Multiscale Analysis of Census-Based Land Surface Temperature Variations and Determinants in Indianapolis, United States

2008 ◽  
Vol 134 (3) ◽  
pp. 129-139 ◽  
Author(s):  
Bingqing Liang ◽  
Qihao Weng
2019 ◽  
Vol 9 (1) ◽  
Author(s):  
Cherdchai Me-ead ◽  
Rhysa McNeil

AbstractThis study aims to identify patterns and trends of the night land surface temperature over eight day period from 2000 to 2014 in Africa using statistical analysis. Data were obtained from the United States National Aeronautics and Space Administration satellite, comprising 99 locations of 5° by 5° latitude and longitude grid-boxes between latitudes 35° north and south of the equator and longitudes 20° west to 50° east. First, the variation in the night surface temperatures was removed. Then, the trend of seasonally adjusted night temperatures was estimated using linear regression. The correlations between adjoining regions were considered by using factor analysis to classify the temperatures into four regions. Cubic spline models were fitted to the data within these regions to investigate patterns of the temperatures. The result showed that temperatures in most regions of Africa increased. The temperatures decreased was observed in southern Africa and parts of central and eastern Africa.


2012 ◽  
Vol 119 ◽  
pp. 315-324 ◽  
Author(s):  
William L. Crosson ◽  
Mohammad Z. Al-Hamdan ◽  
Sarah N.J. Hemmings ◽  
Gina M. Wade

2018 ◽  
Vol 10 (3) ◽  
pp. 66-77
Author(s):  
Rosana Amaral Carrasco ◽  
Lucas Prado Osco ◽  
Rejane Ennes Cicerelli ◽  
Paulo Antônio Silva ◽  
Ana Paula Marques Ramos

Anthropogenic actions cause changes in the natural dynamics of the landscape, such as variations in climate and land use. Land Surface Temperature (LST) is one of the main physical parameters Recebido em: 27/08/2018Revisado em: 04/09/2018Aprovado em: 06/09/2018 67Colloquium Exactarum, v. 10, n.3,Jul-Set. 2018, p.66–77. DOI: 10.5747/ce.2018.v10.n3.e246of terrestrial surface processes. The importance of LST is increasingly recognized and there is a strong interest in developing methodologies for measuring LST using orbital platforms, such as the Landsat series. This work aims to verify if there was a change in the LST in the region of Pontal doParanapanema from the LST recorded by the Landsat series over the last 30 years. We adopted orbital images from Landsat5 TM and Landsat8 OLI satelliteto extract the LST value, and thenwe evaluated the LST variation at the studied area. A correlation was found between the LST variation and the type of land use and land cover. The urban areas, pasture, agriculture, vegetation and watercourses showed discrepancies in temperature when compared to each other. At Pontal, there were variations of 5 ° C of the average LST, between maximum and minimum temperatures. We concluded that temperature variations are associated with the dynamics of land use.


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