Study on multiple cropping index of North China Plain based on LAI time series

Yuan Zhang; Huijuan Li; Sumei Zhang

doi:10.1117/12.3024168

21 February 2024 Study on multiple cropping index of North China Plain based on LAI time series

Yuan Zhang, Huijuan Li, Sumei Zhang

Proceedings Volume 12988, Second International Conference on Environmental Remote Sensing and Geographic Information Technology (ERSGIT 2023); 129880B (2024) https://doi.org/10.1117/12.3024168
Event: Second International Conference on Environmental Remote Sensing and Geographic Information Technology (ERSGIT 2023), 2023, Xi’an, China

Abstract

Climate change has a particularly significant impact on agricultural ecosystems. In order to ensure food security, it is necessary to master the change law. Remote sensing can be used to quickly and efficiently obtain the spatial-temporal pattern characteristics of planting systems in a large region, providing an important basis for evaluating regional food security. Firstly, the Savitzky-Golay filtering method was used to smoothly reconstruct the GLASS (Global LAnd Surface Satellite) LAI (Leaf Area Index) data from 2011 to 2020. Secondly, the cultivated land in the North China Plain was extracted with the dynamic threshold method, and the cultivated land maturity system was extracted with the quadratic difference method, and the annual multiple cropping index was calculated. Finally, the changes of the reforestation index in the North China Plain were analyzed based on factors such as climate and elevation. The analysis results showed that the cultivated land area in the North China Plain was slowly decreasing, and the area of two-crop cultivated land was much larger than that of single-crop cultivated land. The recultivation index showed an overall upward trend except for a significant decrease in 2013 and 2018, and the center of gravity of single-crop cultivated land and two-crop cultivated land showed a northward trajectory.

(2024) Published by SPIE. Downloading of the abstract is permitted for personal use only.

Citation Download Citation

Yuan Zhang, Huijuan Li, and Sumei Zhang "Study on multiple cropping index of North China Plain based on LAI time series", Proc. SPIE 12988, Second International Conference on Environmental Remote Sensing and Geographic Information Technology (ERSGIT 2023), 129880B (21 February 2024); https://doi.org/10.1117/12.3024168

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KEYWORDS

Data acquisition

Data modeling

Tunable filters

Glasses

Remote sensing

Climate change

Climatology

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