NDLI: Analysis of land surface temperature spatial heterogeneity using variogram model

Content Provider	IEEE Xplore Digital Library
Author	Tian Hu Qinhuo Liu Yongming Du Hua Li Huaguo Huang
Copyright Year	2015
Description	Author affiliation: State Key Lab. of Remote Sensing Sci., Inst. of Remote Sensing & Digital Earth, Beijing, China (Tian Hu; Qinhuo Liu; Yongming Du; Hua Li) \|\| Key Lab. of Silviculture & Conservation of Minist. of Educ., Beijing Forestry Univ., Beijing, China (Huaguo Huang)
Abstract	This study analyzed the relationship between the spatial heterogeneity of land surface temperature (LST) and the spatial scale using the Thermal Airborne Hyperspectral Imager (TASI) and satellite-based Advanced Spaceborne Thermal Emission Reflection (ASTER) data. The spatial heterogeneity of LST was quantified using variogram modeling in univariate and multivariate method. The results show that in both methods, the spatial heterogeneity of LST in a landscape as quantified by the dispersion variance increases with the spatial scale until the scale is larger than the characteristic scale, and the land cover types have significant influences on the spatial heterogeneity of LST. Additionally, the spatial heterogeneity of the land surface decreases obviously as the wavelength increases in the multivariate model.
Starting Page	132
Ending Page	135
File Size	662136
Page Count	4
File Format	PDF
e-ISBN	9781479979295
DOI	10.1109/IGARSS.2015.7325716
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2015-07-26
Publisher Place	Italy
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Land surface temperature Dispersion Land surface Atmospheric modeling Spatial resolution Remote sensing Surface waves characteristic scale LST Spatial heterogeneity spatial scale variogram dispersion variance
Content Type	Text
Resource Type	Article

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