A novel spectral index for mapping blue colour-coated steel roofs (BCCSRs) in urban areas using Sentinel-2 data

被引:6
|
作者
Zhao, Chuanwu [1 ,2 ,4 ]
Pan, Yaozhong [1 ,2 ,3 ]
机构
[1] Beijing Normal Univ, Fac Geog Sci, State Key Lab Remote Sensing, Beijing, Peoples R China
[2] Beijing Normal Univ, Key Lab Environm Change & Nat Disasters, Chinese Minist Educ, Beijing, Peoples R China
[3] Qinghai Normal Univ, Acad Plateau Sci & Sustainabil, Xining, Peoples R China
[4] Beijing Normal Univ, Fac Geog Sci, Beijing Engn Res Ctr Global Land Remote Sensing Pr, Beijing, Peoples R China
基金
中国国家自然科学基金;
关键词
Blue colour-coated steel roof; Large-scale mapping; Surface energy budget; Sentinel; 2; Landsat; 8;
D O I
10.1080/17538947.2023.2241427
中图分类号
P9 [自然地理学];
学科分类号
0705 ; 070501 ;
摘要
Blue colour-coated steel roofs (BCCSRs) offer a lightweight and economical option to concrete and other cladding in buildings, but they are also controversial for altering the surface energy budget and water cycle. Obtaining spatial information about BCCSRs is crucial for exploring the environmental impacts of man-made landscapes. However, existing methods are not always effective due to the variety of BCCSR types and background conditions. To overcome these limitations, we proposed a new index (called BCCSI) based on Sentinel-2 multispectral images to map the commonly used BCCSRs. Five typical study areas were chosen worldwide to develop and validate the BCCSI. Based on spectral analysis, we constructed the BCCSI using the blue, red, green, and shortwave infrared 2 (SWIR2) bands to highlight the BCCSR while suppressing the background condition. Compared with five existing indices, the BCCSI was effective in the visual evaluation, separability analysis and BCCSR mapping. Moreover, the BCCSI achieved similar accuracy to the supervised classifier while avoiding the time-consuming and laborious effort of sample collection. Furthermore, the BCCSI showed its applicability in medium-resolution satellite data, such as Landsat-8 imagery. Thus, the proposed BCCSI provides a viable scheme for global BCCSR mapping and analysis.
引用
收藏
页码:2862 / 2884
页数:23
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