Spatio-Temporal Relationship between Land Cover and Land Surface Temperature in Urban Areas
A Case Study in Geneva and Paris
Bibliographic Data
| ID | 22034610 |
|---|---|
| Authors | Xu Ge (Ecole polytechnique fédérale de Lausanne), Dasaraden Mauree (0000-0001-8954-321X, Ecole polytechnique fédérale de Lausanne, corresponding author), Roberto Castello (0000-0002-8242-6659, Ecole polytechnique fédérale de Lausanne), Jean-Louis Scartezzini (0000-0001-8892-2592, Ecole polytechnique fédérale de Lausanne) |
| Year | 2020 |
| Volume | 9 |
| Issue | 10 |
| Pages | 593 |
| Publication date | 2020-10-10 |
| Open Access | Yes |
| Type | ARTICLE |
| Venue | ISPRS International Journal of Geo-Information (JOURNAL) |
| Journal identifiers | ISSN: 2220-9964 • E-ISSN: 2220-9964 |
| Publisher | MDPI AG (PUBLISHER • IT) |
| DOI | 10.3390/ijgi9100593 |
| OpenAlex | W3091914191 |
| Language | EN |
| Citations received | 8 |
| References cited | 40 |
Currently, more than half of the world’s population lives in cities, which leads to major changes in land use and land surface temperature (LST). The associated urban heat island (UHI) effects have multiple impacts on energy consumption and human health. A better understanding of how different land covers affect LST is necessary for mitigating adverse impacts, and supporting urban planning and public health management. This study explores a distance-based, a grid-based and a point-based analysis to investigate the influence of impervious surfaces, green area and waterbodies on LST, from large (distance and grid based analysis with 400 m grids) to smaller (point based analysis with 30 m grids) scale in the two mid-latitude cities of Paris and Geneva. The results at large scale confirm that the highest LST was observed in the city centers. A significantly positive correlation was observed between LST and impervious surface density. An anticorrelation between LST and green area density was observed in Paris. The spatial lag model was used to explore the spatial correlation among LST, NDBI, NDVI and MNDWI on a smaller scale. Inverse correlations between LST and NDVI and MNDWI, respectively, were observed. We conclude that waterbodies display the greatest mitigation on LST and UHI effects both on the large and smaller scale. Green areas play an important role in cooling effects on the smaller scale. An increase of evenly distributed green area and waterbodies in urban areas is suggested to lower LST and mitigate UHI effects
Atmospheric sciences · Cartography · Climate change · Geography · Impervious surface · Land cover · Land use · Latitude · Meteorology · Normalized Difference Vegetation Index · Physical geography · Urban heat island · Environmental Science · Noise Effects and Management · Urban Green Space and Health · Urban Heat Island Mitigation · Ecology · Geology
Quantitative Analysis of a Spatial Distribution and Driving Factors of the Urban Heat Island Effect
Climate Justice in the City
Urban Overheating Assessment through Prediction of Surface Temperatures
Impacts of Urban Morphology on Seasonal Land Surface Temperatures
Mapping urban heat islands and heat-related risk during heat waves from a climate justice perspective
Linkages between urban growth and land surface temperature variations in the Seoul metropolitan area
Urban Heat and Spatial Statistics, Toward Sustainable Cities and Society
Assessing social equity and urban heat risks with machine learning of remote sensing imagery
Spatial pattern of greenspace affects land surface temperature
NDWI—A normalized difference water index for remote sensing of vegetation liquid water from space
Comparison of impervious surface area and normalized difference vegetation index as indicators of surface urban heat island effects in Landsat imagery
Effects of landscape composition and pattern on land surface temperature
Modification of normalised difference water index (NDWI) to enhance open water features in remotely sensed imagery
Land Surface Temperature Retrieval from Landsat 8 Tirs—Comparison between Radiative Transfer Equation-Based Method, Split Window Algorithm and Single Channel Method
Modeling the impact of 2D/3D urban indicators on the urban heat island over different seasons
Seasonal contrast of the dominant factors for spatial distribution of land surface temperature in urban areas
Planning for cooler cities
Use of normalized difference built-up index in automatically mapping urban areas from TM imagery
Estimation of land surface temperature–vegetation abundance relationship for urban heat island studies
Effects of green space spatial pattern on land surface temperature
Algorithm for Automated Mapping of Land Surface Temperature Using LANDSAT 8 Satellite Data
Does spatial configuration matter? Understanding the effects of land cover pattern on land surface temperature in urban landscapes
Effects of building density on land surface temperature in China
Investigating spatial and seasonal variations of urban heat island effect over Jaipur city and its relationship with vegetation, urbanization and elevation parameters
Assessment of Urban Heat Island based on the relationship between land surface temperature and Land Use/ Land Cover in Tehran
An urban heat island study in Nanchang City, China based on land surface temperature and social-ecological variables
| Citations per year | 1.6 |
|---|---|
| Citation span | 2021 - 2026 (6) |
| Highly cited | No |