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The Scientific World Journal
Volume 2014 (2014), Article ID 417325, 11 pages
http://dx.doi.org/10.1155/2014/417325
Research Article

A Quantitative Study of Gully Erosion Based on Object-Oriented Analysis Techniques: A Case Study in Beiyanzikou Catchment of Qixia, Shandong, China

1College of Geography and Planning, Ludong University, Yantai 264025, China
2Shandong Provincial Key Laboratory of Soil Conservation and Environmental Protection, Linyi 276000, China
3Institute of Systems Science and Mathematics, NAAU, Yantai 264001, China
4School of Geodesy and Geomatics, Wuhan University, Wuhan 430072, China
5State Key Laboratory of Earth Surface Processes and Resource Ecology, Beijing Normal University, Beijing 100875, China
6Key Laboratory of Coastal Biology & Bioresources Utilization, Yantai Institute of Coastal Zone Research, Chinese Academy of Sciences (CAS), Yantai 264003, China
7Institute of Life Sciences, Qingdao University of Sciences & Technology (QUST), Qingdao 266042, China

Received 18 August 2013; Accepted 14 November 2013; Published 29 January 2014

Academic Editors: C. García and N. Moritsuka

Copyright © 2014 Tao Wang et al. This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.

Citations to this Article [9 citations]

The following is the list of published articles that have cited the current article.

  • Andrea Tedesco, Alzir Felippe Buffara Antunes, and Luiz Octavio Oliani, “Gully erosion detection by hierarchical classification and tree decision,” Boletim De Ciencias Geodesicas, vol. 20, no. 4, pp. 1005–1026, 2014. View at Publisher · View at Google Scholar
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  • Gómez, and Castillo, “A century of gully erosion research: Urgency, complexity and study approaches,” Earth-Science Reviews, vol. 160, pp. 300–319, 2016. View at Publisher · View at Google Scholar
  • Ranghu Wang, Shuwen Zhang, Jiuchun Yang, Luoman Pu, Chaobin Yang, Lingxue Yu, Liping Chang, and Kun Bu, “Integrated Use of GCM, RS, and GIS for the Assessment of Hillslope and Gully Erosion in the Mushi River Sub-Catchment, Northeast China,” Sustainability, vol. 8, no. 4, pp. 317, 2016. View at Publisher · View at Google Scholar
  • Kai Liu, Hu Ding, Guoan Tang, Jiaming Na, Xiaoli Huang, Zhengguang Xue, Xin Yang, and Fayuan Li, “Detection of Catchment-Scale Gully-Affected Areas Using Unmanned Aerial Vehicle (UAV) on the Chinese Loess Plateau,” ISPRS International Journal of Geo-Information, vol. 5, no. 12, pp. 238, 2016. View at Publisher · View at Google Scholar
  • Ranghu Wang, Bolin Fu, Xuejia Sang, Chaobin Yang, Qing Wang, Shuwen Zhang, Luoman Pu, Jiuchun Yang, Jing Chen, Cong Guan, and Dan Chen, “Gully erosion mapping and monitoring at multiple scales based on multi-source remote sensing data of the sancha river catchment, Northeast China,” ISPRS International Journal of Geo-Information, vol. 5, no. 11, 2016. View at Publisher · View at Google Scholar
  • Markéta Bácová, and Josef Krása, “Application of historical and recent aerial imagery in monitoring water erosion occurrences in Czech highlands,” Soil and Water Research, vol. 11, no. 4, pp. 267–276, 2016. View at Publisher · View at Google Scholar
  • Hu Ding, Guoan Tang, A-Xing Zhu, Xin Yang, Sheng Jiang, Kai Liu, and Jianjun Cao, “An object-based approach for two-level gully feature mapping using high-resolution DEM and imagery: a case study on hilly loess plateau region, China,” Chinese Geographical Science, vol. 27, no. 3, pp. 415–430, 2017. View at Publisher · View at Google Scholar