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A new net primary production estimating model using NOAA-AVHRR applied to the Haihe Basin, China
Xu Xingang1,2; Wu Bingfang2; Li Qiangzi2; Meng Jihu1,2; Zhang Fengli2
Author of SourceZhang, L ; Chen, XL
meeting14th International Conference on Geoinformatics
Conference DateOCT 28-29, 2006
Conference PlaceWuhan
Publication PlaceBELLINGHAM
Contribution Rank1
AbstractTerrestrial 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.
KeywordNet Primary Production photosynthesis light utilization efficiency NOAA-AVHRR
Indexed ByEI ; CPCI
Accession numberAccession number:20070410380346
WOS IDWOS:000245103300007
Citation statistics
Cited Times:1[WOS]   [WOS Record]     [Related Records in WOS]
Document Type会议论文
Corresponding AuthorXu Xingang
Affiliation1.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
First Author Affilication中国科学院水利部成都山地灾害与环境研究所
Corresponding Author Affilication中国科学院水利部成都山地灾害与环境研究所
Recommended Citation
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]//Zhang, L, Chen, XL. BELLINGHAM:SPIE-INT SOC OPTICAL ENGINEERING,2006:641907.
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