IJCRR - Vol 09 issue 10 current issue , May, 2017
Pages: 01-06
Land Use/Cover Mapping of Konkan Region, Maharashtra
Author: Arjun B. Doke
Category: General Sciences
[Download PDF]
Abstract:
The land is used for different activity, such as agriculture, forests, mining, transport, settlement, entertaining and manufacturing. The unused lands are unproductive waste and i.e. barren and fallow (temporary and permanent) land. Green canopy plays an important role in maintain surface temperature and humidity. The present study land use and land cover was identified through exploratory analysis, done on the bases of multitemporal Landsat TM data. The final classification map provided the land use and land cover information. The ground truthing was used to assess the accuracy of the land use and land cover analysis. Three specific bands were used with reasonable success to correlate soil, wetness and vegetation. The present study the cropland covers the highest area 10814 square kilometer in percent 35.17. Dense forest cover second large area 5653 square kilometer in percent 18.39. The settlement covers the lowest area, which is 678 square kilometer in percent 2.18. Combinations of supervised and unsupervised classifications were conducted to define land cover and land use types for the study area. The resulting products of the exploratory analyses and classification were then used to assess spatial patterns of land cover and land use in the study area.
Keywords: Land use, Land cover, Remote sensing, Image classification, Konkan Region
Citation:
Arjun B. Doke. Land Use/Cover Mapping of Konkan Region, Maharashtra International Journal of Current Research and Review. Vol 09 issue 10 current issue , May, 01-06
References:
Aher, S.P. and Dalvi, S.N. Remote Sensing Technique for Monitoring the Glacier Retreating process and Climatic Changes Study. Indian Streams Research Journal 2012;2(8):2-6.
Aher, S.P., Parande, A.N., Deshmukh, P.P.A Geometrics of the Image Processing: Image Georeferencing. Proceedings published by International Journal of Computer Applications, 2011:20-23.
Baccini, A., Friedl, M.A., Woodcock, C. E., Warbington, R. Forest biomass estimation over regional scales using multisource data. Geophysical Research Letters 2004;31(L10501):1-4
Baret, F., and Guyot, G. Potentials and limits of vegetation indices for LAI and APAR assessment. Remote Sensing of Environment1991; 35(1-2):161-73.
Bhagawat, R. Application of Remote Sensing and GIS: Land Use/Land Cover Change in Kathmandu Metropolitan City, Nepal.Journal of Theoretical and Applied Information Technology 2011:72-80.
Buddenbaum, H., Schlerf, M., Hill, J. Classification of coniferous tree species and age classes using hyperspectral data and geostatistical methods. International Journal of Remote Sensing 2005; 26(24):5453-6.
Champion, H.G. and Seth, S.K. A Revised Survey of the Forest Types of India. Govt. of India Publications, New Delhi; 1968.
Chen, G., and Wang, J.W. Spectral reflectance and aboveground biomass estimation of the grassland under protection condition. Journal of Yunnan Agricultural University 2008; 23:462-7.
Cingolani, A.M., Renison, D., Zak, M.R., Cabido, M.R. Mapping vegetation in a heterogeneous mountain rangeland using Landsat data: An alternative method to define and classify land-cover units. Remote Sensing of Environment 2004;92(1):84-97
Dadhwal, V.K., Singh, S., Patil, P. Assessment of phytomass carbon pools in forest ecosystems in India. NNRMS Bulletin 2009:41-57.
Deshmukh, K.K. and Aher, S.P.Particle size analysis of soils and its interpolation using GIS technique from Sangamner area, Maharashtra, India. International Journal of Environment Science 2014;3(10):32-7.
Deshmukh, P., Wawale, S., Aher, S.P., Thorat, S. Demarcation of Drainage Network for Watershed Management of Sangamner Tahsil using Topographical and Remote Sensing Database.Indian Stream Research Journal 2012;2(1):1-4.
Dikshit, K.R. Maharashtra in Maps, Maharashtra state Board for Literature and Culture, Bomba, 1986:p.245.
Doke, A. B. Land use/Land cover mapping of Nagpur Region (MS). Research Journal of Science and IT Management 2017;6:6-13.
Dong, J., Kaufmann, R.K., Myneni, R.B., Tucker, C.J., Kauppi, P.E., Liski, J., Buermann, W., Alexeyev, V., Hughes, M.K. Remote sensing estimation of boreal and temperate forest woody biomass: carbon pools, sources and sinks. Remote Sensing of Environment 2003; 84:393-410.
Egbert, S.L., Park, S., Price, K.P., et al. Using conservation reserve program maps derived from satellite imagery to characterize landscape structure. Computers and Electronics in Agriculture 2002; 37(1-3):141-56.
Foody, G.M. Status of land cover classification accuracy assessment. Remote Sensing of Environment2002; 80(1):185-201.
