Mapping karst rocky desertification using Landsat 8 images
文献类型：期刊论文
| 作者 | Li, Shuang1; Wu, Honggan1 |
| 刊名 | REMOTE SENSING LETTERS
 |
| 出版日期 | 2015 |
| 卷号 | 6期号:9页码:88-98 |
| 通讯作者 | Wu, HG (reprint author), Chinese Acad Forestry, Res Inst Forest Resources Informat Tech, Beijing, Peoples R China. |
| 英文摘要 | Karst rocky desertification (KRD) is a serious ecological problem in southwest China. Various remote sensing techniques are available for investigating KRD. Landsat 8 Operational Land Imager (OLI) data, acquired in September (summer) 2013 and January (winter) 2014, were used to analyse the role of vegetation fraction, bedrock exposure, and slope on KRD classification. Then, the decision tree and fuzzy maximum likelihood methods were compared, using the above-mentioned factors, to verify the potential of Landsat 8 OLI data in monitoring KRD. The results show that these factors correlate well with the degree of KRD and that the addition of these factors into the classifier improved accuracy from 84.23% to 91.71%. Thus, Landsat 8 OLI data can be adapted for the monitoring of KRD, which will be useful for the 2015 Third National Desertification Survey. |
| 研究领域[WOS] | Remote Sensing ; Imaging Science & Photographic Technology |
| 收录类别 | SCI ; EI |
| 语种 | 英语 |
| WOS记录号 | WOS:000359162700001 |
| 源URL | [http://ir.ceode.ac.cn/handle/183411/38111]  |
| 专题 | 遥感与数字地球研究所_SCI/EI期刊论文_期刊论文 |
| 作者单位 | 1.[Li, Shuang] Chinese Acad Sci, Inst Remote Sensing & Digital Earth, Beijing, Peoples R China 2.[Wu, Honggan] Chinese Acad Forestry, Res Inst Forest Resources Informat Tech, Beijing, Peoples R China |
| 推荐引用方式 GB/T 7714 | Li, Shuang,Wu, Honggan. Mapping karst rocky desertification using Landsat 8 images[J]. REMOTE SENSING LETTERS,2015,6(9):88-98. |
| APA | Li, Shuang,&Wu, Honggan.(2015).Mapping karst rocky desertification using Landsat 8 images.REMOTE SENSING LETTERS,6(9),88-98. |
| MLA | Li, Shuang,et al."Mapping karst rocky desertification using Landsat 8 images".REMOTE SENSING LETTERS 6.9(2015):88-98. |
入库方式： OAI收割
来源：遥感与数字地球研究所
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