Subcategories Multiple Uses of Land Recognized by Land Use and Land Cover Classification System Using LISS-III and NRSC Enumerat
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Asian Journal of Atmospheric Environment, Vol. 14, No. 4, 394-412, 2020 Open Access Vol. 14, No. 4, pp. 394-412, December 2020 doi: https://doi.org/10.5572/ajae.2020.14.4.394 ISSN (Online) 2287-1160, ISSN (Print) 1976-6912 Technical Information Subcategories Multiple Uses of Land Recognized by Land Use and Land Cover Classification System Using LISS-III and NRSC Enumerate Data: Case Study at Medchal Mandal, Hyderabad, India D. Naresh Kumar*, T. Madhu1) ABSTRACT Recognition of compound land possessions in Mandal level often produc- Department of Civil Engineering, St. es complex in precisely classifying land use and land cover (LULC) characteristics. A reno- Martin’s Engineering College, vated village, as an Infrastructure development ought to adequate information on sever- Secunderabad-500 100, Telangana, India al aspects of its performance in direct to compose verdict. LULC is merely a solitary such 1)Department of Geology, Sri aspect, to increase significance to conquer problems of declining environmental quality, Venkateswara University, farmlands, degradation of wetlands, the slaughter of wildlife territory, and water bodies. Tirupati-517502, Andhra Pradesh, India LISS-III (Linear Integrated self-scanning) images and NRSC (National Remote Sensing *Corresponding author. Centre) catalog improve LULC classification accuracy at the Mandal level. The results of Tel: +91-9133366279 this investigation reveal that five categories are occupied a large area, followed by build- E-mail: [email protected] up land, cropland, forest, industries, and water bodies, (13%, 26%, 9%, 10%, and 13%). Received: 6 June 2020 The highest contribution is cropland and the lowest contribution is forest land. The Revised: 15 June 2020 unobstructedly available a large amount of satellite data conceding for monitoring of Accepted: 20 August 2020 existing land features on a large scale. Cluster-I division contains more dominated LULC categorised villages such as Ravalkole, Gundlapochampally, Medchal, and Sreerangavam villages. LULC classification data applied for investigation of environmental sustainability and problems. This research has been recommended and support for implement rainwa- ter harvesting structures for recharge of groundwater or collection of water in this Med- chal Mandal and develop mobile education, higher education institutes, and small-scale industries in villages. KEY WORDS Land use and Land cover classification, Medchal Mandal, LISS-III image, NRSC LULC catalogue 1. INTRODUCTION As per population records, India is the second country in the world (1.32 billion). Telangana State stands at the 12th place for the population in India. Year by year the urban population increases because more people prefer to live in urban cities like Hyderabad. The development scenario in the fields of industrialization, infrastruc- ture, transportation, accommodation, with high-income sources is only in such of these cosmopolitan cities (Zhang and Ro, 2017). The rapid and incessant growth of migrants in urban slum areas of large cities is creating continuous pressure on urban Copyright © 2020 by Asian Association for Atmospheric Environment www.asianjae.org This is an open-access article distributed under the terms of the Creative Commons Attribution Non-Commercial License (http://creativecommons. org/licenses/by-nc/4.0/), which permits unrestricted non-commercial use, distribution, and reproduction in any medium, provided the original work is properly cited. Medchal, Mandal Land use/Land Cover Classification cities. It insists on major changes in ecosystems from 2008; Taubenbock, 2008). Town planning engineers purities to impurities. Modifications of land features/ have to prepare and design a town-planning map for subtypes have accelerated after the industrial revolution, future generations but a sudden increase in the urban driven to obtain more resources to supply to a continu- population creates a lot of discrimination in vision and ously growing population (Cihlar, 2000; Rosenfield and planning (Jaiswal et al., 2003). Advanced survey tech- Fitzpatrick-Lins, 1986). niques of remote sensing will have to analyze census data The land is referred in a holistic way as upper layer of and segregate the people as per vision (Oleksandr and the earth’s crust combined with the troposphere (plants, Matthias, 2013; Weng and Lu, 2007). human), minerals, hydrology (lakes, rivers, ocean) and The land which is outside the forest boundary and not sediments (Anuraga et al., 2006; De Leeuw et al., 2006; utilized for cultivation is the land with or without shrubs Foody, 2002). The human settlement pattern and physi- is usually associated with shallow, stony, rocky