Assessment of Urban Heat Islands Using Remotely Sensed Data
نویسنده
چکیده
Thermal infrared satellite sensor images are widely used for assessing the thermal urban environment as well as for identifying the Urban Heat Islands (UHI) in highly urbanized areas. In this study, the relationship between urban growth and UHI in the megacity of Istanbul was investigated using the Landsat 5 TM satellite sensor data and temperature recordings obtained from the meteorological stations within and around the city of Istanbul. Using the thermal band of the Landsat 5 TM images, the spatial distribution of the warmer surfaces in the urban environment are identified and matched with the urban surface characteristics together with the land use/cover distribution. Three Landsat 5 TM satellite sensor imageries obtained 25 September 1987, 18 July 1997, and 28 June 2007 were used. UHI boundaries were extracted from the classified thermal band of these satellite sensor images. Images were also classified to form the link between radiances, surface temperatures, and land use characteristics particularly for the urbanized areas. The results of the study indicated the expansion of urban sprawl in the city that further corresponded to growth in thermal radiation of land surface in high-density areas. This fact is mainly due to unplanned and uncontrolled urbanization that has occurred in the last three decades.
منابع مشابه
Spatiotemporal Estimation of PM2.5 Concentration Using Remotely Sensed Data, Machine Learning, and Optimization Algorithms
PM 2.5 (particles <2.5 μm in aerodynamic diameter) can be measured by ground station data in urban areas, but the number of these stations and their geographical coverage is limited. Therefore, these data are not adequate for calculating concentrations of Pm2.5 over a large urban area. This study aims to use Aerosol Optical Depth (AOD) satellite images and meteorological data from 2014 to 2017 ...
متن کاملUrban Heat Islands as Viewed by Microwave Radiometers and Thermal Time Indices
Urban heat islands (UHIs) have been long studied using both ground-based observations of air temperature and remotely sensed thermal infrared (TIR) data. While ground-based observations lack spatial detail even in the occasional “dense” urban network, skin temperature retrievals using TIR data have lower temporal coverage due to revisit frequency, limited swath width, and cloud cover. Algorithm...
متن کاملSpatiotemporal analysis of remotely sensed Landsat time series data for monitoring 32 years of urbanization
The world is witnessing a dramatic shift of settlement pattern from rural to urban population, particularly in developing countries. The rapid Addis Ababa urbanization reflects this global phenomenon and the subsequent socio-economic and environmental impacts, are causing massive public uproar and political instability. The objective of this study was to use remotely sensed Landsat data to iden...
متن کاملCoastal water quality assessment based on the remotely sensed water quality index using time series of satellite images
This study was conducted with the aim of providing a remotely sensed water quality index in Assaluyeh port using remote sensing technology. so, according to the region conditions, studying of scientific resources and access to satellite data, the parameters of heavymetals, dissolved ions, SST, chlorophyll-a and pH were selected. Then, by reviewing sources, the product MYD091km, MYD021km, MOD02...
متن کاملRemote Sensing Image Interpretation for Urban Environment Analysis: Methods, System and Examples
Remote sensing imagery has been widely used in urban growth and environment analysis with many effective and advanced strategies being developed. However, most of these approaches are separated from each other. There is an urgent need to combine different modules into some practical processing chains. Firstly, we present a comprehensive analysis of key processing chains in applying remote sensi...
متن کامل