scholarly journals Spatial Analysis of Urban Thermal Island in Northern Iran (Case Study: Rasht City)

2022 ◽  
Author(s):  
Ali Mohammadpourzeid ◽  
Bohloul Alijani ◽  
Mehry Akbary ◽  
Parviz Zeaieanfirouzabadi
Keyword(s):  
Land Surface ◽  
Meteorological Data ◽  
Land Use Changes ◽  
Negative Effects ◽  
Northern Iran ◽  
Spatial Trend ◽  
Two Factors ◽  
Temporal And Spatial ◽  
Landsat Satellite ◽  
The City

Abstract Land surface temperature (LST) is one of the key parameters in hydrology, meteorology, and the surface energy balance.The one-window algorithm of Kim et al. Uses Landsat satellite imagery to model the earth's surface temperature.These trends are validated using meteorological data. Two main and basic factors play a major role in the temporal and spatial trend of the thermal islands of Rasht. These two factors of climate change that have occurred in the last two decades in the region of Gilan province and the city of Rasht. The second factor that has greatly enhanced the effect of the first factor is the human factor that has greatly included other urban factors in Rasht, including urban management and proper urban planning in the province and the city of Rasht. These two factors in the temporal and spatial trend of urban thermal islands have caused thermal islands to rapidly increase the growth of the city and urban population from the urban center to the western and southwestern regions and have very negative effects on land use changes and human areas. It has caused the construction of Rasht city.

scholarly journals Estimation of Surface and Near-Surface Air Temperatures in Arid Northwest China Using Landsat Satellite Images

2021 ◽  
Vol 9 ◽  
Author(s):  
Yi Liu ◽  
Samuel Ortega-Farías ◽  
Fei Tian ◽  
Sufen Wang ◽  
Sien Li
Keyword(s):  
Spatial Distribution ◽  
Land Surface ◽  
Vegetation Index ◽  
Meteorological Data ◽  
Northwest China ◽  
Landsat 8 ◽  
Linear Regression Models ◽  
Temporal And Spatial Distribution ◽  
Near Surface ◽  
Temporal And Spatial

Near-surface air (Ta) and land surface (Ts) temperatures are essential parameters for research in the fields of agriculture, hydrology, and ecological changes, which require accurate datasets with different temporal and spatial resolutions. However, the sparse spatial distribution of meteorological stations in Northwest China may not effectively provide high-precision Ta data. And it is not clear whether it is necessary to improve the accuracy of Ts which has the most influence on Ta. In response to this situation, the main objective of this study is to estimate Ta for Northwest China using multiple linear regression models (MLR) and random forest (RF) algorithms, based on Landsat 8 images and auxiliary data collected from 2014 to 2019. Ts, NDVI (Normalized Difference Vegetation Index), surface albedo, elevation, wind speed, and Julian day were variables to be selected, then used to estimate the daily average Ta after analysis and adjustment. Also, the Radiative Transfer Equation (RTE) method for calculating Ts would be corrected by NDVI (RTE-NDVI). The results show that: 1) The accuracy of the surface temperature (Ts) was improved by using RTE-NDVI; 2) Both MLR and RF models are suitable for estimating Ta in areas with few meteorological stations; 3) Analyzing the temporal and spatial distribution of errors, it is found that the MLR model performs well in spring and summer, and is lower in autumn, and the accuracy is higher in plain areas away from mountains than in mountainous areas and nearby areas. This study shows that through appropriate selection and combination of variables, the accuracy of estimating the pixel-scale Ta from satellite remote sensing data can be improved in the area that has less meteorological data.

scholarly journals MONITORING SPATIOTEMPORAL CHANGES OF HEAT ISLAND IN BABOL CITY DUE TO LAND USE CHANGES

2017 ◽  
Vol XLII-4/W4 ◽  
pp. 17-22 ◽  
Author(s):  
S. K. Alavi Panah ◽  
M. Kiavarz Mogaddam ◽  
M. Karimi Firozjaei
Keyword(s):  
Land Use ◽  
Surface Temperature ◽  
Urban Heat Island ◽  
Land Surface ◽  
Land Use Changes ◽  
Heat Island ◽  
Time Period ◽  
Urban Heat ◽  
The City ◽  
Very High

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.

scholarly journals Monitoring LST-NDVI Relationship Using Premonsoon Landsat Datasets

2020 ◽  
Vol 2020 ◽  
pp. 1-15 ◽  
Author(s):  
Subhanil Guha ◽  
Himanshu Govil ◽  
Prabhat Diwan
Keyword(s):  
Correlation Coefficient ◽  
Land Surface ◽  
Vegetation Index ◽  
Normalized Difference Vegetation Index ◽  
Urban Landscape ◽  
Landsat 8 ◽  
Landsat 7 ◽  
Systematic Planning ◽  
Landsat Satellite ◽  
The City

