2012
DOI: 10.1016/j.jag.2012.06.002
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Land surface emissivity retrieval based on moisture index from LANDSAT TM satellite data over heterogeneous surfaces of Delhi city

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Cited by 93 publications
(40 citation statements)
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“…Central, northern and eastern Delhi are relatively cooler, with the exception of a few patches (Figure 4d). Similar results were revealed for LST in the autumn season over Delhi by Mallick et al [26] using a Landsat TM image of 25 October 2009. According to them, the LST ranged from 22.2 °C to 46 °C with west and south-western part of Delhi exhibiting the highest surface temperature (35-44 °C).…”
Section: Resultssupporting
confidence: 86%
See 1 more Smart Citation
“…Central, northern and eastern Delhi are relatively cooler, with the exception of a few patches (Figure 4d). Similar results were revealed for LST in the autumn season over Delhi by Mallick et al [26] using a Landsat TM image of 25 October 2009. According to them, the LST ranged from 22.2 °C to 46 °C with west and south-western part of Delhi exhibiting the highest surface temperature (35-44 °C).…”
Section: Resultssupporting
confidence: 86%
“…Weng et al [24] estimated LST in relation to vegetation abundance. Amiri et al [25] presented research on the city of Tabriz, Iran and Mallick et al [26] presented relationship between changing land use/cover, surface temperature and emissivity for Delhi, India. MODIS and ASTER data is largely used to understand differences in day and night time UHI effect.…”
Section: Introductionmentioning
confidence: 99%
“…Some use bivariate correlation to measure the direction and strength of the impact of each land use type [37,42,49]. Another group uses simple linear regression models so that the impact of each type on temperature can be quantified individually [80][81][82]. Others take best subset regressions that selectively incorporate land use types into the regression model to obtain the best fitted curve [26,38,47,74].…”
Section: Discussionmentioning
confidence: 99%
“…The emissivities of most terrestrial materials lies between 0.7 and 1 [1], however, surfaces that have emissivities less than 0.85 are likely to be found in deserts [1,25]. It is important to estimate LSE, as it reduces the errors during the estimation of LST from space [26]. Unlike the emissivity of water bodies such as oceans, the emissivity of land surfaces may significantly differ from one place to another [16].…”
Section: Estimation Of Land Surface Emissivity (Lse)mentioning
confidence: 99%