Basel), 2020
Arabameri A, Blaschke T, Pradhan B, Pourghasemi HR, Tiefenbacher JP, Bui DT.   +5 more
europepmc   +1 more source

Novel Ensemble Approach of Deep Learning Neural Network (DLNN) Model and Particle Swarm Optimization (PSO) Algorithm for Prediction of Gully Erosion Susceptibility. [PDF]

Sensors (Basel), 2020
Band SS, Janizadeh S, Chandra Pal S, Saha A, Chakrabortty R, Shokri M, Mosavi A.   +6 more
europepmc   +1 more source

Erosion Gully Networks Extraction Based on InSAR Refined Digital Elevation Model and Relative Elevation Algorithm—A Case Study in Huangfuchuan Basin, Northern Loess Plateau, China

Remote Sensing
The time-effective mapping of erosion gullies is crucial for monitoring and early detection of developing erosional progression. However, current methods face challenges in obtaining large-scale erosion gully networks rapidly due to limitations in data ...
Pingda Lu, Bin Zhang, Chenfeng Wang, Mengyun Liu, Xiaoping Wang   +4 more
doaj   +1 more source