scholarly journals The results of the study of spatio-temporal changes in surface temperatures of Zaporizhya based on satellite data

2021 ◽  
Vol 8 (3) ◽  
Author(s):  
Lyidmila Lischenko ◽  
Alexandr Kudryashov
Keyword(s):  
Land Cover ◽  
Land Surface ◽  
Satellite Image ◽  
Effect Of Temperature ◽  
Maximum Increase ◽  
Industrial Facilities ◽  
Landscape Characteristics ◽  
Surface Temperatures ◽  
The Mean ◽  
The City

Zaporizhzhia is one of the largest industrial cities located in the central steppe part of Ukraine on both banks of the Dnieper. The presence of a large number of metallurgical, mechanical engineering, chemical and construction industrial facilities forms a powerful thermal island (UHI) which size varies in space and time. The distribution of surface temperatures within the thermal anomaly is influenced by the landscape-functional use of the territory and the established changes that occurred during the 33-year period according to the data obtained from the thermal channels of the Landsat series. The average increase in the land surface temperatures (LST) calculated for this period was 0.149 оС per year for July. The analysis of LST temperature curves according to the data of July and August has been carried out for three profiles that cross the majority of the landscape-functional areas of the city (residential, industrial and post-industrial). The landscape characteristics expressed in the satellite image as land cover are divided on the surface with a decreasing and increasing effect of temperature compared to the mean. Over time, a decrease in contrast between different land cover has been observed due to greater heating of the entire surface over the city and the establishment of a stable effect of UHI with an excess up to 14 оС in industrial areas. The annual increase in LST is in the range from 0.15 to 0.30 оС for the majority of the city. The maximum increase in temperature to 0.6 оС per year has been observed in the densely built-up Pivdennyi residential area and in the zones of industrial facilities in the Factory district of Zaporizhya. Only landscapes of water surfaces and separate agricultural croplands have a reducing thermal effect while the natural cover under meadows, wastelands and even wood vegetation within the city warms up to the mean values. Comparisons of the mean for the whole city of July and August LST has showed the rate of July to be 8 оС higher and temperature fluctuations in August become less amplitude by 2–3 оС.

Modelling future land use land cover changes and their impacts on land surface temperatures in Rajshahi, Bangladesh

2020 ◽  
Vol 18 ◽  
pp. 100314 ◽  
Author(s):  
Abdulla - Al Kafy ◽  
Md. Shahinoor Rahman ◽  
Abdullah-Al- Faisal ◽  
Mohammad Mahmudul Hasan ◽  
Muhaiminul Islam
Keyword(s):  
Land Use ◽  
Land Cover ◽  
Land Surface ◽  
Land Cover Changes ◽  
Land Use Land Cover ◽  
Surface Temperatures ◽  
Land Surface Temperatures

scholarly journals Spatial distribution of vegetation cover in Erbil city districts using high-resolution Pléiades satellite image

2018 ◽  
Vol 12 (1) ◽  
pp. 10-22 ◽  
Author(s):  
Shwan O. Hussein ◽  
Ferenc Kovács ◽  
Zalán Tobak ◽  
Haidi J. Abdullah
Keyword(s):  
Spatial Distribution ◽  
High Resolution ◽  
Land Cover ◽  
Vegetation Cover ◽  
Satellite Image ◽  
Green Spaces ◽  
Fast Growing ◽  
Normalised Difference Vegetation Index ◽  
Green Areas ◽  
The City

