A Simple Approach for Mapping Forest Cover from Time Series of Satellite Data
文献类型：期刊论文
| 作者 | Liu, Yang; Liu, Ronggao
|
| 刊名 | REMOTE SENSING
 |
| 出版日期 | 2020-09-01 |
| 卷号 | 12期号:18页码:13 |
| 关键词 | forest herbaceous vegetation seasonal curve classification optical remote sensing |
| DOI | 10.3390/rs12182918 |
| 通讯作者 | Liu, Ronggao(liurg@igsnrr.ac.cn) |
| 英文摘要 | Forest cover mapping based on multi-temporal satellite observations usually uses dozens of features as inputs, which requires huge training data and leads to many ill effects. In this paper, a simple but efficient approach was proposed to map forest cover from time series of satellite observations without using classifiers and training data. This method focuses on the key step of forest mapping, i.e., separation of forests from herbaceous vegetation, considering that the non-vegetated area can be easily identified by the annual maximum vegetation index. We found that the greenness of forests is generally stable during the maturity period, but a similar greenness plateau does not exist for herbaceous vegetation. It means that the mean greenness during the vegetation maturity period of forests should be larger than that of herbaceous vegetation, while its standard deviation should be smaller. A combination of these two features could identify forests with several thresholds. The proposed approach was demonstrated for mapping the extents of different forest types with MODIS observations. The results show that the overall accuracy ranges 91.92-95.34% and the Kappa coefficient is 0.84-0.91 when compared with the reference datasets generated from fine-resolution imagery of Google Earth. The proposed approach can greatly simplify the procedures of forest cover mapping. |
| WOS关键词 | SURFACE REFLECTANCE ; LANDSAT ; MAPS ; CLASSIFICATION ; COMPOSITES |
| 资助项目 | Strategic Priority Research Program of the Chinese Academy of Sciences[XDA19080303] ; National Key Research and Development Program of China[2019YFA0606601] ; National Key Research and Development Program of China[2016YFA0600201] ; Youth Innovation Promotion Association of Chinese Academy of Sciences[2019056] |
| WOS研究方向 | Remote Sensing |
| 语种 | 英语 |
| WOS记录号 | WOS:000580221000001 |
| 出版者 | MDPI |
| 资助机构 | Strategic Priority Research Program of the Chinese Academy of Sciences ; National Key Research and Development Program of China ; Youth Innovation Promotion Association of Chinese Academy of Sciences |
| 源URL | [http://ir.igsnrr.ac.cn/handle/311030/157157]  |
| 专题 | 中国科学院地理科学与资源研究所 |
| 通讯作者 | Liu, Ronggao |
| 作者单位 | Chinese Acad Sci, Inst Geog Sci & Nat Resources Res, State Key Lab Resources & Environm Informat Syst, Beijing 100101, Peoples R China |
| 推荐引用方式 GB/T 7714 | Liu, Yang,Liu, Ronggao. A Simple Approach for Mapping Forest Cover from Time Series of Satellite Data[J]. REMOTE SENSING,2020,12(18):13. |
| APA | Liu, Yang,&Liu, Ronggao.(2020).A Simple Approach for Mapping Forest Cover from Time Series of Satellite Data.REMOTE SENSING,12(18),13. |
| MLA | Liu, Yang,et al."A Simple Approach for Mapping Forest Cover from Time Series of Satellite Data".REMOTE SENSING 12.18(2020):13. |
入库方式： OAI收割
来源：地理科学与资源研究所
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