• Dipak Bej Ph.D. Scholar, SOS in Geography, Pt. Ravishankar Shukla University, Raipur
  • Dr. N K Baghmar Retd. Professor, SOS in Geography ,Pt. Ravishankar Shukla University, Raipur




LULC, Digital change detection NRSC, Remote Sensing, Sentinal

Abstract [English]

Land is the only valuable resource of the earth which separate the earth other planet. Land is the base of life, the changing pattern of uses of land has been seen over time from the Stone Age to modern time. On that way the present study area of Maniyari basin has also been noticed remarkable changes. Digital change detection methods used to identifying changes related with land use and land cover features using multi temporal remote sensing data. The objectives of the paper analyse the changes of land uses over time as well as the factor which is responsible for the transformation of the land. LANDSAT ETM+ for the time frame of 2010 and Sentinal 2 data for the time frame of 2020 has been used for this present study. Total area of the study region approximately 3700 sq. km. LULC Mapping has consisted of basically four steps: Data acquisition, Data processing, interpretation/classification, post verification through ground truth. NRSC LULC Classification schema 2019 has been used for Land use Land cover mapping. Agriculture Cropland. LULC classes which has been identified in this present study are Barren Rocky, Built up, Rural Built up, Urban, Canal, Dense scrub, Forest, Forest Plantation, Gullied/Ravines, Industrial/Mining, Lake/Pond, Open Scrub, Reservoir/Tank, River/Stream, Water logged. It has been found that 145 ha. Open scrub and 98 ha forest land converted in to agricultural land.70 ha. of outer reservoir land converted in to agricultural land. Significant changes in the outer forest ecosystem have occurred in the study region, and it must be reconstructed for tribal community who were relying heavily on natural resources.


Download data is not yet available.


Ashraf, M. Kahlown, M. A. Ashfaq, A. (2007). Impact of small dams on agriculture and roundwater development: a case study from Pakistan. Agric. Water Manage. 92, 90-98. https://doi.org/10.1016/j.agwat.2007.05.007 DOI: https://doi.org/10.1016/j.agwat.2007.05.007

Ashraf, A. (2013). Changing Hydrology of the Himalayan Watershed. Current Perspectives in Contaminant Hydrology and Water Resources Sustainability. Intech, Islamabad. https://doi.org/10.5772/54492 DOI: https://doi.org/10.5772/54492

Ahmad, F. (2012). Detection of change in vegetation covers using multi-spectral and multi-temporal information for District Sargodha, Pakistan. Sociedade Natureza, 24, 557-572. https://doi.org/10.1590/S1982-45132012000300014 DOI: https://doi.org/10.1590/S1982-45132012000300014

Butt, A. Ahmad, S.S. and Aziz, N. (2015). Land use change mapping and analysis using Remote Sensing and GIS: A case study of Simly watershed, Islamabad, Pakistan, The Egyptian Journal of Remote Sensing and Space Science, 1-10. https://doi.org/10.1016/j.ejrs.2015.07.003 DOI: https://doi.org/10.1016/j.ejrs.2015.07.003

Caruso, G. Rounsevell, M. D. A. Cojacarus, G. (2005). Exploring a spatiodynamic neighborhood-based model of residential behaviour in the Brussels peri-urban area. Int. J. Geograph. Inf. Sci. 19, 103- 123. https://doi.org/10.1080/13658810410001713371 DOI: https://doi.org/10.1080/13658810410001713371

Dietzel, C. Herold, M. Hemphill, J. J. Clarke, K.C. (2005). Spatialtemporal dynamics in California's central Valley: empirical links to urban theory. Int. J. Geograph. Inf. Sci. 19, 175-195. https://doi.org/10.1080/13658810410001713407 DOI: https://doi.org/10.1080/13658810410001713407

Fortin, M. J. Boots, B. Csillag, F. Remmel, T. K. (2003). On the role of spatial stochastic models in understanding landscape indices in ecology. Oikos 102, 203-212. https://doi.org/10.1034/j.1600-0706.2003.12447.x DOI: https://doi.org/10.1034/j.1600-0706.2003.12447.x

Gajbhiye, S. Sharma, S. K. (2012). Land use and land cover change detection of Indra river watershed through remote sensing using multi-temporal satellite data. Int. J. Geomatics Geosci. 3, 89-96. https://www.researchgate.net/publication/305391857_Land_use_land_cover_change_detection_of_Indra_river_watershed_through_Remote_Sensing_using_Multi-Temporal_satellite_data

Ozesmi, S. L. Bauer, M. E. (2002). Satellite remote sensing of wetlands. Wetlands Ecol. Manage, 10, 381-402. https://doi.org/10.1023/A:1020908432489 DOI: https://doi.org/10.1023/A:1020908432489

Khan, R. and Jhariya, D. C. (2016). Land Use Land Cover Change Detection Using Remote Sensing and Geographic Information System in Raipur Municipal Corporation Area, Chhattisgarh, International Journal of Geo Science and Geo Informatics, 3(1), 1-04. https://www.researchgate.net/publication/306324178_Land_Use_Land_Cover_Change_Detection_Using_Remote_Sensing_and_Geographic_Information_System_in_Raipur_Municipal_Corporation_Area_Chhattisgarh

Roy, P. S. and Roy, A. (2010). Land use and land cover change in India: A remote sensing & GIS perspective, Journal of the Indian Institute of Science, 9(4), 489- 502. https://www.researchgate.net/publication/235987981_Land_Use_and_Land_Cover_Change_A_Remote_Sensing_GIS_Perspective

Skole, D. and Tucker, C. (1993). Tropical deforestation and habitat fragmentation in the amazon: a Satellite data from 1978 to 1998, Science, 260, 1905-1910. https://doi.org/10.1126/science.260.5116.1905 DOI: https://doi.org/10.1126/science.260.5116.1905

Stewart, T. J. Janssen, R. van Herwijnen, M. (2004). A genetic algorithm approach to multiobjective land use planning. Comput. Oper. Res. 31, 2293-2313. https://doi.org/10.1016/S0305-0548(03)00188-6 DOI: https://doi.org/10.1016/S0305-0548(03)00188-6

NRSC, (2019). Natural Resource Census Land Use / Land Cover Analysis- Third Cycle, Hyderabad. https://bhuvan-app1.nrsc.gov.in/2dresources/thematic/LULC503/lulc.pdf




How to Cite

Bej, D., & Baghmar, N. K. (2022). A SPATIO-TEMPORAL STUDY OF LAND USE LAND COVER ANALYSIS IN MANIYARI BASIN USING GIS AND REMOTE SENSING TECHNIQUES. International Journal of Research -GRANTHAALAYAH, 10(6), 1–9. https://doi.org/10.29121/granthaalayah.v10.i6.2022.4635