| 作物长势遥感监测指标的改进与比较分析 |
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| 引用本文： | 赵 虎,杨正伟,李 霖,狄黎平.作物长势遥感监测指标的改进与比较分析[J].农业工程学报,2011,27(1):243-249. |
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| 作者姓名： | 赵 虎 杨正伟 李 霖 狄黎平 |
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| 作者单位： | 1. 农业部规划设计研究院农业资源监测站，北京 100125;2. National Agricultural Statistics Service, USDA, VA 22030;3. 武汉大学资源与环境科学学院，武汉 430079;4. Center for Spatial Information Science and Systems, GMU, MD 20770 |
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| 基金项目： | NASA资助项目“A National Crop Progress Monitoring System Based on NASA Earth Science Result” |
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| 摘 要： | 为改善归一化植被指数（NDVI）作为遥感监测作物长势指标的性能，该文分析了归一化植被指数的内在设计缺陷，在不增加额外波段的情况下，以近红外波段和红色波段为基础引入一种新的作物长势遥感监测指标——GRNDVI。通过在像素和区域层次上同其他4种指数进行比较发现：GRNDVI能够改善归一化植被指数在低植被覆盖度时期/地区容易受到作物冠层土壤背景的影响，而在高植被覆盖度时期/地区又容易发生饱和现象的设计缺陷，可以作为遥感监测作物长势过程中替代归一化植被指数的指标。
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| 关 键 词： | 作物，遥感，监测，指标，NDVI，GRNDVI |
| 收稿时间： | 2010/4/20 0:00:00 |
| 修稿时间： | 2010/8/17 0:00:00 |
Improvement and comparative analysis of indices of crop growth condition monitoring by remote sensing |
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| Zhao Hu,Yang Zhengwei,Li Lin and Di Liping.Improvement and comparative analysis of indices of crop growth condition monitoring by remote sensing[J].Transactions of the Chinese Society of Agricultural Engineering,2011,27(1):243-249. |
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| Authors: | Zhao Hu Yang Zhengwei Li Lin and Di Liping |
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| Institution: | Zhao Hu1,Yang Zhengwei2,Li Lin3,Di Liping4 (1. Chinese Academy of Agricultural Engineering,Beijing 100125,China,2. National Agricultural Statistics Service,USDA,VA 22030,USA,3. School of Resource and Environmental Science,Wuhan University,Wuhan 430079,4. Center for Spatial Information Science and Systems,GMU,MD 20770,USA) |
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| Abstract: | For improving Normalized Differential Vegetation Index (NDVI), the limitation of NDVI when it was employed as the indicator of crop growth condition monitoring by remote sensing was analyzed in this paper. GRNDVI was promoted as the substitution of NDVI by just using red and near infrared bands. The pixel-level and image-level comparisons between the new index and other four counterparts (NDVI, SR, TDVI and RNDVI) illuminated that GRNDVI could cover the NDVI deficiencies, which meant that NDVI was sensitive to soil background at low vegetation canopy and easy to saturate at highly covered canopy. The results show the potential of using GRNDVI as the indicator of crop growth condition monitoring by remote sensing. |
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| Keywords: | crops remote sensing monitoring index NDVI GRNDVI |
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