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Identification and Research of Winter Wheat in Loess Plateau Based on Multi-Temporal Vegetation Index Model

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DOI: 10.23977/jmcs.2023.020101 | Downloads: 18 | Views: 1168

Author(s)

Yujie Niu 1,2, Yongming Yang 1,2

Affiliation(s)

1 College of Land and Resources Engineering, Kunming University of Science and Technology, Kunming, Yunnan, 650031, China
2 College of Earth Science and Engineering, West Yunnan University of Applied Sciences, Dali, Yunnan, 671000, China

Corresponding Author

Yongming Yang

ABSTRACT

The key factor affecting the planting monitoring of winter wheat is the interference of crops at the same time, which will cause the problem of data inconsistency between the winter wheat planting area obtained by remote sensing technology and the cultivated land planting area statistics. Therefore, accurate and efficient rapid acquisition of cultivated land planting monitoring information is of great significance for ensuring food and agriculture security, grain yield estimation, and area estimation in the study area. At present, there are few studies on winter wheat cultivated land area extraction in the Loess Plateau by using the construction of multitemporal vegetation index synthesis model, the change characteristics of winter wheat index, and the separability of cultivated land image information. We use Sentinel-2 data to study through a multitemporal vegetation index synthesis model. In this research, we estimated the planting area of winter wheat cultivated land extracted by the vegetation index model from 2020 to 2021, and studied the correlation between the multitemporal index model and winter wheat on the Loess Plateau. The separability of multitemporal normalized vegetation index model for winter wheat and concurrent crops was also discussed. The result shows that: (1) By using the multitemporal NDVI model composed of overwintering stage, jointing stage, and Milk-Ripening stage, the accuracy of the total cultivated area of winter wheat reached 96.80%, the overall accuracy was about 94.26%, and the Kappa coefficient was 0.89, which ensured the consistency between the cultivated area of winter wheat and the actual total planted area in the Loess Plateau and the accuracy of winter wheat remote sensing monitoring. (2) The results of multitemporal NDVI vegetation index model extraction of winter wheat planting area showed that the NDVI values of winter wheat were clearly different under different terrain in the same growing period and susceptible to the interference of crops in the same period. We found that the multitemporal NDVI index model could effectively reduce the interference of rapeseed and forestland growing at the same time on the planting area of winter wheat, and enhance the separability of winter wheat planting area. Overall, based on Sentinel-2 data and using the multi-period NDVI index synthesis model, we accurately obtained the area of planting area, which proved that the model can be effectively applied to winter wheat in the Loess Plateau, and provided data support for the remote sensing planting monitoring of winter wheat in the local area.

KEYWORDS

Vegetation Index (VI), The Loess Plateau, Winter Wheat, Multi-temporal Vegetation Index Image Fusion Model, Sentinel-2

CITE THIS PAPER

Yujie Niu, Yongming Yang, Identification and Research of Winter Wheat in Loess Plateau Based on Multi-Temporal Vegetation Index Model. Journal of Modern Crop Science (2023) Vol. 2: 1-11. DOI: http://dx.doi.org/10.23977/jmcs.2023.020101.

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