Regional winter wheat yield estimation based on CASA model and improved harvest index using remote sensing images

Qian Li; Jianhui Zhao; Huijin Yang; Ning Li

doi:10.1117/12.3010380

15 November 2023 Regional winter wheat yield estimation based on CASA model and improved harvest index using remote sensing images

Qian Li, Jianhui Zhao, Huijin Yang, Ning Li

Author Affiliations +

Proceedings Volume 12815, International Conference on Remote Sensing, Mapping, and Geographic Systems (RSMG 2023); 128150Q (2023) https://doi.org/10.1117/12.3010380
Event: International Conference on Remote Sensing, Mapping, and Geographic Systems (RSMG 2023), 2023, Kaifeng, China

Abstract

Accurately and timely grasping agricultural information at the regional scale helps to solve food security issues and formulate agricultural policies. Remote sensing images have the advantages of wide monitoring range and the ability to eliminate human interference. In recent years, they have been increasingly valued in crop yield estimation. The CASA model is used to estimate the net primary productivity (NPP) of crops and then combine it with the harvest index (HI) to estimate crop yields. However, most studies use a fixed HI for yield estimation, which can lead to low accuracy. In this context, the HI is studied and improved for winter wheat yield prediction in this research. The main contents are as follows: Firstly, time-series Sentinel-2 optical data and meteorological data were used as inputs of the CASA model to calculate the NPP of winter wheat. Then, HI was calculated using the fieldwork data and a method was proposed to improve it due to its geographic location-related characteristics. Finally, the calculated NPP and improved HI were used to estimate the winter wheat yield. The experimental results prove that the proposed method has higher accuracy than original methods, with determination coefficient(R²) of 0.595, root mean square error(RMSE) of 793.4 kg/ha, and mean absolute error(MAE) of 659.53 kg/ha.

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

Citation Download Citation

Qian Li, Jianhui Zhao, Huijin Yang, and Ning Li "Regional winter wheat yield estimation based on CASA model and improved harvest index using remote sensing images", Proc. SPIE 12815, International Conference on Remote Sensing, Mapping, and Geographic Systems (RSMG 2023), 128150Q (15 November 2023); https://doi.org/10.1117/12.3010380

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KEYWORDS

Data modeling

Yield improvement

Remote sensing

Vegetation

Agriculture

Atmospheric modeling

Solar radiation

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