other cal features are the results of past and present human non-bearable lands (Chi et al., 2008). There are different activity, terracing, water storage or drainage structures, techniques of classification used for detection of LULC. roads, buildings, etc. (Abdulhakim, 2019). The methods are image comparison, classified images, Land use defines the manual activities and settlement raster classification, and system for automated geo-scien- on the earth’s surface. It is managed and changed the tific analyses (SAGA) classification (Green et al., 1994). environmental aspects. Land cover explains about vege- tation, rocks, soils, surface water bodies. Land use is con- cluded based on the land cover only, land cover and land 1. 1 Land Use/Land Cover Classification System use both are similar but they are indistinguishable (Her- Remote sensing obtained data mostly preserved in mosilla et al., 2018; Di Gregorio and Jansen, 2004). Agri- 1 : 250,000 now it will be extended up to 1 : 25,000. cultural and animal flourishing put pressure on land There have been a lot of changes for implication during increased by human demand. Vigorous action on the interpretation, to determine all features on the surface available land accordingly and continuous monitoring of and distinguishing them in a proper manner is necessary land resources is necessary to know not just land features, (Weiss et al., 2020). For advanced survey techniques, in but also the optimal study of land subtypes increases the year of 2006 National Remote Sensing Agency based on growing human population (Yeh and Li, 1998). released a standard LULC mapping manual for supervis- A GIS (Geographic Information System) is a discipline ing of the country’s natural resources (Ganasri and that helps to identify topographical features and is useful Dwarakish, 2015). in many applications such as land use/land cover classifi- Earlier efforts to map the theme on 1 : 50,000 scale fol- cation (LULC), determination of plantation in the forest lowed certain standards which required modifications in area, marine features, urban planning, drainage network the current day’s context (Manual for geomorphological and transportation, etc. (Butusov, 2003; Houghton et al., and lineament mapping, 2010). To this extent, an exhaus- 1999; Vitousek et al., 1997; Meyer and Turner, 1992). tive topographical LULC classification was evolved to Land use data analysis, preparation of thematic maps facilitate an in-depth assessment of all categories (Nara- on different aspects such as road networks, agricultural, simha Rao et al., 2010; El-Raey et al., 2000). Categoriza- plantation and build-up land, will help to understand, tion of geographical features assists to understand the problems to resolve environmental prospects of present present scenario of the land feature, which is compared and past. People migrate from rural to urban regions. to old data or make a vision for proper development of Usually population, economy, basic amenities and urbanization (Miao et al., 2017; Abdalla and Abdulaziz, resources increase in an urban region. Thematic map of 2012). The classification should be authorized scientifi- build-up land explains urban sprawl development and cally through data applicable for all-regions and it should direction (Hasse and Lathrop, 2003; Epstein et al., 2002; be monitored every year only after which desirable results Torrens and Alberti, 2000). Cities have good infrastruc- come out (National Remote Sensing Agency, 2006). ture, industries, parks, theatres, etc., with good facilities Satellite images of IRS_P6 linear imaging self-scan- that attracted more people from the last decade, most of ning sensor LISS-III data is geometrically corrected the rural people were transported and settled in cities within the framework of the National Natural Resources and accumulated a place (Zhao et al., 2019; Jat et al., Management System (NNRMS). Specified standards are www.asianjae.org 395 Asian Journal of Atmospheric Environment, Vol. 14, No. 4, 394-412, 2020 Fig. 1. Transport network and Settlement Locations of Medchal Mandal, Medchal-Malkajgiri District, Telangana State. the primary inputs for classification and mapping. In Row 61) imagery and Survey of India Toposheets (56 agricultural fields, crop monitoring plays a major role. K/6 and 56 K/10 on 1 : 50,000 scale) are used for visual Multi-temporal and spectral data gathered in all three interpretation and ASTER DEM maps used to deter- seasons such as Kharif (June-October), Rabi (Decem- mine the drainage network, waterbodies, land elevation ber/January-February/March) and Zaid (April-May) and geology of the area. NRSA standard LULC classifi- are preserved into satellite imageries. This data has a cation is used for the preparation of LULC map. good resource for calculation of crop area, growing or Preparation of LULC thematic