Monitoring and Prediction of Land Use Land Cover Changes and its Impact on Land Surface Temperature in the Central Part of Hisar District, Haryana Under Semi-Arid Zone of India
References
- Almalki, K. A., & Al-Namazi, A. A. (2019). Impact of the industrial sector on surface temperatures in Jubail City, Saudi Arabia using remote sensing techniques. Spatial Information Research, 27(3), 329-337.10.1007/s41324-019-00237-5
- Ansari, A., & Golabi, M. H. (2019). Prediction of spatial land use changes based on LCM in a GIS environment for Desert Wetlands – A case study: Meighan Wetland, Iran. International Soil and Water Conservation Research, 7(1), 64-70.10.1016/j.iswcr.2018.10.001
- Artis, D.A. and Carnahan, W.H. (1982). Survey of emissivity variability in thermography of urban areas. Remote Sensing of Environment, 12, 313–329.10.1016/0034-4257(82)90043-8
- Card, D. H. (1982). Using known map categorical marginal frequencies to improve estimates of thematic map accuracy. Photogrammetric Engineering and Remote Sensing, 48 (3), 431–439.
- Carlson, T.N., Ripley, D.A., 1997. On the relation between NDVI, fractional vegetation cover, and leaf area index. Remote Sens. Environ. 62, 241–25210.1016/S0034-4257(97)00104-1
- Congalton, R. G. (1991). A review of assessing the accuracy of classifications of remotely sensed data. Remote Sensing of Environment 37(1), 35–46.10.1016/0034-4257(91)90048-B
- De Sherbinin, A., Schiller, A. and Pulsipher, A. (2007). The vulnerability of global cities to climate hazards. Environment and Urbanization, 19, 39-64.10.1177/0956247807076725
- Dou, P. and Chen, Y. (2017). Dynamic monitoring of land-use/land-cover change and urban expansion in Shenzhen using Landsat imagery from 1988 to 2015, International Journal of Remote Sensing, 38 (19), 5388-5407.10.1080/01431161.2017.1339926
- Duan, S.-B., Li, Z.-L. Wang, C., Zhang, S., Tang, B.-H., Leng, P. & Gao, M.-F. (2019). Land-surface temperature retrieval from Landsat 8 single- channel thermal infrared data in combination with NCEP reanalysis data and ASTER GED product. International Journal of Remote Sensing, 40 (5-6), 1763-1778.10.1080/01431161.2018.1460513
- Estoque, R.C., Murayama, Y., Myint, S.W., (2017). Effects of landscape composition and pattern on land surface temperature: an urban heat island study in the megacities of Southeast Asia. Science of the Total Environment, 577, 349–359.10.1016/j.scitotenv.2016.10.19527832866
- Fan, C., Myint, S., Kaplan, S., Middel, A., Zheng, B., Rahman, A., Huang, H.P., Brazel, A. and Blumberg, D., (2017). Understanding the impact of urbanization on surface urban heat islands—a longitudinal analysis of the oasis effect in subtropical desert cities. Remote Sensing, 9(7), p.672.10.3390/rs9070672
- Gibson, L., Munch, Z., Palmer, A., and Mantel, S. (2018). Future land cover change scenarios in South African grasslands e implications of altered biophysical drivers on land management. Heliyon 4 (2018) e00693.10.1016/j.heliyon.2018.e00693605219330035238
- Gober, P., Brazel, A., Quay, R., Myint, S., Grossman-Clarke, S., Miller, A., Rossi, S., (2009). Using watered landscapes to manipulate urban heat island effects: how much water will it take to cool Phoenix? Journal of the Americal Planning and Association 76 (1), 109–121.10.1080/01944360903433113
- Government of India (GOI), (2011). Census of India 2011: Towards a bright future. Registrar General and Census Commissioner of India, Ministry of Home Affairs, New Delhi, India.
