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 …
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 …
A comparative assessment of different modeling algorithms for estimating leaf nitrogen content in winter wheat using multispectral images from an unmanned aerial …
Unmanned aerial vehicle (UAV)-based remote sensing (RS) possesses the significant
advantage of being able to efficiently collect images for precision agricultural applications …
advantage of being able to efficiently collect images for precision agricultural applications …
[HTML][HTML] Optical remote sensing of crop biophysical and biochemical parameters: An overview of advances in sensor technologies and machine learning algorithms for …
This paper provides an overview of the recent developments in remote sensing technology
and machine learning algorithms for estimating important biophysical and biochemical …
and machine learning algorithms for estimating important biophysical and biochemical …
Prediction of winter wheat leaf chlorophyll content based on VIS/NIR spectroscopy using ANN and PLSR
V Rasooli Sharabiani, A Soltani Nazarloo… - Food Science & …, 2023 - Wiley Online Library
Visible–near‐infrared spectroscopy is known for its rapid and nondestructive characteristics
designed to predict leaf chlorophyll content (LCC) of winter wheat. It is believed that the …
designed to predict leaf chlorophyll content (LCC) of winter wheat. It is believed that the …
Improving field-scale wheat LAI retrieval based on UAV remote-sensing observations and optimized VI-LUTs
Leaf area index (LAI) is a key biophysical parameter for monitoring crop growth status,
predicting crop yield, and quantifying crop variability in agronomic applications. Mapping the …
predicting crop yield, and quantifying crop variability in agronomic applications. Mapping the …
Estimation and mapping of winter oilseed rape LAI from high spatial resolution satellite data based on a hybrid method
Leaf area index (LAI) is a key input in models describing biosphere processes and has
widely been used in monitoring crop growth and in yield estimation. In this study, a hybrid …
widely been used in monitoring crop growth and in yield estimation. In this study, a hybrid …
Retrieval of maize leaf area index using hyperspectral and multispectral data
Field spectra acquired from a handheld spectroradiometer and Sentinel-2 images spectra
were used to investigate the applicability of hyperspectral and multispectral data in retrieving …
were used to investigate the applicability of hyperspectral and multispectral data in retrieving …
Comparative analysis of GF-1, HJ-1, and Landsat-8 data for estimating the leaf area index of winter wheat
Using simultaneously collected remote sensing data and field measurements, this study
firstly assessed the consistency and applicability of China high-resolution earth observation …
firstly assessed the consistency and applicability of China high-resolution earth observation …
Improving winter wheat yield estimation from the CERES-wheat model to assimilate leaf area index with different assimilation methods and spatio-temporal scales
H Li, Z Chen, G Liu, Z Jiang, C Huang - Remote Sensing, 2017 - mdpi.com
To improve the accuracy of winter wheat yield estimation, the Crop Environment Resource
Synthesis for Wheat (CERES-Wheat) model with an assimilation strategy was performed by …
Synthesis for Wheat (CERES-Wheat) model with an assimilation strategy was performed by …