Urban heat island explored by co-relationship between land surface temperature vs multiple vegetation indices

다국어 초록 (Multilingual Abstract)

Land surface temperature (LST), land use/land cover (LU/LC) and vegetation parameters are a substantial factor in worldwide climate change studies framework.
This study of investigating urban heat islands based on thermal remote sensing data. Thermal infrared remote sensing proved its capability in monitoring temperature and affecting microclimate in urban areas. In the present study have relationships among the multiple vegetation indices, land use/land cover and LST using remote sensing tech- niques in the Saranda forest state of Jharkhand. Normalized difference vegetation index (NDVI), Soil-adjusted vegeta- tion index (SAVI), Ratio vegetation index (RVI) and Normalized difference built-up index (NDBI) are used in this study. The study work has been done on the correlation of the association among the different vegetation indices, land use/land cover, and land surface temperature. The result shows that the external temperature an impact on surfaces of self-heating (hot spots) areas. The relationship between LST and NDVI result shows the negative corre- lation. The NDVI proposes that the green land can dete- riorate the effect on mining, urban heat island while we apparent the positive relationship between LST and NDBI.
This study demonstrates that the growth of the active mining, the industrial area significantly decreases the vegetation areas, hence grow the surface temperature. This study also shows that the external temperature has an impact on surfaces of self-heating (hot spots) areas.
Finally, the accuracy of proposed multiple indexes is evaluated by using DGPS field survey points over the study area. This analysis demonstrates the potential applicability of the methodology for climate modeling framework.

참고문헌 (Reference)

1 Wan, Z., "Using MODIS land surface temperature and normalized difference vegetation index products for monitoring drought in the southern Great Plains, USA" 25 (25): 61-72, 2004

2 LU, D., "Use of impervious surface in urban land-use classification" 102 (102): 146-160, 2006

3 Stone, B., Jr., "Urban heat and air pollution : an emerging role for planners in the climate change debate" 71 (71): 13-25, 2005

4 Yue, W., "The relationship between land surface temperature and NDVI with remote sensing : Application to Shanghai Landsat 7 ETM ＋ data" 28 (28): 3205-3226, 2007

5 Barsi, J. A., "The next Landsat satellite : The Landsat data continuity mission" 122 : 11-21, 2012

6 Bonan, G. B., "The land surface climatology of the community land model coupled to the NCAR community climate model*" 15 (15): 3123-3149, 2002

7 Zimmermann, B., "The influence of land-use changes on soil hydraulic properties : Implications for runoff generation" 222 (222): 29-38, 2006

8 James, M., "Spatial-temporal effects of land use changes on land surface temperature in Nairobi" 26-29, 2014

9 Kayet, N., "Spatial impact of land use/land cover change on surface temperature distribution in Saranda Forest, Jharkhand" 2 (2): 1-10, 2016

10 Li, Z. L., "Satellite-derived land surface temperature : Current status and perspectives" 131 : 14-37, 2013

11 Lawrence, P. J., "Representing a new MODIS consistent land surface in the Community Land Model (CLM 3.0)" 112 (112): 2007

12 Rashed, T., "Remote sensing of urban and suburban areas" Springer 2010

13 Chen, X. L., "Remote sensing image-based analysis of the relationship between urban heat island and land use/cover changes" 104 (104): 133-146, 2006

14 Congalton, R. G., "Remote sensing and geographic information system data integration : Error sources and" 57 (57): 677-687, 1991

15 Shahkooeei, E., "Remote sensing and GIS for mapping and monitoring land cover and land use changes using support vector machine algorithm(Case study : Ilam dam watershed)" 8 (8): 464-473, 2014

16 Wei, M. A., "Quantitative analysis of land surface temperature–vegetation indexes relationship based on remote sensing" XXXVII (XXXVII): 261-264, 2008

17 Wagrowski, D. M., "Polycyclic aromatic hydrocarbon accumulation in urban, suburban, and rural vegetation" 31 (31): 279-282, 1996

