基于MODIS的陆地植被光合过程参数反演研究
MODIS-based Approach to Estimate Terrestrial Gross Photosynthesis
查看参考文献20篇
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文摘
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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8.1MJ m-2day-1;RPAR大于0.5,部分地区达到饱和;辐射利用率在0.45～1.09gC MJ-1之间,落叶阔叶林和落叶针叶林均值分别为0.71和0.69gC MJ-1;净光合产物月累积均值达0.53MgC hm-2,其中,落叶针叶林为0.56MgC hm-2,落叶阔叶林达0.51MgC hm-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. |
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其他语种文摘
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Applications of remote sensing in the study of terrestrial productivity open up an effective way for simulating terrestrial ecosystem productivity. In this paper, according to transferring process of solar radiation between atmosphere and land surface, and canopy photosynthesis, MODIS-based models are established to parameterize carbon assimilation by terrestrial plant communication, focused on photosynthetically active radiation absorbed by all surface materials (APARSFC), ratio of PAR absorbed by plant canopy to APARSFC (RPAR), and radiation use efficiency (RUE): A new approach for daily net PAR flux is established, integrated of incident PAR at the top of atmosphere, the total transmission for atmosphere, land albedo, land-surface incident sun-light, and solar hourly angle change during a day, instead of field observation and converting coefficient. And then, daily APARSFC is accumulated to composite monthly APARSFC. RPAR is estimated by an empirical model with FPAR. (3) RUE is evaluated by a biophysically based approach with respect to A_(max) and leaf areaindex. The variation of A_(max) within the canopy is assumed to be governed by its dependence on specific leaf nitrogen, which varies with the canopy due to aging of leaves and acclimation to prevailing irradiance. The parameterized models are further applied to simulate NPP of temperate deciduous forest in Northeast China in June 2003, consisting of deciduous broadleaved forest and deciduous coniferous forest. The results show that APARSFC of temperate deciduous forest woodland in Northeast China gets to climax, the mean PAR values of deciduous broadleaved forest and deciduous coniferous forest reach 8.24 MJ m~2day~(-1) and 8.63 MJ m~2day~(-1); with growing leaves, RPAR of most forest canopies is more than 0.5, and saturates in partial forest woodland; RUE varies between 0.45 and 1.09gC MJ~(-1), the mean RUE is 0.71gC MJ~(-1) for broadleaved forest, 0.69gC MJ~(-1) for coniferous forest; monthly NPP is 0.53MgC ha~(-1), and 0.56MgC ha~(-1) for deciduous coniferous forest, while 0.51MgC ha~(-1) for deciduous broadleaved forest. Compared with process-based model, both of them are in agreement with predicted NPP. |
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来源
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地理科学进展
,2004,23(4):10-18 【核心库】
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关键词
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温带落叶林
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净第一性生产力
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MODIS
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辐射利用率
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光合有效辐射
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地址
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1.
中科院地理科学与资源研究所, 北京, 100101
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北京林业大学水土保持学院, 北京, 100083
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语种
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中文 |
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文献类型
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研究性论文 |
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ISSN
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1007-6301 |
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学科
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自然地理学;环境质量评价与环境监测 |
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基金
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中国科学院知识创新工程项目
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文献收藏号
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CSCD:1775054
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参考文献 共
20
共1页
|
|
1.
吴兆录. 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
|
CSCD被引
2
次
|
|
|
|
|
2.
王绍强. 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
|
CSCD被引
86
次
|
|
|
|
|
3.
齐玉春. 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
|
CSCD被引
82
次
|
|
|
|
|
4.
Chiesi M. 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
|
CSCD被引
6
次
|
|
|
|
|
5.
Coops N C. 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
|
CSCD被引
1
次
|
|
|
|
|
6.
Wang H Q. Modeling the spatial and temporal variability in climate and primary productivity across the Luquillo Mountains.
Forest Ecology and Management,2003,179:69-94
|
CSCD被引
2
次
|
|
|
|
|
7.
Monteith J L. Climate and efficiency of crop production in Britain.
Philosophical Transactions of the Royal Society of London, Ser. B,1977:277-294
|
CSCD被引
76
次
|
|
|
|
|
8.
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
|
CSCD被引
25
次
|
|
|
|
|
9.
Asrar G. a modeling study.
Remote Sensing of Environment,1992,41:85-103
|
CSCD被引
6
次
|
|
|
|
|
10.
Li Z Q. A new approach for remote sensing of canopy-absorbed photosynthetically active radiation.
Remote Sensing of Environment,1996,55:175-191
|
CSCD被引
1
次
|
|
|
|
|
11.
Mynenei R B. On the relationship between FAPAR and NDVI.
Remote Sensing of Environment,1994,49:200-211
|
CSCD被引
1
次
|
|
|
|
|
12.
吴北婴. 大气辐射传输实用算法.
大气辐射传输实用算法,1998
|
CSCD被引
45
次
|
|
|
|
|
13.
Strahler A H. algorithm theoretical basis document version 5.
http://geography.bu.edu/brdf/index.html,1999
|
CSCD被引
1
次
|
|
|
|
|
14.
马建文. 遥感数据模型及处理方法.
遥感数据模型及处理方法,2001
|
CSCD被引
1
次
|
|
|
|
|
15.
Hirose T. Maximizing daily canopy photosynthesis with respect to the leaf nitrogen allocation pattern in a canopy.
Oecologia,1987,72:520-526
|
CSCD被引
30
次
|
|
|
|
|
16.
Choudhury B J. approach and prliminnary results.
Remote sensing of environment,2001,75:1-21
|
CSCD被引
9
次
|
|
|
|
|
17.
Bassow S L. Intra-and Inter-Specific Variation in Canopy Photosynthesis in a Mixed Deciduous Forest.
Oecologia,1997,109:507-515
|
CSCD被引
13
次
|
|
|
|
|
18.
Williams M. Predicting gross primary productivity in terrestrial ecosystems.
Ecol. Appl.,1997,7:882-894
|
CSCD被引
7
次
|
|
|
|
|
19.
Reich P B. Different Photosynthesis-Nitrogen Relations in Deciduous Hardwood and Evergreen Coniferous Tree.
Oecologia,1995,104:24-30
|
CSCD被引
38
次
|
|
|
|
|
20.
Fownes J H. Water Use and Primary Production of Wisconsin Hardwood Forests.
Water Use and Primary Production of Wisconsin Hardwood Forests [Ph.D.Dissertation],1985
|
CSCD被引
1
次
|
|
|
|
|
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