C. Venkata SUDHAKAR, G.Umamaheswara REDDY

Land use Land cover change Assessment at Cement Industrial area using Landsat data-hybrid classification in part of YSR Kadapa District, Andhra Pradesh, India

India is the world's second-largest cement manufacturer. It is a significant contributor to the Indian economy's GDP. Kadapa district is one of Andhra Pradesh's largest cement producers. Limestone and cement plant sediment and mine have local, regional, and global impacts on soil, vegetation, and water and air quality. As a result, mapping and change evaluation of the mining area are critical for the sustainability of the cement industry. With today's advancements in remote sensing technology, mapping the Earth's characteristics, observing environmental changes, and controlling natural resources become more efficient with less human efforts than conventional methods. Proposed work focused on land environment temporal change assessment in YSR kadapa district, Andhra Pradesh, India over a period from 1991 to 2019. The results of Landsat-5/7/8 image Hybrid classification using ERDAS IMAGINE and ArcGIS over the study area 684KM2 showing an overall accuracy 92 % and kappa index 0.9 in comparison to conventional methods of classification.

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[1] Haoteng Zhao, Yong Ma, Fu Chen, Jianbo Liu, Liyuan Jiang, Wutao Yao,Jin Yang, “Monitoring Quarry Area with Landsat Long Time- Series for Socioeconomic Study,” Remote Sensing 10, 517, 2018.
[2] Imane Bachri, Mustapha Hakdaoui, Mohammed Raji, Ana Cláudia Teodoro, Abdelmajid, Benbouziane. “Machine Learning Algorithms for Automatic Lithological Mapping Using Remote Sensing Data: A Case Study from Souk Arbaa Sahel, Sidi Ifni Inlier, Western Anti- Atlas, Morocco,” ISPRS Int. J. Geo-Inf.,8,248,2019.
[3] SA. Raval, “Investigation of mine environmental monitoring with satellite based sensors,” Ph.D Thesis., School of Mining Engineering, The University of New South Wales Sydney, Australia. 2011.
[4] [4] Merugu Suresh, Dr. Kamal Jain,“Change Detection and Estimation of Illegal Mining using Satellite Images.” Proceedings of 2nd International Conference on Innovations in Electronics and Communication Engineering (ICIECE-2013), p.246-250, 2013.
[5] Department of Mines and Geology (Andhra Pradesh), “District Survey Report YSR Kadapa District,” Andhra Pradesh Space applications Centre (APSAC) ITE&C Department, Govt. of Andhra Pradesh,139p, 2018. Avilable from: https:// www.mines.ap. gov.in /minin gportal/ downloads/ app lications/kadapa.pdf
[6] A. Chandra Mouli, R.C.Hanumanthu, R.Jagadiswara Rao, “Conflicting Land-Use Practices in the Narji Limestone Belt in YSR District, Andhra Pradesh, India.” Open Access e-Journal Earth Science India- Popular Issue, V (III), p.1-9. 2012.
[7] John R Jensen, “Introductory Digital Image Processing- A Remote Sensing Perspective”. Pearson series in Geographic information science, 2015. ISBN: 978-0-13-405816-0
[8] [8] Perpetual Peprah, “Assessing Land Cover Change Resulting from Surface Mining Development (A Case Study of Prestea and Its Environs in the Western Region of Ghana),” Master of Science Thesis. Kwame Nkrumah University of Science and Technology College of Engineering. 2015.
[9] C. Kamusoko , M. Aniya, “Hybrid classification of Landsat data and GIS for land use/ cover change analysis of the Bindura district, Zimbabwe,” International Journal of Remote Sensing, Taylor & Francis, Vol. 30, No. 1, p. 97–115, 2009.
[10] Lillesand Thomas, W. Kiefer. Ralph, Chipman Jonathan,“Remot sensing and image interpretation”, John Wiley & Sons. 2015.
[11] Nur Hidayati Iswari, R.Suharyadi, Projo Danoedoro, “Developing an Extraction Method of Urban Built-Up Area Based on Remote Sensing Imagery Transformation Index.” Forum Geografi (Indonesian journal of spatial and regional Analysis), vol 32(1), p. 96-108, 2018.
[12] Bona Daniel Sande, Arymurthy Aniati Mumi, Mursanto Petrus, “Classification of Limestone Mining Site using MultiSensor Remote Sensing Data and OBIA Approach A case study: Biak Island, Papua.” International Conference on Advanced Computer Science and Information Systems (ICACSIS 2018-IEEE):417- 422, 2018.
[13] C.Venkata Sudhakar, G.Umamahesrara Reddy, “Land use/Land Cover Change Assessment of YSR Kadapa District, Andhra Pradesh, India using IRS Resourcesat-1/2 Liss III Multi-Temporal Open Source Data,” International Journal of Recent Technology and Engineering (IJRTE), Volume-8 Issue-3, September 2019,
[14] Musa Dalil, Amodu Isaiah Omeiza, Yahaya Abdullahi Abbas Abdul Husaini, “Effect of cement factory on land use- land cover in Obajana Lokoja Local Government Area, Kogi State, Nigeria.” African Journal of Environmental Science and Technology, Vol.11(7),p.384-392,2017 doi: 10.5897/ AJEST2017.2327.
[15] S.L. Borana, S.K.Yadav, S.K.Parihar, V.S. Palria, “Impact Analysis of Sandstone Mines onEnvironment and LU/LC Features Using Remote Sensing and GIS Technique: A Case Study of the Jodhpur City, Rajasthan, India,” Journal of Environmental Research and Development, Vol. 8 No. 3A, P: 796-804, 2014.
[16] J.S. Rawat, B.Vivekananda, K.Manish, “Changes in land use/cover using geospatial techniques: A case study of Ramnagar town area,district Nainital, Uttarakhand, India.” The Egyptian Journal of Remote Sensing and Space Science, Volume 16, Issue1:111- 117, 2013.
[17] Ujoh Fanan, Alhassan Muhammad Mamman, Ujoh Frederick Terkuma, “Multi-temporal change detection at a limestone mining and cement production facility in Central Nigeria,” American Journal of Environmental protection, volume 3(3):113-121,2014.
[18] D. Lu, Q.Weng, “Survey of image classification methods and techniques for improving classification performance,” International Journal of Remote Sensing, vol. 28, no.5:823–870, 2007.
[19] R.E.Lamare, O.P. Singh “limestone mining and its environmental implications in meghalaya, india.” ENVIS bulletin himalayan ecology, vol 24:87-100, 2016.
[20] Ganapathi Harsh, Phukan Mayuri, ‘Environmental Hazards of Limestone Mining and Adaptive Practices for Environment Management Plan,’ Environmental Processes and Management, Water Science and Technology Library 91:121-134, 2020.
[21] Niyomthai Saneh, Wattanawan Annuwat, “Sustainable Mining in Thailand: Paradigm Shift in Environmental Management.” Applied Environmental Research, 36 (1): 55-63, 2014.
[22] R. Vimala, A. Marimuthu, S. Venkateswaran and R. Poongodi, “Unsupervised ISODATA algorithm classification used in the landsat image for predicting the expansion of Salem urban, Tamil Nadu,” Indian Journal of Science and Technology; 13(16):1619– 1629,2020.
[23] Anju Asokan, J Anitha, Ciobanu Monica, Andrei Gabor,Antoanela Naaji and D Jude Hemanth, “Image Processing Techniques for Analysis of Satellite Images for Historical Maps Classification—An Overview,” Applied Science. 10, 4207,1-21, 2020.