IMHE OpenIR  > Journal of Mountain Science  > Journal of Mountain Science-2017  > Vol14 No.10
Watershed classification by remote sensing indices: A fuzzy c-means clustering approach
Bahram CHOUBIN; Karim SOLAIMANI; Mahmoud HABIBNEJAD ROSHAN; Arash MALEKIAN
Corresponding AuthorBahram CHOUBIN
2017-10
Source PublicationJournal of Mountain Science
ISSN1672-6316
Volume14Issue:10Pages:2053-2063
Subtype期刊论文
AbstractDetermining the relatively similar hydrological properties of the watersheds is very crucial in order to readily classify them for management practices such as flood and soil erosion control. This study aimed to identify homogeneous hydrological watersheds using remote sensing data in western Iran. To achieve this goal, remote sensing indices including SAVI, LAI, NDMI, NDVI and snow cover,were extracted from MODIS data over the period 2000 to 2015. Then, a fuzzy method was used to clustering the watersheds based on the extracted indices. A fuzzy c-mean (FCM) algorithm enabled to classify 38 watersheds in three homogeneous groups. The optimal number of clusters was determined through evaluation of partition coefficient, partition entropy function and trial and error. The results indicated three homogeneous regions identified by the fuzzy c-mean clustering and remote sensing product which are consistent with the variations of topography and climate of the study area. Inherently, the grouped watersheds have similar hydrological properties and are likely to need similar management considerations and measures.
KeywordKarkheh Watershed Fuzzy C-meansclustering Watershed Classification Homogeneous Sub-watersheds
DOIhttps://doi.org/s11629-017-4357-4
Indexed BySCI
Language英语
Citation statistics
Document Type期刊论文
Identifierhttp://ir.imde.ac.cn/handle/131551/19098
CollectionJournal of Mountain Science_Journal of Mountain Science-2017_Vol14 No.10
Recommended Citation
GB/T 7714
Bahram CHOUBIN,Karim SOLAIMANI,Mahmoud HABIBNEJAD ROSHAN,et al. Watershed classification by remote sensing indices: A fuzzy c-means clustering approach[J]. Journal of Mountain Science,2017,14(10):2053-2063.
APA Bahram CHOUBIN,Karim SOLAIMANI,Mahmoud HABIBNEJAD ROSHAN,&Arash MALEKIAN.(2017).Watershed classification by remote sensing indices: A fuzzy c-means clustering approach.Journal of Mountain Science,14(10),2053-2063.
MLA Bahram CHOUBIN,et al."Watershed classification by remote sensing indices: A fuzzy c-means clustering approach".Journal of Mountain Science 14.10(2017):2053-2063.
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