Satellite-based analysis of the role of land use/land cover and vegetation density on surface temperature regime of Delhi, India

Kant, Yogesh; Bharath, B. D.; Mallick, Javed; Atzberger, Clement; Kerle, N.

doi:10.1007/s12524-009-0030-x

Cited by 54 publications

(31 citation statements)

References 7 publications

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“…According to them, the LST ranged from 22.2 °C to 46 °C with west and south-western part of Delhi exhibiting the highest surface temperature (35-44 °C). Kant et al [21] analyzed LST using ASTER datasets for Delhi using the 22 September 2003 images and observed parallel results. On the basis of analysis of 80 samples points selected for all the four seasons, it is found that the overall average surface temperature is lowest in January and highest in May.…”

Section: Resultsmentioning

confidence: 92%

“…Summers are long and extremely hot accompanied with frequent dust storms. Humidity level is high during the monsoon season, while the air is dry during the rest of the year [21,40]. For the purpose of governance and management, Delhi is divided into nine districts and 27 tehsils/sub-divisions.…”

Section: Study Areamentioning

confidence: 99%

“…Mallick et al [30] relied on Landsat data while, Mohan et al [31] used LISS III data for establishing relationship between urbanization and land use/cover of Delhi. On the other hand, Kant et al [21] based the research using ASTER data and Roy et al [32] by installing temperature recording instruments over Delhi.…”

Section: Introductionmentioning

confidence: 99%

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Inter-Seasonal Variations of Surface Temperature in the Urbanized Environment of Delhi Using Landsat Thermal Data

2014

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Abstract:Complex land use/cover patterns in urban areas significantly influence their prevailing surface temperature conditions. As a result of differential cooling and heating of various land use/cover, large temperature ranges are associated with bare land, built-up land, etc. and low ranges are found in vegetation cover and water bodies. Extremely high and low temperature conditions in built-up land have direct and negative impacts on health conditions, and therefore are imperative to study. Thus, an attempt has been made in this research to analyze seasonal variations in surface temperature in city of Delhi. Landsat Thematic Mapper (TM) 5 satellite images for the four seasons, viz., 16 January (winter), 5 March (spring), 8 May (summer) and 29 September (autumn) 2011 have been used to interpret the distribution and changes in surface temperature. A total of 80 samples from all land use/cover categories were taken to generalize the patterns along with north-south and west-east profiles. The extracted surface temperature patterns reflect the spatial and temporal dynamics of temperature over different land use/cover. The north-south and west-east gradient of temperature demonstrates that the core of Delhi has a much lower temperature and weak urban heat island (UHI) phenomenon.

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Section: Resultsmentioning

confidence: 92%

Section: Study Areamentioning

confidence: 99%

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Inter-Seasonal Variations of Surface Temperature in the Urbanized Environment of Delhi Using Landsat Thermal Data

2014

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“…One of the main causes of global climate change is increasing industrialization and urbanization. Currently, the most crucial problem that urban areas suffer from is rising surface temperatures caused by the loss of areas of vegetation and the increase of impermeable non-transpiring, non-evaporating, hard land surfaces [2][3][4][5][6]. One of the most noticeable effects of the modifications of terrestrial ecosystems by human activity is the change in land use/land cover (LULC) as it has greatly impacted the environment locally, regionally and globally [7][8][9].…”

Section: Introductionmentioning

confidence: 99%

Urban Land Use Land Cover Changes and Their Effect on Land Surface Temperature: Case Study Using Dohuk City in the Kurdistan Region of Iraq

Ibrahim

2017

Climate

155

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Abstract:The growth of urban areas has a significant impact on land use by replacing areas of vegetation with residential and commercial areas and their related infrastructure; this escalates the land surface temperature (LST). Rapid urban growth has occurred in Duhok City due to enhanced political and economic growth during the period of this study. The objective is to investigate the effect of land use changes on LST; this study depends on data from three Landsat images (two Landsat 5-TM and Landsat OLI_TIRS-8) from 1990, 2000 and 2016. Supervised classification was used to compute land use/cover categories, and to generate the land surface temperature (LST) maps the Mono-window algorithm was used. Images were also used to create the normalized difference vegetation index (NDVI), normalized difference built-up index (NDBI), normalized difference bareness index (NDBAI) and normalized difference water index (NDWI) maps. Linear regression analysis was used to generate relationships between LST with NDVI, NDBI, NDBAI and NDWI. The study outcome proves that the changes in land use/cover have a significant role in the escalation of land surface temperatures. The highest temperatures are associated with barren land and built-up areas, ranging from 47 • C, 50 • C, 56 • C while lower temperatures are related to water bodies and forests, ranging from 25 • C, 26 • C, 29 • C respectively, in 1990, 2000 and 2016. This study also proves that NDVI and NDWI correlate negatively with low temperatures while NDBI and NDBAI correlate positively with high temperatures.

