scholarly journals Análise das Mudanças Ambientais Provocadas pela Expansão Urbana na Cidade de Mossoró-RN, Através do Uso de Técnicas de Sensoriamento Remoto (Environment Change Analysis Due Urban Expansion in Mossoró-RN City, with Remote Sensing)

2014 ◽  
Vol 7 (4) ◽  
pp. 636
Author(s):  
Francisco Das Chagas Araujo Nascimento ◽  
Fabiane Regina Da Cunha Dantas Araújo ◽  
Carlos Antonio Costa dos Santos ◽  
Elder Guedes dos Santos

Este trabalho tem como objetivo analisar com base no albedo da superfície, no índice de vegetação por diferença normalizada (IVDN), na temperatura da superfície e no saldo de radiação, as alterações ocorridas na cidade de Mossoró-RN provenientes do aumento da área urbanizada nos anos de 1994 a 2009. Utilizou-se 3 imagens do Mapeador Temático do satélite LANDSAT-5 dos dias 06 de julho de 1994, 06 de julho de 2000 e 31 de julho 2009. O processamento das imagens foi desenvolvido através da ferramenta Model Maker do software ERDAS Image. Os resultados mostraram que a medida que ocorre a aproximação em direção a região central da cidade as maiores temperaturas são registradas e com o distanciamento as temperaturas caem em torno de 3 a 5K. A implantação das construções civis aumentaram as áreas com baixos valores de IVDN por conta da retirada da cobertura da vegetação nativa. A supressão de áreas verdes na região estudada e sua substituição por estruturas urbanas como asfalto e concreto, resultaram no aumento da quantidade de energia disponível para aquecimento, justificando o aumento da temperatura da superfície. Ao longo dos 15 anos decorridos de 1994 a 2009 o crescimento urbano foi visível e consequentemente o aumento do calor aprisionado, podendo assim o centro urbano de Mossoró ser considerado uma ilha de calor urbano.  ABSTRACT This work aims to analyze based on surface albedo, the index of normalized difference vegetation (NDVI), in surface temperature and net radiation, the changes occurred in the town of Mossoró–RN from the increase in urbanized area in the years 1994-2009. We used 3 pictures of the Thematic Mapper satellite LANDSAT – 5 of days July 6, 1994, July 6, 2000 and July 31, 2009. The image processing was developed through the Model Maker tool of ERDAS Image software. The results showed that occurs as the approximation toward the center of the city the highest temperatures are recorded and distancing temperatures drop to around 3 to 5K. The implementation of civil buildings increased areas with low values NDVI due to the removal of native vegetation cover. Suppression of green areas in the study area and its replacement by urban structures such as asphalt and concrete, resulted in increased the amount of energy available for heating, justifies the increase of surface temperature. Over the 15 years elapsed from 1994 to 2009 urban growth was visible and thus increasing the heat trapped, can thus urban center of Mossley be considered an urban heat island. Keywords: urban expansion, heating, vegetation 

Atmosphere ◽  
2020 ◽  
Vol 11 (2) ◽  
pp. 123 ◽  
Author(s):  
Guglielmina Mutani ◽  
Valeria Todeschi

There is growing attention to the use of greenery in urban areas, in various forms and functions, as an instrument to reduce the impact of human activities on the urban environment. The aim of this study has been to investigate the use of green roofs as a strategy to reduce the urban heat island effect and to improve the thermal comfort of indoor and outdoor environments. The effects of the built-up environment, the presence of vegetation and green roofs, and the urban morphology of the city of Turin (Italy) have been assessed considering the land surface temperature distribution. This analysis has considered all the information recorded by the local weather stations and satellite images, and compares it with the geometrical and typological characteristics of the city in order to find correlations that confirm that greenery and vegetation improve the livability of an urban context. The results demonstrate that the land-surface temperature, and therefore the air temperature, tend to decrease as the green areas increase. This trend depends on the type of urban context. Based on the results of a green-roofs investigation of Turin, the existing and potential green roofs are respectively almost 300 (257,380 m2) and 15,450 (6,787,929 m2). Based on potential assessment, a strategy of priority was established according to the characteristics of building, to the presence of empty spaces, and to the identification of critical areas, in which the thermal comfort conditions are poor with low vegetation. This approach can be useful to help stakeholders, urban planners, and policy makers to effectively mitigate the urban heat island (UHI), improve the livability of the city, reduce greenhouse gas (GHG) emissions and gain thermal comfort conditions, and to identify policies and incentives to promote green roofs.


