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Statistical analysis of diurnal variations in land surface temperature and the UHI effect using aqua and terra MODIS data
Natural and anthropogenic environmental changes are the key drivers in expansion of cities in the form of higher surface temperature than the expected one. This study aims to investigate the seasonality and homogeneity of surface temperatures in Indian city and its environs. To this end, we utilized...
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Published in: | Remote sensing letters 2023-05, Vol.14 (5), p.503-511 |
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description | Natural and anthropogenic environmental changes are the key drivers in expansion of cities in the form of higher surface temperature than the expected one. This study aims to investigate the seasonality and homogeneity of surface temperatures in Indian city and its environs. To this end, we utilized day and night-time remote sensing data collected by Moderate Resolution Imaging Spectroradiometer (MODIS) sensor aboard the Aqua and Terra satellites from 2003 to 2020, encompassing the summer, monsoon and winter seasons. Our investigation reveals that the outskirts of urban centres experience significantly higher surface temperatures and more intense Urban Heat Indices (UHI) throughout the day. The temperature differential in the study area is consistently high throughout the year. Notably, both during the day and at night, the metropolitan areas of Ahmedabad city exhibit significantly higher temperatures than the surrounding rural regions. Furthermore, correlation analysis suggests that the most reliable results are obtained using the day-day and night-night combinations during the summer, monsoon and winter seasons, as opposed to the day-night and night-day combinations. These findings provide valuable insights into the thermal characteristics of urban regions, highlighting the need for appropriate mitigation strategies to combat the effects of UHI and promote sustainable development. |
doi_str_mv | 10.1080/2150704X.2023.2215948 |
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This study aims to investigate the seasonality and homogeneity of surface temperatures in Indian city and its environs. To this end, we utilized day and night-time remote sensing data collected by Moderate Resolution Imaging Spectroradiometer (MODIS) sensor aboard the Aqua and Terra satellites from 2003 to 2020, encompassing the summer, monsoon and winter seasons. Our investigation reveals that the outskirts of urban centres experience significantly higher surface temperatures and more intense Urban Heat Indices (UHI) throughout the day. The temperature differential in the study area is consistently high throughout the year. Notably, both during the day and at night, the metropolitan areas of Ahmedabad city exhibit significantly higher temperatures than the surrounding rural regions. Furthermore, correlation analysis suggests that the most reliable results are obtained using the day-day and night-night combinations during the summer, monsoon and winter seasons, as opposed to the day-night and night-day combinations. 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This study aims to investigate the seasonality and homogeneity of surface temperatures in Indian city and its environs. To this end, we utilized day and night-time remote sensing data collected by Moderate Resolution Imaging Spectroradiometer (MODIS) sensor aboard the Aqua and Terra satellites from 2003 to 2020, encompassing the summer, monsoon and winter seasons. Our investigation reveals that the outskirts of urban centres experience significantly higher surface temperatures and more intense Urban Heat Indices (UHI) throughout the day. The temperature differential in the study area is consistently high throughout the year. Notably, both during the day and at night, the metropolitan areas of Ahmedabad city exhibit significantly higher temperatures than the surrounding rural regions. Furthermore, correlation analysis suggests that the most reliable results are obtained using the day-day and night-night combinations during the summer, monsoon and winter seasons, as opposed to the day-night and night-day combinations. These findings provide valuable insights into the thermal characteristics of urban regions, highlighting the need for appropriate mitigation strategies to combat the effects of UHI and promote sustainable development.