A new net primary production estimating model using NOAA-AVHRR applied to the Haihe Basin, China
文献类型:会议论文
作者 | Xu Xingang1,2; Wu Bingfang2; Li Qiangzi2; Meng Jihu1,2; Zhang Fengli2 |
出版日期 | 2006 |
会议日期 | OCT 28-29, 2006 |
会议地点 | Wuhan |
关键词 | Net Primary Production photosynthesis light utilization efficiency NOAA-AVHRR |
卷号 | 6419 |
DOI | 10.1117/12.712648 |
页码 | 641907 |
国家 | PEOPLES R CHINA |
英文摘要 | Terrestrial net primary production (NPP), as an important component of carbon cycle on land, not only indicates directly the production level of vegetation community on land, but also shows the status of terrestrial ecosystem. What's more, NPP is also a determinant of carbon sinks on land and a key regulator of ecological processes, including interactions among tropic levels. In the study, three existing models are combined with each other to assess net primary production in Haihe Basin, China. The photosynthetically active radiation (PAR) model of Monteith is used for the calculation of absorbed photosynthetically active radiation (APAR), the light utilization efficiency model of Potter et al. is used for determining the light utilization efficiency, and the surface energy balance system (SEBS) of Su is used into Potter's model to describe water stress in land wetness conditions. To assess NPP, We use NOAA-AVHRR data from November 2003 to September 2004 and the corresponding daily data of temperature and hours of sunshine obtained from meteorological stations in Hailie Basin, China. After atmospheric, geometrical and radiant corrections, every ten days NOAA data are processed to become an image of NDVI by means of the maximal value composition method (MVC) in order to eliminate some noises. Using these data, we compute NPP in spring season and spring season of 2004 in Haihe Basin, China. The result shows, in Haihe Basin, NPP for spring season is averaged to 336.10gC(.)m(-2), and 709.16 gC(.)m(-2) for autumn season. In spatial distribution, NPP is greater in both ends than in middle for spring season, and decrease increasingly from north to south for autumn season. Future work should rely on the integration of high and low resolution images to assess net primary production, which will probably have more accurately estimation. |
源文献作者 | Zhang, L ; Chen, XL |
产权排序 | 1 |
会议录 | GEOINFORMATICS 2006: REMOTELY SENSED DATA AND INFORMATION
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会议录出版者 | SPIE-INT SOC OPTICAL ENGINEERING |
会议录出版地 | BELLINGHAM |
语种 | 英语 |
电子版国际标准刊号 | 1996-756X |
ISSN号 | 0277-786X |
ISBN号 | 978-0-8194-6528-3 |
WOS记录号 | WOS:000245103300007 |
源URL | [http://ir.imde.ac.cn/handle/131551/33517] ![]() |
专题 | 成都山地灾害与环境研究所_成都山地所知识仓储(2009年以前) |
通讯作者 | Xu Xingang |
作者单位 | 1.Institute of Mountain Hazards and Environment, Chinese Academy of Sciences, Ren Ming Nan Road No9, Chengdu 610041, China; 2.Institute of Remote Sensing Applications, Chinese Academy of Sciences, Chaoyang District, Datun Road, Beijing 100101, China |
推荐引用方式 GB/T 7714 | Xu Xingang,Wu Bingfang,Li Qiangzi,et al. A new net primary production estimating model using NOAA-AVHRR applied to the Haihe Basin, China[C]. 见:. Wuhan. OCT 28-29, 2006. |
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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