The present study monitors the interrelationship of land surface temperature (LST) with normalized difference vegetation index (NDVI) in Raipur City of India using premonsoon Landsat satellite sensor for the season of 2002, 2006, 2010, 2014, and 2018. The results describe that the mean LST of Raipur City is gradually increased with time. The value of mean NDVI is higher in the area below mean LST compared to the area above mean LST. The value of mean NDVI is also higher in Landsat 8 data than Landsat 5 and Landsat 7 data. A strong negative LST-NDVI correlation is observed throughout the period. The correlation coefficient is higher in the area above mean LST and lower in the area below mean LST. The value of the correlation coefficient is decreased with time. The mixed urban landscape of the city is closely related to the changes of LST-NDVI relationship. These results provide systematic planning of the urban environment.

scholarly journals ANALYSING THE EFFECTS OF DIFFERENT LAND COVER TYPES ON LAND SURFACE TEMPERATURE USING SATELLITE DATA

2015 ◽  
Vol XL-1-W5 ◽  
pp. 665-667 ◽  
Author(s):  
A. Şekertekin ◽  
Ş. H. Kutoglu ◽  
S. Kaya ◽  
A. M. Marangoz
Keyword(s):  
Remote Sensing ◽  
Land Cover ◽  
Surface Temperature ◽  
Land Surface Temperature ◽  
Land Surface ◽  
Single Channel ◽  
Meteorological Data ◽  
Thermal Power ◽  
City Center ◽  
The City

Monitoring Land Surface Temperature (LST) via remote sensing images is one of the most important contributions to climatology. LST is an important parameter governing the energy balance on the Earth and it also helps us to understand the behavior of urban heat islands. There are lots of algorithms to obtain LST by remote sensing techniques. The most commonly used algorithms are split-window algorithm, temperature/emissivity separation method, mono-window algorithm and single channel method. In this research, mono window algorithm was implemented to Landsat 5 TM image acquired on 28.08.2011. Besides, meteorological data such as humidity and temperature are used in the algorithm. Moreover, high resolution Geoeye-1 and Worldview-2 images acquired on 29.08.2011 and 12.07.2013 respectively were used to investigate the relationships between LST and land cover type. As a result of the analyses, area with vegetation cover has approximately 5 ºC lower temperatures than the city center and arid land., LST values change about 10 ºC in the city center because of different surface properties such as reinforced concrete construction, green zones and sandbank. The temperature around some places in thermal power plant region (ÇATES and ZETES) Çatalağzı, is about 5 ºC higher than city center. Sandbank and agricultural areas have highest temperature due to the land cover structure.

Remote Sensing for Land Use Mapping, Case of The Study Area: Urban Commune of Saada, Morocco

2021 ◽  
Vol 2 (1) ◽  
pp. 36-43
Author(s):  
Abdelouhed Farah ◽  
Ahmed Algouti ◽  
Abdellah Algouti ◽  
Essaadia Adaze ◽  
Mohammed Ifkirne
Keyword(s):  
Land Use ◽  
Urban Area ◽  
Agricultural Land ◽  
Land Use Changes ◽  
Satellite Image ◽  
Image Data ◽  
Machine Learning Algorithms ◽  
Exponential Population Growth ◽  
Landsat Satellite ◽  
The City

The phenomenon of urban planning in favor of agricultural land on the outskirts of the city of Marrakech is in full expansion. The study of land use changes is of pivotal interest for the knowledge, management, monitoring, surveillance, and evaluation of our environment. Indeed, the city of Marrakech has been experiencing exponential population growth for several decades. This phenomenon has led to a dynamic urban characterized by the increase and densification of urbanized areas (e.g. buildings and infrastructures) which leads to the occupation of natural spaces. To this end, this study aims at highlighting the mapping and evolution of land use in the city of Marrakech from Landsat satellite image data (1989, 2005 and 2020) through the application of the Image classification using Machine Learning algorithms with the QGis Orfeo Toolbox, which facilitate the production of land use maps at three dates as well as an evolution map of the conurbation and also to quantify the obtained results. The directions of extension of the urban area were defined and thus demonstrate its impact on the agricultural land located in the peri-urban area.

