Remote sensing in field crop monitoring: A comprehensive review of sensor systems, data analyses and recent advances
The key elements that underpin food security require the adaptation of agricultural systems
to support productivity increases while minimizing inputs and the adverse effects of climate …
to support productivity increases while minimizing inputs and the adverse effects of climate …
UAV-based chlorophyll content estimation by evaluating vegetation index responses under different crop coverages
L Qiao, W Tang, D Gao, R Zhao, L An, M Li… - … and electronics in …, 2022 - Elsevier
Efficiently estimating chlorophyll content is important in monitoring the photosynthesis
capacity and growth status of maize canopy in precision agriculture management …
capacity and growth status of maize canopy in precision agriculture management …
Assessment of red-edge vegetation indices for crop leaf area index estimation
This study explores the potential of vegetation indices (VIs) for crop leaf area index (LAI)
estimation, with a focus on comparing red-edge reflectance based (RE-based) and the …
estimation, with a focus on comparing red-edge reflectance based (RE-based) and the …
A cubesat enabled spatio-temporal enhancement method (cestem) utilizing planet, landsat and modis data
Satellite sensing in the visible to near-infrared (VNIR) domain has been the backbone of
land surface monitoring and characterization for more than four decades. However, a …
land surface monitoring and characterization for more than four decades. However, a …
Vegetation indices combining the red and red-edge spectral information for leaf area index retrieval
Leaf area index (LAI) is a crucial biophysical variable for agroecosystems monitoring.
Conventional vegetation indices (VIs) based on red and near infrared regions of the …
Conventional vegetation indices (VIs) based on red and near infrared regions of the …
[HTML][HTML] Fusion of Sentinel-2 and PlanetScope time-series data into daily 3 m surface reflectance and wheat LAI monitoring
Abstract The dynamics of Leaf Area Index (LAI) from space is key to identify crop types and
their phenology over large areas, and to characterize spatial variations within growers' …
their phenology over large areas, and to characterize spatial variations within growers' …
A hybrid training approach for leaf area index estimation via Cubist and random forests machine-learning
With an increasing volume and dimensionality of Earth observation data, enhanced
integration of machine-learning methodologies is needed to effectively analyze and utilize …
integration of machine-learning methodologies is needed to effectively analyze and utilize …
Improving the monitoring of crop productivity using spaceborne solar‐induced fluorescence
Large‐scale monitoring of crop growth and yield has important value for forecasting food
production and prices and ensuring regional food security. A newly emerging satellite …
production and prices and ensuring regional food security. A newly emerging satellite …
Progress and development on biological information of crop phenotype research applied to real-time variable-rate fertilization
Y Shi, Y Zhu, X Wang, X Sun, Y Ding, W Cao, Z Hu - Plant methods, 2020 - Springer
Background Variable-rate fertilization is crucial in the implementation of precision agriculture
and for ensuring reasonable and efficient fertilizer application and nutrient management that …
and for ensuring reasonable and efficient fertilizer application and nutrient management that …
Estimating crop biomass using leaf area index derived from Landsat 8 and Sentinel-2 data
The availability of Landsat 8 and Sentinel-2 has led to a steady increase in both temporal
and spatial resolution of satellite data, offering new opportunities for large-scale crop …
and spatial resolution of satellite data, offering new opportunities for large-scale crop …