In agricultural and remote sensing research, accurately estimating wheat's Leaf Area Index (LAI) using unmanned aerial vehicle-based multispectral data is essential for monitoring crop health and ...

Dr. Cong Wang, one of the lead researchers, states, “Our findings are a significant step forward in improving remote sensing accuracy. By understanding the nuances of how soil moisture and type affect ...

However, soil background effects, especially variations in soil moisture and type, can introduce significant uncertainties, particularly in sparsely vegetated areas and coarse resolution imagery.

The soil–vegetation mixture scenarios simulated in the LESS model. Subplots (A) to (C), (D) to (F), and (G) to (I) show tree, crop, and grass scenes, respectively, under low, medium, and high FVC.

(MENAFN- EIN Presswire) EINPresswire/ -- This study introduces a comprehensive analysis of various soil-resistant vegetation indices (VIs) designed to mitigate the effects of soil moisture and soil ...