姚云军, 秦其明, 张自力, 李百寿. 高光谱技术在农业遥感中的应用研究进展[J]. 农业工程学报, 2008, 24(7): 301-306.
    引用本文: 姚云军, 秦其明, 张自力, 李百寿. 高光谱技术在农业遥感中的应用研究进展[J]. 农业工程学报, 2008, 24(7): 301-306.
    Yao Yunjun, Qin qiming, Zhang Zili, Li Baishou. Research progress of hyperspectral technology applied in agricultural remote sensing[J]. Transactions of the Chinese Society of Agricultural Engineering (Transactions of the CSAE), 2008, 24(7): 301-306.
    Citation: Yao Yunjun, Qin qiming, Zhang Zili, Li Baishou. Research progress of hyperspectral technology applied in agricultural remote sensing[J]. Transactions of the Chinese Society of Agricultural Engineering (Transactions of the CSAE), 2008, 24(7): 301-306.

    高光谱技术在农业遥感中的应用研究进展

    Research progress of hyperspectral technology applied in agricultural remote sensing

    • 摘要: 高光谱技术的研究与应用是农业遥感领域重要前沿课题之一。该文回顾了高光谱技术在国内外农业遥感中的应用研究进展,概括和总结了作物叶片光谱特征、作物分类与识别、作物生态物理参数反演与提取、作物养分诊断与监测、作物长势监测与产量预测、农业遥感信息模型以及农业灾害监测7个主要研究方面。在此基础上,笔者指出了高光谱技术在农业遥感中尚需解决的关键问题,并提出了可能的解决途径。最后对高光谱技术在农业遥感中的应用前景作出了总结和展望。

       

      Abstract: The research and application of hyperspectral technology are the challenging task in agricultural remote sensing. This paper describes the development and progress of the application of hyperspectral technology in agricultural remote sensing, as well as summarizes the seven aspects including the study of spectral characteristics of crop leaves, crop classification and identification, inversion and extraction of crop bio-physical parameters, crop nutrient diagnosis, crop growth monitoring and yield prediction, agricultural remote sensing models and agricultural disaster monitoring. The unresolved problems of hyperspectral technology applied in agricultural remote sensing are pointed out in the paper and the corresponding countermeasures are put forward. At last a prospect of the application of hyperspectral technology in agricultural remote sensing was analyzed.

       

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