Assessment of land surface temperature and heat fluxes over Delhi using remote sensing data

Chakraborty, Surya Deb; Kant, Yogesh; Mitra, Debashis

doi:10.1016/j.jenvman.2013.11.034

Cited by 111 publications

(34 citation statements)

References 10 publications

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“…The fast pace, scale and complexity of urbanization led to unmanaged growth and is likely to continue to impact negatively both to the local and global-level environment in the forms of biodiversity loss, energy use and GHG emissions (Ekholm, Krey, Pachauri, & Riahi, 2010;Gurney et al, 2015;Marcotullio, Sarzynski, Albrecht, & Schulz, 2012;O'Neill, Ren, Jiang, & Dalton, 2012). The research literature shows that in cities like Pune, Delhi, Surat, and Kolkata, rapid urban growth has resulted in a discernible urban heat island signature (Chakraborty, Kant, & Mitra, 2013;Chaudhuri & Mishra, 2016;Deosthali, 2000;Sharma & Joshi, 2014) but regionally it varies based on the type of land cover, distance from a major urban area, and size of the urban area (Chaudhuri & Mishra, 2016). Especially in tropical countries like India, the high heat challenges become multiplied in urban areas with overflowing population, poverty and poor informal infrastructure (Kovats & Akhtar, 2008).…”

Section: Urbanization In Indiamentioning

confidence: 99%

Modeling an Indian megalopolis– A case study on adapting SLEUTH urban growth model

Chaudhuri

Clarke

2019

Computers, Environment and Urban Systems

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Section: Urbanization In Indiamentioning

confidence: 99%

Modeling an Indian megalopolis– A case study on adapting SLEUTH urban growth model

Chaudhuri

Clarke

2019

Computers, Environment and Urban Systems

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“…Increased impervious surface fractions in cities, including buildings and infrastructure, are the main causes of the UHI effect, which impacts energy use, water consumption, air quality, and human health [2]. Since its first discovery by Luke Howard in the early 1800s in London [3], numerous UHI studies have been conducted in various cities around the globe [4][5][6][7][8][9][10][11][12][13][14].…”

Section: Introductionmentioning

confidence: 99%

Understanding the Impact of Urbanization on Surface Urban Heat Islands—A Longitudinal Analysis of the Oasis Effect in Subtropical Desert Cities

et al. 2017

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Abstract:We quantified the spatio-temporal patterns of land cover/land use (LCLU) change to document and evaluate the daytime surface urban heat island (SUHI) for five hot subtropical desert cities (Beer Sheva, Israel; Hotan, China; Jodhpur, India; Kharga, Egypt; and Las Vegas, NV, USA). Sequential Landsat images were acquired and classified into the USGS 24-category Land Use Categories using object-based image analysis with an overall accuracy of 80% to 95.5%. We estimated the land surface temperature (LST) of all available Landsat data from June to August for years 1990, 2000, and 2010 and computed the urban-rural difference in the average LST and Normalized Difference Vegetation Index (NDVI) for each city. Leveraging non-parametric statistical analysis, we also investigated the impacts of city size and population on the urban-rural difference in the summer daytime LST and NDVI. Urban expansion is observed for all five cities, but the urbanization pattern varies widely from city to city. A negative SUHI effect or an oasis effect exists for all the cities across all three years, and the amplitude of the oasis effect tends to increase as the urban-rural NDVI difference increases. A strong oasis effect is observed for Hotan and Kharga with evidently larger NDVI difference than the other cities. Larger cities tend to have a weaker cooling effect while a negative association is identified between NDVI difference and population. Understanding the daytime oasis effect of desert cities is vital for sustainable urban planning and the design of adaptive management, providing valuable guidelines to foster smart desert cities in an era of climate variability, uncertainty, and change.

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“…The spatial resolution of the thermal band for all the situation in this study was 1.1 Km which is merely suitable for preparing small scale map of the city temperature. The ability to extract the LST and precise study of urban heat islands are facilitated by using thermal infrared Landsat (TM, ETM+ and TIRS) and ASTER data, and there are several studies in this regard in the literature (Chakraborty et al, 2015;Weng, 2001). Most northern cities of the Iran including Babol have been profoundly affected by the urban unbalanced expansion and destruction of suburban agricultural lands and green space.…”

Section: Introductionmentioning

confidence: 99%

Monitoring Spatiotemporal Changes of Heat Island in Babol City Due to Land Use Changes

Panah

Mogaddam

Firozjaei

2017

Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci.

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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.

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Assessment of land surface temperature and heat fluxes over Delhi using remote sensing data

Cited by 111 publications

References 10 publications

Modeling an Indian megalopolis– A case study on adapting SLEUTH urban growth model

Modeling an Indian megalopolis– A case study on adapting SLEUTH urban growth model

Understanding the Impact of Urbanization on Surface Urban Heat Islands—A Longitudinal Analysis of the Oasis Effect in Subtropical Desert Cities

Monitoring Spatiotemporal Changes of Heat Island in Babol City Due to Land Use Changes

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