Arid
DOI10.1109/JSTARS.2012.2226707
Comparison of Two Remote Sensing Based Models for Regional Net Primary Productivity Estimation-A Case Study in Semi-Arid Central Kazakhstan
Eisfelder, Christina1; Kuenzer, Claudia1; Dech, Stefan1; Buchroithner, Manfred F.2
通讯作者Eisfelder, Christina
来源期刊IEEE JOURNAL OF SELECTED TOPICS IN APPLIED EARTH OBSERVATIONS AND REMOTE SENSING
ISSN1939-1404
EISSN2151-1535
出版年2013
卷号6期号:4页码:1843-1856
英文摘要

Modelling net primary productivity (NPP) is an important instrument for analysing carbon exchange between atmosphere and vegetation as well as for quantification of carbon sinks and sources. Remote-sensing-based models allow for regional NPP estimation and are potentially transferable to new regions. Comparative model analyses, however, are lacking, especially for semi-arid environments. In this study, two recent remote-sensing-based NPPmodels were applied for the first time to a study region in semi-arid Kazakhstan: RBM, a light-use-efficiency model based on MODIS products, and BETHY/DLR, a soil-vegetation-atmosphere-transfer model. Differences in intermediate products, their influence on calculated NPP, as well as output products are evaluated and discussed. BETHY/DLR calculates higher NPP (mean annual NPP 2010 and 2011: 136.87 g C m(-2) and 106.69 g C m(-2) than RBM (62.14 g C m(-2) and 54.61 g C m(-2)) and shows stronger inter-annual changes. Spatial and seasonal patterns present well phenological differences. Comparison to field data from 2011 showed better results for BETHY/DLR, though both results were highly correlated to the field observations (BETHY/DLR: R-2 = 0.95, RMSE = 8.36 g C m(-2) RBM: R-2 = 0.98, RMSE = 22049 g C m(-2)). The parameterization of the light use efficiency is critical for RBM; also MODIS based 16-day time steps might be too long to capture variable climatic conditions. For BETHY/DLR, the MODIS land cover product applied in this study differentiates insufficient classes within the semi-arid environment; a more detailed land cover map is needed to improve the regional analysis.


英文关键词BETHY/DLR Net primary productivity (NPP) RBM remote sensing semi-arid Kazakhstan
类型Article
语种英语
国家Germany
收录类别SCI-E
WOS记录号WOS:000322453800006
WOS关键词LIGHT-USE EFFICIENCY ; GROSS PRIMARY PRODUCTION ; LEAF-AREA INDEX ; LAND-COVER ; TERRESTRIAL ECOSYSTEMS ; SATELLITE DATA ; CENTRAL-ASIA ; MODIS ; BIOMASS ; FOREST
WOS类目Engineering, Electrical & Electronic ; Geography, Physical ; Remote Sensing ; Imaging Science & Photographic Technology
WOS研究方向Engineering ; Physical Geography ; Remote Sensing ; Imaging Science & Photographic Technology
资源类型期刊论文
条目标识符http://119.78.100.177/qdio/handle/2XILL650/177593
作者单位1.German Aerosp Ctr DLR, German Remote Sensing Data Ctr DFD, Oberpfaffenhofen, Germany;
2.Tech Univ Dresden, Inst Cartog, D-01062 Dresden, Germany
推荐引用方式
GB/T 7714
Eisfelder, Christina,Kuenzer, Claudia,Dech, Stefan,et al. Comparison of Two Remote Sensing Based Models for Regional Net Primary Productivity Estimation-A Case Study in Semi-Arid Central Kazakhstan[J],2013,6(4):1843-1856.
APA Eisfelder, Christina,Kuenzer, Claudia,Dech, Stefan,&Buchroithner, Manfred F..(2013).Comparison of Two Remote Sensing Based Models for Regional Net Primary Productivity Estimation-A Case Study in Semi-Arid Central Kazakhstan.IEEE JOURNAL OF SELECTED TOPICS IN APPLIED EARTH OBSERVATIONS AND REMOTE SENSING,6(4),1843-1856.
MLA Eisfelder, Christina,et al."Comparison of Two Remote Sensing Based Models for Regional Net Primary Productivity Estimation-A Case Study in Semi-Arid Central Kazakhstan".IEEE JOURNAL OF SELECTED TOPICS IN APPLIED EARTH OBSERVATIONS AND REMOTE SENSING 6.4(2013):1843-1856.
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