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高光谱技术在农业遥感中的应用研究进展
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
作者姓名:姚云军  秦其明  张自力  李百寿
作者单位:北京大学遥感与GIS研究所,北京,100871
基金项目:国家自然科学基金资助项目
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.

关 键 词:高光谱  农业遥感  应用进展
收稿时间:2007-08-29
修稿时间:2008-04-24

Research progress of hyperspectral technology applied in agricultural remote sensing
Yao Yunjun,Qin qiming,Zhang Zili and Li Baishou. Research progress of hyperspectral technology applied in agricultural remote sensing[J]. Transactions of the Chinese Society of Agricultural Engineering, 2008, 24(7): 301-306
Authors:Yao Yunjun  Qin qiming  Zhang Zili  Li Baishou
Affiliation:Institute of Remote Sensing and GIS, Peking University, Beijing 100871, China,Institute of Remote Sensing and GIS, Peking University, Beijing 100871, China,Institute of Remote Sensing and GIS, Peking University, Beijing 100871, China and Institute of Remote Sensing and GIS, Peking University, Beijing 100871, China
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.
Keywords:hyperspectral   agricultural remote sensing   progress of application
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