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ENDBSI: an Enhanced Normalized Difference Bare Soil Index for identifying the bare soil of urban and rural regions in China

文献类型：期刊论文

作者Chen, Junyi2,3,4; Yu, Zhong2,3,4; Tang, Bo-Hui2,3,4,9; Liang, Huang2,3,4; Fu, Zhitao2,3,4; Dong, Fana2,3,4; Zhao, Tianyang2,3,4; Chao, Yang1,5,6,7,8
刊名GISCIENCE & REMOTE SENSING
出版日期2026-12-31
卷号63期号:1页码:2626630
关键词ENDBSI bare soil spectral index urban and rural regions
ISSN号1548-1603
DOI10.1080/15481603.2026.2626630
产权排序4
文献子类Article
英文摘要Bare soil is an important indicator for evaluating urbanisation and is essential for research on sustainable development. Traditional bare soil indices have limited applicability across different geographic regions and soil types and are sensitive to interference from impervious surfaces. Consequently, few indices are widely adopted for bare soil identification in both urban and rural environments. In this study, a new index, called the Enhanced Normalized Difference Bare Soil Index (ENDBSI), is developed by integrating the spectral characteristics of various land cover types across multiple study areas. The results show that the proposed index enables accurate bare soil extraction in both urban and rural environments. By validating the ENDBSI across 14 study areas in China, each dominated by a different soil type and consisting of urban and rural areas, the index is shown to consistently outperform existing bare soil indices for bare soil identification, namely, the Bare Soil Index (BSI), Normalized Difference Bare Soil Index (NDBSI), and Product Index for Dark Soil (PIDS). Moreover, it achieves a greater spectral contrast between bare soil and impervious surfaces, improving the accuracy of bare soil mapping. The ENDBSI demonstrates excellent performance in bare soil identification across all 14 study areas, with an average spectral discrimination index between bare soil and non-bare soil exceeding 2.41 and an average identification accuracy of 94.33%. The results highlight the index's strong applicability and transferability across diverse environments. These findings suggest that the ENDBSI is suitable for the large-scale remote sensing monitoring of bare soil and has the potential to significantly improve bare soil observation and mapping across China.
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WOS关键词SPECTRAL-MIXTURE-ANALYSIS ; IMPERVIOUS SURFACE ; LAND ; AREAS ; EROSION ; DEGRADATION ; EXTRACTION
WOS研究方向Physical Geography ; Remote Sensing
语种英语
WOS记录号WOS:001682020200001
出版者TAYLOR & FRANCIS LTD
源URL[http://ir.igsnrr.ac.cn/handle/311030/220938]  
专题资源与环境信息系统国家重点实验室_外文论文
通讯作者Tang, Bo-Hui
作者单位1.Shenzhen Univ, MNR Key Lab Geoenvironm Monitoring Great Bay Area, Shenzhen, Peoples R China;
2.Yunnan Int Joint Lab Integrated Sky Ground Intelli, Kunming, Peoples R China;
3.Kunming Univ Sci & Technol, Yunnan Key Lab Quantitat Remote Sensing, Kunming, Peoples R China;
4.Kunming Univ Sci & Technol, Fac Land Resource Engn, Kunming, Peoples R China;
5.Shenzhen Univ, State Key Lab Subtrop Bldg & Urban Sci, Shenzhen, Peoples R China
6.Shenzhen Univ, Sch Architecture & Urban Planning, Shenzhen, Peoples R China;
7.Shenzhen Univ, Shenzhen Key Lab Spatial Smart Sensing & Serv, Shenzhen, Peoples R China;
8.Shenzhen Univ, Guangdong Key Lab Urban Informat, Shenzhen, Peoples R China;
9.Chinese Acad Sci, Inst Geog Sci & Nat Resources Res, State Key Lab Resources & Environm Informat Syst, Beijing, Peoples R China;
推荐引用方式
GB/T 7714		 Chen, Junyi,Yu, Zhong,Tang, Bo-Hui,et al. ENDBSI: an Enhanced Normalized Difference Bare Soil Index for identifying the bare soil of urban and rural regions in China[J]. GISCIENCE & REMOTE SENSING,2026,63(1):2626630.
APA Chen, Junyi.,Yu, Zhong.,Tang, Bo-Hui.,Liang, Huang.,Fu, Zhitao.,...&Chao, Yang.(2026).ENDBSI: an Enhanced Normalized Difference Bare Soil Index for identifying the bare soil of urban and rural regions in China.GISCIENCE & REMOTE SENSING,63(1),2626630.
MLA Chen, Junyi,et al."ENDBSI: an Enhanced Normalized Difference Bare Soil Index for identifying the bare soil of urban and rural regions in China".GISCIENCE & REMOTE SENSING 63.1(2026):2626630.

入库方式： OAI收割

来源：地理科学与资源研究所

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