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Remote Sensing for Natural Resources    2022, Vol. 34 Issue (4) : 87-96     DOI: 10.6046/zrzyyg.2022101
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Temporal-spatial changes and driving analysis of the northern shorelines of Jiaodong Peninsula
ZHAO Lianjie1(), WU Mengquan1(), ZHENG Longxiao1, LUAN Shaopeng2, ZHAO Xianfeng3, XUE Mingyue1, LIU Jiayan1, LIU Chenxi4
1. School of Resources and Environmental Engineering, Ludong University, Yantai 264039, China
2. Yantai Geographic Information Center, Yantai 264000, China
3. Yantai Land Reserve and Use Centre, Yantai 264000, China
4. School of Earth Sciences, Yangtze University, Wuhan 430100, China
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Abstract  

Dynamic shoreline monitoring is greatly significant for the scientific management of coastal zones and the rational utilization of marine resources. Based on the Landsat remote sensing images of four periods i.e., 1990, 2000, 2010, and 2020, this study extracted the changes in the shorelines and the coastal zones within the 2 km of the buffer zone in the north of Jiaodong Peninsula from 1990 to 2020 by making comparison and using an object-oriented method. By combining the calculation method for shoreline change intensity, this study analyzed the changing rate and temporal-spatial distribution characteristics of the shorelines using the digital shoreline analysis system (DSAS). Then, this study conducted a driving analysis of changes in the shoreline by constructing a human activity intensity index (HAII) model. The results are as follows. The shorelines of the study area generally showed an upward trend and advanced slowly to the seaside. The overall length of the shorelines increased by 183.13 km. The highest increased and decreased amplitude occurred in artificial shorelines and sandy natural shorelines, respectively. The shoreline changing rates showed uneven temporal-spatial distribution. The maximum growth rate of 94.59 m/a occurred in the Jiaolai River - Jiehe River section, while the maximum erosion rate of -49.01 m/a occurred in the Jiehe River - Dagujia River section. The changes in offshore human activities were the main contributor to the temporal-spatial changes of coastlines in the study area. The lengths and types of shorelines were mainly affected by human activities through sea reclamation and port construction.
Keywords object oriented      SVM      DSAS      temporal and spatial changes      human activity intensity index     
ZTFLH:  P237  
  P74  
  P737.1  
Issue Date: 27 December 2022
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Articles by authors
Lianjie ZHAO
Mengquan WU
Longxiao ZHENG
Shaopeng LUAN
Xianfeng ZHAO
Mingyue XUE
Jiayan LIU
Chenxi LIU
Cite this article:   
Lianjie ZHAO,Mengquan WU,Longxiao ZHENG, et al. Temporal-spatial changes and driving analysis of the northern shorelines of Jiaodong Peninsula[J]. Remote Sensing for Natural Resources, 2022, 34(4): 87-96.
URL:  
https://www.gtzyyg.com/EN/10.6046/zrzyyg.2022101     OR     https://www.gtzyyg.com/EN/Y2022/V34/I4/87
