Effect of Mathematical Expression of Vegetation Indices on the Estimation of Phenology Trends from Satellite Data
文献类型：期刊论文
| 作者 | Zuo, Lu1,2; Liu, Ronggao1 ; Liu, Yang1; Shang, Rong1
|
| 刊名 | CHINESE GEOGRAPHICAL SCIENCE
 |
| 出版日期 | 2019-10-01 |
| 卷号 | 29期号:5页码:756-767 |
| 关键词 | vegetation phenology vegetation index trend consistency noise effect spatially temporal comparability northern China Mongolia |
| ISSN号 | 1002-0063 |
| DOI | 10.1007/s11769-019-1070-y |
| 通讯作者 | Liu, Ronggao(liurg@igsnrr.ac.cn) |
| 英文摘要 | Vegetation indices (VIs) from satellite remote sensing have been extensively applied to analyze the trends of vegetation phenology. In this paper, the NDVI (normalized difference vegetation index) and SR (simple ration), which are calculated from the same spectral bands of MODIS data with different mathematical expressions, were used to extract the start date (SOS) and end date (EOS) of the growing season in northern China and Mongolia from 2000 to 2015. The results show that different vegetation indices would lead to differences in vegetation phenology especially in their trends. The mean SOS from NDVI is 15.5 d earlier than that from SR, and the mean EOS from NDVI is 13.4 d later than that from SR. It should be noted that 16.3% of SOS and 17.2% of EOS derived from NDVI and SR exhibit opposite trends. The phenology dates and trends from NDVI are also inconsistent with those of SR among various vegetation types. These differences based on different mathematical expressions in NDVI and SR result from different resistances to noise and sensitivities to spectral signal at different stage of growing season. NDVI is prone to be effected more by low noise and is less sensitive to dense vegetation. While SR is affected more by high noise and is less sensitive to sparse vegetation. Therefore, vegetation indices are one of the uncertainty sources of remote sensing-based phenology, and appropriate indices should be used to detect vegetation phenology for different growth stages and estimate phenology trends. |
| WOS关键词 | LAND-SURFACE PHENOLOGY ; LEAF-AREA INDEX ; SPRING PHENOLOGY ; TEMPERATE ECOSYSTEMS ; CLIMATE CONTROLS ; TIBETAN PLATEAU ; GROWING-SEASON ; TIME-SERIES ; 3 DECADES ; CHINA |
| 资助项目 | Strategic Priority Research Program of the Chinese Academy Sciences[XDA19080303] ; National Key Research and Development Program for Global Change and Adaptation[2016YFA0600201] ; Distinctive Institutes Development Program, Chinese Academy of Sciences[TSYJS04] ; National Natural Sciences Foudation of China[41171285] |
| WOS研究方向 | Environmental Sciences & Ecology |
| 语种 | 英语 |
| WOS记录号 | WOS:000494481000003 |
| 出版者 | SPRINGER |
| 资助机构 | Strategic Priority Research Program of the Chinese Academy Sciences ; National Key Research and Development Program for Global Change and Adaptation ; Distinctive Institutes Development Program, Chinese Academy of Sciences ; National Natural Sciences Foudation of China |
| 源URL | [http://ir.igsnrr.ac.cn/handle/311030/132090]  |
| 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 | 1.Chinese Acad Sci, Inst Geog Sci & Nat Resources Res, State Key Lab Resources & Environm Informat Syst, Beijing 100101, Peoples R China 2.Univ Chinese Acad Sci, Beijing 100049, Peoples R China |
| 推荐引用方式 GB/T 7714 | Zuo, Lu,Liu, Ronggao,Liu, Yang,et al. Effect of Mathematical Expression of Vegetation Indices on the Estimation of Phenology Trends from Satellite Data[J]. CHINESE GEOGRAPHICAL SCIENCE,2019,29(5):756-767. |
| APA | Zuo, Lu,Liu, Ronggao,Liu, Yang,&Shang, Rong.(2019).Effect of Mathematical Expression of Vegetation Indices on the Estimation of Phenology Trends from Satellite Data.CHINESE GEOGRAPHICAL SCIENCE,29(5),756-767. |
| MLA | Zuo, Lu,et al."Effect of Mathematical Expression of Vegetation Indices on the Estimation of Phenology Trends from Satellite Data".CHINESE GEOGRAPHICAL SCIENCE 29.5(2019):756-767. |
入库方式： OAI收割
来源：地理科学与资源研究所
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