Study of Environmental Impact Analysis with Geospatial Technique in Newtown, Kolkata, India
Keywords:
Urbanization, Built-up area Index, Impervious Index, Land Surface Temperature Index, Urban Heat IslandAbstract
The expansion in planned pattern occupies the north-eastern fringe of Kolkata by development of New Town area due to development of human settlement. It has led to the rise of temperature along with impervious surface, important in analysing the Urbanization and present day environmental condition. The Geospatial Technique helps in analysing the land use change pattern. It incorporates Landsat8 OLI of 2018,Landsat 7 ETM+ of 2010 satellite data. Software modelling is done followed by interpretation. The Built-up area Index (BI), Land Surface Temperature (LST) Index on temporal and spatial scale can justify the rate of increase in urbanized area along with rise of temperature. Urban Heat Island condition is analysed. It can predict probable impact on future climatic condition of Newtown location in Kolkata.
References
Artis, D.A., Carnahan, W.H., 1982. Survey of emissivity variability in thermography of urban areas. Remote Sens. Environ. 12, 313–329.
Cao, L., Li, P., Zhang, L., Chen, T., 2008. Remote sensing image-based analysis of the relationship between urban heat island and vegetation fraction. In: The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences. Vol. XXXVII. Part B7. Beijing 2008.
Effat, H., Hassan, O., 2014. Change detection of urban heat islands and some related parameters using multi-temporal Landsat images; a case study for Cairo city, Egypt. Urban Climate Urban Climate 10 (2014), 171–188.
J.R., 2000, Remote Sensing of the Environment, An Earth Resource Perspective, Prentice-Hall Series in Geographic Information Science, Chapter 12, pp. 407–466 (Upper Saddle River, NJ: Prentice Hall).
K.Y. and VAROTSOS, C.A., 2001b, Global tropospheric ozone dynamics—Part II: numerical modelling of tropospheric ozone variability-Part I: tropospheric ozone precursors [ESPR 8 (1) 57–62 (2001)]. Environmental Science and Pollution Research, 8, pp. 113–119.
Markham, B.L., Barker, J.K., 1985. Spectral characteristics of the LANDSAT Thematic Mapper sensors. Int. J. Remote Sens. 6, 697–716.
MUNN, R.E. (Ed.), 1975, Environmental Impact Assessment: Principles and Procedures, SCOPE Report 5, (Toronto: John Wiley and Sons).
Nieuwolt, S., 1966. The Urban Microclimate of Singapore. J. Trop. Geogr. 22, 30– 37.Ogashawara, I., Brum Bastos, V.D.S., 2012. A quantitative approach for analyzingtherelationship between urban heat islands and land cover. Remote Sens. 2012 (4),3596–3618.
Pal .Swadesh,Ziaul S.K,2017.Detection of land use and land cover change and land surface temperature in English Bazar urban centre,The Egyptian Journal of Remote Sensing and Space Sciences 20,125–145.
Ramachandra, T.V., Kumar, U., 2010. Greater Bangalore: emerging urban heat island. GIS Dev. 14 (1), 86– 104.
RAJITHA, K., MUKHERJEE, C.K. and VINU CHANDRAN, R., 2007, Review applications of remote sensing and GIS for sustainable management of shrimp culture in India. Aquacultural Engineering, 36, pp. 1–17.
S., BOCK, M., WISSEN, M. and ROSSNER, G., 2004, Mapping and indicator approaches for the assessment of habitats at different scales using remote sensing and GIS methods. Landscape and Urban Planning, 67, pp. 43–65.
Tan, K.C., San Lim, H., MatJafri, M.Z., Abdullah, K., 2010b. Landsat data to evaluate urban expansion and determine land use/land cover changes in Penang Island, Malaysia. Environ. Earth Sci. 60 (7), 1509–1521.
VAROTSOS, C., ALEXANDRIS, D., CHRONOPOULOS, G. and TZANIS, C., 2001a, Aircraft observations of the solar ultraviolet irradiance throughout the troposphere. Journal of Geophysical Research—Atmospheres, 106, pp. 14843–14854
WORLD BANK, 1993, Geographic information systems for environmental assessment and review. Environmental Assessment Sourcebook Update No. 3.
YILMA, A.D., 2004, Use of Geospatial Technologies for Environmental Protection in Ethiopia, United Nations/European Space Agency/Sudan Remote Sensing Workshop On the Use of Space Technology for Natural Resources Management Environmental Monitoring, and Disaster Management, 4–8 April, 2004, Khartoum, Sudan.
Zha, Y., Gao, J., Ni, S., 2003. Use of normalized difference built-up index in automatically mapping urban areas from TM imagery. Int. J. Remote Sens. 24 (3), 583–594.
Zhang, H., Qi, Z.F., Ye, X.Y., Cai, Y.B., Ma, W.C., Chen, M.N., 2013. Analysis of land use/land cover change, population shift, and their effects on spatiotemporal patterns of urban heat islands in metropolitan Shanghai, China. Appl. Geogr. 44, 121–133.
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