Foody, G.M., Boyd, D.S., Cutler, M.E.J. Predictive relations of tropical forest biomass from Landsat TM data and their transferability between regions. Remote Sensing of Environment 2003; 85(4):463-74.
Freeman, T.W. Geography and Planning. Hutchinson, University Library, London; 1968.
Gajbhiye, S. and Sharma, S.K. Land Use and Land Cover change detection of Indra river watershed through Remote Sensing using Multi-Temporal satellite data. International Journal of Geomatics and Geosciences2012; 3(1):89-90.
Hall, R.J., Skakun, R.S., Arsenault, E.J., Case, B.S. Modeling forest stand structure attributes using Landsat ETM+ data: Application to mapping of aboveground biomass and stand volume. Forest Ecology and Management 2006; 225(1-3):378-90.
He C, Zhang Q, Li Y, et al. Zoning grassland protection area using remote sensing and cellular automata modeling-a case study in Xilingol steppe grassland in northern China. Journal of Arid Environment 2005; 63(4):814-26.
Heiskanen, J. Estimating aboveground tree biomass and leaf area index in a mountain birch forest using ASTER satellite data. International Journal of Remote Sensing 2006; 27(6):1135-58.
India State of Forest Report. Forest Survey of India, FSI (Ministry of Environment and Forest), Dehradun, India 2009.
Ingram, J.C., Dawson, T.P., Whittaker, R.J. Mapping tropical forest structure in southern Madagascar using remote sensing and artificial neural networks.
Remote Sensing of Environment 2005; 94: 491-507.
Jog, S.R., Wakhare, A., Chaudhuri, S., Unde, M., Pardeshi, S.D. Maharashtra Landscape: A Perspective, In: Diddee, J., Jog, S.R., Kale, V.S., Datya V.S. (Eds.) Geography of Maharashtra. Rawat Publication, Jaipur 2002:19-57.
Jung, M., Churkina, G., Henkel, K., Herold, M., Churkina, G. Exploiting synergies of global land cover products for carbon cycle modeling. Remote Sensing of Environment2006; 101:534-53.
Karlekar S.N. Geomorphology of the Konkan coast, In Diddee, Jaymala, Jag, S.R., Kale, V. S., Datye, V.S. (Eds). Geography of Maharashtra. Rawat Publications, Jaipur 2002:58-71.
Lambin, E.F., Turner, B.L., Helmut, J., et al. The causes of land-use and land-cover change: moving beyond the myths. Global Environment Chang 2001; 11(4):261-9.
Landsat TM FCC, (landsat thematic mapper, false colour composite) http://gisgeography.com/usgs-earth-explorer-download-free-landsat-imagery/(accessed on December 2016).
Lee, S., Lathrop, R.G.Sub-pixel estimation of urban land cover components with linear mixture model analysis and Landsat Thematic Mapper imagery. International Journal of Remote Sensing2005; 26(22):4885-905.
Lu, D., Mausel, P., Brondizio, E., Moran, E. Relationships between forest stand parameters and Landsat TM spectral responses in the Brazilian Amazon Basin. Forest Ecology and Management2004; 198(1-3):149-67.
Maynard, C.L., Lawrence, R.L., Nielsen, G.A., Decker, G. Modeling vegetation mount using band wise regression and ecological site descriptions as an alternative to vegetation indices. GIScience and Remote Sensing2007; 44(1):1-14.
Mohammad, N. Investigating Land Use and Land Cover Change in Bahrain: 1987-2013.Geospatial Technologies project 1980.
Nanavati, M.B. and Anjaria, J.J. The Indian Rural Problem. Vora and Co. Bombay 1951.
Pralhad, Y.V. and Deore, R.S. Population Growth and Changing Land use Profile in Girna River Basin in Nashik District (MS).International Research Journal2010;1(3-4):11-12.
Rapp, J., Lautzenheiser, T., Wang, D., Cepan, D., Thompson, E. Evaluating error in using the national vegetation classification system for ecological community mapping in Northern New England, USA. Nat Areas Journal2005; 25(1):46-54.
Stamp, L.D. Applied Geography. Penguin Books, Suffolk 1930;105-7.
Vink, A.P.A. Land Use in Advancing Agriculture.Springer-Verlag Berlin Heidelberg New York 1975; 3:3-17.
Weber, K.T.Challenges of integrating geospatial technologies into rangeland research and management. Rangeland Ecology and Management2006; 59(1):38-43.
Xiao, X., Zhang, Q., Braswell, B., Urbanski, S., Boles, S., Wofsy, S., Moore, B., Ojima, D. Modeling gross primary production of temperate deciduous broadleaf forest using satellite images and climate data. Remote Sensing of Environment2004; 91(2):256-70.
Zianis, D., Muukkonen, P., Makipaa, R., Mencuccini, M. Biomass and stem volume equations for tree species in Europe. Silva Fennica Monographs 2005; 4:1-63.
|