Analysis of the Spatial and Temporal Evolution of Land Cover and Heat Island Effects in Six Districts of Chongqing’s Main City

Lang, Qing; Yu, Wei; Ma, Mingguo; Wen, Jianguang

doi:10.3390/s19235239

Cited by 7 publications

(4 citation statements)

References 39 publications

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“…These land types can not only prevent wind and promote sand fixation and purify air, but also maintain water in the soil, thus protecting and regulating the ecosystem [45]. As analyzed above, the increase of cropland, forest land and grassland increase vegetation cover and water and soil conservation capacity, which improve regional environmental quality; on the other hand, the decrease of cropland, forest land and grassland in the region due to their transfer will worsen the environmental quality [46]. The increase in the area of construction land, unutilized land intensifies the urban heat island effect and have a negative effect on regional environmental quality.…”

Section: Impact Factor Analysismentioning

confidence: 99%

Effects of Mining on Urban Environmental Change: A Case Study of Panzhihua

Dai

Liu

et al. 2022

Remote Sensing

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The environment supplies water, land, biological resources, and climate resources for people’s daily life and development, dramatically affecting the subsistence and development of human beings. Panzhihua City is a representative resource-based industrial city of southwestern China. The abundant mineral resources provide the material basis for the city’s development. However, while the overdevelopment of the past decades has provided the preconditions for its rapid economic growth, it has also inevitably had a huge impact on its environmental quality and land use structure. In this study, the landsat remote sensing images, terrain data, socio-economic data, and mining resources exploitation data of Panzhihua were used to extract the NDVI (Normalized Difference Vegetation Index), NDBSI (Normalized Difference Build and Soil Index) and LST (Land Surface Temperature) of the past 20 years at 5-year intervals. We normalized four indicators by Principal Component Analysis to derive a remote sensing ecological index of each factor and build the Remote Sensing-based Ecological Index evaluation model. This research quantified the changes in environmental quality in the past 20 years through the range method, showing that the environmental quality of Panzhihua City first declined and then increased slowly. This research also analyzed the influence of land use types, terrain, mining area, and socio-economy on the environmental quality of Panzhihua City by grey relational analysis and buffer analysis. It is found that with the influence of its unique topographical factors and economic aspects, the environmental quality of Panzhihua City changed to varying degrees. The results provide a reliable basis for the future environmental planning of Panzhihua City and a reference for the ecological restoration of mining areas with different mineral species accurately.

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Section: Impact Factor Analysismentioning

confidence: 99%

Effects of Mining on Urban Environmental Change: A Case Study of Panzhihua

Dai

Liu

et al. 2022

Remote Sensing

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“…According to the World Meteorological Organization (WMO), the average global temperature has risen by more than 1.15 • C since the 1850s [1], and this prolonged warming has led to an increase in uncomfortable weather conditions. Due to global climate change and the development of global urbanization levels, urban overheating has become a typical problem in urban construction, with an important impact on urban comfort, energy use, and people's health [2][3][4][5].…”

Section: Introductionmentioning

confidence: 99%

Research on Microclimate-Suitable Spatial Patterns of Waterfront Settlements in Summer: A Case Study of the Nan Lake Area in Wuhan, China

Gao,

Zhang,

Wang

et al. 2023

Sustainability

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As China’s urbanization progresses, thermal environmental problems such as the overheating effect experienced by cities are becoming more and more obvious in the daily lives of residents. Urban waterfront spaces not only create pleasant landscape environments and regulate microclimates, but also help to maintain ecological diversity. However, the current high-density urban construction model has led to poor air mobility and weakened water regulation functions in cities. Therefore, the rationalization of the spatial form of settlements has become particularly important in recent times. In this study, the Nan Lake area of Wuhan City was taken as the research object, and it was simulated using ENVI-met (5.5.1) software. Further, the orthogonal experimental design method was combined with the extremum difference analysis method. This study focused on the effects of the layout form (LF), floor area ratio (FAR), green form (GF), and offshore distance (OD) on the temperature (T), relative humidity (RH), and thermal comfort in waterfront settlements in summer. This study found that (1) among the various factors, the effect of the GFs and LFs on the overall microclimate of the study region was the most significant, while the volume ratio had the least significant effect on each indicator. (2) The parallel layout form was found to have better ventilation effects compared to the other three layout forms, with its cooling and humidifying effects being superior. (3) Among the four types of greening combinations, the combination of “grass + shrubs” had the best cooling effect at the height of pedestrians, while trees were able to reduce the heat transfer of solar radiation to the ground due to the shading and evaporation effects provided by their canopies. (4) The cooling and humidifying effects provided by the water body of Nan Lake gradually diminished as the distance from its shore increased; therefore, waterfront settlements maintaining a reasonable proximity to their water bodies will help bring into play the microclimate adjustment effect of such bodies. This study provides a valuable reference for the construction and renewal of urban waterfront settlements in the hot summer and cold winter zones of China (HSCW).

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“…Landsat satellite images are the most commonly used images in SUHI studies, and the usage rate of Landsat (Landsat TM and ETM+) images in SUHI studies is over 89% [12]. Landsat 8 was launched in 2013, and by this year, Landsat 8 OLI/TIRS images were already being used in SUHI studies [26][27][28][29][30].…”

Section: Introductionmentioning

confidence: 99%

“…There are studies that have used supervised/unsupervised or object-based classification techniques [33][34][35][36][37], linear spectral mixture analysis [32,38], or hybrid methods [39,40] for the determination of LULC areas. Land cover indices are also used to identify LULC areas [12,30,31,[41][42][43][44]. Normalized difference vegetation index (NDVI) and normalized difference built-up index (NDBI) are the most commonly used land cover indices for examining UHI [45].…”

Section: Introductionmentioning

confidence: 99%

The Use of Land Cover Indices for Rapid Surface Urban Heat Island Detection from Multi-Temporal Landsat Imageries

Aslan

Koç-San

2021

IJGI

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The aims of this study were to determine surface urban heat island (SUHI) effects and to analyze the land use/land cover (LULC) and land surface temperature (LST) changes for 11 time periods from the years 2002 to 2020 using Landsat time series images. Bursa, which is the fourth largest metropolitan city in Turkey, was selected as the study area, and Landsat multi-temporal images of the summer season were used. Firstly, the normalized difference vegetation index (NDVI), soil-adjusted vegetation index (SAVI), modified normalized difference water index (MNDWI) and index-based built-up index (IBI) were created using the bands of Landsat images, and LULC classes were determined by applying automatic thresholding. The LST values were calculated using thermal images and SUHI effects were determined. The results show that NDVI, SAVI, MNDWI and IBI indices can be used effectively for the determination of the urban, vegetation and water LULC classes for SUHI studies, with overall classification accuracies between 89.60% and 95.90% for the used images. According to the obtained results, generally the LST values increased for almost all land cover areas between the years 2002 and 2020. The SUHI magnitudes were computed by using two methods, and it was found that there was an important increase in the 18-year time period.

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Analysis of the Spatial and Temporal Evolution of Land Cover and Heat Island Effects in Six Districts of Chongqing’s Main City

Cited by 7 publications

References 39 publications

Effects of Mining on Urban Environmental Change: A Case Study of Panzhihua

Effects of Mining on Urban Environmental Change: A Case Study of Panzhihua

Research on Microclimate-Suitable Spatial Patterns of Waterfront Settlements in Summer: A Case Study of the Nan Lake Area in Wuhan, China

The Use of Land Cover Indices for Rapid Surface Urban Heat Island Detection from Multi-Temporal Landsat Imageries

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