Title: A monitoring method of surface vegetation distribution in the Yellow River Basin based on remote sensing image segmentation

Authors: Wei Wang; Xiaoyan Yi

Addresses: Henan Key Laboratory of Ecological Environment Protection and Restoration of the Yellow River Basin, Zhengzhou Henan, 450003, China; College of Information Engineering, Henan Industry and Trade Vocational College, Zhengzhou Henan, 450053, China ' Henan Key Laboratory of Ecological Environment Protection and Restoration of the Yellow River Basin, Zhengzhou Henan, 450003, China

Abstract: In order to overcome the problems of low accuracy and the time-consuming nature of traditional vegetation distribution monitoring methods, a new monitoring method of surface vegetation distribution in the Yellow River Basin based on remote sensing image segmentation is proposed. First, describe the segmentation features of remote sensing images. Secondly, based on the results of feature description, H-minimum transform is used to calculate the segmentation parameters of remote sensing image and complete the segmentation of remote sensing image. Finally, the maximum value synthesis method is used to calculate the surface vegetation coverage. Combined with the normalised vegetation index, the dichotomy model is used to calculate the distribution parameters of surface vegetation, and the distribution monitoring of surface vegetation is completed. The experimental results show that this method can effectively improve the monitoring accuracy and reduce the monitoring time, and the monitoring accuracy reaches more than 93%.

Keywords: remote sensing image segmentation; the Yellow River Basin; surface vegetation; distribution monitoring.

DOI: 10.1504/IJETM.2024.135563

International Journal of Environmental Technology and Management, 2024 Vol.27 No.1/2, pp.37 - 48

Received: 10 Aug 2022
Accepted: 07 Dec 2022
Published online: 18 Dec 2023 *

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