- Herold, M., Couclelis H. and K. C. Clarke, (2005). The Role of Spatial Metrics in the Analysis and Modeling of Urban Land Use Change. Computer, Environment and Urban Systems, 29 (4), 369-399.10.1016/j.compenvurbsys.2003.12.001
- Hondula, D.M., Davis, R.E., Leisten, M.J., Saha, M.V., Veazay, L.M. and Wegner, C.R. (2012). Finescale spatial variability of heat-related mortality in Philadelphia County, USA, from 1983–2008: a case-series analysis. Environmental Health 11 (1), 1–11.10.1186/1476-069X-11-16
- Imam, A.U. and Banerjee, U.K. (2016). Urbanisation and greening of Indian cities: Problems, practices, and policies. Ambio, 45(4), 442-457.10.1007/s13280-015-0763-4482470326768899
- Islam K., Jashimuddin, M., Nath, B. and Nath, T.K. (2018). Land use classification and change detection by using multi-temporal remotely sensed imagery: The case of Chunati wildlife sanctuary, Bangladesh. The Egyptian Journal of Remote Sensing and Space Science, 21 (1), 37-47.10.1016/j.ejrs.2016.12.005
- Jain, A.K., Hooda, R.S., Nath, J. and Manchanda, M.L. (1991). Mapping and Monitoring of Urban Landuse of Hisar Town, Haryana Using Remote Sensing Techniques. Journal of the Indian Sodety of Remote Sensing, 19(2), 125-134.10.1007/BF03008127
- Kaushik, V., Saroj, Sharma M.P., Hooda R.S. (2016). Land Use / Land Cover Change detection by Using Geo-Spatial Techniques of Hisar city Haryana (India). International Journal of Science, Engineering and Technology Research, 4(4), 672-676.
- Kayet, N., Pathak, K., Chakrabarty, A. and Sahoo, S. (2016). Spatial impact of land use/land cover change on surface temperature distribution in Saranda Forest, Jharkhand. Modeling Earth Systems and Environment 2, 127.10.1007/s40808-016-0159-x
- Kikon, N., Singh, P. and Singh, S.K. and Vyas, A. (2016). Assessment of urban heat islands (UHI) of Noida City, India using multi-temporal satellite data. Sustainable Cities and Society, 22, 19-28.10.1016/j.scs.2016.01.005
- Kolb, M., Mas, J.F., Galicia, L., (2013). Evaluating drivers and transition potential models in a complex landscape in southern Mexico. International Journal of Geographical Information Science, 27 (9), 1804-1827.10.1080/13658816.2013.770517
- Kumar, P., Kumar, S. and Shekhar, C., (2016). Urban Sprawl of Hisar city using Remote sensing & GIS –A case study. International Journal of Science, Engineering and Technology Research, 5(5), 1762-1767.
- Lo, C.P., Quattrochi, D.A. and Luvall, J.C., (1997). Application of high-resolution thermal infrared remote sensing and GIS to assess the urban heat island effect. International Journal of Remote Sensing, 18, pp. 287–303.10.1080/014311697219079
- Luck, M., Wu, J.G. (2002). A gradient analysis of urban landscape pattern: a case study from the Phoenix metropolitan region, Arizona, USA. Landsc Ecol 17(4):327–339.10.1023/A:1020512723753
- Markham, B.L. & Barker, J.L. (1986). Landsat MSS and TM post-calibration dynamic ranges, exoatmosphericreflectances and at-satellite temperatures. EOSAT Landsat Technical Notes, 1, 3-8.
- Newbold, K.B., and Scott, D. (2013). Migration, commuting distance, and urban sustainability in Ontario’s Greater Golden Horseshoe: Implications of the Greenbelt and Places to Grow legislation. Can. Geogr., 57(4), 474-487.10.1111/j.1541-0064.2013.12044.x
- Rajesh (2018). Land use land cover thematic mapping using remote sensing & GIS Techniques: A case study of district Hisar. International Journal of Applied Research,4(7), 6-10.
- Ramachandra, T.V., Kumar, U., (2008). Wetlands of greater Bangalore, India: automatic delineation through pattern classifiers. Electronic Green Journal (26), Spring.10.5070/G312610729
- Ramachandra, T.V., Aithal, B., Durgappa S (2012). Insights to urban dynamics through landscape spatial pattern analysis. International Journal of Applied Earth Observation and Geoinformation 18 (2012), 329–343.10.1016/j.jag.2012.03.005
- Riffat, S., Powell, R. and Aydin, D. (2016). Future cities and environmental sustainability. Future Cities and Environment, 2, 1.10.1186/s40984-016-0014-2
- Rodriguez-Galiano, V, Chica-Olmo, M. (2012). Land cover change analysis of a Mediterranean area in Spain using different sources of data: multi-seasonal Landsat images, land surface temperature, digital terrain models and texture. Applied Geography, 35(1):208–218.10.1016/j.apgeog.2012.06.014
- Shashikant, Singh, P., Doi, R.D., Sharma, A., Kumar, R., Bhatti, P. (2015). Urban Sprawl and Spatio Temporal Analysis of Hisar City in Haryana using Remote Sensing & GIS Technology. International Journal of Science, Engineering and Technology Research, 4 (12), 4388-4392.
