LAI3g V1 Geotiff格式数据发布

LAI3g V1 Geotiff格式数据发布

GIMMS LAI3g FAPAR3g V1.0发布。 如需要Geotiff格式文件，请联系作者，qq：2359135648

中国区域的tif格式数据分发地址：

https://pan.baidu.com/disk/home#/all?vmode=list&path=%2FGeoData%2FNDVI3g_V1.0。

Long-term global data sets of vegetation Leaf Area Index (LAI) and Fraction of
Photosynthetically Active Radiation absorbed by vegetation (FPAR) are critical
to monitoring global vegetation dynamics and for modeling exchanges of energy,
mass and momentum between the land surface and planetary boundary layer. LAI
and FPAR are also state variables in hydrological, ecological, biogeochemical
and crop-yield models. The generation, evaluation and an example case study
documenting the utility of 30-year long data sets of LAI and FPAR are described
in this article. A neural network algorithm was first developed between the new
improved third generation Global Inventory Modeling and Mapping Studies (GIMMS)
Normalized Difference Vegetation Index (NDVI3g) and best-quality Terra Moderate
Resolution Imaging Spectroradiometer (MODIS) LAI and FPAR products for the
overlapping period 2000–2009. The trained neural network algorithm was then
used to generate corresponding LAI3g and FPAR3g datasets with the following
attributes: 15-day temporal frequency, 1/12 degree spatial resolution and
temporal span of July 1981 to December 2011. The quality of these data sets for
scientific research in other disciplines was assessed through (a) comparisons
with field measurements scaled to the spatialresolution of the data products,
(b) comparisons with broadly-used existing alternate satellite data-based
products, © comparisons to plant growth limiting climatic variables in the
northern latitudes and tropical regions, and (d) correlations of dominant modes
of interannual variability with large-scale circulation anomalies such as the
EI Niño-Southern Oscillation and Arctic Oscillation. These assessment efforts
yielded results that attested to the suitability of these data sets for research
use in other disciplines. The utility of these data sets is documented by
comparing the seasonal profiles of LAI3g with profiles from 18 state-of-the-art
Earth System Models: the models consistently overestimated the satellite-based
estimates of leaf area and simulated delayed peak seasonal values in the
northern latitudes, a result that is consistent with previous evaluations of
similar models with ground-based data.

参考文献：
Zhu, Z.; Bi, J.; Pan, Y.; Ganguly, S.; Anav, A.; Xu, L.;Samanta, A.; Piao, S.;
Nemani, R.R.; Myneni, R.B. 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. Remote Sens. 2013, 5, 927-948.