Emerging Urban Heat Islands in the New Capital Region of Andhra Pradesh, India - A Satellite based Evaluation

Kusuma Sundara Kumar, Pinnamaneni Udaya Bhaskar, Kollipara Padma Kumari, (doi: 10.23953/cloud.ijarsg.69)


Satellite-based estimation and evaluation of urban heat islands (UHI) are latest in the field of urban micro climate and environmental management. UHI is one of the serious upcoming climatological issues regarding the development of cities. Conversion of the vegetative area into the impervious surface is the root cause of this problem of development of urban heat. Large-area coverage, quick process, more economical, less energy and other requirements are the attractive features of the satellite-based studies. The present study deals with the formation of UHI in the new capital region of Andhra Pradesh, a recently formed state in India in the year 2015. Satellite images of Landsat-8 are procured and processed to develop LULC and land surface temperature (LST) images. Field data of about 100 points, collected in the study area is also used in this work and the classification accuracy obtained is about 93%. From LULC and LST images it was concluded that the capital region is experiencing severe UHI phenomenon. The two big cities Vijayawada and Guntur are emerged as hot spots. High and low LST obtained are 580C and 230C respectively. The corresponding areas of hot and cold regions were estimated and presented. The outcome of this research can be used as a scientific basis for urban planners in urban planning and management as well as to increase the community awareness in urban heating effect. Urban greening is an essential measure to be adopted by the urban planners to protect the citizens from the ill effects of UHI.


Urban Heat Island; Land Surface Temperature; Landsat-8; Land Use; Land Cover

Full Text: PDF


  • There are currently no refbacks.

Creative Commons License
This work is licensed under a Creative Commons Attribution 3.0 License.

*2016 Journal Impact Factor was established by dividing the number of articles published in 2014 and 2015 with the number of times they are cited in 2016 based on Google Scholar, Google Search and the Microsoft Academic Search. If ‘A’ is the total number of articles published in 2014 and 2015, and ‘B’ is the number of times these articles were cited in indexed publications during 2016 then, journal impact factor = A/B. To know More: (http://en.wikipedia.org/wiki/Impact_factor)