水稻多组分双向反射模型的研究

应用生态学报 ›› 2003, Vol. ›› Issue (3): 394-398.

水稻多组分双向反射模型的研究

申广荣^1,2, 王人潮²

1. 上海交通大学农业生态学院, 上海 201113;
2. 浙江大学农业遥感与信息技术应用研究所, 杭州 310029

收稿日期:2001-01-15 修回日期:2001-06-18
通讯作者: 申广荣,女,1965年生,博士生,副教授,主要从事植被遥感、农业信息技术应用等研究,发表论文20余篇.Tel:021-64786149;E-mail:shenguangrong@163.net.
基金资助:
国家自然科学基金资助项目(4017106540271078)

A study on multicomponent bidirectional reflectance model for rice

SHEN Guangrong^1,2, WANG Rencao²

1. School of Agriculture and Biology, Shanghai Jiaotong University, Shanghai 201101, China;
2. Institute of Agricultural Remote Sensing and Information Application, Zhejiang University, Hangzhou 310029, China

Received:2001-01-15 Revised:2001-06-18

摘要/Abstract

摘要： 利用1999～2000年的水稻田间试验实测光谱数据,对水稻不同生长期特性建立的水稻多组分双向反射模型进行了一些主要因子的敏感性分析及模型模拟值与实测值的比较分析.结果表明,考虑水稻冠层叶、茎干、穗等作用及水稻不同生长期特点的水稻多组分双向反射模型,能较好地反映水稻多组分反射光谱的角度分布特征,较准确地模拟水稻不同条件下水稻的自然方向反射系数和冠层“热点”效应的非对称性分布.得到了薄层水体和土壤背景的一次反射辐射以及在冠层内部、薄层水体和土壤表面相互间的多次反射辐射随水稻各组分平均倾角的变化规律,冠层双向反射率随叶面积指数LAI的变化特征.

关键词: 多角度遥感, 多组分双向反射模型, 叶面积指数, 水稻, 沉积物, 成岩状态, 氨基酸, 微生物, 颗粒物

Abstract: In this paper, the bidirectional reflectance factor (BRF) of rice measured in field experiment in1999 and 2000 was compared with the BRFcomputed from the rice multicomponent bidirectional reflectance model that based on the radiative transfer theory, rice canopy geometric structural factors and different characteristics of the different growth period for rice in detail. The contribution of some sensitive factors such as the average inclination angle of all components belonged to rice and LAIwas accurately specified. The results showedthat the rice multicomponent bidirectional reflectance model described above could basically simulate the angular distribution characteristic of reflectance spectrum of rice canopies, and the different peak point of the hotspot effect of rice canopies reached under different conditions. In addition, the regulation of the first order scattering reflectance by soil and water and the multiple scattering reflectance by foliage, stem, fringe and soil changing with the average inclination angle of all components, as well as the contribution of LAIto BRFwere analyzed. All of these laid a foundation to monitor rice growth and estimate its yield. Meanwhile, it also implied that some rice canopy parameters could be accurately estimated by the model through selecting the suitable image bands.

Key words: Multiangle remote sensing, Multicomponent bidirectional reflectance distribution model, Leaf area index, Rice, sediment, particulate matter, microorganism, diagenetic state., amino acid

中图分类号:

申广荣, 王人潮. 水稻多组分双向反射模型的研究[J]. 应用生态学报, 2003, (3): 394-398.

SHEN Guangrong, WANG Rencao. A study on multicomponent bidirectional reflectance model for rice[J]. Chinese Journal of Applied Ecology, 2003, (3): 394-398.

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