| 中国北方草地覆被的HJ星NDVI校正研究 |
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| 引用本文： | 刘睿,孙九林,张金区,王卷乐,廖秀英.中国北方草地覆被的HJ星NDVI校正研究[J].草业学报,2011,20(1):189-198. |
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| 作者姓名： | 刘睿 孙九林 张金区 王卷乐 廖秀英 |
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| 作者单位： | 1.资源与环境信息系统国家重点实验室 中国科学院地理科学与资源研究所,北京 100101;2.重庆师范大学地理科学学院,重庆 400047;3.中国科学院研究生院,北京 100049 |
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| 基金项目： | 国家自然科学基金，国家科技基础性工作专项 |
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| 摘 要： | NDVI时间序列数据已经得到了广泛应用。中国的环境与灾害监测预报小卫星(HJ星)装载的4部CCD传感器能够满足在中国及其周边地区植被动态监测时间与空间分辨率两方面的需求,基于其建立的NDVI时间序列产品对于研究该区域的植被变化状况具有重要意义。然而波段的差异对不同传感器获取的NDVI具有非常显著的影响。本研究立足于对HJ星4部CCD传感器以及LandSat卫星TM、ETM+传感器的波段分析,利用同时相遥感影像对获取并推算6部传感器NDVI在中国北方中温带干旱半干旱草地的NDVI交叉校正系数,并通过野外实测光谱数据计算等效NDVI对研究结果进行验证。结果表明,HJ星4部CCD传感器间获取的NDVI差异能够达到5%,本研究中得到的传感器间NDVI交叉校正系数能够将该差异有效减小到2%以内。同时证明了传感器中心波长对NDVI的影响大于波段宽度对NDVI的影响。
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| 关 键 词： | NDVI时间序列 环境与灾害监测预报小卫星 波段差异分析 NDVI交叉校正 中温带干旱半干旱草地 |
| 收稿时间： | 1900-01-01; |
HJ NDVI cross-calibration for grassland in Northern China |
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| LIU Rui,SUN Jiu-lin,ZHANG Jin-qu,WANG Juan-le,LIAO Xiu-ying.HJ NDVI cross-calibration for grassland in Northern China[J].Acta Prataculturae Sinica,2011,20(1):189-198. |
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| Authors: | LIU Rui SUN Jiu-lin ZHANG Jin-qu WANG Juan-le LIAO Xiu-ying |
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| Institution: | 1.State Key Laboratory of Resources and Environmental Information Systems, Institute of Geographical Sciences and Natural Resources Research, Chinese Academy of Sciences, Beijing 100101, China; 2.College of Geographical Science, Chongqing Normal University, Chongqing 400047, China; 3.Graduate University of Chinese Academy of Sciences, Beijing 100049, China |
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| Abstract: | The time series are being widely used.The Chinese HJ satellites which loaded 4 CCD sensors are capable of providing high spatial and temporal resolution observation data,which can establish the NDVI time series for environmental monitoring,disaster control and resources investigation,provide great opportunities for researches around China and its neighbouring areas.However,the band differences between sensors can significantly affect the NDVI accuracy.This paper based on band analysis of the 4 HJ CCD sensor... |
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| Keywords: | NDVI time series HJ satellites band difference analysis NDVI cross-calibration mid-temperate arid and semi-arid grassland |
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