文献类型：期刊文献

英文题名：Monitoring Impervious Surface Area Dynamics in Urban Areas Using Sentinel-2 Data and Improved Deeplabv3+Model: A Case Study of Jinan City, China

作者：Liu, Jiantao[1];Zhang, Yan[1];Liu, Chunting[2];Liu, Xiaoqian[3]

第一作者：Liu, Jiantao

通讯作者：Liu, XQ[1]

机构：[1]Shandong Jianzhu Univ, Sch Surveying & Geoinformat, Jinan 250101, Peoples R China;[2]Jinan Real Estate Measuring Inst, Jinan 250001, Peoples R China;[3]Beijing Union Univ, Coll Appl Arts & Sci, Beijing 100191, Peoples R China

第一机构：Shandong Jianzhu Univ, Sch Surveying & Geoinformat, Jinan 250101, Peoples R China

通讯机构：[1]corresponding author), Beijing Union Univ, Coll Appl Arts & Sci, Beijing 100191, Peoples R China.|[114172]北京联合大学应用文理学院;[11417]北京联合大学;

年份：2023

卷号：15

期号：8

外文期刊名：REMOTE SENSING

收录：;EI(收录号：20231914056230);Scopus(收录号：2-s2.0-85156103027);WOS:【SCI-EXPANDED(收录号:WOS:000977244900001)】；

语种：英文

外文关键词：impervious surface area; Sentinel-2; Deeplabv3+; Jinan City; spatial-temporal variation

摘要：Timely and rapidly mapping impervious surface area (ISA) and monitoring its spatial-temporal change pattern can deepen our understanding of the urban process. However, the complex spectral variability and spatial heterogeneity of ISA caused by the increased spatial resolution poses a great challenge to accurate ISA dynamics monitoring. This research selected Jinan City as a case study to boost ISA mapping performance through integrating the dual-attention CBAM module, SE module and focal loss function into the Deeplabv3+ model using Sentinel-2 data, and subsequently examining ISA spatial-temporal evolution using the generated annual time-series ISA data from 2017 to 2021. The experimental results demonstrated that (a) the improved Deeplabv3+ model achieved satisfactory accuracy in ISA mapping, with Precision, Recall, IoU and F1 values reaching 82.24%, 92.38%, 77.01% and 0.87, respectively. (b) In a comparison with traditional classification methods and other state-of-the-art deep learning semantic segmentation models, the proposed method performed well, qualitatively and quantitatively. (c) The time-series analysis on ISA distribution revealed that the ISA expansion in Jinan City had significant directionality from northeast to southwest from 2017 to 2021, with the number of patches as well as the degree of connectivity and aggregation increasing while the degree of fragmentation and the complexity of shape decreased. Overall, the proposed method shows great potential in generating reliable times-series ISA data and can be better served for fine urban research.