Institutional Repository of Key Laboratory of Coastal Zone Environmental Processes, Yantai Institute of Coastal Zone Research, Chinese Academy of Sciences (KLCEP)
| Estimating soil salinity in different landscapes of the Yellow River Delta through Landsat OLI/TIRS and ETM plus Data | |
Meng, L; Zhou, SW; Zhang, H ; Bi, XL; Bi, XL (reprint author), Chinese Acad Sci, Yantai Inst Coastal Zone Res, Key Lab Coastal Environm Proc & Ecol Remediat, Yantai 264003, Peoples R China. [email protected]
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| 发表期刊 | JOURNAL OF COASTAL CONSERVATION
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| ISSN | 1400-0350 |
| 2016-08-01 | |
| 卷号 | 20期号:4页码:271-279 |
| 关键词 | Soil Salinity Electrical Conductivity Landsat Oli/tirs Landsat Etm The Yellow River Delta |
| DOI | 10.1007/s11852-016-0437-9 |
| 产权排序 | [Meng, Ling] Chinese Acad Sci, Inst Soil Sci, State Key Lab Soil & Sustainable Agr, Nanjing 210008, Peoples R China; [Meng, Ling] Ocean Univ China, Key Lab Marine Environm & Ecol, Minist Educ China, Qingdao 266100, Peoples R China; [Zhou, Shiwei] Chinese Acad Agr Sci, Inst Agr Resources & Reg Planning, Beijing 100081, Peoples R China; [Zhang, Hua; Bi, Xiaoli] Chinese Acad Sci, Yantai Inst Coastal Zone Res, Key Lab Coastal Environm Proc & Ecol Remediat, Yantai 264003, Peoples R China |
| 作者部门 | 海岸带信息集成与综合管理实验室 |
| 英文摘要 | Soil salinization has increasingly become a serious issue in coastal zone due to global climate changes and human disturbances. Assessment of soil salinity, especially at the landscape scale, is critical to coastal management and restoration. Two data from OLI/TIRS and ETM+ sensors of Landsat satellite were used to compare their ability to invert the spatial pattern of soil salinity in both farmland and salt marsh landscapes in the Yellow River Delta, China, respectively. The results showed that the in situ electrical conductivity (EC (a) ) of soil, representing soil salinity, were closely related with spectral parameters and salinity indices calculated by the remote sensing data. The results of multiple regression models have showed that nearly all the spectral parameters and salinity indices calculated by OLI/TRIS data were more sensitive to soil salinity than those by ETM+ data. Therefore, the models based on OLI/TIRS data are superior to those on ETM+ data in estimating the spatial pattern of soil salinity in farmland and salt marsh landscapes. Our results were very helpful to evaluate the levels of soil salinization in the Yellow River Delta. |
| 文章类型 | Article |
| 资助机构 | State Key Laboratory of Soil and Sustainable Agriculture, Institute of Soil Science, Chinese Academy of Sciences(KZZD-EW-14) |
| 收录类别 | SCI |
| 语种 | 英语 |
| 关键词[WOS] | SALT CONTENT ; CHINA ; REFLECTANCE ; SALINIZATION ; DEGRADATION ; SATELLITE ; IMAGE ; REGION ; EGYPT ; OASIS |
| 研究领域[WOS] | Biodiversity & Conservation ; Environmental Sciences & Ecology ; Marine & Freshwater Biology ; Water Resources |
| WOS记录号 | WOS:000379584400001 |
| 引用统计 | |
| 文献类型 | 期刊论文 |
| 条目标识符 | http://ir.yic.ac.cn/handle/133337/17107 |
| 专题 | 中国科学院海岸带环境过程与生态修复重点实验室 中国科学院海岸带环境过程与生态修复重点实验室_污染过程与控制实验室 |
| 通讯作者 | Bi, XL (reprint author), Chinese Acad Sci, Yantai Inst Coastal Zone Res, Key Lab Coastal Environm Proc & Ecol Remediat, Yantai 264003, Peoples R China. [email protected] |
| 作者单位 | 1.Chinese Acad Sci, Inst Soil Sci, State Key Lab Soil & Sustainable Agr 2.Ocean Univ China, Key Lab Marine Environm & Ecol, Minist Educ China 3.Chinese Acad Agr Sci, Inst Agr Resources & Reg Planning 4.Chinese Acad Sci, Yantai Inst Coastal Zone Res, Key Lab Coastal Environm Proc & Ecol Remediat |
| 推荐引用方式 GB/T 7714 | Meng, L,Zhou, SW,Zhang, H,et al. Estimating soil salinity in different landscapes of the Yellow River Delta through Landsat OLI/TIRS and ETM plus Data[J]. JOURNAL OF COASTAL CONSERVATION,2016,20(4):271-279. |
| APA | Meng, L,Zhou, SW,Zhang, H,Bi, XL,&Bi, XL .(2016).Estimating soil salinity in different landscapes of the Yellow River Delta through Landsat OLI/TIRS and ETM plus Data.JOURNAL OF COASTAL CONSERVATION,20(4),271-279. |
| MLA | Meng, L,et al."Estimating soil salinity in different landscapes of the Yellow River Delta through Landsat OLI/TIRS and ETM plus Data".JOURNAL OF COASTAL CONSERVATION 20.4(2016):271-279. |
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