Leaf area index (LAI) is an important vegetation leaf structure parameter in forest and
agricultural ecosystems. Remote sensing techniques can provide an effective alternative to …

Accurate estimation of gross primary production (GPP) is critical for understanding
ecosystem response to climate variability and change. Satellite-based diagnostic models …

Nitrogen (N) is an essential element for crop growth, productivity, and quality, making it a
fundamental component of crop nutrition. In precision agriculture, rapid and non-destructive …

Powdery mildew is a disease that threatens wheat production and causes severe economic
losses worldwide. Its timely diagnosis is imperative for preventing and controlling its spread …

Accurate prediction of optimal harvest date (OHD) is important to maximize the yield of corn
as it approaches maturity. Yield loss occurs if harvest occurs in advance of, or is delayed …

Continuous monitoring leaf area index (LAI) of field crops in a growing season has a great
challenge. The development of remote sensing technology provides a good tool for timely …

View angle effects present in crop canopy spectra are critical for the retrieval of the crop
canopy leaf area index (LAI). In the past, the angular effects on spectral vegetation indices …

Nitrogen (N) content is an important factor that can affect wheat production. The non-
destructive testing of wheat canopy leaf N content through multi-angle hyperspectral remote …

The leaf area index (LAI) played a crucial role in ecological, hydrological, and climate
models. The normalized difference vegetation index (NDVI) has been a widely used tool for …

This study presents the results of a field experiment conducted for assessing the crop health
status of several barley and oat crop fields in Prince Edward Island, Canada. The crop fields …