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“…Issues pertaining to land surface emissivity, LST and NDVI are explored by Mallick et al [24], Mallick et al [25], Sharma and Joshi [26] and Kant et al [27] for Delhi, while a UHI examination for Mumbai is still unexplored. However, analysis of population growth and LU change is examined [28], but not with the help of satellite data.…”

Section: Introductionmentioning

confidence: 99%

Analysis of Urban Heat Island (UHI) in Relation to Normalized Difference Vegetation Index (NDVI): A Comparative Study of Delhi and Mumbai

2015

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Abstract:The formation and occurrence of urban heat island (UHI) is a result of rapid urbanization and associated concretization. Due to intensification of heat combined with high pollution levels, urban areas expose humans to unexpected health risks. In this context, the study aims at comparing the UHI in the two largest metropolitan cities of India, i.e., Delhi and Mumbai. The presence of surface UHI is analyzed using the Landsat 5 TM image of 5 May 2010 for Delhi and the 17 April 2010 image for Mumbai. The validation of the heat island is done in relation to the Normalized Difference Vegetation Index (NDVI) patterns. The study reveals that built-up and fallow lands record high temperatures, whereas the vegetated areas and water bodies exhibit lower temperatures. Delhi, an inland city, possesses mixed land use and the presence of substantial tree cover along roads; the Delhi Ridge forests and River Yamuna cutting across the city have a high influence in moderating the surface temperatures. The temperature reaches a maximum of 35 °C in West Delhi and a minimum of 24 °C in the east at the River Yamuna. Maximum temperature in East Delhi goes to 30 °C, except the border areas. North, Central and south Delhi have low temperatures (28 °C-31 °C), but the peripheral areas have high temperatures (36 °C-37 °C). The UHI is not very prominent in the case of Delhi. This is proven by the correlations of surface temperature with NDVI. South Delhi, New Delhi and areas close to River Yamuna have high NDVI and, therefore, record low temperatures. Mumbai, on the other hand, is a coastal city with lower tree cover than Delhi. The Borivilli National Park (BNP) is in the midst of dense horizontal and vertical growth of buildings. The UHI is much stronger where the heat is trapped that is, the built-up zones. There are OPEN ACCESSEnvironments 2015, 2 126 four small rivers in Mumbai, which have low carrying capacity. In Mumbai suburban district, the areas adjoining the creeks, sea and the lakes act as heat sinks. The coastal areas in South Mumbai record temperatures of 28 °C-31 °C; the Bandra-Kurla Complex has a high range of temperature i.e., 31 °C-36 °C. The temperature witnessed at Chattrapati Shivaji International Airport is as high as 38 °C. The temperature is nearly 37 °C-38 °C in the Dorai region in the Mumbai suburban district. The BNP has varied vegetation density, and therefore, the temperature ranges from 27 °C-31 °C. Powai Lake, Tulsi Lake and other water bodies record the lowest temperatures (24 °C-26 °C). There exists a strong negative correlation between NDVI and UHI of Mumbai, owing to less coverage of green and vegetation areas.

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Satellite-based analysis of the role of land use/land cover and vegetation density on surface temperature regime of Delhi, India

Cited by 54 publications

References 7 publications

Inter-Seasonal Variations of Surface Temperature in the Urbanized Environment of Delhi Using Landsat Thermal Data

Inter-Seasonal Variations of Surface Temperature in the Urbanized Environment of Delhi Using Landsat Thermal Data

Urban Land Use Land Cover Changes and Their Effect on Land Surface Temperature: Case Study Using Dohuk City in the Kurdistan Region of Iraq

Analysis of Urban Heat Island (UHI) in Relation to Normalized Difference Vegetation Index (NDVI): A Comparative Study of Delhi and Mumbai

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