Time-space-angle scale effects and incorporation patterns in estimating rice LAI and leaf chlorophyll content by UAV multispectral remote sensing

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Shanjun Luo, Qian Li, Lei Du, Zhaocong Wu

Published: 2025, Last Modified: 06 Nov 2025Comput. Electron. Agric. 2025EveryoneRevisionsBibTeXCC BY-SA 4.0
Abstract: Highlights•Time-space-angle scales seriously affect the rice LAI and LCC estimation.•Rice LAI estimation is suitable for using strong sunlight-based NDRE.•Rice LCC estimation is suitable for using mild sunlight-based NDRE.•MHAR-based data fusion patterns are conducive to rice LAI and LCC monitoring.•Proper inputs are critical to the accuracy of deep learning regression models.