Arid
DOI10.1016/j.rse.2008.07.013
Generating vegetation leaf area index Earth system data record from multiple sensors. Part 2: Implementation, analysis and validation
Ganguly, Sangram1; Samanta, Arindam1; Schull, Mitchell A.1; Shabanov, Nikolay V.2; Milesi, Cristina3; Nemani, Ramakrishna R.3; Knyazikhin, Yuri1; Myneni, Ranga B.1
通讯作者Ganguly, Sangram
来源期刊REMOTE SENSING OF ENVIRONMENT
ISSN0034-4257
EISSN1879-0704
出版年2008
卷号112期号:12页码:4318-4332
英文摘要

The evaluation of a new global monthly leaf area index (LAI) data set for the period July 1981 to December 2006 derived from AVHRR Normalized Difference Vegetation Index (NDVI) data is described. The physically based algorithm is detailed in the first of the two part series. Here, the implementation, production and evaluation of the data set are described. The data set is evaluated both by direct comparisons to ground data and indirectly through inter-comparisons with similar data sets. This indirect validation showed satisfactory agreement with existing LAI products, importantly MODIS, at a range of spatial scales, and significant correlations with key climate variables in areas where temperature and precipitation limit plant growth. The data set successfully reproduced well-documented spatio-temporal trends and inter-annual variations in vegetation activity in the northern latitudes and semi-arid tropics. Comparison with plot scale field measurements over homogeneous vegetation patches indicated a 7% underestimation when all major vegetation types are taken into account. The error in mean values obtained from distributions of AVHRR LAI and high-resolution field LAI maps for different biomes is within 0.5 LAI for six out of the ten selected sites. These validation exercises though limited by the amount of field data, and thus less than comprehensive, indicated satisfactory agreement between the LAI product and field measurements. Overall, the inter-comparison with short-term LAI data sets, evaluation of long term trends with known variations in climate variables, and validation with field measurements together build confidence in the utility of this new 26 year LAI record for long term vegetation monitoring and modeling studies. (C) 2008 Elsevier Inc. All rights reserved.


英文关键词Leaf area index Validation Accuracy Climate data Long term data record AVHRR LAI MODIS LAI CYCLOPES Spectral invariants Recollision probability Radiative transfer Scaling Single scattering albedo Data uncertainties
类型Article
语种英语
国家USA
收录类别SCI-E
WOS记录号WOS:000260942500011
WOS关键词CYCLOPES GLOBAL PRODUCTS ; LAND-SURFACE ; PHOTOSYNTHETIC TRENDS ; SPOT-VEGETATION ; SATELLITE DATA ; AFRICAN SAHEL ; WHITE SPRUCE ; LAI PRODUCTS ; NDVI DATA ; MODIS
WOS类目Environmental Sciences ; Remote Sensing ; Imaging Science & Photographic Technology
WOS研究方向Environmental Sciences & Ecology ; Remote Sensing ; Imaging Science & Photographic Technology
资源类型期刊论文
条目标识符http://119.78.100.177/qdio/handle/2XILL650/159048
作者单位1.Boston Univ, Dept Geog & Environm, Boston, MA 02215 USA;
2.NOAA NEDIS, Camp Springs, MD 20746 USA;
3.NASA, Ames Res Ctr, Ecosyst Sci & Technol Branch, Moffett Field, CA 94035 USA
推荐引用方式
GB/T 7714
Ganguly, Sangram,Samanta, Arindam,Schull, Mitchell A.,et al. Generating vegetation leaf area index Earth system data record from multiple sensors. Part 2: Implementation, analysis and validation[J],2008,112(12):4318-4332.
APA Ganguly, Sangram.,Samanta, Arindam.,Schull, Mitchell A..,Shabanov, Nikolay V..,Milesi, Cristina.,...&Myneni, Ranga B..(2008).Generating vegetation leaf area index Earth system data record from multiple sensors. Part 2: Implementation, analysis and validation.REMOTE SENSING OF ENVIRONMENT,112(12),4318-4332.
MLA Ganguly, Sangram,et al."Generating vegetation leaf area index Earth system data record from multiple sensors. Part 2: Implementation, analysis and validation".REMOTE SENSING OF ENVIRONMENT 112.12(2008):4318-4332.
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