Land remote sensing capabilities in the optical domain have dramatically increased in the
past decade, owing to the unprecedented growth of space-borne systems providing a wealth …

Using unmanned aerial vehicle (UAV) hyperspectral images to accurately estimate the
chlorophyll content of summer maize is of great significance for crop growth monitoring …

Increasing evidence suggests that remotely sensed spectral diversity is linked to plant
species richness. However, a conflicting spectral diversity–biodiversity relationship in …

Hyperspectral images are increasingly being used in classification and identification. Data
users prefer hyperspectral imagery with high spatial resolution, finer spectral resolution, and …

Introduction Detecting and monitoring crop stress is crucial for ensuring sufficient and
sustainable crop production. Recent advancements in unoccupied aerial vehicle (UAV) …

This paper addresses the development of a remote hyperspectral imaging system for
detection and characterization of marine litter concentrations in an oceanic environment …

Aboveground biomass (AGB) is an important indicator for crop-growth monitoring and yield
prediction, and accurate monitoring of AGB is beneficial to agricultural fertilization …

UAS-based remote sensing has been rapidly growing in numerous fields, including
agriculture and environmental studies. However, the lack of a practical and reliable …

The leaf area index (LAI) is critical for the respiration, transpiration, and photosynthesis of
crops. Color indices (CIs) and vegetation indices (VIs) extracted from unmanned aerial …

Accurate and efficient estimation of crop biophysical traits, such as leaf chlorophyll
concentrations (LCC) and average leaf angle (ALA), is an important bridge between …