植被FAPAR的遥感模型与反演研究

doi:10.11867/j.issn.1001-8166.2009.07.0741

地球科学进展 ›› 2009, Vol. 24 ›› Issue (7): 741 -747. doi: 10.11867/j.issn.1001-8166.2009.07.0741

植被FAPAR的遥感模型与反演研究

陶欣 ¹,范闻捷 ^1*,王大成 ²,闫彬彦 ¹,徐希孺 ^1


1.北京大学遥感与地理信息系统研究所，北京 100871;
2.浙江大学农业遥感与信息工程研究所，浙江杭州 310029

收稿日期:2009-05-18 修回日期:2009-06-12 出版日期:2009-06-10
通讯作者: 范闻捷(1972-)，女，山西祁县人，副教授，主要从事定量遥感研究. E-mail:fanwj @pku.edu.cn
基金资助:
国家重点基础研究发展计划项目“地表时空变化特征参数的遥感定量描述与尺度转换”（编号：2007CB714402）;国家自然基金项目“基于尺度纠正的作物插种面积和叶面积指数同步反演”（编号：40871186）;中国科学院西部行动计划（二期）项目“黑河流域遥感—地面观测同步试验与综合模拟平台建设”（编号：KZCX2-XB2-09）资助.

Remote Sensing Retrieval of FAPAR: Model and Analysis

Tao Xin ¹,Fan Wenjie ¹,Wang Dacheng ²,Yan Binyan ¹,Xu Xiru ¹

1. Institute of Remote Sensing and GIS, Peking University, Beijing 100871, China;
2. Institute of Agricultural Remote Sensing and Information Technology Application, Zhejiang University, Hangzhou 310029, China

Received:2009-05-18 Revised:2009-06-12 Online:2009-06-10 Published:2009-07-10

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FAPAR是遥感估算陆地生态系统植被净第一性生产力(NPP)的重要参数。FAPAR模型是否能真实反映植被冠层吸收光合有效辐射状况，将直接影响遥感估算植被NPP和碳循环的准确性。从FAPAR机理出发，考虑土壤反射率、冠层结构、太阳入射角等多种因素，构建了全新的定量FAPAR反演模型，并分析了太阳天顶角、LAI、土壤背景等因素与FAPAR的关系。与蒙特卡罗模拟结果的对比和用地面实测数据的验证表明该模型拥有较高的精度。选择甘肃张掖盈科灌区为研究区，利用PROBA-CHRIS高光谱多角度数据反演得到了LAI和FAPAR，并用同步观测数据验证了反演结果。

关键词: FAPAR, 定量模型, 遥感反演

FAPAR (Fraction of Absorbed Photosynthetically Active Radiation) is an important parameter for remote sensing monitoring plants net primary productivity (NPP) of land ecosystem. It is crucial that the calculated value approximates the actual value of canopy absorbed photosynthetically active radiation. The calculation accuracy directly influences the estimation of NPP and carbon cycle. The model in this paper is derived by analyzing the interaction processes between the photons and the canopy. It considers parameters like soil reflectance, canopy structure and solar zenith angle, etc. The relationship between these parameters and FAPAR is analyzed. The comparison results with Monte Carlo simulations and the validation results using field measurements prove the model to be accurate. We further choose Yingke, Zhangye City, Gansu province as study area, and retrieve LAI and FAPAR from hyperspectral and multi-angle PROBA-CHIRIS. Field data is also used to validate the retrieval result.

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Key words: FAPAR, Quantitative model, Remote sensing retrieval

中图分类号:

TP79
P422

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