Current Science

Open Access Open Access  Restricted Access Subscription Access

Long-Term Monitoring of Land-Use/Land-Cover Change in Morena District, Madhya Pradesh, India, Using EO Satellite Data


Affiliations
1 Department of Geography, Ambah P.G. (Autonomous) College, Jiwaji University Gwalior, Ambah, Morena 476 111, India
2 Remote Sensing Application Centre, MP Council of Science and Technology, Vigyan Bhawan, Bhopal 462 003, India
3 Scientific Research and Training Division, Space Applications Centre (ISRO), Ahmedabad 380 015, India
4 TALEEM Research Foundation, Sterling City Plaza, Bopal, Ahmedabad 380 058, India
 

Knowledge on land-use/land-cover (LULC) patterns plays an important role in the development plan of any area. In addition, the information on change in LULC is important in studying the type and magnitude of land conversion and the associated land and environmental degradation taking place in a given area. In the present study, we map and monitor the LULC change that has taken place in Morena district, Madhya Pradesh, India during the past 25 years (1994–2018). Multi-season satellite data have been analysed along with ancillary information to prepare LULC maps at 1 : 50,000 scale for 1994 and 2018. These maps reveal that the area under built-up land has increased from 23.19 to 57.69 sq. km, mainly due to population growth. Double-cropped area has increased from 608.05 to 2050.08 sq. km due to reclamation of ravines. Ravine area in the district has decreased by about 22% during the above-mentioned period, indicating that the land reclamation measures taken by the people and the concerned government department have been effective in combating land degradation. The area under dense forest has decreased from 235.47 to 143.47 sq. km due to deforestation and forest degradation.

Keywords

Change Detection, Deforestation, Land Use, Land Cover, Ravines, Satellite Data.
User
Notifications
Font Size

  • Dhinwa, P. S. et al., Land use change analysis of Bharatpur district using GIS. J. Indian Soc. Remote Sensing, 1992, 20(4), 237–250.

  • Turner, B. L., Meyer, W. B. and Skole, D. L., Global land-use/land-cover change: towards an integrated study. Ambio, 1994, 23(1), 91–95.

  • Meyer, W. B., Past and present land use and land cover in the USA. Consequen.: Nat. Implic. Environ. Change, 1995, 1(1), 25–33.

  • Moser, S. C., A partial instructional module on global and regional land use/cover change: assessing the data and searching for general relationships. GeoJournal, 1996, 39(3), 241–283.

  • Meyer, W. B. and Turner, B. L., Human population growth and global land-use/cover change. Annu. Rev. Ecol. Syst., 1992, 23(1), 39–61.

  • Parveen, S. and Ahmed, N. A., Comparative analysis of the materials used in roof building in Uttar Pradesh. Int. J. Sci. Res. Rev., 2017, 6(3), 23–39.

  • Khan, J. H., Parveen, S. and Ahmed, N., Regional analysis of sanitation facilities in Uttar Pradesh. J. Hum. Soc. Sci., 2017, 20(10), 48–56.

  • Otterman, J., Baring high-albedo soils by overgrazing: a hypothesized desertification mechanism. Science, 1974, 186(4163), 531–533.

  • Charney, J., Stone, P. H. and Quirk, W. J., Drought in the Sahara: a biogeophysical feedback mechanism. Science, 1975, 187(4175), 434–435.

  • Sala, O. E., Chapin, F. S., Armesto, J. J., Berlow, E., Bloomfield, J., Dirzo, R. and Leemans, R., Global biodiversity scenarios for the year 2100. Science, 2000, 287(5459), 1770–1774.

  • Trimble, S. W. and Crosson, P., US soil erosion rates –myth and reality. Science, 2000, 289(5477), 248–250.

  • Vitousek, P. M., Mooney, H. A., Lubchenco, J. and Melillo, J. M., Human domination of Earth’s ecosystems. Science, 1997, 277(5325), 494–499.

  • Erle, E. and Pontius, R., Land-use and land-cover change. In Encyclopaedia of Earth (ed. Cleveland, C. J.). Environmental Information Coalition, National Council for Science and the Environment, Washington, DC, USA, 2007; http://dx.doi.org/10.3390/w7084427 (accessed on 19 January 2008).

  • Ding, J., Jiang, J., Fu, L., Liu, Q., Peng, Q. and Kang, M., Impacts of land use on surface water quality in a subtropical river basin: a case study of the Dongjiang River Basin, south-eastern China. J. Water, 2015, 7, 4427–4445.

