An assessment of spatio-temporal variability of land surface temperature using MODIS data: A study of Gujarat state, India

2017 ◽  
Vol 11 (4) ◽  
pp. e12312 ◽  
Author(s):  
Shashikant Patel ◽  
Janak P. Joshi ◽  
Bindu Bhatt
Keyword(s):  
Surface Temperature ◽  
Land Surface Temperature ◽  
Temporal Variability ◽  
Land Surface ◽  
Gujarat State ◽  
Modis Data ◽  
Spatio Temporal

scholarly journals Spatio-Temporal Variability in Land Surface Temperature and Its Relationship with Vegetation Types over Ibadan, South-Western Nigeria

2018 ◽  
Vol 08 (03) ◽  
pp. 318-336 ◽  
Author(s):  
Blessing Bolarinwa Fabeku ◽  
Ifeoluwa Adebowale Balogun ◽  
Suleiman Abdul-Azeez Adegboyega ◽  
Orimoloye Ipoola Faleyimu
Keyword(s):  
Surface Temperature ◽  
Land Surface Temperature ◽  
Temporal Variability ◽  
Land Surface ◽  
Vegetation Types ◽  
Spatio Temporal

scholarly journals Clarifying the role of radiative mechanisms in the spatio-temporal changes of land surface temperature across the Horn of Africa

2019 ◽  
Vol 221 ◽  
pp. 210-224 ◽  
Author(s):  
Temesgen Alemayehu Abera ◽  
Janne Heiskanen ◽  
Petri Pellikka ◽  
Miina Rautiainen ◽  
Eduardo Eiji Maeda
Keyword(s):  
Surface Temperature ◽  
Land Surface Temperature ◽  
Land Surface ◽  
Temporal Changes ◽  
Horn Of Africa ◽  
Spatio Temporal

scholarly journals Comparison of Land Surface Temperature During and Before the Emergence of Covid-19 using Modis Imagery in Wuhan City, China

2020 ◽  
Vol 34 (1) ◽  
Author(s):  
Hamim Zaky Hadibasyir ◽  
Seftiawan Samsu Rijal ◽  
Dewi Ratna Sari
Keyword(s):  
Surface Temperature ◽  
Land Surface Temperature ◽  
Land Surface ◽  
Anthropogenic Activities ◽  
Temporal Analysis ◽  
The Past ◽  
Modis Imagery ◽  
Rapid Transmission ◽  
The Mean ◽  
Spatio Temporal

Coronavirus disease (COVID-19) was firstly identified in Wuhan, China. By 23rd January 2020, China’s Government made a decision to execute lockdown policy in Wuhan due to the rapid transmission of COVID-19. It is essential to investigate the land surface temperature (LST) dynamics due to changes in level of anthropogenic activities. Therefore, this study aims (1) to investigate mean LST differences between during, i.e., December 2019 to early March 2020, and before the emergence of COVID-19 in Wuhan; (2) to conduct spatio-temporal analysis of mean LST with regards to lockdown policy; and (3) to examine mean LST differences for each land cover type. MODIS data consist of MOD11A2 and MCD12Q1 were employed. The results showed that during the emergence of COVID-19 with lockdown policy applied, the mean LST was lower than the mean LST of the past three years on the same dates. Whereas, during the emergence of COVID-19 without lockdown policy applied, the mean LST was relatively higher than the mean LST of the past three years. In addition, the mean LST of built-up areas experienced the most significant differences between during the emergence of COVID-19 with lockdown policy applied in comparison to the average of the past three years.

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