Based on light-use efficiency model, an MODIS-derived daily net primary production (NPP) model was developed. In this model, a new model for the fraction of photosynthetically active radiation absorbed by vegetation (FPAR) is developed based on leaf area index (LAI) and albedo parameters, and a photosynthetically active radiation (PAR) is calculated from the combination of Bird's model with aerosol optical thickness and water vapor derived from cloud free MODIS images. These two models are integrated into our predicted NPP model, whose most parameters are retrieved from MODIS data. In order to validate our NPP model, the observed NPP in the Qianyanzhou station and the Changbai Mountains station are used to compare with our predicted NPP, sh...
The application of remote sensing in the study of terrestrial productivity opens up an effective way...
Accurate quantification of the spatio-temporal variation of gross primary production (GPP) for terre...
Algorithms that use remotely-sensed vegetation indices to estimate gross primary production (GPP), a...
Estimates of regional net primary productivity (NPP) are very useful in modeling regional and global...
Abstract. Forest canopies are composed of photosynthetically active vegetation (PAV, chloroplasts) a...
Absircicl. Forest canopies are composed of photosynthetically active vegetation (PAV, chloroplasts) ...
Gross primary productivity (GPP) is a major component of carbon exchange between the atmosphere and ...
The application of remote sensing in the study of terrestrial ecosystem opens up an effective way fo...
The Moderate Resolution Imaging Radiometer (MODIS) is the primary instrument in the NASA Earth Obser...
Photosynthetically active radiation (PAR), known as solar radiation available for photosynthesis, re...
Accurately estimating vegetation productivity is important in research on terrestrial ecosystems, ca...
Estimates of daily gross primary production (GPP) and annual net primary production (NPP) at the 1 k...
We modeled net primary productivity (NPP) at high spatial resolution using an advanced spaceborne th...
The eddy covariance technique provides measurements of net ecosystem exchange (NEE) Of CO2 between t...
AbstractTerrestrial carbon cycle plays an important role in global climate change. As a key componen...
The application of remote sensing in the study of terrestrial productivity opens up an effective way...
Accurate quantification of the spatio-temporal variation of gross primary production (GPP) for terre...
Algorithms that use remotely-sensed vegetation indices to estimate gross primary production (GPP), a...
Estimates of regional net primary productivity (NPP) are very useful in modeling regional and global...
Abstract. Forest canopies are composed of photosynthetically active vegetation (PAV, chloroplasts) a...
Absircicl. Forest canopies are composed of photosynthetically active vegetation (PAV, chloroplasts) ...
Gross primary productivity (GPP) is a major component of carbon exchange between the atmosphere and ...
The application of remote sensing in the study of terrestrial ecosystem opens up an effective way fo...
The Moderate Resolution Imaging Radiometer (MODIS) is the primary instrument in the NASA Earth Obser...
Photosynthetically active radiation (PAR), known as solar radiation available for photosynthesis, re...
Accurately estimating vegetation productivity is important in research on terrestrial ecosystems, ca...
Estimates of daily gross primary production (GPP) and annual net primary production (NPP) at the 1 k...
We modeled net primary productivity (NPP) at high spatial resolution using an advanced spaceborne th...
The eddy covariance technique provides measurements of net ecosystem exchange (NEE) Of CO2 between t...
AbstractTerrestrial carbon cycle plays an important role in global climate change. As a key componen...
The application of remote sensing in the study of terrestrial productivity opens up an effective way...
Accurate quantification of the spatio-temporal variation of gross primary production (GPP) for terre...
Algorithms that use remotely-sensed vegetation indices to estimate gross primary production (GPP), a...