DOI: 10.1016/j.jag.2015.06.007
Scopus记录号: 2-s2.0-84943643313
论文题名: Characterizing bi-temporal patterns of land surface temperature using landscape metrics based on sub-pixel classifications from Landsat TM/ETM+
作者: Zhang Y ; , Balzter H ; , Zou C ; , Xu H ; , Tang F
刊名: International Journal of Applied Earth Observation and Geoinformation
ISSN: 15698432
出版年: 2015
卷: 42 起始页码: 87
结束页码: 96
语种: 英语
英文关键词: Land surface temperature
; Landscape metrics
; Linear spectral unmixing
; Percent impervious surface area
; Threshold continuum
; Urban
Scopus关键词: image classification
; land cover
; land surface
; Landsat thematic mapper
; pixel
; quantitative analysis
; seasonal variation
; spatial distribution
; surface temperature
; urban area
英文摘要: Landscape patterns in a region have different sizes, shapes and spatial arrangements, which contribute to the spatial heterogeneity of the landscape and are linked to the distinct behavior of thermal environments. There is a lack of research generating landscape metrics from discretized percent impervious surface area data (ISA), which can be used as an indicator of urban spatial structure and level of development, and quantitatively characterizing the spatial patterns of landscapes and land surface temperatures (LST). In this study, linear spectral mixture analysis (LSMA) is used to derive sub-pixel ISA. Continuous fractional cover thresholds are used to discretize percent ISA into different categories related to urban land cover patterns. Landscape metrics are calculated based on different ISA categories and used to quantify urban landscape patterns and LST configurations. The characteristics of LST and percent ISA are quantified by landscape metrics such as indices of patch density, aggregation, connectedness, shape and shape complexity. The urban thermal intensity is also analyzed based on percent ISA. The results indicate that landscape metrics are sensitive to the variation of pixel values of fractional ISA, and the integration of LST, LSMA. Landscape metrics provide a quantitative method for describing the spatial distribution and seasonal variation in urban thermal patterns in response to associated urban land cover patterns. © 2015 Elsevier B.V. Citation statistics:
资源类型: 期刊论文
标识符: http://119.78.100.158/handle/2HF3EXSE/79563
Appears in Collections: 气候变化事实与影响
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作者单位: College of Geography, Fujian Normal University, Fuzhou, China; University of Leicester, Centre for Landscape and Climate Research, University Road, Leicester, United Kingdom; National Centre for Earth Observation, University of Leicester, University Road, Leicester, United Kingdom; College of Environment and Resources, Fuzhou University, Fuzhou, China
Recommended Citation:
Zhang Y,, Balzter H,, Zou C,et al. Characterizing bi-temporal patterns of land surface temperature using landscape metrics based on sub-pixel classifications from Landsat TM/ETM+[J]. International Journal of Applied Earth Observation and Geoinformation,2015-01-01,42