Monitoring the changes in impervious surface ratio and urban heat island intensity between 1987 and 2011 in Szeged, Hungary

Abstract

Landsat time series data make it possible to continuously map and examine urban land cover changes and effects on urban environments. The objectives of this study are (1) to map and analyse an impervious surface and its changes within a census district and (2) to monitor the effects of increasing impervious surface ratios on population and environment. We used satellite images from 1987, 2003 and 2011 to map the impervious surface ratio in the census district of Szeged, Hungary through normalized spectral mixture analysis. Significant increases were detected from 1987 to 2011 in industrial areas (5.7-9.1%) and inner residential areas (2.5-4.8%), whereas decreases were observed in the city centre and housing estates due to vegetation growth. Urban heat island (UHI) values were derived from the impervious surface fraction map to analyse the impact of urban land cover changes. In 2011, the average value in the industrial area was 1.76 °C, whereas that in the inner residential area was 1.35-1.69 °C. In the city centre zones and housing estates, values ranging from 1.4 to 1.5 °C and from 1.29 to 1.5 °C, respectively, were observed. Our study reveals that long-term land cover changes can be derived at the district level from Landsat images and that their effects can be identified and analysed, providing important information for city planners and policy makers.

Improvement in Satellite Image-Based Land Cover Classification with Landscape Metrics

“…The satellite data were processed with ERDAS Imagine 2020 and Sentinel Application Platform (SNAP) software. The satellite images obtained from the Landsat program were used for different classification purposes [35][36][37]. Landsat 8 is the newest satellite of its type.…”

Extraction of High-Precision Urban Impervious Surfaces from Sentinel-2 Multispectral Imagery via Modified Linear Spectral Mixture Analysis

“…In recent years, images at many different spatial resolutions from satellite-based sensors have been evaluated and applied to estimate impervious surfaces, including Landsat Thematic Mapper/Enhanced Thematic Mapper Plus (TM/ETM+) [ 8 , 9 , 10 , 11 ], Landsat 8 Operational Land Imager (OLI) [ 1 , 12 , 13 ], Moderate Resolution Imaging Spectroradiometer (MODIS) [ 14 ], IKONOS [ 15 , 16 ], QuickBird [ 17 ], Advanced Spaceborne Thermal Emission and Reflection Radiometer (ASTER) [ 18 , 19 ], GaoFen-1 (GF-1) [ 20 ], Synthetic Aperture Radar (SAR) data [ 21 , 22 , 23 ], and nighttime light data [ 24 ]. Furthermore, numerous studies have also been conducted with applications fusing multi-source remote sensing imageries to estimate impervious surfaces, containing the fusion of SAR/InSAR and optical data, Defense Meteorological Satellite Program’s Operational Linescan System (DMSP-OLS) data and MODIS/Landsat data, LiDAR, and high-resolution digital aerial orthoimages [ 25 , 26 , 27 , 28 , 29 , 30 ].…”

Épületek napenergia-potenciáljának számítása fotogrammetriai módszerekkel előállított adatok felhasználásával

“…Napjaink egyik népszerű településfejlesztési irányzata az okosváros-koncepció mind a tudományos, mind a döntéshozói közegekben és a köztudatban is egyre népszerűbb (Szatmári et al 2019). Mivel az emberiség számára egyre inkább nyilvánvalóvá válik, hogy a jövő kulcsa a fenntartható fejlődésben rejlik (Henits et al 2017), világszerte számos ország és város ösztönzi a napenergia használatát az egyéb energiatechnológiák mellett.…”