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

Leaf chlorophyll concentration (LCC) is a key indicator of leaf nitrogen (N) and changes in
canopy structure, particularly the leaf area index (LAI), play a significant role in estimating …

Identifying forest types is crucial in satellite remote sensing monitoring. Research focusing
on the identification of forest tree species using high-resolution remote sensing images is on …

Abstract The three-dimensional (3D) plant chlorophyll distribution plays an essential role in
plant physiological and ecological analysis. The hyperspectral LiDAR (HSL) technology, as …

Leaf chlorophyll content (LCC) is vital for photosynthesis and ecosystem functioning; it
influences carbon, water, and energy exchanges while serving as an indicator of …

Spectral remote sensing can effectively, rapidly, and nondestructively detect the nitrogen
status of crop plants. Estimation of crop leaf nitrogen concentration (LNC,%) using canopy …

Mapping the spatial distribution of soil organic matter (SOM) content is crucial for land
management decisions, yet its accurate mapping faces challenges due to complex soil …

Remote sensing technology provides an effective means for continuously assessing the
chlorophyll content in plants on a broad scale. Given the challenges associated with satellite …

Chlorophyll content is an important index for evaluating the health and productivity of crops,
and environmental stress on them. The real-time, rapid, and accurate acquisition of …

Forests are critical for providing ecosystem services and contributing to human well-being,
but their health and extent are threatened by climate change, requiring effective monitoring …