2020 ◽  
Vol 12 (21) ◽  
pp. 3491 ◽  
Author(s):  
Mingxing Chen ◽  
Yuan Zhou ◽  
Maogui Hu ◽  
Yaliu Zhou

Global large-scale urbanization has a deep impact on climate change and has brought great challenges to sustainable development, especially in urban agglomerations. At present, there is still a lack of research on the quantitative assessment of the relationship between urban scale and urban expansion and the degree of the urban heat island (UHI) effect, as well as a discussion on mitigation and adaptation of the UHI effect from the perspective of planning. This paper analyzes the regional urbanization process, average surface temperature variation characteristics, surface urban heat island (SUHI), which reflects the intensity of UHI, and the relationship between urban expansion, urban scale, and the UHI in the Beijing–Tianjin–Hebei (BTH) urban agglomeration using multi-source analysis of data from 2000, 2005, 2010, and 2015. The results show that the UHI effect in the study area was significant. The average surface temperature of central areas was the highest, and decreased from central areas to suburbs in the order of central areas > expanding areas > rural residential areas. From the perspective of spatial distribution, in Beijing, the southern part of the study area, the junction of Tianjin, Langfang, and Cangzhou are areas with intense SUHI. The scale and pace of expansion of urban land in Beijing were more than in other cities, the influencing range of SUHI in Beijing increased obviously, and the SUHI of central areas was most intense. The results indicate that due to the larger urban scale of the BTH urban agglomeration, it will face a greater UHI effect. The UHI effect was also more significant in areas of dense distribution in cities within the urban agglomeration. Based on results and existing research, planning suggestions are proposed for central areas with regard to expanding urban areas and suburbs to alleviate the urban heat island effect and improve the resilience of cities to climate change.


2019 ◽  
Vol 11 (12) ◽  
pp. 1449 ◽  
Author(s):  
Carlos Granero-Belinchon ◽  
Aurelie Michel ◽  
Jean-Pierre Lagouarde ◽  
Jose A. Sobrino ◽  
Xavier Briottet

Urban Heat Islands (UHIs) at the surface and canopy levels are major issues in urban planification and development. For this reason, the comprehension and quantification of the influence that the different land-uses/land-covers have on UHIs is of particular importance. In order to perform a detailed thermal characterisation of the city, measures covering the whole scenario (city and surroundings) and with a recurrent revisit are needed. In addition, a resolution of tens of meters is needed to characterise the urban heterogeneities. Spaceborne remote sensing meets the first and the second requirements but the Land Surface Temperature (LST) resolutions remain too rough compared to the urban object scale. Thermal unmixing techniques have been developed in recent years, allowing LST images during day at the desired scales. However, while LST gives information of surface urban heat islands (SUHIs), canopy UHIs and SUHIs are more correlated during the night, hence the development of thermal unmixing methods for night LSTs is necessary. This article proposes to adapt four empirical unmixing methods of the literature, Disaggregation of radiometric surface Temperature (DisTrad), High-resolution Urban Thermal Sharpener (HUTS), Area-To-Point Regression Kriging (ATPRK), and Adaptive Area-To-Point Regression Kriging (AATPRK), to unmix night LSTs. These methods are based on given relationships between LST and reflective indices, and on invariance hypotheses of these relationships across resolutions. Then, a comparative study of the performances of the different techniques is carried out on TRISHNA synthesized images of Madrid. Since TRISHNA is a mission in preparation, the synthesis of the images has been done according to the planned specification of the satellite and from initial Aircraft Hyperspectral Scanner (AHS) data of the city obtained during the DESIREX 2008 capaign. Thus, the coarse initial resolution is 60 m and the finer post-unmixing one is 20 m. In this article, we show that: (1) AATPRK is the most performant unmixing technique when applied on night LST, with the other three techniques being undesirable for night applications at TRISHNA resolutions. This can be explained by the local application of AATPRK. (2) ATPRK and DisTrad do not improve significantly the LST image resolution. (3) HUTS, which depends on albedo measures, misestimates the LST, leading to the worst temperature unmixing. (4) The two main factors explaining the obtained performances are the local/global application of the method and the reflective indices used in the LST-index relationship.


2020 ◽  
Author(s):  
Mikias Biazen Molla

Abstract This investigation was conducted for the estimation of the temporal land surface temperature value using thermal remote sensing of Landsat-8 (OLI) Data in Hawassa City Administration, Ethiopia. Satellite datasets of Landsat-7 (ETM+) for 22nd March 2002 and Landsat-8 (OLI) of 22nd March 2019 were taken for this study. Different algorisms were used to estimate the Normalized Difference Vegetation Index threshold from the Red and Near-Infrared band and the ground earth's surface emissivity esteem is legitimately recovered from the thermal infrared by coordinating with the outcome got from MODIS information. The land use land cover map of the city was prepared with better accuracy using the on-screen classification technique. The spatial distribution of surface temperature of the city range from 6.62°C to 22.54°C with a mean of 14.58°C and a standard deviation of 11.25 in the year of march 22nd 2002. The LST result derived from Landsat 8 for March 22nd, 2019, ranges from 11.97°C to 35.5°C with a mean of 23.735 °C and a standard deviation of 16.64. In both years the higher LST values correspond to built-up/settlement and bare/open lands of the city; whereas, lower LST values were observed in vegetation (trees/woodlot, shrubs, and grass forested) area. Urban expansion (built-up area roads, and another impervious surface), decline in vegetation levels due to deforestation and increasing population density. Increasing an evergreen tree and green space coverage, design and develop city parks and rehabilitate the existing degraded natural environments are among the recommended strategy to reduce the rate of LST.


