DOI: 10.1016/j.jag.2015.02.010
Scopus记录号: 2-s2.0-84943527648
论文题名: RNDSI: A ratio normalized difference soil index for remote sensing of urban/suburban environments
作者: Deng Y ; , Wu C ; , Li M ; , Chen R
刊名: International Journal of Applied Earth Observation and Geoinformation
ISSN: 15698432
出版年: 2015
卷: 39 起始页码: 40
结束页码: 48
语种: 英语
英文关键词: Biophysical composition index (BCI)
; Enhanced built-up and bareness index (EBBI)
; Land use land cover change (LUCC)
; Soil index Ratio normalized difference soil index (RNDSI)
Scopus关键词: abundance index
; biophysics
; land cover
; land use change
; Landsat thematic mapper
; NDVI
; remote sensing
; satellite imagery
; soil
; urban planning
英文摘要: Understanding land use land cover change (LULCC) is a prerequisite for urban planning and environment management. For LULCC studies in urban/suburban environments, the abundance and spatial distributions of bare soil are essential due to its biophysically different properties when compared to anthropologic materials. Soil, however, is very difficult to be identified using remote sensing technologies majorly due to its complex physical and chemical compositions, as well as the lack of a direct relationship between soil abundance and its spectral signatures. This paper presents an empirical approach to enhance soil information through developing the ratio normalized difference soil index (RNDSI). The first step involves the generation of random samples of three major land cover types, namely soil, impervious surface areas (ISAs), and vegetation. With spectral signatures of these samples, a normalized difference soil index (NDSI) was proposed using the combination of bands 7 and 2 of Landsat Thematic Mapper Image. Finally, a ratio index was developed to further highlight soil covers through dividing the NDSI by the first component of tasseled cap transformation (TC1). Qualitative (e.g., frequency histogram and box charts) and quantitative analyses (e.g., spectral discrimination index and classification accuracy) were adopted to examine the performance of the developed RNDSI. Analyses of results and comparative analyses with two other relevant indices, biophysical composition index (BCI) and enhanced built-up and bareness Index (EBBI), indicate that RNDSI is promising in separating soil from ISAs and vegetation, and can serve as an input to LULCC models. © 2015 Elsevier B.V. Citation statistics:
资源类型: 期刊论文
标识符: http://119.78.100.158/handle/2HF3EXSE/79474
Appears in Collections: 气候变化事实与影响
There are no files associated with this item.
作者单位: Department of Geography, University of Wisconsin-Milwaukee, P.O. Box 413, Milwaukee, WI, United States; Institute of Remote Sensing and Digital Earth, Chinese Academy of Sciences, Beijing, China; Key Laboratory of Remote Sensing Monitoring of Geographic Environment, Harbin Normal University, Heilongjiang, China; School of Geography Science, South China Normal University, Guangzhou, China
Recommended Citation:
Deng Y,, Wu C,, Li M,et al. RNDSI: A ratio normalized difference soil index for remote sensing of urban/suburban environments[J]. International Journal of Applied Earth Observation and Geoinformation,2015-01-01,39