Knowledge Resource Center for Ecological Environment in Arid Area
DOI | 10.1016/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
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ISSN | 0034-4257 |
EISSN | 1879-0704 |
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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