A study on the extraction of Red Beach <i>Suaeda salsa</i> and its change trends in recent 5 years based on HY-1C data

Liang Chao; Liu Li; Liu Jianqiang; Zou Yarong; Feng Qian; Guo Maohua; Zeng Tao

doi:10.12284/hyxb2023144

Volume 45 Issue 11

Nov. 2023

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Liang Chao，Liu Li，Liu Jianqiang, et al. A study on the extraction of Red Beach Suaeda salsa and its change trends in recent 5 years based on HY-1C data[J]. Haiyang Xuebao，2023, 45(11)：164–174 doi: 10.12284/hyxb2023144

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Liang Chao，Liu Li，Liu Jianqiang, et al. A study on the extraction of Red Beach Suaeda salsa and its change trends in recent 5 years based on HY-1C data[J]. Haiyang Xuebao，2023, 45(11)：164–174 doi: 10.12284/hyxb2023144

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A study on the extraction of Red Beach Suaeda salsa and its change trends in recent 5 years based on HY-1C data

doi: 10.12284/hyxb2023144

Liang Chao^{1, 2
,},
Liu Li^{3
,
,},
Liu Jianqiang^{1, 2},
Zou Yarong^{1, 2},
Feng Qian^{1, 2},
Guo Maohua^{1, 2},
Zeng Tao^{1, 2}

1.
National Satellite Ocean Application Service, Ministry of Natural Resources, Beijing 100081, China
2.
Key Laboratory of Space Ocean Remote Sensing and Application, Ministry of Natural Resources, Beijing 100081, China
3.
Aerospace Information Research Institute, Chinese Academy of Sciences, Beijing 100094, China

Received Date: 2023-04-14
Rev Recd Date: 2023-07-05

Available Online: 2023-10-23

Publish Date: 2023-11-30

Abstract

Abstract

In order to master the current distribution and the restoration status of Suaeda salsa in the Red Beach, a remote sensing extraction model was constructed based on the HY-1C satellite CZI data and on-site measured spectral. Five periods of spatial distribution data of S. salsa were obtained in 2018−2022, with the extraction accuracy better than 87%; based on the extracted results, a change analysis on the spatio-temporal distribution and the class-level landscape pattern of S. salsa was conducted. The results show that: in the past 5 years, the overall distribution area of the S. salsa community has shown a significant increase trend, with indicators such as class area (CA), percentage of landscape (PLAND), largest patch index (LPI), effective mesh size (MESH), and mean patch size (AREA_MN) showing a first decreasing and then increasing trend, splitting index (SPLIT) first increasing and then decreasing, and aggregation index (AI) overall showing an upward trend. It can be seen that the proportion of S. salsa community in the landscape composition of Red Beach has been increasing year by year, the complexity of landscape shape has increased, the fragmentation trend has been reversed, and the trend of aggregation distribution is more obvious. This all indicates that the large-scale restoration project of S. salsa implemented since 2019 has achieved a significant result. The biotope of the Red Beach S. salsa continues to improve, but at the same time, it shows a spatial imbalance of the recovery level, which is generally better in the middle and east than in the west, and better in the south than in the north. The results of this paper can provide basic data for the evaluation of the effectiveness of the restoration project, and provide decision-making reference for the spatial planning in the future restoration work.
- Red Beach,
- HY-1C,
- Suaeda salsa,
- space distribution,
- landscape indices

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References(42)

References

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