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 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 …
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 …
Experimental Sentinel-2 LAI estimation using parametric, non-parametric and physical retrieval methods–A comparison
Given the forthcoming availability of Sentinel-2 (S2) images, this paper provides a
systematic comparison of retrieval accuracy and processing speed of a multitude of …
systematic comparison of retrieval accuracy and processing speed of a multitude of …
Using low resolution satellite imagery for yield prediction and yield anomaly detection
Low resolution satellite imagery has been extensively used for crop monitoring and yield
forecasting for over 30 years and plays an important role in a growing number of operational …
forecasting for over 30 years and plays an important role in a growing number of operational …
[HTML][HTML] Gaussian processes retrieval of crop traits in Google Earth Engine based on Sentinel-2 top-of-atmosphere data
J Estévez, M Salinero-Delgado, K Berger… - Remote sensing of …, 2022 - Elsevier
The unprecedented availability of optical satellite data in cloud-based computing platforms,
such as Google Earth Engine (GEE), opens new possibilities to develop crop trait retrieval …
such as Google Earth Engine (GEE), opens new possibilities to develop crop trait retrieval …
Inversion of the PROSAIL model to estimate leaf area index of maize, potato, and sunflower fields from unmanned aerial vehicle hyperspectral data
Leaf area index (LAI) is a key variable for modeling energy and mass exchange between the
land surface and the atmosphere. Inversion of physically based radiative transfer models is …
land surface and the atmosphere. Inversion of physically based radiative transfer models is …
Remote estimation of leaf area index (LAI) with unmanned aerial vehicle (UAV) imaging for different rice cultivars throughout the entire growing season
Y Gong, K Yang, Z Lin, S Fang, X Wu, R Zhu, Y Peng - Plant Methods, 2021 - Springer
Background Rice is one of the most important grain crops worldwide. The accurate and
dynamic monitoring of Leaf Area Index (LAI) provides important information to evaluate rice …
dynamic monitoring of Leaf Area Index (LAI) provides important information to evaluate rice …
Validation of global moderate resolution leaf area index (LAI) products over croplands in northeastern China
Over the last decade, a series of global moderate resolution leaf area index (LAI) products
have become available and been widely applied in many disciplines. At the same time …
have become available and been widely applied in many disciplines. At the same time …
Spatially constrained inversion of radiative transfer models for improved LAI map** from future Sentinel-2 imagery
C Atzberger, K Richter - Remote Sensing of Environment, 2012 - Elsevier
The robust and accurate retrieval of vegetation biophysical variables using radiative transfer
models (RTM) is seriously hampered by the ill-posedness of the inverse problem. With this …
models (RTM) is seriously hampered by the ill-posedness of the inverse problem. With this …