- Shastri, H., Barik, B., Ghosh, S., Venkataraman C. and Sadavarte, P. (2017). Flip flop of Day-night and SummerWinter Surface Urban Heat Island Intensity in India. Scientific reports, 7, 40178.10.1038/srep40178522032128067276
- Sobrino, J.A., Jiménez-Muñoz, J.C., Paolini, L., (2004). Land surface temperature retrieval from LANDSAT TM 5. Remote Sens. Environ. 90 (4), 434–440.10.1016/j.rse.2004.02.003
- Tewolde, M.G.; Cabral, P (2011). Urban sprawl analysis and modelling in Asmara, Eritrea. Remote Sensing, 3, 2148–2165.10.3390/rs3102148
- Tran, D.X., Pla, F., Carmona, P.L., Myint, S.W., Caetano, M. and Kieu, H.V. (2017). Characterizing the relationship between land use land cover change and land surface temperature. ISPRS Journal of Photogrammetry and Remote Sensing, 124, 119-132.10.1016/j.isprsjprs.2017.01.001
- UNFPA (United Nations Population Fund), (2009). Annual Report 2008, pp.44.
- United Nations (2018). The 2018 Revision of World Urbanization Prospects. New York: UN.10.18356/02486bd4-en
- Wang, Y.-C., Hu, B.K.H., Myint, S.W., Feng, C.-C., Chow, W.T.L., Passy P.F. (2018). Patterns of land change and their potential impacts on land surface temperature change in Yangon, Myanmar. Science of the Total Environment, 643, 738–75010.1016/j.scitotenv.2018.06.20929957438
- Weng, Q. and Yang, S., (2006). Urban air pollution patterns, land use, and thermal landscape: an examination of the linkage using GIS. Environmental Monitosing and Assessment 117 (1), 463–489.10.1007/s10661-006-0888-916917724
- Wulder, M.A., White, J.C., Loveland, T.R., Woodcock, C.E., Belward, A.S., Cohen, W.B., Fosnight, E.A., Shaw, J., Masek, J.G. and Roy, D.P (2016). The global Landsat archive: Status, consolidation, and direction. Remote Sensing of Environment, 185, 271–283.10.1016/j.rse.2015.11.032
- Yirsaw, E., Wu, W., Shi, X., Temesgen, H., & Bekele, B. (2017). Land use/land cover change modeling and the prediction of subsequent changes in ecosystem service values in a coastal area of China, the Su-Xi-Chang Region. Sustainability, 9 (7), 1204.10.3390/su9071204
- Yue, W., Xu, J., Tan, W. and Xu, L. (2007). The relationship between land surface temperature and NDVI with remote sensing: application to Shanghai Landsat 7 ETM+ data. International Journal of Remote Sensing, 28 (15), 3205–3226.10.1080/01431160500306906
- Zha, Y., Gao, J. and Ni, S. (2005). Use of normalized difference built-up index in automatically mapping urban areas from TM imagery. International Journal of Remote Sen
- Zhang, Y., Odeh, I. O., & Han, C. (2009). Bi-temporal characterization of land surface temperature in relation to impervious surface area, NDVI and NDBI, using a sub-pixel image analysis. International Journal of Applied Earth Observation and Geoinformation, 11(4), 256-26410.1016/j.jag.2009.03.001
Language: English
Page range: 117 - 140
Submitted on: Sep 24, 2019
Accepted on: Dec 7, 2019
Published on: Dec 30, 2019
Published by: Czech Society for Landscape Ecology
In partnership with: Paradigm Publishing Services
Publication frequency: 4 issues per year
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© 2019 Sunil Kumar, Swagata Ghosh, Ramesh Singh Hooda, Sultan Singh, published by Czech Society for Landscape Ecology
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