23.2.13.1 Gully, Erosion, Rivers

Chapter Contents (Back)
Erosion. Gully.
See also DEM, Surface Analysis for Ridges and Streams, Rivers, Drainage, Depressions.

d'Oleire-Oltmanns, S.[Sebastian], Marzolff, I.[Irene], Tiede, D.[Dirk], Blaschke, T.[Thomas],
Detection of Gully-Affected Areas by Applying Object-Based Image Analysis (OBIA) in the Region of Taroudannt, Morocco,
RS(6), No. 9, 2014, pp. 8287-8309.
DOI Link 1410
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Kaiser, A.[Andreas], Neugirg, F.[Fabian], Rock, G.[Gilles], Müller, C.[Christoph], Haas, F.[Florian], Ries, J.[Johannes], Schmidt, J.[Jürgen],
Small-Scale Surface Reconstruction and Volume Calculation of Soil Erosion in Complex Moroccan Gully Morphology Using Structure from Motion,
RS(6), No. 8, 2014, pp. 7050-7080.
DOI Link 1410
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Wang, R.H.[Rang-Hu], Zhang, S.W.[Shu-Wen], Pu, L.M.[Luo-Man], Yang, J.C.[Jiu-Chun], Yang, C.B.[Chao-Bin], Chen, J.[Jing], Guan, C.[Cong], Wang, Q.[Qing], Chen, D.[Dan], Fu, B.[Bolin], Sang, X.J.[Xue-Jia],
Gully Erosion Mapping and Monitoring at Multiple Scales Based on Multi-Source Remote Sensing Data of the Sancha River Catchment, Northeast China,
IJGI(5), No. 11, 2016, pp. 200.
DOI Link 1612
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Liu, K.[Kai], Ding, H.[Hu], Tang, G.[Guoan], Na, J.M.[Jia-Ming], Huang, X.L.[Xiao-Li], Xue, Z.G.[Zheng-Guang], Yang, X.[Xin], Li, F.Y.[Fa-Yuan],
Detection of Catchment-Scale Gully-Affected Areas Using Unmanned Aerial Vehicle (UAV) on the Chinese Loess Plateau,
IJGI(5), No. 12, 2016, pp. 238.
DOI Link 1612
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Orti, M.V.[Miguel Vallejo], Negussie, K.[Kaleb], Corral-Pazos-de-Provens, E.[Eva], Höfle, B.[Bernhard], Bubenzer, O.[Olaf],
Comparison of Three Algorithms for the Evaluation of TanDEM-X Data for Gully Detection in Krumhuk Farm (Namibia),
RS(11), No. 11, 2019, pp. xx-yy.
DOI Link 1906
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Arabameri, A.[Alireza], Cerda, A.[Artemi], Rodrigo-Comino, J.[Jesús], Pradhan, B.[Biswajeet], Sohrabi, M.[Masoud], Blaschke, T.[Thomas], Bui, D.T.[Dieu Tien],
Proposing a Novel Predictive Technique for Gully Erosion Susceptibility Mapping in Arid and Semi-arid Regions (Iran),
RS(11), No. 21, 2019, pp. xx-yy.
DOI Link 1911
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Arabameri, A.[Alireza], Chen, W.[Wei], Lombardo, L.[Luigi], Blaschke, T.[Thomas], Bui, D.T.[Dieu Tien],
Hybrid Computational Intelligence Models for Improvement Gully Erosion Assessment,
RS(12), No. 1, 2020, pp. xx-yy.
DOI Link 2001
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Cao, J.J.[Jian-Jun], Tang, G.[Guoan], Fang, X.[Xuan], Liu, Y.J.[Yong-Juan], Zhu, Y.[Ying], Li, J.L.[Jin-Lian], Wagner, W.[Wolfgang],
Identification of Active Gully Erosion Sites in the Loess Plateau of China Using MF-DFA,
RS(12), No. 3, 2020, pp. xx-yy.
DOI Link 2002
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Ding, H.[Hu], Liu, K.[Kai], Chen, X.Z.[Xiao-Zheng], Xiong, L.Y.[Li-Yang], Tang, G.[Guoan], Qiu, F.[Fang], Strobl, J.[Josef],
Optimized Segmentation Based on the Weighted Aggregation Method for Loess Bank Gully Mapping,
RS(12), No. 5, 2020, pp. xx-yy.
DOI Link 2003
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Arabameri, A.[Alireza], Nalivan, O.A.[Omid Asadi], Saha, S.I.[Sun-Il], Roy, J.[Jagabandhu], Pradhan, B.[Biswajeet], Tiefenbacher, J.P.[John P.], Ngo, P.T.T.[Phuong Thao Thi],
Novel Ensemble Approaches of Machine Learning Techniques in Modeling the Gully Erosion Susceptibility,
RS(12), No. 11, 2020, pp. xx-yy.
DOI Link 2006
