NDBSI: A normalized difference bare soil index for remote sensing to improve bare soil mapping accuracy in urban and rural areas
文献类型：期刊论文
| 作者 | Liu, Ying1,4; Meng, Qingyan2,3,4; Zhang, Linlin2,3,4; Wu, Chaoyang1,4 |
| 刊名 | CATENA
 |
| 出版日期 | 2022-07-01 |
| 卷号 | 214页码:11 |
| 关键词 | Land cover Bare soil Normalized difference bare soil index (NDBSI) Spectral Remote sensing |
| ISSN号 | 0341-8162 |
| DOI | 10.1016/j.catena.2022.106265 |
| 通讯作者 | Meng, Qingyan(mengqy@radi.ac.cn) |
| 英文摘要 | As a component of the Earth's land surface, bare soil is an important indicator of urbanization and therefore plays an irreplaceable role in regional ecosystems. Given that the spectral signatures of bare soil are complicated and easily confused with impervious surfaces, few soil spectral indices have been purposed and widely used. In this study, we developed a soil index, the normalized difference bare soil index (NDBSI), by analyzing the spectral characteristics of multiple soil types. Using Landsat 8 OLI images from six urban and rural areas in China, we found that NDBSI was more effective in mapping bare soil than currently used indices (i.e. bare soil index (BI), product index for dark soil (PIDS), and biophysical composition index (BCI)), especially in distinguishing between bare soil and impervious surface. Moreover, NDBSI showed good performance in identifying bare soil from red brick, which is helpful for soil mapping in industrial urban areas, where red brick is widely used as roofing materials. Our study may be the first attempt to develop a soil index considering the spectral characteristics of various soil types and verify its effectiveness in multiple regions. More validation of NDBSI with remote sensing images with different spatial resolution will facilitate its applications, and ultimately promote more accurate soil mapping in the future. |
| WOS关键词 | SPECTRAL MIXTURE ANALYSIS ; BIOPHYSICAL COMPOSITION INDEX ; LAND-COVER CHANGE ; IMPERVIOUS SURFACE ; VEGETATION INDEX ; TAMPA BAY ; CLASSIFICATION ; INDIANAPOLIS ; ENVIRONMENT |
| 资助项目 | Major Program of National Natural Science Foundation of China[42192584] ; National Natural Science Foundation of China[42171357] ; Major Projects of High Resolution Earth Observation Systems of National Science and Technology[05-Y30B01-9001-19/20-1] |
| WOS研究方向 | Geology ; Agriculture ; Water Resources |
| 语种 | 英语 |
| WOS记录号 | WOS:000797993300003 |
| 出版者 | ELSEVIER |
| 资助机构 | Major Program of National Natural Science Foundation of China ; National Natural Science Foundation of China ; Major Projects of High Resolution Earth Observation Systems of National Science and Technology |
| 源URL | [http://ir.igsnrr.ac.cn/handle/311030/177418]  |
| 专题 | 中国科学院地理科学与资源研究所 |
| 通讯作者 | Meng, Qingyan |
| 作者单位 | 1.Chinese Acad Sci, Inst Geog Sci & Nat Resources Res, Key Lab Land Surface Pattern & Simulat, Beijing 100101, Peoples R China 2.Chinese Acad Sci, Aerosp Informat Res Inst, Beijing 100094, Peoples R China 3.Chinese Acad Sci, Hainan Res Inst, Aerosp Informat Res Inst, Key Lab Earth Observat Hainan Prov, Sanya 572029, Peoples R China 4.Univ Chinese Acad Sci, Beijing 100049, Peoples R China |
| 推荐引用方式 GB/T 7714 | Liu, Ying,Meng, Qingyan,Zhang, Linlin,et al. NDBSI: A normalized difference bare soil index for remote sensing to improve bare soil mapping accuracy in urban and rural areas[J]. CATENA,2022,214:11. |
| APA | Liu, Ying,Meng, Qingyan,Zhang, Linlin,&Wu, Chaoyang.(2022).NDBSI: A normalized difference bare soil index for remote sensing to improve bare soil mapping accuracy in urban and rural areas.CATENA,214,11. |
| MLA | Liu, Ying,et al."NDBSI: A normalized difference bare soil index for remote sensing to improve bare soil mapping accuracy in urban and rural areas".CATENA 214(2022):11. |
入库方式： OAI收割
来源：地理科学与资源研究所
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