Fig.1  Scope of study area
序号 卫星 传感器类型 轨道号/
行号		 日期 空间分
辨率/m
1 Landsat5 TM 120/34 1990年 30
2 Landsat5 TM 120/34 2000年 30
3 Landsat5/7 TM/ETM+ 120/34 2010年 30
4 Landsat8 OLI 120/34 2020年 30
Tab.1  Parameter information of remote sensing satellite image data
分类对象 分类类别 类别特征 影像解译标志
海岸线 砂质岸线 主要在海风、海浪、潮汐、洋流的共同作用下堆积而成的海岸线 海岸线较为平直,退潮后露出的沙滩在影像上的亮度较低,没有被海水淹没过的沙滩亮度较高,主要表现为高低亮度沙砾间的分界线
淤泥质岸线 位于淤泥质或粉砂质泥滩的海岸线 滩面坡度平缓,向陆一侧通常有植物呈条带状生长
基岩岸线 通常由海岬和海湾组成,底部会长期受到海浪、潮汐的影响而不断侵蚀 光谱反射率偏低,影像上较为平直,干湿线表现较为明显
人工岸线 主要由混凝土、石头修筑而成,包括港口码头、近海养殖、构筑物、堤坝等建设用地的海岸线 在影像上具有较高的反射率,与具有较低反射率的海水形成鲜明的对比,地物形状规则,多为线状或块状
海岸带 农田 以种植作物为主的土地 具有规则的几何形状,整体分布较为集中
居住地 用于居住和商业区等的土地 分布较为密集,多呈块状聚集分布
道路 用来供各种车辆和行人通行的基础设施用地 整体呈网状分布,交错分布,多邻近建筑区
林草 主要包括林地、草地等植被类型覆盖的土地 颜色较深,呈不规则的块状或条带状分布
水域 指江河、湖泊、运河、渠道、水库、水塘及其管理范围和水工设施 反射率较低,在影像上颜色较深,表现明显
裸地 主要包括空闲地、荒地和未利用的裸地 基本无植物覆盖,反射率低于沙漠,颜色呈灰色
建设用地 主要包括临海港口建设、盐田建设、人工堆掘地等临海建设用地 反射率较高,建筑物色调呈白色,地物构成多样化,码头处凸出的构筑物多呈白色,细长突出
Tab.2  Construction of coastline and coastal zone classification
土地利用类型 农田 居住地 道路 林草 水域 裸地 建设用地
干扰强度系数 0.52 0.92 0.86 0.10 0.13 0.06 0.91
Tab.3  Interference intensity coefficient of each land use type factor
分类方法 海岸线类型
砂质岸
线		 淤泥质
岸线		 基岩岸
线		 人工岸
线
基于阈值分割 6.84 28.56 18.47 14.56
基于面向对象 9.65 24.31 15.35 12.39
Tab.4  Error analysis results of water edge line and baseline extracted by different methods(m)
Fig.2  Spatial distribution of the northern coastline of Jiaodong Peninsula from 1990 to 2020
年份 自然岸线 人工岸线 研究区
总岸线
砂质岸线 淤泥质岸线 基岩岸线
1990年 213.44 6.36 48.12 139.24 407.16
2000年 173.18 5.91 37.31 217.14 433.54
2010年 150.15 5.48 39.35 282.57 477.55
2020年 170.08 5.08 40.61 374.52 590.29
Tab.5  Statistics on the length of various types of coastlines in the north of Jiaodong Peninsula from 1990 to 2020 (km)
时间段 海岸线区段 变化长度
/km		 断面分布 断面个数 平均变化速率 最大增长速率 最大侵蚀速率 平均增长或侵蚀
EPR/(m·a-1) EPR/(m·a-1) EPR/(m·a-1) NSM/m
1990—2000年 A区段 -0.90 1—57 57 -1.58 90.00 -10.69 -15.78
B区段 20.10 57—137 81 0.53 40.76 -21.04 5.34
C区段 7.18 137—121 65 0.24 5.50 -9.32 2.35
2000—2010年 A区段 14.21 1—57 57 10.91 181.07 -6.05 109.11
B区段 18.88 57—137 81 4.05 58.61 -62.77 58.73
C区段 10.92 137—121 65 4.44 8.33 -18.03 44.32
2010—2020年 A区段 42.92 1—57 57 19.03 360.62 -4.12 171.24
B区段 82.39 57—137 81 13.57 204.49 -45.16 54.85
C区段 -12.57 137—121 65 -6.41 4.79 -36.93 -17.51
1990—2020年 A区段 56.23 1—57 57 6.12 94.59 -9.13 177.56
B区段 121.37 57—137 81 4.76 62.67 -49.01 138.20
C区段 5.53 137—121 65 -10.75 4.22 -21.96 -14.59
Tab.6  Spatial change trend of the northern coastline of Jiaodong Peninsula from 1990 to 2020
Fig.3  Spatial distribution of EPR of northern coastline of Jiaodong Peninsula from 1990 to 2020
Fig.4  Erosion types of different sections of the northern coastline of Jiaodong Peninsula from 1990 to 2020
方法 错分精度/% 漏分精度/% Kappa系数 总体精度/%
SVM 3.24 34.68 0.824 87.96
KNN 7.51 36.12 0.795 84.91
Tab.7  Comparison of accuracy of different classification extraction methods
Fig.5  Spatial distribution of HAII and changes of land use types in the northern coastal zone of Jiaodong Peninsula from 1990 to 2020
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