基于新型机载多角度传感器AMTIS的LAI反演

doi:10.6046/gtzyyg.2003.04.03

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摘要

以实地测量数据为先验知识,利用AMTIS数据对顺义地区的一块小麦地进行了叶面积指数(LAI)反演实验研究,并用实地LAI数据进行了验证。通过利用实测数据作为模型参数,以及对干湿土壤分类和匹配表的调整,使反演结果和反演速度得到了提高。

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Abstract：

Leaf area index (LAI) is an important biophysical parameter, and remote sensing provides the probability for the LAIretrieval. LAIinversion based on the model is the main orientation of the LAIretrieval, and the multi-angle data are important parameters in the model-based inversion. The new airborne multi-angle sensor AMTIScan obtain the simultaneous multi-angle and high-resolution data. Using the AMTISdata based on the three-dimensional radiative transfer model, an inversion experiment on a wheat field in Shunyi was carried out on the basis of the AMTISmulti-angle data and the prior information. And the result was verified with the measured LAIdata. The inversion precision and rate were improved by adjusting the soil classification and the matching table. The main errors in the process of inversion are also analyzed in this paper.

收稿日期: 2003-03-10 出版日期: 2011-08-02

基金资助:

国家重点基础研究发展规划973项目(2000077906);加拿大援助CIDA项目。

作者简介: 周宇宇(1979-),男,2001年毕业于北京师范大学资源与环境科学系,现就读于北京师范大学遥感中心硕士研究生,主要研究方向为遥感与地理信息系统.

引用本文:

周宇宇, 唐世浩, 朱启疆, 阎广建. 基于新型机载多角度传感器AMTIS的LAI反演[J]. 国土资源遥感, 2003, 15(4): 9-12，21.
ZHOU Yu-yu, TANG Shi-hao, ZHU Qi-jiang, YAN Guang-jian. LAI RETRIEVAL BASED ON THE NEW AIRBORNE MULTI-ANGLE SENSOR AMTIS. REMOTE SENSING FOR LAND & RESOURCES, 2003, 15(4): 9-12，21.

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https://www.gtzyyg.com/CN/10.6046/gtzyyg.2003.04.03 或 https://www.gtzyyg.com/CN/Y2003/V15/I4/9

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