Influence of Shirur dam on land use/land cover pattern in Markandeya river basin, Karnataka
A land cover change study constitutes an important aspect of temporal change which is an efficient way of analyzing the change over a large scale. The present study examined the land cover changes that have occurred in the Markandeya river basin between 1996 and 2016. Supervised classification technique was followed by using the Maximum Likelihood Classification algorithm for this purpose. In total, eight land use classes were identified in this basin, using a Level II Classification scheme. The LULC changes using the multitemporal Landsat dataset from 1996 to 2016 (i.e. Landsat TM 5 for 1996, Landsat-7 ETM for 2000, Landsat-7 ETM for 2007 and 2011, and Landsat-8 OLI for 2016) were generated and mapped to calculate the change in areas of different land use categories. LULC change analysis was aimed to assess the impact of new water bodies on LULC pattern of the basin. Significant changes in the LULC pattern with respect to the emergence of new water bodies, especially the Shirur dam was observed. The most dominating feature in the basin was open scrubland followed by cropland. However, it was observed that both cropland and built-up areas were increased in the basin due course of time. The observed trend is also suggestive of the condition that the land use undergoes an intermediate transition to a fallow land phase, before finally transforming into either agriculture or built-up land. Though the construction of Shirur dam resulted into submergence of agriculture land and dislocation of villages initially, it was observed that agricultural land and built-up land were increased around the dam
Butt, A., Shabbir, R., Ahmad, S. S., & 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 Sciences, 18(2), 251–259. https://doi.org/10.1016/j.ejrs.2015.07.003
Congalton, R. G. (1991). A Review of Assessing the Accuracy of Classifications of Remotely Sensed Data, 46(April), 35–46
George, J., Baby, L., Arickal, A. P., Vattoly, J. D., Use, L., & Cover, L. (2016). Land Use / Land Cover Mapping With Change Detection Analysis of Aluva Taluk Using Remote Sensing and GIS, 4(2), 383–389
Guler M., Yomralioglu T., Reis S. (2006). Using landsat data to determine land use / land cover changes in Samsun , Turkey, 155–167. https://doi.org/10.1007/s10661-006-9270-1
Kinthada NR, Gurram MK, Eadara A, Velagala VR (2014). Land Use/ Land Cover and NDVI Analysis for Monitoring the Health of Micro-watersheds of Sarada River Basin, Visakhapatnam District, India. J Geol Geosci 3: 146. https://doi.org/10.4172/2329-6755.1000146
Lu, D., Moran, E., & Hetrick, S. (2012). NIH Public Access, (812), 1–22. https://doi.org/10.1016/j.isprsjprs.2010.10.010.Detection
Manuscript, A. (2014). NIH Public Access, 78(7), 747–755.
Moran, E. F. (2011). NIH Public Access, 1–19.
Mohammed-Aslam M. A., R. T. Rokhmatuloh, Z. E. Salem and Ts. Javzandulam (2006), Linear Mixture Model Applied to the Land-Cover Classification in an Alluvial Plain Using Landsat TM Data. doi:10.3808/jei.200600071.
Mihai, B. (2016). Mapping Land Cover Using Remote Sensing Data and GIS Techniques : A Case Study of Prahova Subcarpathians. Procedia Environmental Sciences, 32, 244–255. https://doi.org/10.1016/j.proenv.2016.03.029
Minaei, M., & Kainz, W. (2016). Watershed Land Cover / Land Use Mapping Using Remote Sensing and Data Mining in. https://doi.org/10.3390/ijgi5050057
Rawat, J. S. (2015). Monitoring land use / cover change using remote sensing and GIS techniques : A case study of Hawalbagh block , district Almora , Uttarakhand , India. The Egyptian Journal of Remote Sensing and Space Sciences, 18(1), 77–84. https://doi.org/10.1016/j.ejrs.2015.02.002
Rizk, I., & Rashed, M. (2015). Monitoring urban growth and land use change detection with GIS and remote sensing techniques in Daqahlia governorate Egypt. International Journal of Sustainable Built Environment, 4(1), 117–124. https://doi.org/10.1016/j.ijsbe.2015.02.005
Sinha, P., Kumar, L., Reid, N., Management, E., & Science, R. (n.d.). Seasonal Land Use / Land Cover Mapping : Accuracy Comparison Of Various Band Combinations, (Icl), 3–6.
Soffianian, A., & Madanian, M. (2015). Monitoring land cover changes in Isfahan Province , Iran using Landsat satellite data. https://doi.org/10.1007/s10661-015-4442-5
Muttitanon W. and N. K. Tripathi Corresponding author (2005) Land use/land cover changes in the coastal zone of the Ban Don Bay, Thailand uses Landsat 5 TM data, International Journal of Remote Sensing, 26:11, 2311-2323. https://doi.org/10.1080/0143116051233132666
Wal, P., Souza, E. B. De, Silva, R. O., Guimar, T. F., & Agnol, R. D. (2016). Four decades of land-cover , land-use and hydroclimatology changes in the Itacaiúnas River watershed , southeastern Amazon, 167, 175–184. https://doi.org/10.1016/j.jenvman.2015.11.039
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