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Arabameri, A.[Alireza], Nalivan, O.A.[Omid Asadi], Pal, S.C.[Subodh Chandra], Chakrabortty, R.[Rabin], Saha, A.[Asish], Lee, S.[Saro], Pradhan, B.[Biswajeet], Bui, D.T.[Dieu Tien],
Novel Machine Learning Approaches for Modelling the Gully Erosion Susceptibility,
RS(12), No. 17, 2020, pp. xx-yy.
DOI Link 2009
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Pal, S.C.[Subodh Chandra], Arabameri, A.[Alireza], Blaschke, T.[Thomas], Chowdhuri, I.[Indrajit], Saha, A.[Asish], Chakrabortty, R.[Rabin], Lee, S.[Saro], Band, S.S.[Shahab. S.],
Ensemble of Machine-Learning Methods for Predicting Gully Erosion Susceptibility,
RS(12), No. 22, 2020, pp. xx-yy.
DOI Link 2011
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Lei, X.X.[Xin-Xiang], Chen, W.[Wei], Avand, M.[Mohammadtaghi], Janizadeh, S.[Saeid], Kariminejad, N.[Narges], Shahabi, H.[Hejar], Costache, R.[Romulus], Shahabi, H.[Himan], Shirzadi, A.[Ataollah], Mosavi, A.[Amir],
GIS-Based Machine Learning Algorithms for Gully Erosion Susceptibility Mapping in a Semi-Arid Region of Iran,
RS(12), No. 15, 2020, pp. xx-yy.
DOI Link 2008
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Roy, P.[Paramita], Pal, S.C.[Subodh Chandra], Arabameri, A.[Alireza], Chakrabortty, R.[Rabin], Pradhan, B.[Biswajeet], Chowdhuri, I.[Indrajit], Lee, S.[Saro], Bui, D.T.[Dieu Tien],
Novel Ensemble of Multivariate Adaptive Regression Spline with Spatial Logistic Regression and Boosted Regression Tree for Gully Erosion Susceptibility,
RS(12), No. 20, 2020, pp. xx-yy.
DOI Link 2010
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Chowdhuri, I.[Indrajit], Pal, S.C.[Subodh Chandra], Arabameri, A.[Alireza], Saha, A.[Asish], Chakrabortty, R.[Rabin], Blaschke, T.[Thomas], Pradhan, B.[Biswajeet], Band, S.S.[Shahab. S.],
Implementation of Artificial Intelligence Based Ensemble Models for Gully Erosion Susceptibility Assessment,
RS(12), No. 21, 2020, pp. xx-yy.
DOI Link 2011
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Gafurov, A.M.[Artur M.], Yermolayev, O.P.[Oleg P.],
Automatic Gully Detection: Neural Networks and Computer Vision,
RS(12), No. 11, 2020, pp. xx-yy.
DOI Link 2006
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Phinzi, K.[Kwanele], Abriha, D.[Dávid], Szabó, S.[Szilárd],
Classification Efficacy Using K-Fold Cross-Validation and Bootstrapping Resampling Techniques on the Example of Mapping Complex Gully Systems,
RS(13), No. 15, 2021, pp. xx-yy.
DOI Link 2108
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Šiljeg, A.[Ante], Domazetovic, F.[Fran], Maric, I.[Ivan], Loncar, N.[Nina], Panda, L.[Lovre],
New Method for Automated Quantification of Vertical Spatio-Temporal Changes within Gully Cross-Sections Based on Very-High-Resolution Models,
RS(13), No. 2, 2021, pp. xx-yy.
DOI Link 2101
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Jiang, C.C.[Cheng-Cheng], Fan, W.[Wen], Yu, N.[Ningyu], Nan, Y.L.[Ya-Lin],
A New Method to Predict Gully Head Erosion in the Loess Plateau of China Based on SBAS-InSAR,
RS(13), No. 3, 2021, pp. xx-yy.
DOI Link 2102
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Busch, R.[Robert], Hardt, J.[Jacob], Nir, N.[Nadav], Schütt, B.[Brigitta],
Modeling Gully Erosion Susceptibility to Evaluate Human Impact on a Local Landscape System in Tigray, Ethiopia,
RS(13), No. 10, 2021, pp. xx-yy.
DOI Link 2105
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Yang, D.[Dan], Mu, K.[Kai], Yang, H.[Hui], Luo, M.L.[Ming-Liang], Lv, W.[Wei], Zhang, B.[Bin], Liu, H.[Hui], Wang, Z.C.[Zhi-Cheng],
A Study on Prediction Model of Gully Volume Based on Morphological Features in the JINSHA Dry-Hot Valley Region of Southwest China,
IJGI(10), No. 5, 2021, pp. xx-yy.
DOI Link 2106