</description><subject>Anthropogenic changes</subject><subject>Anthropogenic factors</subject><subject>Correlation analysis</subject><subject>diurnal and temporal variation</subject><subject>Diurnal variations</subject><subject>Environmental changes</subject><subject>Homogeneity</subject><subject>Land surface temperature</subject><subject>Land Surface Temperature (LST)</subject><subject>Metropolitan areas</subject><subject>Mitigation</subject><subject>Moderate Resolution Imaging Spectroradiometer (MODIS)</subject><subject>MODIS</subject><subject>Monsoons</subject><subject>Night</subject><subject>Remote sensing</subject><subject>Remote sensors</subject><subject>Rural areas</subject><subject>Seasonal variations</subject><subject>Seasonality</subject><subject>Spectroradiometers</subject><subject>Statistical analysis</subject><subject>Statistical methods</subject><subject>Summer</subject><subject>Surface temperature</subject><subject>Sustainable development</subject><subject>Temperature</subject><subject>Urban areas</subject><subject>Urban Heat Indices (UHI)</subject><subject>Winter</subject><issn>2150-704X</issn><issn>2150-7058</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2023</creationdate><recordtype>article</recordtype><recordid>eNp9UMtOwzAQjBBIVNBPQLLEucWO7dq5gcqjlYp6KJV6s7aODa7SpLUdUP6ehBSO7GVfM7PaSZIbgscES3yXEo4FZptxilM6Tts2Y_IsGXTzkcBcnv_VbHOZDEPY4TYoYVLIQdKsIkQXotNQICihaIILqLIod7VvW_QJ3rWIqgzIlaiAMkeh9ha0QdHsD8ZDrL1B3Tx-GLSezZGx1uiI6uDKdwTHGvqt8R7Q6_JxvkI5RLhOLiwUwQxP-SpZPz-9TWejxfJlPn1YjDSlMo4EABOYbDPBNE6JAK23uWQ8yzilnQOEC25yAZSJCWETknFBBc3lhGGRYUavktte9-CrY21CVLvq57WgUpkSQiWWvEXxHqV9FYI3Vh2824NvFMGqO6N-jVad0epkdMu773mutJXfw1fli1xFaIrKWw-ldkHR_yW-AQ_Ugyg</recordid><startdate>20230504</startdate><enddate>20230504</enddate><creator>Chauhan, Shivam</creator><creator>Jethoo, Ajay Singh</creator><general>Taylor & Francis</general><general>Taylor & Francis Ltd</general><scope>AAYXX</scope><scope>CITATION</scope><scope>7TN</scope><scope>8FD</scope><scope>F1W</scope><scope>FR3</scope><scope>H8D</scope><scope>H96</scope><scope>KR7</scope><scope>L.G</scope><scope>L7M</scope><orcidid>https://orcid.org/0000-0003-3047-3522</orcidid><orcidid>https://orcid.org/0000-0002-4610-4177</orcidid></search><sort><creationdate>20230504</creationdate><title>Statistical analysis of diurnal variations in land surface temperature and the UHI effect using aqua and terra MODIS data</title><author>Chauhan, Shivam ; 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Furthermore, correlation analysis suggests that the most reliable results are obtained using the day-day and night-night combinations during the summer, monsoon and winter seasons, as opposed to the day-night and night-day combinations. These findings provide valuable insights into the thermal characteristics of urban regions, highlighting the need for appropriate mitigation strategies to combat the effects of UHI and promote sustainable development.</abstract><cop>Abingdon</cop><pub>Taylor & Francis</pub><doi>10.1080/2150704X.2023.2215948</doi><tpages>9</tpages><orcidid>https://orcid.org/0000-0003-3047-3522</orcidid><orcidid>https://orcid.org/0000-0002-4610-4177</orcidid></addata></record> |
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subjects | Anthropogenic changes Anthropogenic factors Correlation analysis diurnal and temporal variation Diurnal variations Environmental changes Homogeneity Land surface temperature Land Surface Temperature (LST) Metropolitan areas Mitigation Moderate Resolution Imaging Spectroradiometer (MODIS) MODIS Monsoons Night Remote sensing Remote sensors Rural areas Seasonal variations Seasonality Spectroradiometers Statistical analysis Statistical methods Summer Surface temperature Sustainable development Temperature Urban areas Urban Heat Indices (UHI) Winter |
title | Statistical analysis of diurnal variations in land surface temperature and the UHI effect using aqua and terra MODIS data |
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