2021年8月10日 · The accurate and dynamic monitoring of Leaf Area Index (LAI) provides important information to evaluate rice growth and production. This study explores a simple method to remotely estimate LAI with Unmanned Aerial Vehicle (UAV) imaging for a variety of rice cultivars throughout the entire growing season.

2021年5月3日 · To accurately estimate winter wheat leaf area index (LAI) using unmanned aerial vehicle (UAV) hyperspectral imagery is crucial for crop growth monitoring, fertilization management, and development of precision agriculture.

Development stage and leaf area index (LAI) are given for dates when unmanned aerial vehicle (UAV) phenotyping occurred. In Exp19, LAI values correspond to measurements from quadrate harvests done at similar dates for the UAV phenotyping. In Exp16, LAI values were interpolated based on quadrate measurements from the whole growing season.

2023年7月1日 · The high proportion of soil background pixels in UAV remote sensing images is an important reason for the uncertainty of high-precision leaf area index (LAI) estimation at early growth stages of crops.

2022年9月24日 · Leaf area index (LAI) refers to the total area of leaves per unit ground area, it is a key canopy structure parameter that is directly related to photosynthetic...

2023年9月1日 · This study investigates the inversion of maize LAI based on UAV imagery using a HIM that combines an RTM and MLRA. AL techniques are utilized to enhance the performance of the hybrid model, while VI-based empirical statistical and LUT-based physical models are constructed and compared with the HIM.

2024年3月28日 · Predicting leaf area index (LAI) is essential for understanding crop growth status and water-fertilizer management. The aim of this study was to evaluate the effectiveness of unmanned aerial vehicle (UAV) multispectral imaging technology in estimating the LAI of corn under different water and fertilizer stress conditions.

2024年5月27日 · Here, LAI values of maize and soybean were predicted applying height metrics and intensity metrics calculated through unmanned aerial vehicle (UAV) LiDAR data. Moreover, we compared the prediction performance of physical model with that of empirical model for estimating crop LAI.

2024年7月1日 · Two years of Leaf Area Index (LAI) of summer maize retrieved from Unmanned Aerial Vehicles (UAV)-RGB images was assimilated into the WOFOST using the Ensemble Kalman Filter (EnKF).

1 天前 · The applicability of UAV for LAI inversion in parks. In traditional urban green space research, remote sensing images typically have the following resolutions: 30 m for TM images, 2.5-10m for SPOT5 images, and 1m for IKONOS-2 images [36,37]. Those low-resolution images prevent remote sensing data from accurately reflecting the characteristics ...