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Wang, B.W.[Bi-Wei], Zhang, Z.X.[Zeng-Xiang], Wang, X.[Xiao], Zhao, X.L.[Xiao-Li], Yi, L.[Ling], Hu, S.G.[Shun-Guang],
The Suitability of Remote Sensing Images at Different Resolutions for Mapping of Gullies in the Black Soil Region, Northeast China,
RS(13), No. 12, 2021, pp. xx-yy.
DOI Link 2106
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Kinsey-Henderson, A.[Anne], Hawdon, A.[Aaron], Bartley, R.[Rebecca], Wilkinson, S.N.[Scott N.], Lowe, T.[Thomas],
Applying a Hand-Held Laser Scanner to Monitoring Gully Erosion: Workflow and Evaluation,
RS(13), No. 19, 2021, pp. xx-yy.
DOI Link 2110
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Yang, A.[Annan], Wang, C.M.[Chun-Mei], Pang, G.[Guowei], Long, Y.Q.[Yong-Qing], Wang, L.[Lei], Cruse, R.M.[Richard M.], Yang, Q.[Qinke],
Gully Erosion Susceptibility Mapping in Highly Complex Terrain Using Machine Learning Models,
IJGI(10), No. 10, 2021, pp. xx-yy.
DOI Link 2110
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Yang, A.[Annan], Wang, C.M.[Chun-Mei], Yang, Q.[Qinke], Pang, G.W.[Guo-Wei], Long, Y.Q.[Yong-Qing], Wang, L.[Lei], Yang, L.J.[Li-Juan], Cruse, R.M.[Richard M.],
Choosing the Right Horizontal Resolution for Gully Erosion Susceptibility Mapping Using Machine Learning Algorithms: A Case in Highly Complex Terrain,
RS(14), No. 11, 2022, pp. xx-yy.
DOI Link 2206
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Wang, J.X.[Jia-Xi], Zhang, Y.[Yan], Deng, J.Y.[Jia-Yong], Yu, S.W.[Shuang-Wu], Zhao, Y.Y.[Yi-Yang],
Long-Term Gully Erosion and Its Response to Human Intervention in the Tableland Region of the Chinese Loess Plateau,
RS(13), No. 24, 2021, pp. xx-yy.
DOI Link 2112
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Bernini, A.[Alice], Bosino, A.[Alberto], Botha, G.A.[Greg A.], Maerker, M.[Michael],
Evaluation of Gully Erosion Susceptibility Using a Maximum Entropy Model in the Upper Mkhomazi River Basin in South Africa,
IJGI(10), No. 11, 2021, pp. xx-yy.
DOI Link 2112
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Wang, R.H.[Rang-Hu], Sun, H.[Huan], Yang, J.C.[Jiu-Chun], Zhang, S.W.[Shu-Wen], Fu, H.P.[Han-Pei], Wang, N.[Nan], Liu, Q.Y.[Qian-Yu],
Quantitative Evaluation of Gully Erosion Using Multitemporal UAV Data in the Southern Black Soil Region of Northeast China: A Case Study,
RS(14), No. 6, 2022, pp. xx-yy.
DOI Link 2204
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Hitouri, S.[Sliman], Varasano, A.[Antonietta], Mohajane, M.[Meriame], Ijlil, S.[Safae], Essahlaoui, N.[Narjisse], Ali, S.A.[Sk Ajim], Essahlaoui, A.[Ali], Pham, Q.B.[Quoc Bao], Waleed, M.[Mirza], Palateerdham, S.K.[Sasi Kiran], Teodoro, A.C.[Ana Cláudia],
Hybrid Machine Learning Approach for Gully Erosion Mapping Susceptibility at a Watershed Scale,
IJGI(11), No. 7, 2022, pp. xx-yy.
DOI Link 2208
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Wang, Z.G.[Zi-Guan], Zhang, G.H.[Guang-Hui], Wang, C.S.[Cheng-Shu], Xing, S.[Shukun],
Gully Morphological Characteristics and Topographic Threshold Determined by UAV in a Small Watershed on the Loess Plateau,
RS(14), No. 15, 2022, pp. xx-yy.
DOI Link 2208
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Zhao, C.H.[Chun-Hui], Shen, Y.[Yi], Su, N.[Nan], Yan, Y.M.[Yi-Ming], Liu, Y.[Yong],
Gully Erosion Monitoring Based on Semi-Supervised Semantic Segmentation with Boundary-Guided Pseudo-Label Generation Strategy and Adaptive Loss Function,
RS(14), No. 20, 2022, pp. xx-yy.
DOI Link 2211
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Domazetovic, F.[Fran], Šiljeg, A.[Ante], Maric, I.[Ivan], Panda, L.[Lovre],
A New Systematic Framework for Optimization of Multi-Temporal Terrestrial LiDAR Surveys over Complex Gully Morphology,
RS(14), No. 14, 2022, pp. xx-yy.
DOI Link 2208
BibRef

