| MODIS NDVI和AVHRR NDVI 对草原植被变化监测差异 |
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| 引用本文： | 陈燕丽,龙步菊,潘学标,钟仕全,莫伟华.MODIS NDVI和AVHRR NDVI 对草原植被变化监测差异[J].遥感学报,2011,15(4):831-845. |
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| 作者姓名： | 陈燕丽 龙步菊 潘学标 钟仕全 莫伟华 |
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| 作者单位： | 广西气象减灾研究所,广西 南宁 530022;国家卫星气象中心遥感应用试验基地,广西 南宁 530022;中国农业大学 资源与环境学院农业气象系,北京 100094;中国农业大学 资源与环境学院农业气象系,北京 100094;广西气象减灾研究所,广西 南宁 530022;国家卫星气象中心遥感应用试验基地,广西 南宁 530022;广西气象减灾研究所,广西 南宁 530022;国家卫星气象中心遥感应用试验基地,广西 南宁 530022 |
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| 基金项目： | 国家自然科学基金项目 (编号：40575056)；广西科学研究与技术开发计划项目(编号：桂科攻0816006-8)；广西自然科学基金项目(编号：桂科自0991207) |
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| 摘 要： | 以草地作为研究载体，对比分析草原植被AVHRR NDVI和MODIS NDVI两种NDVI序列的年内、年际变化特征，讨论两种NDVI序列对降水量、平均气温和水汽压3种气候因子的响应差异，为合理选择NDVI序列对植被进行监测研究提供参考。结果表明：(1)两种NDVI序列所反映的草原植被年内变化趋势相似，但MODIS NDVI对各类草原的区分度优于AVHRR NDVI；(2)两种NDVI序列所反映的2000年—2003年草原植被年际变化差异明显。较之于MODIS NDVI，AVHRR NDVI变化趋势分类图表现出更强的植被改善趋势，植被改善面积在AVHRR NDVI变化趋势分类图中占94.25%，在MODIS NDVI中为83.33%；两种NDVI变化趋势分类图反映的植被变化趋势吻合度为52.88%。(3)两种NDVI序列与水汽压、降水量相关性差异显著。MODIS NDVI与各站点平均气温的相关系数均大于GIMMS NDVI；而MODIS NDVI与水汽压的相关系数83%(10个站点)小于GIMMS NDVI，与降水量的相关系数67%(8个站点)小于GIMMS NDVI。
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| 关 键 词： | 植被变化 草原 NDVI MODIS AVHRR |
| 收稿时间： | 2010/3/12 0:00:00 |
| 修稿时间： | 2011/1/20 0:00:00 |
Differences between MODIS NDVI and AVHRR NDVI in monitoring grasslands change |
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| CHEN Yanli,LONG Buju,PAN Xuebiao,ZHONG Shiquan and MO Weihua.Differences between MODIS NDVI and AVHRR NDVI in monitoring grasslands change[J].Journal of Remote Sensing,2011,15(4):831-845. |
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| Authors: | CHEN Yanli LONG Buju PAN Xuebiao ZHONG Shiquan and MO Weihua |
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| Institution: | Guangxi Meteorological Disaster Mitigation Institute, Guangxi Nanning 530022, China;Remote Sensing Application and Validation Base of National Satellite Meteorological Center, Guangxi Nanning 530022, China;College of Resources and Environment; China Agricultural University, Beijing 100094, China;College of Resources and Environment; China Agricultural University, Beijing 100094, China;Guangxi Meteorological Disaster Mitigation Institute, Guangxi Nanning 530022, China;Remote Sensing Application and Validation Base of National Satellite Meteorological Center, Guangxi Nanning 530022, China;Guangxi Meteorological Disaster Mitigation Institute, Guangxi Nanning 530022, China;Remote Sensing Application and Validation Base of National Satellite Meteorological Center, Guangxi Nanning 530022, China |
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| Abstract: | In this paper, with grassland of Xilingol as the research site, the average method, unary linear regression model, correlation
analysis are used to compare the annual and interannual characteristics of NDVI series, including the MODIS NDVI
and the AVHRR NDVI. The precipitation, mean temperature, vapor pressure are taken as climatic variables to compare the relationship
between NDVI series and climatic factors over different types of grasslands. The objective is to provide references for
reasonable use of NDVI series to monitor vegetation changes. The results show that, (1) Annual characteristics of the MODIS
NDVI and the GIMMS NDVI are similar, yet the MODIS NDVI can distinguish each steppe better than that of the GIMMS
NDVI. (2) Different interannual characteristics are observed between MODIS NDVI and GIMMS NDVI of grassland vegetation
during 2000 to 2003. Compared with MODIS NDVI, vegetation increase trend is stronger in GIMMS NDVI change trend classifi
cation image, with a proportion of vegetation increasing area in GIMMS NDVI of 94.25%, while only 83.33% for MODIS
NDVI. Consistency of the two NDVI classifi cation images is only 52.88%. (3) Correlation differences between the two NDVI
series and climatic factors are signifi cant. Correlation coeffi cients between MODIS NDVI and mean temperature are larger than
that of GIMMS NDVI. The proportion of correlation coeffi cients between MODIS NDVI and vapor pressure are lower than that
of GIMMS NDVI with a value of 83% (about 10 meteorological stations). Similar results are also observed for the precipitation
with a proportion of 67% (about 8 meteorological stations). |
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| Keywords: | vegetation change grassland NDVI MODIS AVHRR |
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