ESTIMATING TERRESTRIAL VEGETATION PRIMARY PRODUCTIVITY USING SATELLITE SAR DATA

被引：1

作者：

Gao, Shuai ^{[1
]}

Niu, Zheng ^{[1
]}

Wu, Mingquan ^{[1
]}

Liu, Chenzhou ^{[1
]}

机构：

[1] Chinese Acad Sci, Inst Remote Sensing Applicat, State Key Lab Remote Sensing Sci, Beijing 100101, Peoples R China

来源：

2012 IEEE INTERNATIONAL GEOSCIENCE AND REMOTE SENSING SYMPOSIUM (IGARSS) | 2012年

关键词：

GPP; ENVISAT/ASAR; LAI; FLUX;

D O I：

10.1109/IGARSS.2012.6352744

中图分类号：

TM [电工技术]; TN [电子技术、通信技术];

学科分类号：

0808 ; 0809 ;

摘要：

A new GPP/NPP model driven by the satellite SAR data was introduced in this paper. It was based on the light use efficiency theory and was referred to the MODIS model for the value of the maximum light use efficiency of different vegetation types. The model was testified in the HEIHE area with ENVISAT-SAR data and showed its feasibility to estimate GPP/NPP. Firstly, the driving factors such as PAR, T_scalar, W_scalar were calculated based on the algorithm and meteorological observation data. Then, the LUT algorithm using the MIMICS model was introduced and validated for its effectiveness to estimate LAI. Finally, the GPP was obtained based on the model and compared with the ground flux observation and MODIS product. The results reveal a potential possibility that the satellite SAR data could be used for the GPP/NPP estimation.

引用

页码：6467 / 6470

页数：4

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