中国科学院机构知识库网格
Chinese Academy of Sciences Institutional Repositories Grid
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
DOI10.3390/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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