2021 ◽  
Author(s):  
A S M Shanawaz Uddin ◽  
Najeebullah Khan ◽  
Abu Reza Md. Towfiqul I ◽  
Mohammad Kamruzzaman ◽  
Shamsuddin Shahid

Abstract Urbanization changes the local environment, resulting in urban heat island (UHI) effect and deteriorating human life quality. Knowledge of urban environments and temperature changes is important to outline the urban planning process for mitigation of UHI effect. The study aimed to assess the changes in urban areas and UHI effects in Dhaka city, Bangladesh from 2001to 2017, using Moderate Resolution Imaging Spectroradiometer (MODIS) daily day- and nighttime land surface temperature (LST) data from 2001to 2017. The expansion of the city was calculated using the city clustering algorithm (CCA). The temperature of the identified urbanized area was analyzed and compared with the adjacent regions. The changes in urban temperature were estimated using non-parametric statistical methods. The results showed that the Dhaka city area has grown by 19.12% and its inhabitants by 76.65% during 2001–2017. Urban expansion and dense settlements caused an increase in average temperature in some areas of Dhaka city nearly 3°C compared to that at its boundary. The day and night temperatures at Dhaka city's warmest location were nearly 7 and 5ºC, respectively, more than the coolest point outside the city. The city's annual average day- and nighttime temperature was increasing at a rate of 0.03° and 0.023°C/year over the period 2001–2017. The rising temperature would increase the UHI effect in the future, which combined with high humidity, may cause a significant increase in public health risk in the city if mitigation practices are not followed.


Author(s):  
Silvija Ozola

Traditions of the Christianity centres’ formation can be found in Jerusalem’s oldest part where instead of domestic inhabitants’ dwellings the second king of Israel (around 1005 BC–965 BC) David built his residence on a top of the Temple Mount surrounded by deep valleys. His fortress – the City of David protected from the north side by inhabitants’ stone buildings on a slope was an unassailable public and spiritual centre that northwards extended up to the Ophel used for the governance. David’s son, king of Israel (around 970–931 BC) Solomon extended the fortified urban area where Templum Solomonis was built. In Livonia, Bishop Albrecht obtained spacious areas, where he established bishoprics and towns. At foothills, residential building of inhabitants like shields guarded Bishop’s residence. The town-shield was the Dorpat Bishopric’s centre Dorpat and the Ösel–Wiek Bishopric’s centre Haapsalu. The town of Hasenpoth in the Bishopric of Courland (1234–1583) was established at subjugated lands inhabited by the Cours: each of bishopric's urban structures intended to Bishop and the Canonical Chapter was placed separately in their own village. The main subject of research: the town-shields’ planning in Livonia. Research problem: the development of town-shields’ planning at bishoprics in Livonia during the 13th and 14th century have been studied insufficiently. Historians in Latvia often do not take into account studies of urban planning specialists on historical urban planning. Research goal: to determine common and distinctive features of town-shield design in bishoprics of Livonia. Research novelty: town-shield plans of Archbishop’s and their vassals’ residences and capitals in Livonian bishoprics subjected to the Riga Archbishopric are analyzed. Results: study formation of Livonian town-shields’ layout and structure of the 13th and 14th centuries. Main methods: inspection of town-shields in nature, analysis of archive documents, projects, cartographic materials.  


2021 ◽  
pp. 72-86
Author(s):  
Dominic Perring

This chapter describes how London was rebuilt in a major phase of urban redesign likely to date c. AD 52, perhaps when an earlier supply-base was converted into a city. This involved a significant degree of cadastral reform. These works were probably initiated by the governor Didius Gallus. Busy construction programmes of the 50s involved the introduction of a new street grid, London’s first waterfront revetments, warehouses around the forum, and new bathhouses on the borders of town. A sacred precinct may also have been established around natural springs on a hillside overlooking the town. London’s first suburbs were established, and included workshops built and used following pre-Roman technologies. The contrast presented by these unusual and peripheral sites is used to argue the marginal status of British communities within the Roman city. A further programme of urban expansion dating c. AD 60 is also described.