Zhang, G.[Guanghe], Zhao, W.J.[Wei-Jun], Yan, T.T.[Ting-Ting], Qin, W.[Wei], Miao, X.J.[Xiao-Jing],
Estimation of Gully Growth Rate and Erosion Amount Using UAV and Worldview-3 Images in Yimeng Mountain Area, China,
RS(15), No. 1, 2023, pp. xx-yy.
DOI Link 2301
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Zhang, C.M.[Chun-Mei], Wang, C.M.[Chun-Mei], Long, Y.Q.[Yong-Qing], Pang, G.[Guowei], Shen, H.Z.[Hua-Zhen], Wang, L.[Lei], Yang, Q.[Qinke],
Comparative Analysis of Gully Morphology Extraction Suitability Using Unmanned Aerial Vehicle and Google Earth Imagery,
RS(15), No. 17, 2023, pp. 4302.
DOI Link 2310
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Lu, P.[Pingda], Zhang, B.[Bin], Wang, C.F.[Chen-Feng], Liu, M.Y.[Meng-Yun], Wang, X.P.[Xiao-Ping],
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,
RS(16), No. 5, 2024, pp. 921.
DOI Link 2403
BibRef

Yan, T.T.[Ting-Ting], Zhao, W.J.[Wei-Jun], Xu, F.[Fujin], Shi, S.X.[Sheng-Xiang], Qin, W.[Wei], Zhang, G.[Guanghe], Fang, N.N.[Ning-Ning],
Is It Reliable to Extract Gully Morphology Parameters Based on High-Resolution Stereo Images? A Case of Gully in a 'Soil-Rock Dual Structure Area',
RS(16), No. 18, 2024, pp. 3500.
DOI Link 2410
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Dong, F.Y.[Fei-Yang], Jin, J.Z.[Ji-Zhong], Li, L.[Lei], Li, H.[Heyang], Zhang, Y.C.[Yu-Cheng],
A Multi-Scale Content-Structure Feature Extraction Network Applied to Gully Extraction,
RS(16), No. 19, 2024, pp. 3562.
DOI Link 2410
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Feng, G.Q.[Guo-Qiang], Leng, L.[Liang], Ye, Y.H.[Ying-Hui], Han, D.L.[Dong-Liang],
Analyzing Gully Planform Changes in GIS Based on Multi-level Topological Relations,
ICIVC20(292-295)
IEEE DOI 2009
Cognition, Rivers, Surface morphology, Erbium, Geospatial analysis, Spatial databases, gully, planform changes, GIS, topological relations BibRef

Xu, X., Tang, Q.,
Lidar and Photogrammetry Approaches for Monitoring Land Surface Morphology in Ephemeral Gully System,
SMPR19(1065-1069).
DOI Link 1912
BibRef

Gündogan, R., Alma, V., Dindaroglu, T., Günal, H., Yakupoglu, T., Susam, T., Saltali, K.,
Monitoring And Estimation of Soil Losses From Ephemeral Gully Erosion In Mediterranean Region Using Low Altitude Unmanned Aerial Vehicles,
GeoAdvances17(59-61).
DOI Link 1805
BibRef

Chapter on Remote Sensing General Issue, Land Use, Land Cover continues in
Evapotranspiration, Evaporation, Remote Sensing .


Last update:Jan 20, 2025 at 11:36:25