18 Soliman, A., "Pan-arctic land surface temperature from MODIS and AATSR : Product development and intercomparison" 4 (4): 3833-3856, 2012

19 Nichol, J., "Monitoring tropical rain forest microclimate" 61 : 1159-1165, 1995

20 Potter, K. M., "Large-scale patterns of forest fire occurrence in the conterminous United States and Alaska, 2009" 2013

21 Aeronautics, N., "Landsat 7 Science Data Users Handbook Landsat 7 Science Data Users Handbook"

22 Ramachandra, T. V., "Land surface temperature with land cover dynamics : Multi-resolution, spatiotemporal data analysis of greater Bangalore, India" 5 (5): 1-, 2009

23 Sobrino, J. A., "Land surface temperature retrieval from LANDSAT TM 5" 90 (90): 434-440, 2004

24 Alavipanah, S. K., "Land surface temperature in the yardang region of Lut Desert(Iran)based on field measurements and landsat thermal data" 9 : 287-303, 2010

25 Alipour, T., "Land surface temperature estimation from thermal band of landsat sensor, case study: Alashtar City" 38 : 4-, 2003

26 Jackson, R. D., "Interpreting vegetation indices" 11 : 185-200, 1991

27 Cristobal, J., "Improvements in land surface temperature retrieval from the Landsat series thermal band using water vapor and air temperature" 114 (114): 2009

28 Nichol, J. E., "High-resolution surface temperature patterns related to urban morphology in a tropical city : A satellite-based study" 35 : 135-146, 1996

29 Scott, L. M., "Handbook of applied spatial analysis" Springer 27-41, 2010

30 Los, S. O., "Global interannual variations in sea surface temperature and land surface vegetation, air temperature, and precipitation" 14 (14): 1535-1549, 2001

31 Weng, Q., "Estimation of land surface temperature–vegetation abundance relationship for urban heat island studies" 89 (89): 467-483, 2004

32 "Envi software vegetation analysis tutorial"

33 Lau, W. K., "Enhanced surface warming and accelerated snow melt in the Himalayas and Tibetan Plateau induced by absorbing aerosols" 5 (5): 025204-, 2010

34 Vlassova, L., "Effects of post-fire wood management strategies on vegetation recovery and land surface temperature(LST)estimated from Landsat images" 44 : 171-183, 2016

35 Stathopoulou, M., "Daytime urban heat islands from Landsat ETM ? and Corine land cover data : An application to major cities in Greece" 81 (81): 358-368, 2007

36 Mroz, M., "Comparison of several vegetation indices calculated on the basis of a seasonal SPOT XS time series, and their suitability for land cover and agricultural crop identification" 7 (7): 39-66, 2004

37 Cohen, J. L., "Asymmetric seasonal temperature trends" 39 (39): L04705-, 2012

38 Gallo, K. P., "Assessment of urban heat islands : a satellite perspective" 37 (37): 37-43, 1995

39 Justice, C. O., "An overview of MODIS Land data processing and product status" 83 (83): 3-15, 2002

40 Owen, T. W., "An assessment of satellite remotely-sensed land cover parameters in quantitatively describing the climatic effect of urbanization" 19 (19): 1663-1681, 1998

41 Southworth, J., "An assessment of Landsat TM band 6thermal data for analysing land cover in tropical dry forest regions" 25 (25): 689-706, 2004

42 Alsultan, S., "An algorithm for land surface temperature analysis of remote sensing image coverage over AlQassim, Saudi Arabia" 2005

43 Bogoliubova, A., "Accuracy assessment of automatic image processing for land cover classification of St. Petersburg protected area" 13 (13): 2014

44 Gillies, R. R., "A verification of the triangle method for obtaining surface soil water content and energy fluxes from remote measurements of the Normalized Difference Vegetation Index(NDVI)and surface e" 18 (18): 3145-3166, 1997

45 Carlson, T. N., "A method to make use of thermal infrared temperature and NDVI measurements" 9 : 161-173, 1994