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Gully Erosion Mapping Using Object-Based and Pixel-Based Image Classification Methods

2015; Geological Society of America; Volume: 21; Issue: 2 Linguagem: Inglês

10.2113/gseegeosci.21.2.101

1558-9161

AZHDAR KARAMI, Asadollah Khoorani, A. NOOHEGAR, Sayed Rashid Fallah Shamsi, Vahid Moosavi,

Hydrology and Sediment Transport Processes

Research Article| May 01, 2015 Gully Erosion Mapping Using Object-Based and Pixel-Based Image Classification Methods AYOOB KARAMI; AYOOB KARAMI Faculty of Natural Resources, Hormozgan University, Minab Road, Bandar Bbbas, Hormozgan Province, P.O. Box 3995, Iran Search for other works by this author on: GSW Google Scholar ASADOLLAH KHOORANI; ASADOLLAH KHOORANI 1 Faculty of Natural Resources, Hormozgan University, Minab Road, Bandar Bbbas, Hormozgan Province, P.O. Box 3995, Iran 1Corresponding author email: khoorani@hormozgan.ac.ir. Search for other works by this author on: GSW Google Scholar AHMAD NOOHEGAR; AHMAD NOOHEGAR Faculty of Natural Resources, Tehran University, Karaj, Iran Search for other works by this author on: GSW Google Scholar SEYED RASHID FALLAH SHAMSI; SEYED RASHID FALLAH SHAMSI College of Agriculture, Shiraz University, Shiraz Province, P.O. Box 71454, Iran Search for other works by this author on: GSW Google Scholar VAHID MOOSAVI VAHID MOOSAVI Faculty of Natural Resources, Yazd University, Yzad Province, Iran Search for other works by this author on: GSW Google Scholar Environmental & Engineering Geoscience (2015) 21 (2): 101–110. https://doi.org/10.2113/gseegeosci.21.2.101 Article history first online: 02 Mar 2017 Cite View This Citation Add to Citation Manager Share Icon Share Facebook Twitter LinkedIn MailTo Tools Icon Tools Get Permissions Search Site Citation AYOOB KARAMI, ASADOLLAH KHOORANI, AHMAD NOOHEGAR, SEYED RASHID FALLAH SHAMSI, VAHID MOOSAVI; Gully Erosion Mapping Using Object-Based and Pixel-Based Image Classification Methods. Environmental & Engineering Geoscience 2015;; 21 (2): 101–110. doi: https://doi.org/10.2113/gseegeosci.21.2.101 Download citation file: Ris (Zotero) Refmanager EasyBib Bookends Mendeley Papers EndNote RefWorks BibTex toolbar search Search Dropdown Menu toolbar search search input Search input auto suggest filter your search All ContentBy SocietyEnvironmental & Engineering Geoscience Search Advanced Search Abstract Gully erosion mapping is a crucial step to monitor the erosion process and to study its current and future local impacts. Gully erosion mapping through field-work is difficult, time-consuming, and costly. This article compares various pixel-based image classification (PBC) algorithms, such as ISODATA, Maximum Likelihood Classification, and Support Vector Machine, with the object-based image analysis (OBIA) technique for gully erosion mapping on IRS-P6 images. Six models defined by classification types, classifiers, and feature spaces were built for comparison. The results show that OBIA classification performed better than PBC in terms of accuracy. We also found that the improvement of OBIA was primarily due to employing textural and shape features and optimized feature space, while the use of standard feature space did not improve OBIA. In addition, OBIA significantly reduced the salt-and-pepper effect that obscures the features on the output maps compared to the PBC maps (which had more salt-and-pepper effects). It seems that object-based techniques have yielded better results because of their focus on the shape of gully networks rather than on their spectral heterogeneity. In order to improve the accuracy, a priority may be gained by fully exploring the use of membership function and hierarchical approach with multi-scale segmentation for gully mapping. In future studies we propose to determine how these factors can affect the performance of OBIA in terms of gully mapping. This study provides information on the location of gullies, gully dynamics over a period of time, and the degree of land degradation (gully density) for developing and implementing soil conservation measures. You do not have access to this content, please speak to your institutional administrator if you feel you should have access.