IMHE OpenIR  > Journal of Mountain Science  > Journal of Mountain Science-2014  > Vol11 No.4
Simulating Alpine Vegetation Net Primary Productivity by Remote Sensing in Qinghai Province; China
WEI Ya-xing; WANG Li-wen
Corresponding AuthorWEI Ya-xing
2014-07
Source PublicationJournal of Mountain Science
Volume11Issue:4Pages:967-978
AbstractPrimary productivity of ecosystem is important indicator about ecological assessment. Remote sensing technology has been used to monitor net primary productivity (NPP) of ecological system for several years. In this paper; the remotely sensed NPP simulation model of alpine vegetation in Qinghai Province of Tibet Plateau was set up based on the theory of light use efficiency. Firstly a new approach based on mixed pixels and Support Vector Machine (SVM) algorithm were used to correct simulated NPP values derived from Moderate Resolution Imaging Spectroradiometer (MODIS) data. Finally; spatial distribution and monthly variation characteristics of NPP in Qinghai Province in 2006 were analyzed in detail. The result showed that NPP of vegetation in Qinghai Province in 2006 ranged from 0 to 422 gC/m2/a and the average NPP was 151 gC/m2/a. NPP gradually increased from northwest to southeast. NPP of different vegetation types were obviously different. The average NPP of broad-leaved forest was the largest (314 gC/m2/a); and sparse shrub was the smallest (101 gC/m2/a). NPP in Qinghai Province significantly changed with seasonal variation. The accumulation of NPP was primarily in the period (from April to September) with better moist and heat conditions. In July; the average NPP of vegetation reached the maximum value (43 gC/m2). In our model; the advantage of traditional LUE models was adopted; and our study fully considered typical characteristics of alpine vegetation light use efficiency and environmental factors in the study area. Alpine vegetation is the most important ecological resource of Tibet Plateau; exactly monitoring its NPP value by remote sensing is an effective protection measure.
KeywordNet Primary Productivity Remote Sensing Light Use Efficiency Model Contextural Approach Support Vector Machine
Indexed BySCI
Document Type期刊论文
Identifierhttp://ir.imde.ac.cn/handle/131551/7000
CollectionJournal of Mountain Science_Journal of Mountain Science-2014_Vol11 No.4
Corresponding AuthorWEI Ya-xing
Recommended Citation
GB/T 7714
WEI Ya-xing,WANG Li-wen. Simulating Alpine Vegetation Net Primary Productivity by Remote Sensing in Qinghai Province; China[J]. Journal of Mountain Science,2014,11(4):967-978.
APA WEI Ya-xing,&WANG Li-wen.(2014).Simulating Alpine Vegetation Net Primary Productivity by Remote Sensing in Qinghai Province; China.Journal of Mountain Science,11(4),967-978.
MLA WEI Ya-xing,et al."Simulating Alpine Vegetation Net Primary Productivity by Remote Sensing in Qinghai Province; China".Journal of Mountain Science 11.4(2014):967-978.
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