基于MODIS和Landsat的青藏高原两代GIMMS NDVI性能评价

被引：8

作者：

杜加强 ^{[1
,2
]}

王跃辉 ^{[3
]}

师华定 ^{[1
,2
]}

房世峰 ^{[4
]}

何萍 ^{[1
,2
]}

刘伟玲 ^{[1
,2
]}

阴俊齐 ^{[5
]}

机构：

[1] 中国环境科学研究院

[2] 中国环境科学研究院环境基准与风险评估国家重点实验室

[3] 中国人民解放军边防学院

[4] 中国科学院地理科学与资源研究所资源与环境信息系统国家重点实验室

[5] 新疆环境保护科学研究院

来源：

农业工程学报 | 2016年 / 32卷 / 22期

关键词：

遥感; 植被; 像元; GIMMS NDVIg; GIMMS NDVI3g;

D O I：

暂无

中图分类号：

Q948.1 [植物生态学];

学科分类号：

071012 ; 0713 ;

摘要：

由于AVHRR NDVI数据集本质上具有动态变化的特点,使得数据重叠时段(1981-2006年)的第1代GIMMS NDVIg(简称NDVIg)数据集与第3代GIMMS NDVI3g(简称NDVI3g)数据集也不完全相同。如何理解、对待这些差异,是综合利用两代数据集的研究成果、科学客观地评估地表植被历史变化状况、预测未来变化趋势、指导生态保护与建设工作的前提和基础。该文利用MODIS NDVI和Landsat数据,评估了青藏高原两代GIMMS数据集的性能,并对比分析了区域尺度和像元尺度两代数据集在监测植被长期动态变化方面的异同。结果表明,NDVI3g捕获植被物候变化的能力与NDVIg相当,但NDVI数值明显大于NDVIg,甚至大于MODIS NDVI;与NDVI3g相比,在NDVI分布格局和动态变化方面,NDVIg与MODIS NDVI和Landsat更为相似;尽管两代GIMMS数据集1982-2006年生长季NDVI变化趋势类似,但GIMMS NDVIg倾向于检测到更多的显著变化区域;夏季和秋季的结果与生长季类似,但春季GIMMS NDVI3g则检测到了更大范围的NDVI显著增加,与NDVIg结果的差异主要集中在青藏高原腹地。NDVI数据集是众多生态模型的基础数据,NDVI数据集之间的差异可能会导致模拟结果出现偏差。在使用NDVI数据之前,对NDVI数据的适用性进行评估,是获取更符合当地实际情况、更为客观真实结果的前提。

引用

页码：192 / 199+316 +316

页数：9

共 36 条

[1]

A Non-Stationary 1981–2012 AVHRR NDVI3g Time Series.[J].Jorge E. Pinzon;Compton J. Tucker.Remote Sensing.2014, 8

[2]

Spatial and temporal variations in the end date of the vegetation growing season throughout the Qinghai–Tibetan Plateau from 1982 to 2011.[J].Mingliang Che;Baozhang Chen;John L. Innes;Guangyu Wang;Xianming Dou;Tianmo Zhou;Huifang Zhang;Jianwu Yan;Guang Xu;Hongwei Zhao.Agricultural and Forest Meteorology.2014,

[3]

The impact of climate change and anthropogenic activities on alpine grassland over the Qinghai-Tibet Plateau.[J].Baoxiong Chen;Xianzhou Zhang;Jian Tao;Jianshuang Wu;Jingsheng Wang;Peili Shi;Yangjian Zhang;Chengqun Yu.Agricultural and Forest Meteorology.2014,

[4] Evaluating and Quantifying the Climate-Driven Interannual Variability in Global Inventory Modeling and Mapping Studies (GIMMS) Normalized Difference Vegetation Index (NDVI3g) at Global Scales [J].

Zeng, Fan-Wei ;

Collatz, G. James ;

Pinzon, Jorge E. ;

Ivanoff, Alvaro .

REMOTE SENSING, 2013, 5 (08) :3918-3950

[5]

A Comparative Analysis between GIMSS NDVIg and NDVI3g for Monitoring Vegetation Activity Change in the Northern Hemisphere during 1982–2008.[J].Deqin Fan;Guangsheng Chen;Zhoutao Zheng;Nan Jiang;Wenquan Zhu.Remote Sensing.2013, 8

[6] Green-up dates in the Tibetan Plateau have continuously advanced from 1982 to 2011 [J].

Zhang, Geli ;

Zhang, Yangjian ;

Dong, Jinwei ;

Xiao, Xiangming .

PROCEEDINGS OF THE NATIONAL ACADEMY OF SCIENCES OF THE UNITED STATES OF AMERICA, 2013, 110 (11) :4309-4314

[7]

Temperature and vegetation seasonality diminishment over northern lands.[J].L. Xu;R. B. Myneni;F. S. Chapin III;T. V. Callaghan;J. E. Pinzon;C. J. Tucker;Z. Zhu;J. Bi;P. Ciais;H. Tømmervik;E. S. Euskirchen;B. C. Forbes;S. L. Piao;B. T. Anderson;S. Ganguly;R. R. Nemani;S. J. Goetz;P. S. A. Beck;A. G. Bunn;C. Cao;J. C. Stroeve.Nature Climate Change.2013, 6

[8] Global Data Sets of Vegetation Leaf Area Index (LAI)3g and Fraction of Photosynthetically Active Radiation (FPAR)3g Derived from Global Inventory Modeling and Mapping Studies (GIMMS) Normalized Difference Vegetation Index (NDVI3g) for the Period 1981 to 2011 [J].

Zhu, Zaichun ;

Bi, Jian ;

Pan, Yaozhong ;

Ganguly, Sangram ;

Anav, Alessandro ;

Xu, Liang ;

Samanta, Arindam ;

Piao, Shilong ;

Nemani, Ramakrishna R. ;

Myneni, Ranga B. .

REMOTE SENSING, 2013, 5 (02) :927-948

[9]

Integrating AVHRR and MODIS data to monitor NDVI changes and their relationships with climatic parameters in Northeast China.[J].Dehua Mao;Zongming Wang;Ling Luo;Chunying Ren.International Journal of Applied Earth Observations and Geoinformation.2011,

[10]

Generation of a novel 1<ce:hsp sp="0.25"/>km NDVI data set over Canada; the northern United States; and Greenland based on historical AVHRR data.[J].Fabio M.A. Fontana;Nicholas C. Coops;Konstantin V. Khlopenkov;Alexander P. Trishchenko;Michael Riffler;Michael A. Wulder.Remote Sensing of Environment.2012,

← 1 2 3 4 →