Study of remote sensing based parameter uncertainty in Production Efficiency Models | |
Liu, Rui(刘睿) ; Sun Jiulin ; Wang Juanle ; Li Xiaolei ; Yang Fei ; Chen Pengfei | |
2010 | |
会议名称 | 2010 IEEE International Geoscience and Remote Sensing Symposium, IGARSS 2010 |
会议日期 | July 25, 2010 - July 30, 2010 |
会议地点 | Honolulu, HI, United states |
关键词 | Data handling Geology Remote sensing Vegetation |
通讯作者 | Liu, Rui |
英文摘要 | The remote sensing based Production Efficiency Models (PEMs), springs from the concept of "Light Use Efficiency" and has been applied more and more in estimating terrestrial Net Primary Productivity (NPP) regionally and globally. However, global NPP estimates vary greatly among different models in different data sources and handling methods. Because direct observation or measurement of NPP is unavailable at global scale, the precision and reliability of the models cannot be guaranteed. Though, there are ways to improve the accuracy of the models from input parameters. In this study, five remote sensing based PEMs have been compared: CASA, GLO-PEM, TURC, SDBM and VPM. We divided input parameters into three categories, and analyzed the uncertainty of (1) vegetation distribution, (2) fraction of photosynthetically active radiation absorbed by the canopy (fPAR) and (3) light use efficiency (e). Ground measurements of Hulunbeier typical grassland and meteorology measurements were introduced for accuracy evaluation. Results show that a real-time, more accurate vegetation distribution could significantly affect the accuracy of the models, since it's applied directly or indirectly in all models and affects other parameters simultaneously. Higher spatial and spectral resolution remote sensing data may reduce uncertainty of fPAR up to 51.3%, which is essential to improve model accuracy. |
收录类别 | EI |
会议主办者 | The Institute of Electrical and Electronics Engineers; Geoscience and Remote Sensing Society |
会议录 | International Geoscience and Remote Sensing Symposium (IGARSS) |
会议录出版者 | Institute of Electrical and Electronics Engineers Inc. |
会议录出版地 | 445 Hoes Lane / P.O. Box 1331, Piscataway, NJ 08855-1331, United States |
语种 | 英语 |
ISBN号 | 9781424495665 |
内容类型 | 会议论文 |
源URL | [http://ir.igsnrr.ac.cn/handle/311030/3284] |
专题 | 地理科学与资源研究所_研究生部 |
推荐引用方式 GB/T 7714 | Liu, Rui,Sun Jiulin,Wang Juanle,et al. Study of remote sensing based parameter uncertainty in Production Efficiency Models[C]. 见:2010 IEEE International Geoscience and Remote Sensing Symposium, IGARSS 2010. Honolulu, HI, United states. July 25, 2010 - July 30, 2010. |
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