Author(s):  
E. A. Akomolafe ◽  
O. A. Isioye ◽  
J. U. Awulu

Abstract. The rapid urban expansion in Abuja, Nigeria, has resulted in the replacement of land surface previously occupied by natural vegetation with various impermeable materials. This study examines the impact of the spatial distribution of impervious surfaces (IS) on land surface temperature (LST) in the study area using both graphical and quantitative approach. A Normalized Difference Impervious Surface Index (NDISI) was adopted to estimate IS and LST from Landsat ETM+ and OLI/TIRS satellite images (path: 189, row: 54) of Abuja for 4 distinct epochs of 2004, 2008, 2014 and 2018. In order to analyze the effect of IS on LST, the relationship between the normalized difference indices and LST, for each epoch, were determined using regression and correlation analyses. Results show the spatial patterns of impervious surfaces as distributed over Abuja, Nigeria and its impact on LST dynamics. It was observed that mean surface temperature increased by at least 2 °C every 4 years. Furthermore, results of the correlation analysis between NDISI and LST reveal that there exist varying positive correlations between the two variables in with correlation coefficients; R = 0.511, 0.166, 0.505, 0.785 in 2004,2008, 2014 and 2018 respectively, suggesting that impervious surfaces areas accelerate LST rise and Urban Heat Island (UHI) formation. This study gives great insight on the concept of impervious surfaces and its spatial pattern in Abuja city, Nigeria. The study recommends the widespread use of highly reflective or natural surfaces for rooftops, pavements and roads and that afforestation should be encouraged to increase green areas.


Author(s):  
S. K. Alavi Panah ◽  
M. Kiavarz Mogaddam ◽  
M. Karimi Firozjaei

Urban heat island is one of the most vital environmental risks in urban areas. The advent of remote sensing technology provides better visibility due to the integrated view, low-cost, fast and effective way to study and monitor environmental and humanistic changes. The aim of this study is a spatiotemporal evaluation of land use changes and the heat island in the time period of 1985-2015 for the studied area in the city of Babol. For this purpose, multi-temporal Landsat images were used in this study. For calculating the land surface temperature (LST), single-channel and maximum likelihood algorithms were used, to classify Images. Therefore, land use changes and LST were examined, and thereby the relationship between land-use changes was analyzed with the normalized LST. By using the average and standard deviation of normalized thermal images, the area was divided into five temperature categories, inter alia, very low, low, medium, high and very high and then, the heat island changes in the studied time period were investigated. The results indicate that land use changes for built-up lands increased by 92%, and a noticeable decrease was observed for agricultural lands. The Built-up land changes trend has direct relation with the trend of normalized surface temperature changes. Low and very low-temperature categories which follow a decreasing trend, are related to lands far away from the city. Also, high and very high-temperature categories whose areas increase annually, are adjacent to the city center and exit ways of the town. The results emphasize on the importance of attention of urban planners and managers to the urban heat island as an environmental risk.


Author(s):  
E. N. Sutyrina ◽  

The investigation is aimed to determine the boundaries and intensity of urban heat islands in the Irkutsk region and assess the change in these parameters over a long-term period. The formation of an urban heat island is an example of anthropogenic influence on the urban climate. Land surface temperature and its spatial and temporal variations can be used to study urban heat islands, since the difference between the land surface temperature within the city and its surroundings is the result of the transformation of the underlying surface, heat capacity and three-dimensional structure of urban buildings in the process of urbanization. In order to study the phenomenon of urban heat islands of cities of the Irkutsk region, the land surface temperature data reconstructed from AVHRR-based thermal infrared imagery for 1998-2019 was used. As a result of the study, multi-temporal maps showing the urban heat islands of the agglomeration of Irkutsk-Angarsk-Shelekhov and the city of Bratsk were obtained. The investigated heat islands are characterized by a significant diurnal dynamic, so the difference in temperature values between the city and the suburbs in summer daytime reached 8-10 °C, in the evening and at night in summer this parameter decreases to 3-5 °C. The dimensions of the urban heat islands of the cities under investigation in the daytime exceed the dimensions of these heat anomalies in the evening and at night. Interannual variability in the intensity of urban heat islands did not show statistically significant trends from 1998 to 2019, the areas of urban heat islands increased significantly over the study period. The observed increase in area was probably associated with the development of the cities under study, with the transformation of landscapes and a decrease in the density of vegetation in the suburbs. In order to assess the contribution of the lack of vegetation to the formation of the urban heat islands in summer daytime, the values of the land surface temperature were compared with the values of the vegetation index NDVI. An analysis of the relationships between these parameters found that daytime land surface temperature was in close inverse relationship with the NDVI value, while this relationship was less pronounced at night and in the evening.


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