Spatial Hotspot Analysis of Bucharest’s Urban Heat Island (UHI) Using Modis Data

2018 ◽  
Vol 18 (1) ◽  
pp. 14-22 ◽  
Author(s):  
Georgiana Grigoraș ◽  
Bogdan Urițescu
Keyword(s):  
Surface Temperature ◽  
Air Temperature ◽  
Land Surface Temperature ◽  
Hot Spots ◽  
Land Surface ◽  
Hot Spot ◽  
Monitoring Network ◽  
Residential Areas ◽  
Hotspot Analysis ◽  
The City

Abstract The aim of the study is to find the relationship between the land surface temperature and air temperature and to determine the hot spots in the urban area of Bucharest, the capital of Romania. The analysis was based on images from both moderate-resolution imaging spectroradiometer (MODIS), located on both Terra and Aqua platforms, as well as on data recorded by the four automatic weather stations existing in the endowment of The National Air Quality Monitoring Network, from the summer of 2017. Correlation coefficients between land surface temperature and air temperature were higher at night (0.8-0.87) and slightly lower during the day (0.71-0.77). After the validation of satellite data with in-situ temperature measurements, the hot spots in the metropolitan area of Bucharest were identified using Getis-Ord spatial statistics analysis. It has been achieved that the “very hot” areas are grouped in the center of the city and along the main traffic streets and dense residential areas. During the day the "very hot spots” represent 33.2% of the city's surface, and during the night 31.6%. The area where the mentioned spots persist, falls into the "very hot spot" category both day and night, it represents 27.1% of the city’s surface and it is mainly represented by the city center.

GERAKAN SOSIAL MASYARAKAT KAMPUNG LABALUBA DESA KONTUMERE KECAMATAN KABAWO KABUPATEN MUNA TAHUN 1960-1980

2020 ◽  
Vol 4 (4) ◽  
Author(s):  
Nurwan Nurwan ◽  
Ali Hadara ◽  
La Batia
Keyword(s):  
Social Movements ◽  
Local Government ◽  
Social Movement ◽  
Negative Effects ◽  
Movement Process ◽  
The People ◽  
The Social ◽  
The Government ◽  
The Village ◽  
The City

ABSTRAK: Inti pokok masalah dalam penelitian ini meliputi latar belakang gerakan sosial masyarakat Kampung Labaluba Desa Kontumere Kecamatan Kabawo Kabupaten Muna, Faktor-faktor yang mendorong gerakan sosial masyarakat Kampung Labaluba Desa Kontumere Kecamatan Kabawo Kabupaten Muna, proses gerakan sosial masyarakat Kampung Labaluba Desa Kontumere Kecamatan Kabawo Kabupaten Muna dan akibat gerakan sosial masyarakat Labaluba Desa Kontumere Kecamatan Kabawo Kabupaten Muna? Latar belakang gerakan sosial masyarakat Kampung Labaluba yaitu keadaan kampungnya yang hanya terdiri dari beberapa kepala keluarga tiap kampung dan jarak yang jauh masing-masing kampung membuat keadaan masyarakatnya sulit untuk berkomnikasi dan tiap kampung hanya terdiri dari lima sampai dengan tujuh kepala keluarga saja. Kampung ini letaknya paling timur pulau Muna terbentang dari ujung kota Raha sekarang sampai kampung Wakuru yang saat ini. Kondisi ini juga yang menjadi salah satu faktor penyebab kampung ini kurang berkembang baik dibidang ekonomi, sosial politik, pendidikan maupun di bidang kebudayaan. Keadaan ini diperparah lagi dengan sifat dan karakter penduduknya yang masih sangat primitif. Faktor yang mendorong adanya gerakan sosial masyarakat Kampung Labaluba Desa Kontumere Kecamatan Kabawo Kabupaten Muna adalah adanya ketidaksesuaian antara keinginan pemerintah setempat dan masyarakat yang mendiami Kampung Labaluba pada waktu itu. Sedangkan proses gerakan sosial masyarakat Kampung Labaluba Desa Kontumere Kecamatan Kabawo Kabupaten Muna bermula ketika pemerintah seolah memaksakan kehendaknya kepada rakyat yang menyebabkan rakyat tidak setuju dengan kebijakan tersebut. Akibat yang ditimbulkan dari adanya gerakan sosial masyarakat Kampung Labaluba Desa Kontumere Kecamatan Kabawo Kabupaten Muna terbagi dua yaitu akibat positif dan akibat negatif.Kata Kunci: Gerakan Sosial, Factor dan Dampaknya ABSTRACT: The main issues in this study include the background of the social movement of Labaluba Village, Kontumere Village, Kabawo Sub-District, Muna District, Factors that encourage social movements of Labaluba Kampung Sub-village, Kontumere Village, Kabawo Sub-District, Muna District, the social movement process of Labaluba Village, Kontumere Village, Kabawo Sub-District Muna Regency and due to Labaluba community social movements Kontumere Village Kabawo District Muna Regency? The background of the Labaluba Kampung community social movement is that the condition of the village consists of only a few heads of households per village and the distance of each village makes it difficult for the community to communicate and each village only consists of five to seven households. This village is located east of the island of Muna stretching from the edge of the city of Raha now to the current village of Wakuru. This condition is also one of the factors causing the village to be less developed in the economic, social political, educational and cultural fields. This situation is made worse by the very primitive nature and character of the population. The factor that motivated the existence of the social movement of Labaluba Village in Kontumere Village, Kabawo Subdistrict, Muna Regency was the mismatch between the wishes of the local government and the people who inhabited Labaluba Village at that time. While the process of social movements in Labaluba Village, Kontumere Village, Kabawo District, Muna Regency began when the government seemed to impose its will on the people, causing the people to disagree with the policy. The consequences arising from the existence of social movements in Labaluba Village, Kontumere Village, Kabawo District, Muna Regency are divided into two, namely positive and negative effects. Keywords: Social Movements, Factors and their Impacts

