全部 标题 作者
关键词 摘要

OALib Journal期刊
ISSN: 2333-9721
费用:99美元

查看量下载量

相关文章

更多...

基于MODIS的陆地植被光合过程参数反演研究

DOI: 10.11820/dlkxjz.2004.04.002, PP. 10-18

Keywords: MODIS,辐射利用率,光合有效辐射,净第一性生产力,温带落叶林

Full-Text   Cite this paper   Add to My Lib

Abstract:

遥感在陆地植被生产力研究中的应用,推动了遥感驱动的陆地生态系统模拟和NPP估算尺度的扩展。NPP遥感模型中,冠层吸收光合有效辐射和辐射利用率是描述植物光合过程的两个关键参数,本文根据太阳辐射在地-气系统中的传输过程和植物光合作用机理,建立基于MODIS数据的参数反演模型,重点研究地表光合有效辐射吸收总量(APARSFC)、冠层光合有效辐射吸收比(RPAR)、辐射利用率(RUE)等的定量提取,并选择东北温带落叶林为研究对象,利用2003年6月MODIS数据,探讨各自在NPP研究中的应用。研究表明6月东北温带落叶林地表PAR净通量月均值为8.1MJm-2day-1;RPAR大于0.5,部分地区达到饱和;辐射利用率在0.45~1.09gCMJ-1之间,落叶阔叶林和落叶针叶林均值分别为0.71和0.69gCMJ-1;净光合产物月累积均值达0.53MgChm-2,其中,落叶针叶林为0.56MgChm-2,落叶阔叶林达0.51MgChm-2,表现出明显的地带性规律,与过程机理模型模拟结果进行比较分析,二者差异很小,体现出良好的一致性。

References

[1]  吴兆录, 党承林, 王崇云 等. 滇西北高山松林净第一性生产力的研究. 云南大学学报(自然科学版),1994,16 (3): 225~229.
[2]  王绍强, 周成虎, 罗承文. 中国陆地自然植被碳量空间分布特征探讨. 地理科学进展,1999,18 (33): 238~244.
[3]  Chiesi M, Maselli F, Bindi M, et al. Calibration and application of Forest-BGC in a Mediterranean area by the use of conventional and remote sensing data. Ecological Modelling, 2002, 154: 251~262.
[4]  Coops N C, Waring R H. The use of multiscale remote sensing imagery to derive regional estimates of forest growth capacity using 3-PGS. Remote Sensing of Environment, 2003, 75: 324~334.
[5]  Wang H Q, Hall C A S, Frederick N S, et al. Modeling the spatial and temporal variability in climate and primary productivity across the Luquillo Mountains, Puerto Rico. Forest Ecology and Management, 2003, 179:69~94.
[6]  Li Z Q, Moreau L. A new approach for remote sensing of canopy-absorbed photosynthetically active radiation. I: total surface absorption. Remote Sensing of Environment, 1996, 55: 175~191.
[7]  Mynenei R B, Willams D L. On the relationship between FAPAR and NDVI. Remote Sensing of Environment, 1994, 49:200~211.
[8]  马建文, 赵忠明, 布和敖斯尔. 遥感数据模型及处理方法. 北京:中国科学技术出版社,2001.
[9]  Hirose T, Werger M J A. Maximizing daily canopy photosynthesis with respect to the leaf nitrogen allocation pattern in a canopy. Oecologia, 1987, 72:520~526.
[10]  Choudhury B J. Estimating gross photosynthesis using satellite and ancillary data: approach and prliminnary results. Remote sensing of environment, 2001, 75:1~21.
[11]  Bassow S L, Bazzaz F A. Intra- and Inter-Specific Variation in Canopy Photosynthesis in a Mixed Deciduous Forest. Oecologia, 1997, 109: 507~515.
[12]  Williams M, Rastetter E B, Fernandes D N, et al. Predicting gross primary productivity in terrestrial ecosystems. Ecol. Appl., 1997, 7: 882~894.
[13]  Reich P B, Kloeppel B D, Ellsworth D S, et al. Different Photosynthesis-Nitrogen Relations in Deciduous Hardwood and Evergreen Coniferous Tree. Oecologia, 1995, 104: 24~30.
[14]  Fownes J H. Water Use and Primary Production of Wisconsin Hardwood Forests. Ph. D. Dissertation, University of Wisconsin-Madison, 1985.
[15]  齐玉春, 董云社, 耿元波 等. 我国草地生态系统碳循环研究进展. 地理科学进展,2003,22 (4): 342~352
[16]  Monteith J L. Climate and efficiency of crop production in Britain. Philosophical Transactions of the Royal Society of London, 1977, Ser. B: 277-294.
[17]  Hunt E R. Relationship between woody biomass and PAR conversion efficiency for estimating net primary production from NDVI. International Journal of Remote Sensing, 1994, 15:1725~1730.
[18]  Asrar G, Myenei R B, Choudhury B J. Spatial heterogeneity in vegetation canopies and remote sensing of absorbed photosynthetically active radiation: a modeling study. Remote Sensing of Environment, 1992, 41: 85-103.
[19]  吴北婴, 李 卫, 陈洪滨 等. 大气辐射传输实用算法. 北京:气象出版社,1998.
[20]  Strahler A H, Lucht W, Schaaf C B. MODIS BRDF/albedo product: algorithm theoretical basis document version 5.0. http://geography.bu.edu/brdf/index.html, 1999.

Full-Text

Contact Us

service@oalib.com

QQ:3279437679

WhatsApp +8615387084133