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 …
An agenda for land data assimilation priorities: Realizing the promise of terrestrial water, energy, and vegetation observations from space
The task of quantifying spatial and temporal variations in terrestrial water, energy, and
vegetation conditions is challenging due to the significant complexity and heterogeneity of …
vegetation conditions is challenging due to the significant complexity and heterogeneity of …
Global variation in diurnal asymmetry in temperature, cloud cover, specific humidity and precipitation and its association with leaf area index
The impacts of the changing climate on the biological world vary across latitudes, habitats
and spatial scales. By contrast, the time of day at which these changes are occurring has …
and spatial scales. By contrast, the time of day at which these changes are occurring has …
[HTML][HTML] Water availability may not constrain vegetation growth in Northern Hemisphere
C Lai, H Sun, X Wu, J Li, Z Wang, H Tong… - Agricultural Water …, 2024 - Elsevier
With global climate warming, the variability of climate and weather tends to increase driving
the water resources available for vegetation become more uncertain. Therefore, there is still …
the water resources available for vegetation become more uncertain. Therefore, there is still …
Assessment of vegetation indices for regional crop green LAI estimation from Landsat images over multiple growing seasons
There is an increasing need to monitor the dynamics of green LAI of field crops through the
growing season. A simple approach is to use a regression model to estimate crop LAI from a …
growing season. A simple approach is to use a regression model to estimate crop LAI from a …
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 leaf area index models using harmonized landsat and sentinel-2 surface reflectance data over a semi-arid irrigated landscape
Leaf area index (LAI) is an essential indicator of crop development and growth. For many
agricultural applications, satellite-based LAI estimates at the farm-level often require near …
agricultural applications, satellite-based LAI estimates at the farm-level often require near …
Assimilation of the leaf area index and vegetation temperature condition index for winter wheat yield estimation using Landsat imagery and the CERES-Wheat model
Y **e, P Wang, X Bai, J Khan, S Zhang, L Li… - Agricultural and Forest …, 2017 - Elsevier
To improve the accuracy of regional winter wheat yield estimation in the Guanzhong Plain,
China, the field-measured leaf area index (LAI) and soil moisture at the depth of 0–20 cm (θ) …
China, the field-measured leaf area index (LAI) and soil moisture at the depth of 0–20 cm (θ) …
Impact of a satellite-derived leaf area index monthly climatology in a global numerical weather prediction model
The leaf area index (LAI), defined as the one-sided green leaf area per unit ground area, is
used in many numerical weather prediction (NWP) models as an indicator of the vegetation …
used in many numerical weather prediction (NWP) models as an indicator of the vegetation …
Sequential assimilation of satellite-derived vegetation and soil moisture products using SURFEX_v8. 0: LDAS-Monde assessment over the Euro-Mediterranean area
In this study, a global land data assimilation system (LDAS-Monde) is applied over Europe
and the Mediterranean basin to increase monitoring accuracy for land surface variables …
and the Mediterranean basin to increase monitoring accuracy for land surface variables …