Study on mangrove extraction in Beibu Gulf of Guangxi considering phenological characteristics

Ning Li; Yunzhi Chen

doi:10.1117/12.3007437

30 August 2023 Study on mangrove extraction in Beibu Gulf of Guangxi considering phenological characteristics

Ning Li, Yunzhi Chen

Proceedings Volume 12797, Second International Conference on Geographic Information and Remote Sensing Technology (GIRST 2023); 127970S (2023) https://doi.org/10.1117/12.3007437
Event: 2nd International Conference on Geographic Information and Remote Sensing Technology (GIRST 2023), 2023, Qingdao, China

Abstract

Mangroves are of great significance to maintain the balance of human production, life, and the natural environment in coastal areas, and Beibu Gulf is an important mangrove concentrated area in China. In this paper, the Beibu Gulf of Guangxi is taken as the research area. With the support of Google Earth Engine (GEE) remote sensing big data cloud platform, Sentinel-2 MSI and Sentinel-1 SAR data in 2022 are used as data sources. According to spectral characteristics, remote sensing index, phenological characteristics, backscattering characteristics, and texture characteristics, a multisource data set is constructed. The mangrove remote sensing recognition model is constructed by using a random forest algorithm, and the mangrove extraction accuracy of the five models is compared to determine the optimal model. The results show that the classification scheme combining active remote sensing data, optical and SAR remote sensing indices, texture, and phenological characteristics achieves the highest extraction accuracy, and the overall accuracy and Kappa coefficient are 96.23 % and 0.934, respectively. It shows that the texture features and phenological characteristics in mangrove distribution extraction are helpful to improve the accuracy of mangrove extraction. This study verified the feasibility of remote sensing mangrove extraction using phenological characteristics, and the proposed method has certain reference value for mangrove monitoring in the Beibu Gulf region.

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

Citation Download Citation

Ning Li and Yunzhi Chen "Study on mangrove extraction in Beibu Gulf of Guangxi considering phenological characteristics", Proc. SPIE 12797, Second International Conference on Geographic Information and Remote Sensing Technology (GIRST 2023), 127970S (30 August 2023); https://doi.org/10.1117/12.3007437

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KEYWORDS

Phenology

Remote sensing

Vegetation

Synthetic aperture radar

Random forests

Image classification

Backscatter

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