Green spaces are playing an essential role for ecological balance and for human health in the city as well.They play a fundamental role in providing opportunities for relaxation and enjoying the beauty of naturefor the urban population. Therefore, it is important to produce detailed vegetation maps to assist plannersin designing strategies for the optimisation of urban ecosystem services and to provide a suitable planfor climate change adaptation in one fast growing city. Hence, this research is an investigation using 0.5m high-resolution multispectral Pléiades data integrated with GIS data and techniques to detect andevaluate the spatial distribution of vegetation cover in Erbil City. A supervised classification was usedto classify different land cover types, and a normalised difference vegetation index (NDVI) was usedto retrieve it for the city districts. Moreover, to evaluate the accessibility of green space based on theirdistance and size, a buffer zone criterion was used. The results indicate that the built-up land coverageis 69% and vegetation land cover is 14%. Regarding NDVI results, the spatial distribution of vegetationcover was various and, in general, the lowest NDVI values were found in the districts located in the citycentre. On the other hand, the spatial distribution of vegetation land cover regarding the city districts wasnon-equal and non-concentric. The newly built districts and the districts far from the Central BusinessDistrict (CBD) recorded the lowest vegetation cover compared with the older constructed districts.Furthermore, most of the districts have a lack of access to green spaces based on their distance and size.Distance and accessibility of green areas throughout the city are not equally distributed. The majority ofthe city districts have access to green areas within radius buffer of two kilometres, whereas the lowestaccessibility observed for those districts located in the northeast of the city in particular (Xanzad,Brayate, Setaqan and Raperin). Our study is one of the first investigations of decision-making supportof the spatial planning in a fast-growing city in Iraq and will have a utilitarian impact on developmentprocesses and local and regional planning for Erbil City in the future.

scholarly journals Analysis and Modeling of Physiologic Equivalent Temperature of an Outdoor Environment

2020 ◽  
pp. 77-91
Author(s):  
Adinife P. Azodo ◽  
Salami O. Ismaila ◽  
Femi T. Owoeye ◽  
Titus Y. Jibatswen
Keyword(s):  
Land Cover ◽  
Ambient Temperature ◽  
Land Surface ◽  
Physiological Stress ◽  
Outdoor Environment ◽  
Mean Radiant Temperature ◽  
Equivalent Temperature ◽  
Physical Measurements ◽  
The Mean ◽  
Radiant Temperature

This study developed a model that depicts the relationship, strength, and direction of the causality between the predictor variables (microclimatic variables) and a response variable (ambient temperature) interpreted for the physiologic equivalent temperature of an environment. Data collected were microclimatic variables which include air circulation, relative humidity, mean radiant and ambient temperatures over land cover materials namely tarmac, grass, soil and concrete at the premises of Federal University Wukari, Taraba state of Nigeria at a guided height of 1.1 m. The data was collected using physical measurements with respect to time of the day; morning (8:00 – 9:00 am), afternoon (1:00 – 2:00 pm) and evening (6:00 – 7:00 pm) and season of the year; dry (November – March) and wet (April – October) from April 2016 to March 2017. Comparative analysis of the data obtained from the survey and that of the developed model gave percentage variation range of 0.5 – 6.8%. However, in both cases there is an association between the microclimatic variables and the ambient temperature on each of the considered materials, season and measurement intervals. The ranges of the physiological equivalent temperature for different grades of thermal sensation and physiological stress on the land cover materials in this study was 30.2 – 43.3 °C which of intense thermal range. The physiologic equivalent temperature analysis for the land cover materials showed that there was variation in the mean radiant temperature with intense thermal effect in season and measurement intervals. This study depicted that combined use of several land cover materials in a particular area has impact on the mean radiant temperature. This necessitate that the design of the land surface environment should be with due consideration to the convective heat exchange between the outdoor workers and the ambient environment for their thermal comfort and occupational heat stress.

scholarly journals Influence of Land Use and Land Cover Change on Land surface temperature

2021 ◽  
Vol 283 ◽  
pp. 01038
Author(s):  
Jing Sun ◽  
Jing He
Keyword(s):  
Land Use ◽  
Land Cover ◽  
Surface Temperature ◽  
Land Surface Temperature ◽  
Land Surface ◽  
Urban Expansion ◽  
Rapid Urbanization ◽  
Lulc Changes ◽  
The Mean ◽  
The Relationship

The rapid urbanization process has recently led to significant land use and land cover (LULC) changes, thereby affecting the climate and the environment. The purpose of this study is to analyze the LULC changes in Hefei City, Anhui Province, and their relationship with land surface temperature (LST). To achieve this goal, multitemporal Landsat data were used to monitor the LULC and LST between 2005 and 2015. The study also used correlation analysis to analyze the relationship between LST, LULC, and other spectral indices (NDVI, NDBI, and NDWI). The results show that the built-up land has expanded significantly, transforming from 488.26 km2 in 2005 to 575.64 km2 in 2015. It further shows that the mean LST in Hefei city has increased from 284.0 K in 2005 to 285.86 K in 2015. The results also indicate that there is a positive correlation between LST and NDVI and NDBI, while there is a negative correlation between LST and NDWI. This means that urban expansion and reduced water bodies will lead to an increase in LST.

