
Extraction of aquatic vegetation in Hongze Lake National Wetland Park based on Sentinel-1 and Sentinel-2 images
HAN Sen, RUAN Renzong, FU Qiaoni, XU Hanwei, HENG Xuebiao
JOURNAL OF NANJING FORESTRY UNIVERSITY ›› 2024, Vol. 48 ›› Issue (2) : 19-26.
Extraction of aquatic vegetation in Hongze Lake National Wetland Park based on Sentinel-1 and Sentinel-2 images
【Objective】 The objective of this study was to explore the extraction of spatio-temporal distribution of aquatic vegetation in lake wetlands using Sentinel-1 and Sentinel-2 data. 【Method】 Hongze Lake National Wetland Park was chosen as the research area. Based on the combination of Sentinel-2 MSI images and Sentinel-1 SAR images, the object-oriented image analysis was used. The feature set was constructed by using EVSI, NDVI, SR feature index and contextual features between objects, as well as differences in the backscatter coefficients of the SAR images corresponding to differences in the height of the emergent vegetation types. A decision-tree model was established at the object level to classify the wetland, and the spatio-temporal distribution of the aquatic vegetation and the emergent vegetation in the Hongze Lake National Wetland Park was acquired. 【Result】 The classification accuracy and the Kappa coefficient of aquatic vegetation were observed to be 89% and 0.85, respectively, and that of the emergent vegetation was 85.2% and 0.76, respectively. The results showed that, compared with the results of the pixel-based analysis method, the accuracy of object-based image analysis was higher. The wetland aquatic vegetation was dominated by submerged and emergent vegetation; among the emergent vegetation, lotus leaves and reeds were dominant. 【Conclusion】 The methods proposed in this study were feasible, and the results could provide a scientific basis for managers and planners of wetlands.
aquatic vegetation / Sentinel-1 / Sentinel-2 / decision tree / vegetation characteristic index / backscatter coefficient / Hongze Lake National Wetland Park
[1] |
|
[2] |
罗菊花, 杨井志成, 段洪涛, 等. 浅水湖泊水生植被遥感监测研究进展[J]. 遥感学报, 2022, 26(1):68-76.
|
[3] |
|
[4] |
|
[5] |
夏双, 阮仁宗, 颜梅春, 等. 洪泽湖湿地类型变化分析[J]. 南京林业大学学报(自然科学版), 2012, 36(1):38-42.
|
[6] |
阮仁宗, 冯学智, 肖鹏峰, 等. 洪泽湖天然湿地的长期变化研究[J]. 南京林业大学学报(自然科学版), 2005, 29(4):57-60.
|
[7] |
|
[8] |
阮仁宗, 夏双, 陈远, 等. 1979—2006年洪泽湖西岸临淮镇附近湖泊变化研究[J]. 湿地科学, 2012, 10(3):344-349.
|
[9] |
张殿岱, 王雪梅. 基于高分辨率遥感影像的植被分类方法比较[J]. 林业资源管理, 2021(3):108-113.
|
[10] |
|
[11] |
|
[12] |
|
[13] |
|
[14] |
聂倩, 七珂珂, 赵艳福. 融入超像素分割的高分辨率影像面向对象分类[J]. 测绘通报, 2021(6):44-49.
|
[15] |
|
[16] |
|
[17] |
|
[18] |
王靖, 吴见. 融入空间信息的湿地信息提取技术[J]. 南京林业大学学报(自然科学版), 2014, 38(4):19-22.
|
[19] |
刘瑞清, 李加林, 孙超, 等. 基于Sentinel-2遥感时间序列植被物候特征的盐城滨海湿地植被分类[J]. 地理学报, 2021, 76(7):1680-1692.
|
[20] |
吴翼, 戴蓉, 徐勇峰, 等. 洪泽湖河湖交汇区土地利用时空动态[J]. 南京林业大学学报(自然科学版), 2016, 40(4):22-28.
|
[21] |
张楼香, 阮仁宗, 夏双. 洪泽湖湿地纹理特征参数分析[J]. 国土资源遥感, 2015, 27(1):75-80.
|
[22] |
姚建平. 洪泽湖自然资源的开发和利用[J]. 自然资源, 1994, 16(5):25-30.
|
[23] |
杨斌, 李丹, 王磊, 等. 基于Sentinel-2A岷江上游地表生物量反演与植被特征分析[J]. 科技导报, 2017, 35(21):74-80.
|
[24] |
|
[25] |
|
[26] |
|
[27] |
国土资源部.TD/T 1063-1994 土地利用现状调查省级汇总技术规程[S]. 北京: 中国标准出版社,1994.
|
[28] |
疏小舟, 尹球, 匡定波. 内陆水体藻类叶绿素浓度与反射光谱特征的关系[J]. 遥感学报, 2000, 4(1):41-45.
|
[29] |
|
[30] |
|
[31] |
|
[32] |
|
/
〈 |
|
〉 |