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An overview of global leaf area index (LAI): Methods, products, validation, and applications
Leaf area index (LAI) is a critical vegetation structural variable and is essential in the
feedback of vegetation to the climate system. The advancement of the global Earth …
feedback of vegetation to the climate system. The advancement of the global Earth …
Optical remote sensing of forest leaf area index and biomass
Forests are the most complex terrestrial ecosystem on Earth's land surface, providing vital
goods and services upon which the welfare of humanity depends. The quantification of …
goods and services upon which the welfare of humanity depends. The quantification of …
Use of general regression neural networks for generating the GLASS leaf area index product from time-series MODIS surface reflectance
Leaf area index (LAI) products at regional and global scales are being routinely generated
from individual instrument data acquired at a specific time. As a result of cloud contamination …
from individual instrument data acquired at a specific time. As a result of cloud contamination …
Observations of increased tropical rainfall preceded by air passage over forests
Vegetation affects precipitation patterns by mediating moisture, energy and trace-gas fluxes
between the surface and atmosphere. When forests are replaced by pasture or crops …
between the surface and atmosphere. When forests are replaced by pasture or crops …
Reprocessing the MODIS Leaf Area Index products for land surface and climate modelling
Land surface and climate modelling requires continuous and consistent Leaf Area Index
(LAI). High spatiotemporal resolution and long-time record data are more in demand …
(LAI). High spatiotemporal resolution and long-time record data are more in demand …
Validation and intercomparison of global Leaf Area Index products derived from remote sensing data
This study investigates the performances of four major global Leaf Area Index (LAI) products
at 1/11.2° spatial sampling and a monthly time step: ECOCLIMAP climatology …
at 1/11.2° spatial sampling and a monthly time step: ECOCLIMAP climatology …
Remote sensing detection of droughts in Amazonian forest canopies
Remote sensing data are a key tool to assess large forested areas, where limitations such
as accessibility and lack of field measurements are prevalent. Here, we have analysed …
as accessibility and lack of field measurements are prevalent. Here, we have analysed …
Characterization and intercomparison of global moderate resolution leaf area index (LAI) products: Analysis of climatologies and theoretical uncertainties
Leaf area index (LAI) is a critical variable for land surface and climate modeling studies.
Several global LAI products exist, and it is important to know how these products perform …
Several global LAI products exist, and it is important to know how these products perform …
Assessment of the MODIS global evapotranspiration algorithm using eddy covariance measurements and hydrological modelling in the Rio Grande basin
Remote sensing is considered the most effective tool for estimating evapotranspiration (ET)
over large spatial scales. Global terrestrial ET estimates over vegetated land surfaces are …
over large spatial scales. Global terrestrial ET estimates over vegetated land surfaces are …
Analysis and optimization of the MODIS leaf area index algorithm retrievals over broadleaf forests
Broadleaf forest is a major type of Earth's land cover with the highest observable vegetation
density. Retrievals of biophysical parameters, such as leaf area index (LAI), of broadleaf …
density. Retrievals of biophysical parameters, such as leaf area index (LAI), of broadleaf …