scholarly journals Spatiotemporal Impacts of Urban Land Use/Land Cover Changes on Land Surface Temperature: A Comparative Study of Damascus and Aleppo (Syria)

Atmosphere ◽  
2021 ◽  
Vol 12 (8) ◽  
pp. 1037
Author(s):  
Mohamed Ali Mohamed
Keyword(s):  
Land Use ◽  
Land Cover ◽  
Surface Temperature ◽  
Land Surface Temperature ◽  
Vegetation Cover ◽  
Land Surface ◽  
Land Use Land Cover ◽  
Lulc Changes ◽  
Increasing Trend ◽  
The Mean

Monitoring the impact of changes in land use/land cover (LULC) and land surface temperature (LST) is of great importance in environmental and urban studies. In this context, this study aimed to analyze the dynamics of LULC and its impact on the spatiotemporal variation of the LST in the two largest urban cities in Syria, Damascus, and Aleppo. To achieve this, LULC changes, normalized difference vegetation index (NDVI), and LST were calculated from multi-temporal Landsat data for the period 2010 to 2018. The study revealed significant changes in LULC, which were represented by a decrease in agricultural land and green areas and an increase in bare areas in both cities. In addition, built-up areas decreased in Aleppo and increased in Damascus during the study period. The temporal and spatial variation of the LST and its distribution pattern was closely related to the effect of changes in LULC as well as to land use conditions in each city. This effect was greater in Aleppo than in Damascus, where Aleppo recorded a higher increase in the mean LST, by about 2 °C, than in Damascus, where it was associated with greater degradation and loss of vegetation cover. In general, there was an increasing trend in the minimum and maximum LST as well as an increasing trend in the mean LST in both cities. The negative linear relationship between LST and NDVI confirms that vegetation cover can help reduce LST in both cities. This study can draw the attention of relevant departments to pay more attention to mitigating the negative impact of LULC changes in order to limit the increase in LST.

scholarly journals Analysis of the Spatial and Temporal Evolution of Land Cover and Heat Island Effects in Six Districts of Chongqing’s Main City

Sensors ◽  
2019 ◽  
Vol 19 (23) ◽  
pp. 5239
Author(s):  
Qin Lang ◽  
Wenping Yu ◽  
Mingguo Ma ◽  
Jianguang Wen
Keyword(s):  
Land Cover ◽  
Land Surface ◽  
Impervious Surface ◽  
Land Cover Type ◽  
Heat Island ◽  
Landsat Images ◽  
Cover Type ◽  
Island Effect ◽  
The Mean ◽  
Main City

The urban heat island effect has always been one of the hottest issues in urban development. In this study, Landsat images from the summers of 2001, 2004, 2009, 2014 and 2018 were used to identify land cover type in six districts of Chongqing’s main city. Land cover was categorized as water, vegetation or impervious surface with the object-oriented method. Land surface temperature (LST) data was calculated with the atmospheric radiation transfer equation method, and was then divided into different heat island intensity grades. Next, the spatial and temporal changes in land cover type and heat island effect were analyzed in the six districts. Center migration analysis and heat island coefficients were used to quantitatively reflect the spatiotemporal evolution relationship between land cover and heat island effect. All six districts exhibited a trend of expanding impervious surface, with a 419.38% increase from 2001 to 2018, and shrinking vegetation, with a 17.81% decrease from 2001 to 2018. Also from 2001 to 2018, Yuzhong District had the most significant heat island effect, with a heat island coefficient 0.35 higher than the mean value of the whole study area. The impervious surface center migrated in different directions in each district. Both the direction and the corresponding velocity of the impervious surface and heat island centers were tightly correlated, with a correlation coefficient of 0.53. Relative heat island coefficients (the difference from the mean) of water ranged from −2.08 to −1.17 in different districts. That of impervious surface ranged from 1.60 to 1.93, and that of vegetation ranged from −0.22 to 1.09. The internal heterogeneity of land cover and heat island effect in Chongqing’s main city was huge. This study quantitatively analyzed the evolution of the heat island effect in the study area to help provide each district with some targeted suggestions for future urban planning.

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