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Remote Sensing for Land & Resources    2020, Vol. 32 Issue (4) : 154-162     DOI: 10.6046/gtzyyg.2020.04.20
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Expansion monitoring of construction land based on SAR time series: A case study of Xinbei District, Changzhou
SUN Chao1,2(), CHEN Zhenjie1,2(), WANG Beibei1,2
1. School of Geography and Ocean Science, Nanjing University, Nanjing 210023, China
2. Key Laboratory for Satellite Mapping Technology and Applications of National Administration of Surveying, Mapping and Geoinformation, Nanjing 210023, China
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Abstract  

With the acceleration of urbanization process, the size of the city is growing, and hence it is of great importance to grasp the change of construction land quickly and accurately for the sustainable development of cities. Because SAR images are not affected by the weather, it is possible to use SAR time series to study the expansion of construction land. There are two kinds of time series structures in SAR, which are named “Z” structure and “V” structure in this paper. In view of the previous studies that only consider the “Z” structure but not the “V” structure, this study proposes a construction land extension method based on time series adaptive segmentation. The original time series is segmented in an adaptive manner, the average value of the segments is used as the characteristic value, and the extended area of construction land is extracted by the decision tree. The accuracy and completeness of the method are 89.60% and 92.73% respectively. The results are as follows: ① The method proposed in this paper can effectively monitor the expansion of construction land. Compared with that of the dynamic time warping(DTW) method, the accuracy is increased by 1.80 percentage points and the integrity rate is increased by 1.27 percentage points. ② From 2015 to 2019, construction land in Xinbei District of Changzhou increased by 557.96 hectares, mainly in the south and the southeast.
Keywords construction land expansion      SAR time series      Sentinel-1A      time series segment      sequential morphological structure     
:  TP79  
Corresponding Authors: CHEN Zhenjie     E-mail: 18256021764@163.com;chenzj@nju.edu.cn
Issue Date: 23 December 2020
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Chao SUN
Zhenjie CHEN
Beibei WANG
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Chao SUN,Zhenjie CHEN,Beibei WANG. Expansion monitoring of construction land based on SAR time series: A case study of Xinbei District, Changzhou[J]. Remote Sensing for Land & Resources, 2020, 32(4): 154-162.
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https://www.gtzyyg.com/EN/10.6046/gtzyyg.2020.04.20     OR     https://www.gtzyyg.com/EN/Y2020/V32/I4/154
Fig.1  Location of study area
年份 升降轨 极化方式 获取时间 影像数量/个
2015年 A VV 2015/07/01—2015/12/16 7
2016年 A VV 2016/01/09—2016/12/22 18
2017年 A VV 2017/01/03—2017/12/29 30
2018年 A VV 2018/01/10—2018/12/24 30
2019年 A VV 2019/01/05—2019/07/04 17
Tab.1  Data list
Fig.2  Flowchart of algorithm
Fig.3  Result of extreme points
Fig.4  Type of distance measure
Fig.5-1  Process of important points extraction
Fig.5-2  Process of important points extraction
Fig.6  Time series segmentation
Fig.7  Eigenvalues of time series
Fig.8  Sample selection and the establishment of decision tree
Fig.9  Results of change detection
Fig.10  Change detection results of DTW
方法 “Z”形结构数目 “V”形结构数目 合计
本文方法 9 230 4 719 13 949
DTW方法 9 379 2 546 11 925
Tab.2  Comparision of time series structure number(个)
方法 正确/个 错误/个 漏分/个 正确率/% 完整率/%
本文方法 445 55 20 89.60 92.73
DTW方法 439 61 41 87.80 91.46
Tab.3  Accuracy of this method is compared with that of DTW
土地利
用类型		 建设用地 合计
2015年 2016年 2017年 2018年 2019年
耕地 16.89 107.05 207.99 209.55 11.43 552.91
水体 0.62 1.42 1.69 1.27 0.04 5.05
合计 17.52 108.47 209.68 210.82 11.47 557.96
Tab.4  Transfer matrix of construction land changes over the years(hm2)
Fig.11  Expansion of construction land
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