Detection of Hydromorphologic Characteristics of Indus River Estuary, Pakistan, Using Satellite and Field Data
文献类型：期刊论文
| 作者 | Ijaz, Muhammad Wajid1,2; Siyal, Altaf Ali1,3; Mahar, Rasool Bux1; Ahmed, Waqas1; Anjum, Muhammad Naveed4 |
| 刊名 | ARABIAN JOURNAL FOR SCIENCE AND ENGINEERING
 |
| 出版日期 | 2017-06-01 |
| 卷号 | 42期号:6页码:2539-2558 |
| ISSN号 | 2193-567X |
| 关键词 | Water bodies Classification River Indus Density slicing |
| DOI | 10.1007/s13369-017-2528-9 |
| 通讯作者 | Ijaz, Muhammad Wajid(wajidijaz331@gmail.com) |
| 英文摘要 | Natural and anthropogenic factors directly determine the hydromorphologic and ecologic equilibrium of riverine environment. The present study was designed to detect the hydromorphologic characteristics of Indus River Estuary (IRE) using medium and high spatial resolution multispectral satellite imagery along with field data. Qualitative (visual) and quantitative (analytical) analysis was undertaken, and accuracy of each method as well as remotely sensed data was assessed. Single-band density slicing method was used for water bodies, while multiband supervised and unsupervised classification methods were adopted for the identification of hydromorphologic habitat along with key ecologic features of the IRE. The analysis of satellite imagery showed that the shortwave infrared-2 (band 7) of Landsat-8 Operational Land Imager (OLI) sensor performed better than its visible bands for delineating water bodies. The overall classification accuracy was 89%. Supervised classification with the maximum likelihood algorithm performed better for OLI imagery (30 m) than high spatial resolution RapidEye (5 m) imagery. However, unsupervised classification method was not suitable due to the significant overlapping of inter- and intra-class pixels. Overall, due to its adequate spectral range Landsat OLI imagery was utilized for monitoring of terrestrial water bodies and their morphologic features. Thus, we recommend that selecting the spatial resolution of the imagery should be based on the size of the objects to be recognized. |
| 收录类别 | SCI |
| WOS关键词 | REMOTE-SENSING TECHNIQUES ; LANDSAT TM DATA ; MANGROVE FORESTS ; WATER ; CLASSIFICATION ; VEGETATION ; IMAGERY ; RESOLUTIONS ; SCOTLAND |
| WOS研究方向 | Science & Technology - Other Topics |
| WOS类目 | Multidisciplinary Sciences |
| 语种 | 英语 |
| 出版者 | SPRINGER HEIDELBERG |
| WOS记录号 | WOS:000402081500033 |
| URI标识 | http://www.irgrid.ac.cn/handle/1471x/2557745 |
| 专题 | 寒区旱区环境与工程研究所 |
| 通讯作者 | Ijaz, Muhammad Wajid |
| 作者单位 | 1.Mehran Univ Engn & Technol, US Pakistan Ctr Adv Studies Water, Jamshoro 76062, Sindh, Pakistan 2.Environm Protect Agcy, Lahore 54000, Punjab, Pakistan 3.Sindh Agr Univ, Dept Land & Water Management, Tandojam 70060, Sindh, Pakistan 4.Chinese Acad Sci, Div Hydrol Water Land Resources Cold & Arid Reg, Cold & Arid Reg Environm & Engn Res Inst, Lanzhou 730000, Peoples R China |
| 推荐引用方式 GB/T 7714 | Ijaz, Muhammad Wajid,Siyal, Altaf Ali,Mahar, Rasool Bux,et al. Detection of Hydromorphologic Characteristics of Indus River Estuary, Pakistan, Using Satellite and Field Data[J]. ARABIAN JOURNAL FOR SCIENCE AND ENGINEERING,2017,42(6):2539-2558. |
| APA | Ijaz, Muhammad Wajid,Siyal, Altaf Ali,Mahar, Rasool Bux,Ahmed, Waqas,&Anjum, Muhammad Naveed.(2017).Detection of Hydromorphologic Characteristics of Indus River Estuary, Pakistan, Using Satellite and Field Data.ARABIAN JOURNAL FOR SCIENCE AND ENGINEERING,42(6),2539-2558. |
| MLA | Ijaz, Muhammad Wajid,et al."Detection of Hydromorphologic Characteristics of Indus River Estuary, Pakistan, Using Satellite and Field Data".ARABIAN JOURNAL FOR SCIENCE AND ENGINEERING 42.6(2017):2539-2558. |
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来源：寒区旱区环境与工程研究所
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