Impact analysis of LAI parameters on yield evaluation of RS-P-YEC model

Yundi Song; Feng Rui; Ruipeng Ji; Jinwen Wu; Wenying Yu; Jingyi Wang; Ying Wang

doi:10.1117/12.3007521

30 August 2023 Impact analysis of LAI parameters on yield evaluation of RS-P-YEC model

Yundi Song, Feng Rui, Ruipeng Ji, Jinwen Wu, Wenying Yu, Jingyi Wang, Ying Wang

Proceedings Volume 12797, Second International Conference on Geographic Information and Remote Sensing Technology (GIRST 2023); 127972F (2023) https://doi.org/10.1117/12.3007521
Event: 2nd International Conference on Geographic Information and Remote Sensing Technology (GIRST 2023), 2023, Qingdao, China

Abstract

LAI is one of the important input parameters of crop model. LAI data is coupled to crop growth model RS-P-YEC with asynchronous length of 5 days, 10 days and 20 days, and the influence of LAI parameters on yield evaluation of crop model is analyzed. The results show that RS-P-YEC model is sensitive to LAI parameters, and LAI parameters with different time steps have a great impact on the simulation results of the model. From the NPP simulation value of the model, the simulation results of 10 days are most consistent with the crop growth status, and the NPP simulation value in late September is between 450-700gC/m² . The precision of RS-P-YEC model with 10 day step LAI is the highest, and the determination coefficient reaches 0.7229. RS-P-YEC model is used to achieve point-to-surface assessment of the impact of drought catastrophe on crop yield, which provides theoretical basis and technical support for improving the accuracy of disaster loss assessment and food security.

(2023) Published by SPIE. Downloading of the abstract is permitted for personal use only.

Citation Download Citation

Yundi Song, Feng Rui, Ruipeng Ji, Jinwen Wu, Wenying Yu, Jingyi Wang, and Ying Wang "Impact analysis of LAI parameters on yield evaluation of RS-P-YEC model", Proc. SPIE 12797, Second International Conference on Geographic Information and Remote Sensing Technology (GIRST 2023), 127972F (30 August 2023); https://doi.org/10.1117/12.3007521

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