Determining the Start of the Growing Season from MODIS Data in the Indian Monsoon Region: Identifying Available Data in the Rainy Season and Modeling the Varied Vegetation Growth Trajectories
文献类型：期刊论文
| 作者 | Shang, Rong1,2; Liu, Ronggao1 ; Xu, Mingzhu3; Liu, Yang1; Dash, Jadunandun4; Ge, Quansheng1
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| 刊名 | REMOTE SENSING
 |
| 出版日期 | 2018 |
| 卷号 | 10期号:1页码:16 |
| 关键词 | land surface phenology vegetation growth trajectory start of growing season Indian monsoon climate change MODIS |
| ISSN号 | 2072-4292 |
| DOI | 10.3390/rs10010122 |
| 通讯作者 | Liu, Ronggao(liurg@igsnrr.ac.cn) |
| 英文摘要 | In the Indian monsoon region, frequent cloud cover in the rainy season results in less valid satellite observations during the vegetation growth period, making it difficult to extract land surface phenology (LSP). Even worse, many valid but humid observations were misidentified as clouds in the MODIS cloud mask, causing severe gaps in the LSP product. Using a refined cloud detection approach to separate clear-sky and cloudy observations, this study found that potentially valid observations during the vegetation growth period could be identified. Furthermore, the varied vegetation growth trajectories cannot be well-fitted by a global curve-fitting approach, but can be modelled by using the locally adjusted cubic-spline capping approach, which performed well for any seasonal patterns. Applying this approach, the start of growing season (SOS) was determined with 9.18% of vegetation growth amplitude between the maximum and minimum NDVI to generate the SOS product (2000-2016). The valid percentage of this regional product largely increased from 29.30% to 69.76% compared with the MCD12Q2 product, and its reliability was approximate to that of deciduous broadleaf forest in North America and Europe. This product could serve as a basis for understanding the response of terrestrial ecosystems to the changing Indian monsoon. |
| WOS关键词 | LAND-SURFACE PHENOLOGY ; TIME-SERIES DATA ; EXTREME WET ; DRY SPELLS ; RAINFALL ; PRODUCTS ; DYNAMICS ; PATTERNS ; FORESTS ; CLIMATE |
| 资助项目 | Chinese Academy of Sciences[XDA19080303] ; Key Research and Development Programs for Global Change and Adaptation[2016YFA0600201] ; Distinctive Institutes Development Program, CAS[TSYJS04] ; National Natural Science Foundation from China[41171285] |
| WOS研究方向 | Remote Sensing |
| 语种 | 英语 |
| WOS记录号 | WOS:000424092300120 |
| 出版者 | MDPI AG |
| 资助机构 | Chinese Academy of Sciences ; Key Research and Development Programs for Global Change and Adaptation ; Distinctive Institutes Development Program, CAS ; National Natural Science Foundation from China |
| 源URL | [http://ir.igsnrr.ac.cn/handle/311030/56937]  |
| 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 3.Nanjing Univ, Int Inst Earth Syst Sci, Nanjing 210023, Jiangsu, Peoples R China 4.Univ Southampton, Geog & Environm, Southampton SO17 1BJ, Hants, England |
| 推荐引用方式 GB/T 7714 | Shang, Rong,Liu, Ronggao,Xu, Mingzhu,et al. Determining the Start of the Growing Season from MODIS Data in the Indian Monsoon Region: Identifying Available Data in the Rainy Season and Modeling the Varied Vegetation Growth Trajectories[J]. REMOTE SENSING,2018,10(1):16. |
| APA | Shang, Rong,Liu, Ronggao,Xu, Mingzhu,Liu, Yang,Dash, Jadunandun,&Ge, Quansheng.(2018).Determining the Start of the Growing Season from MODIS Data in the Indian Monsoon Region: Identifying Available Data in the Rainy Season and Modeling the Varied Vegetation Growth Trajectories.REMOTE SENSING,10(1),16. |
| MLA | Shang, Rong,et al."Determining the Start of the Growing Season from MODIS Data in the Indian Monsoon Region: Identifying Available Data in the Rainy Season and Modeling the Varied Vegetation Growth Trajectories".REMOTE SENSING 10.1(2018):16. |
入库方式： OAI收割
来源：地理科学与资源研究所
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