An Effective Method for Generating Spatiotemporally Continuous 30 m Vegetation Products
文献类型：期刊论文
| 作者 | Li, Xiuxia1; Liang, Shunlin3; Jin, Huaan2
|
| 刊名 | REMOTE SENSING
 |
| 出版日期 | 2021-02-01 |
| 卷号 | 13期号:4页码:20 |
| 关键词 | LAI NDVI data integration time series similarity |
| DOI | 10.3390/rs13040719 |
| 通讯作者 | Liang, Shunlin(sliang@umd.edu) |
| 英文摘要 | Leaf area index (LAI) and normalized difference vegetation index (NDVI) are key parameters for various applications. However, due to sensor tradeoff and cloud contaminations, these data are often temporally intermittent and spatially discontinuous. To address the discontinuities, this study proposed a method based on spectral matching of 30 m discontinuous values from Landsat data and 500 m temporally continuous values from Moderate-resolution Imaging Spectroradiometer (MODIS) data. Experiments have proven that the proposed method can effectively yield spatiotemporally continuous vegetation products at 30 m spatial resolution. The results for three different study areas with NDVI and LAI showed that the method performs well in restoring the time series, fills in the missing data, and reasonably predicts the images. Remarkably, the proposed method could address the issue when no cloud-free data pairs are available close to the prediction date, because of the temporal information "borrowed" from coarser resolution data. Hence, the proposed method can make better use of partially obscured images. The reconstructed spatiotemporally continuous data have great potential for monitoring vegetation, agriculture, and environmental dynamics. |
| 资助项目 | National Key Research and Development Program of China[2016YFA0600103] |
| WOS研究方向 | Environmental Sciences & Ecology ; Geology ; Remote Sensing ; Imaging Science & Photographic Technology |
| 语种 | 英语 |
| WOS记录号 | WOS:000624457300001 |
| 出版者 | MDPI |
| 资助机构 | National Key Research and Development Program of China |
| 源URL | [http://ir.imde.ac.cn/handle/131551/56020]  |
| 专题 | 成都山地灾害与环境研究所_数字山地与遥感应用中心 |
| 通讯作者 | Liang, Shunlin |
| 作者单位 | 1.Beijing Normal Univ, Fac Geog Sci, State Key Lab Remote Sensing Sci, Beijing 100875, Peoples R China 2.Chinese Acad Sci, Res Ctr Digital Mt & Remote Sensing Applicat, Inst Mt Hazards & Environm, Chengdu 610041, Peoples R China 3.Univ Maryland, Dept Geog Sci, College Pk, MD 20742 USA |
| 推荐引用方式 GB/T 7714 | Li, Xiuxia,Liang, Shunlin,Jin, Huaan. An Effective Method for Generating Spatiotemporally Continuous 30 m Vegetation Products[J]. REMOTE SENSING,2021,13(4):20. |
| APA | Li, Xiuxia,Liang, Shunlin,&Jin, Huaan.(2021).An Effective Method for Generating Spatiotemporally Continuous 30 m Vegetation Products.REMOTE SENSING,13(4),20. |
| MLA | Li, Xiuxia,et al."An Effective Method for Generating Spatiotemporally Continuous 30 m Vegetation Products".REMOTE SENSING 13.4(2021):20. |
入库方式： OAI收割
来源：成都山地灾害与环境研究所
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