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基于高光谱数据提取土壤养分信息的研究进展
引用本文:祁亚琴,吕新,邵玉林,冯波,陈剑,李新伟,张泽.基于高光谱数据提取土壤养分信息的研究进展[J].中国农学通报,2014,30(12):28-31.
作者姓名:祁亚琴  吕新  邵玉林  冯波  陈剑  李新伟  张泽
作者单位:1. 石河子大学2. 石河子大学/新疆兵团绿洲生态农业重点实验室3. 石河子国家农业科技园区
基金项目:棉花规模化生产精准作业技术与装备
摘    要:主要综述了利用高光谱遥感技术提取土壤养分信息的研究进展,论述了当前国内外学者通过高光谱遥感技术获取土壤养分信息的研究现状、存在的问题以及应用前景展望。旨在探索新疆绿洲农区如何应用高光谱遥感技术,分析、模拟、评价、预测土壤养分含量,促进高光谱遥感技术在田间农情监测、土壤诊断、水肥分区管理、作物科学种植中的应用,为新疆及兵团实施精准农业提供科学理论参考。

关 键 词:白菜  白菜  抽薹  主基因-多基因  遗传  
收稿时间:2013/11/1 0:00:00
修稿时间:2013/12/6 0:00:00

Research Progress on Soil Nutrient Information Extraction Based on Hyperspectral Remote Sensing Data
Qi Yaqin,Lv Xin,Shao Yulin,Feng Bo,Chen Jian,Li Xinwei,Zhang Ze.Research Progress on Soil Nutrient Information Extraction Based on Hyperspectral Remote Sensing Data[J].Chinese Agricultural Science Bulletin,2014,30(12):28-31.
Authors:Qi Yaqin  Lv Xin  Shao Yulin  Feng Bo  Chen Jian  Li Xinwei  Zhang Ze
Institution:1Shihezi University/The Oasis Key Laboratory of Ecological Agriculture of Xinjiang, Shihezi Xinjiang 832003; 2School of Earth and Space Sciences, Peking UniversityInstitute of Remote Sensing Remote Sensing Laboratory, Beijing 100000; 3Shihezi National Agricultural Science and Technology Park, Shihezi Xinjiang 832000)
Abstract:This paper mainly used hyperspectral remote sensing techniques to extract information progress of soil characteristics, discussed the current domestic and foreign scholars research hyperspectral remote sensing technology to obtain soil information, problems and outlook. Studies showed that: the application of hyperspectral remote sensing technology in terms of analysis, simulation, evaluation and prediction of soil characteristic parameters promoted the usage of hyperspectral remote sensing technology in the process of remote sensing diagnosis of farmland soil, offering technical support in space distribution monitoring and the management of water and fertilization. Meanwhile the course of quantitative evaluation research was promoted and the application of remote sensing technology in scientific crop plantation and crop condition monitoring was realized. This, therefore, it provided precision agriculture in Xinjiang with scientific evidence.
Keywords:research progress
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