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Vegetation plays an important role in the exchange of carbon dioxide, water, and energy between the land surface and the atmosphere. LAI, defined as one-half the total green leaf area per unit of grou...
LAI (Leaf Area Index) is the more important parameter of vegetation canopy, which can depict their growth course. So LAI inversion from remote sensing observations is the hot study field, especially f...
Light Detection and Ranging (LiDAR) has been used to extract surface information as it can acquire highly accurate object shape characteristics using geo-registered 3D-points. Therefore, LiDAR can be ...
The CYCLOPES project aims at providing high level biophysical products such as LAI, fAPAR, fCover over the globe at 1 km spatial resolution at a 10 days time interval. To provide continuity over long...
Ground measurements of photosynthetically active radiation (PAR) balance and leaf area index (LAI) are required for validating, and sometimes calibrating biophysical products derived from satellite ...
The CYCLOPES project aims at providing high level biophysical products such as LAI, fAPAR, fCover over the globe at 1 km spatial resolution at a 10 days time interval. To provide continuity over long...
Leaf area index (LAI) is a key variable for the understanding and modelling of several eco-physiological processes within a vegetation canopy. The LAI could thus provide vital information for the man...
MODIS LAI product has been increasingly important for analyzing the process and productivity of terrestrial ecosystems at global scale. This study was aimed to assess the quality of global MODIS LAI p...
Many parameters, such as albedo, vegetation index and leaf area index (LAI) inversed from satellite images, often get saturated when the surface vegetation cover reaches a certain high level. In order...
The estimation of crop phenology is necessary to grasp the water use of irrigated farmlands. To estimate the crop phenology, time-series patterns of Leaf Area Index (LAI) are considered effective. A m...

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