scholarly journals Topoclimate Mapping Using Landsat ETM+ Thermal Data: Wolin Island, Poland

2021 ◽  
Vol 13 (14) ◽  
pp. 2712
Author(s):  
Marta Ciazela ◽  
Jakub Ciazela
Keyword(s):  
Land Surface ◽  
Meteorological Data ◽  
Remote Sensing Data ◽  
Animal Husbandry ◽  
Boundary Layer Processes ◽  
Lowland Area ◽  
Agricultural Areas ◽  
Glacial Landforms ◽  
Climatic Pattern

Variations in climatic pattern due to boundary layer processes at the topoclimatic scale are critical for ecosystems and human activity, including agriculture, fruit harvesting, and animal husbandry. Here, a new method for topoclimate mapping based on land surface temperature (LST) computed from the brightness temperature of Landsat ETM+ thermal bands (band6) is presented. The study was conducted in a coastal lowland area with glacial landforms (Wolin Island). The method presented is universal for various areas, and is based on freely available remote sensing data. The topoclimatic typology obtained was compared to the classical one based on meteorological data. It was proven to show a good sensitivity to changes in topoclimatic conditions (demonstrated by changes in LST distribution) even in flat, agricultural areas with only small variations in topography. The technique will hopefully prove to be a convenient and relatively fast tool that can improve the topoclimatic classification of other regions. It could be applied by local authorities and farmer associations for optimizing agricultural production.

scholarly journals Seasonal Variations of Daytime Land Surface Temperature and Their Underlying Drivers over Wuhan, China

2021 ◽  
Vol 13 (2) ◽  
pp. 323
Author(s):  
Liang Chen ◽  
Xuelei Wang ◽  
Xiaobin Cai ◽  
Chao Yang ◽  
Xiaorong Lu
Keyword(s):  
Surface Temperature ◽  
Land Surface Temperature ◽  
Land Surface ◽  
Vegetation Index ◽  
Normalized Difference Vegetation Index ◽  
Maximum Temperature ◽  
Maximum Temperature Difference ◽  
Rapid Urbanization ◽  
The Impact ◽  
The City

Rapid urbanization greatly alters land surface vegetation cover and heat distribution, leading to the development of the urban heat island (UHI) effect and seriously affecting the healthy development of cities and the comfort of living. As an indicator of urban health and livability, monitoring the distribution of land surface temperature (LST) and discovering its main impacting factors are receiving increasing attention in the effort to develop cities more sustainably. In this study, we analyzed the spatial distribution patterns of LST of the city of Wuhan, China, from 2013 to 2019. We detected hot and cold poles in four seasons through clustering and outlier analysis (based on Anselin local Moran’s I) of LST. Furthermore, we introduced the geographical detector model to quantify the impact of six physical and socio-economic factors, including the digital elevation model (DEM), index-based built-up index (IBI), modified normalized difference water index (MNDWI), normalized difference vegetation index (NDVI), population, and Gross Domestic Product (GDP) on the LST distribution of Wuhan. Finally, to identify the influence of land cover on temperature, the LST of croplands, woodlands, grasslands, and built-up areas was analyzed. The results showed that low temperatures are mainly distributed over water and woodland areas, followed by grasslands; high temperatures are mainly concentrated over built-up areas. The maximum temperature difference between land covers occurs in spring and summer, while this difference can be ignored in winter. MNDWI, IBI, and NDVI are the key driving factors of the thermal values change in Wuhan, especially of their interaction. We found that the temperature of water area and urban green space (woodlands and grasslands) tends to be 5.4 °C and 2.6 °C lower than that of built-up areas. Our research results can contribute to the urban planning and urban greening of Wuhan and promote the healthy and sustainable development of the city.

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