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 …
A review of remote sensing applications in agriculture for food security: Crop growth and yield, irrigation, and crop losses
The global population is expected to reach 9.8 billion by 2050. There is an exponential
growth of food production to meet the needs of the growing population. However, the limited …
growth of food production to meet the needs of the growing population. However, the limited …
Transfer-learning-based approach for leaf chlorophyll content estimation of winter wheat from hyperspectral data
Leaf chlorophyll, as a key factor for carbon circulation in the ecosystem, is significant for the
photosynthetic productivity estimation and crop growth monitoring in agricultural …
photosynthetic productivity estimation and crop growth monitoring in agricultural …
Quantifying vegetation biophysical variables from imaging spectroscopy data: A review on retrieval methods
An unprecedented spectroscopic data stream will soon become available with forthcoming
Earth-observing satellite missions equipped with imaging spectroradiometers. This data …
Earth-observing satellite missions equipped with imaging spectroradiometers. This data …
Optical remote sensing and the retrieval of terrestrial vegetation bio-geophysical properties–A review
Forthcoming superspectral satellite missions dedicated to land monitoring, as well as
planned imaging spectrometers, will unleash an unprecedented data stream. The …
planned imaging spectrometers, will unleash an unprecedented data stream. The …
Estimating leaf area index and aboveground biomass of grazing pastures using Sentinel-1, Sentinel-2 and Landsat images
Grassland degradation has accelerated in recent decades in response to increased climate
variability and human activity. Rangeland and grassland conditions directly affect forage …
variability and human activity. Rangeland and grassland conditions directly affect forage …
Hyperspectral remote sensing data analysis and future challenges
Hyperspectral remote sensing technology has advanced significantly in the past two
decades. Current sensors onboard airborne and spaceborne platforms cover large areas of …
decades. Current sensors onboard airborne and spaceborne platforms cover large areas of …
Evaluation of the PROSAIL model capabilities for future hyperspectral model environments: A review study
Upcoming satellite hyperspectral sensors require powerful and robust methodologies for
making optimum use of the rich spectral data. This paper reviews the widely applied coupled …
making optimum use of the rich spectral data. This paper reviews the widely applied coupled …
Use of general regression neural networks for generating the GLASS leaf area index product from time-series MODIS surface reflectance
Z **ao, S Liang, J Wang, P Chen, X Yin… - … on Geoscience and …, 2013 - ieeexplore.ieee.org
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 …
Estimation of crop LAI using hyperspectral vegetation indices and a hybrid inversion method
Leaf area index (LAI) is an important indicator of crop growth. In this paper, a hybrid
inversion method was developed to estimate the LAI values of crops. Based on PROSAIL …
inversion method was developed to estimate the LAI values of crops. Based on PROSAIL …