  • Verburg, P. H., Veldkamp, A. and Fresco, L. O., Simulation of changes in the spatial pattern of land use in China. Appl. Geogr., 1999, 19(3), 211–233.

  • Brown, K., McIlveen, H. and Strugnell, C., Nutritional awareness and food preferences of young consumers. Nutr. Food Sci., 2000, 30(5), 230–235.

  • Theobald, D. M., Land-use dynamics beyond the American urban fringe. Geograph. Rev., 2001, 91(3), 544–564.

  • Riebsame, W. E., Meyer, W. B. and Turner, B. L., Modeling land use and cover as part of global environmental change. Climatic Change, 1994, 28(1–2), 45–64.

  • Long, H., Tang, G., Li, X. and Heilig, G. K., Socio-economic driving forces of land-use change in Kunshan, the Yangtze River Delta economic area of China. J. Environ. Manage., 2007, 83(3), 351–364.

  • Foley, J. A., DeFries, R., Asner, G. P., Barford, C., Bonan, G., Carpenter, S. R. and Helkowski, J. H., Global consequences of land use. Science, 2005, 309(5734), 570–574.

  • Ajai, Mapping from high-resolution satellite images and global positioning systems. Natl. Acad. Sci. Lett., 2004, 27(9–10), 329–338.

  • Shastri, S., Singh, P., Verma, P., Rai, P. K. and Singh, A. P., Assessment of spatial changes of land use/land cover dynamics, using multi-temporal Landsat data in Dadri Block, Gautam Buddh Nagar, India. Forum Geographic, 2020, XIX(I), 72–77; http://dx.doi.org/10.575/fg.2020.063.i

  • Census of India, Population enumeration data (final population), 2011; https://censusindia.gov.in/2011census/population_enumeration.html

  • GoI, District Groundwater Information Booklet, Morena district, MP, Ministry of Water Resources, CGWD, North Central Region, Government of India, 2013.

  • NRSC, Manual of National Land Use/Land Cover Mapping (Second Cycle) Using Multi-temporal Satellite Data, National Remote Sensing Centre, Department of Space, Hyderabad, 2012.

  • FAO, Forestry and rural development, Food and Agriculture Organisation of the United Nations, Rome, Italy, 1981, p. 254.

  • NWDB, Description and classification of wastelands. National Wasteland Development Board, New Delhi, 1987.

  • Foody, G. M., Status of land cover classification accuracy assessment. Remote Sensing Environ., 2002, 80, 185–201.


Abstract Views: 207

PDF Views: 101




  • Long-Term Monitoring of Land-Use/Land-Cover Change in Morena District, Madhya Pradesh, India, Using EO Satellite Data

Abstract Views: 207  |  PDF Views: 101

Authors

Ajay Tiwari
Department of Geography, Ambah P.G. (Autonomous) College, Jiwaji University Gwalior, Ambah, Morena 476 111, India
Shivraj Singh Tomar
Department of Geography, Ambah P.G. (Autonomous) College, Jiwaji University Gwalior, Ambah, Morena 476 111, India
Vivek Katare
Remote Sensing Application Centre, MP Council of Science and Technology, Vigyan Bhawan, Bhopal 462 003, India
S. P. Vyas
Scientific Research and Training Division, Space Applications Centre (ISRO), Ahmedabad 380 015, India
P. S. Dhinwa
TALEEM Research Foundation, Sterling City Plaza, Bopal, Ahmedabad 380 058, India

Abstract


Knowledge on land-use/land-cover (LULC) patterns plays an important role in the development plan of any area. In addition, the information on change in LULC is important in studying the type and magnitude of land conversion and the associated land and environmental degradation taking place in a given area. In the present study, we map and monitor the LULC change that has taken place in Morena district, Madhya Pradesh, India during the past 25 years (1994–2018). Multi-season satellite data have been analysed along with ancillary information to prepare LULC maps at 1 : 50,000 scale for 1994 and 2018. These maps reveal that the area under built-up land has increased from 23.19 to 57.69 sq. km, mainly due to population growth. Double-cropped area has increased from 608.05 to 2050.08 sq. km due to reclamation of ravines. Ravine area in the district has decreased by about 22% during the above-mentioned period, indicating that the land reclamation measures taken by the people and the concerned government department have been effective in combating land degradation. The area under dense forest has decreased from 235.47 to 143.47 sq. km due to deforestation and forest degradation.

Keywords


Change Detection, Deforestation, Land Use, Land Cover, Ravines, Satellite Data.

References





DOI: https://doi.org/10.18520/cs%2Fv121%2Fi12%2F1584-1593