scholarly journals Analysis of Urban Surface Temperature Using Remote Sensing and Geographic Information System (GIS)

2021 ◽  
Vol 4 (4) ◽  
pp. p16
Author(s):  
Bernard Tarza Tyubee ◽  
Raymond NlemadimChima Anyadike

The study analysed variation in surface temperature (ST) in Makurdi Urban Area (MUA), Northcentral Nigeria. A total of 12 Landsat TM/ETM+ images were acquired in January, April and June of 1991, 1996, 2001 and 2006. The ST was estimated from the 12 Landsat TM/ETM+ images, grouped into seven classes, and the area of each ST class was determined using remote sensing and Geographic Information System (GIS). The ST magnitudes vary spatially from 27.5oC (water bodies) to 50.7oC (built-up land), representing an intensity of 23.2oC. The mean seasonal ST varies from 32.4oC-34.5oC (cool-dry season), 35.5oC-38.8oC (hot-dry season) and 30.8oC-31.4oC (hot-wet season). The mean annual ST has increased from 32.9oC (1991) to 35.9oC (2006) with ST intensity of 3.0oC. The ST classes of 27oC-29oC and 33oC-37oC recorded the highest loss and gain in area of -126.5km2 and 94.5km2 whereas ST classes of 29oC-33oC and 41oC-45oC recorded the least and highest per centage change in area of 22% and 768%. The result showed decreasing and increasing trends in the areas of cooler and warmer surfaces, which are attributed to increase in anthropogen surface materials, with higher heat storage capacities, due to urbanisation.

2021 ◽  
Vol 13 (9) ◽  
pp. 1818
Author(s):  
Lisha Ding ◽  
Lei Ma ◽  
Longguo Li ◽  
Chao Liu ◽  
Naiwen Li ◽  
...  

Flash floods are among the most dangerous natural disasters. As climate change and urbanization advance, an increasing number of people are at risk of flash floods. The application of remote sensing and geographic information system (GIS) technologies in the study of flash floods has increased significantly over the last 20 years. In this paper, more than 200 articles published in the last 20 years are summarized and analyzed. First, a visualization analysis of the literature is performed, including a keyword co-occurrence analysis, time zone chart analysis, keyword burst analysis, and literature co-citation analysis. Then, the application of remote sensing and GIS technologies to flash flood disasters is analyzed in terms of aspects such as flash flood forecasting, flash flood disaster impact assessments, flash flood susceptibility analyses, flash flood risk assessments, and the identification of flash flood disaster risk areas. Finally, the current research status is summarized, and the orientation of future research is also discussed.


2014 ◽  
Vol 3 (2) ◽  
Author(s):  
Tülay TUNÇAY ◽  
İlhami BAYRAMİN ◽  
Hasan Sabri ÖZTÜRK ◽  
Mümtaz KİBAR ◽  
Oğuz BAŞKAN

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