CMR Journal of Engineering and Technology Vol.1 Issue.1 January 2016

Transcription

1 LAND USE AND LAND COVER ASSESSMENT ALONG MEDAK DISTRICT, TELANGANA STATE USING GIS M. Venkateshwarlu Department of Civil Engineering CMR College of Engineering and Technology Kandlakoya, Medchal Road, Hyderabad ABSTRACT Land use/land cover mapping serve as a basic inventory of land resources throughout the world. Whether regional or local in scope, remote sensing offers a means of acquiring and presenting land cover data in timely manner. Land use/land cover pattern of Medak District and its surroundings were studied using IRS IC LISS III data. The land use/land cover patterns were visually interpreted and digitized using ERDAS IMAGINE software. The study observed that agriculture area (36..5%) is dominant in Medak, District and its surroundings followed by Land with/without scrub 1.62%. The study recommends the use of satellite imageries for future environmental monitoring studies.. The emergence of Remote Sensing and Geographic Information System as a powerful tool for spatial analysis and storage has in effect alleviated the problem by computerization of the spatial data. It has been developed in order to generate maps, which would provide relevant information for developmental activities and also act as source information authentication about the village. The details of the above work are discussed in the paper. Keywords: Land use, Land cover, Satellite, GIS, Agriculture. 1. INTRODUCTION The knowledge of land use/land cover change is very important to understand the natural resources, their utilization, conservation and management [1]. Land use is obviously constrained by environmental factors such as soil characteristics, climate, topography and vegetations. But, it also reflects the land as a key and finite resource for most human activities including agriculture, industry, forestry, energy, production, settlement, recreation and water catchments and storage. The main emphasis of agricultural development all over the world was on increasing productivity per unit area of land used for production to feed the ever increasing population [2]. It has been tightly coupled with economic growth. Improper management of land use is causing various forms of environmental degradation. Identifying delineating and mapping land cover are important for global monitoring studies with the component of resource management and planning activities. Identification of land cover establishes the base line from which monitoring activities can be performed and provides the ground cover information for base line thematic maps. Land use refers the purpose of the land serves, for example, recreation, wild life habitat, agriculture [3]. Land use applications involve both baseline mapping and subsequent monitoring. Since, the timely information is required to know the current quantity of land which is in use and 1

2 to identify the land changes from year to year [4]. The remote sensing techniques are used to measure the land cover, from which land use can be inferred particularly with ancillary data or priority knowledge [5]. Land use/cover studies are multidisciplinary in nature and thus the participants involved in such work are numerous and varied, ranging from international wild life and conservation foundation to government. Detection of long ten changes in land cover may terrestrial global monitoring [6]. In order improve the economic condition of area without further deteriorating the ecosystem, every bit f available land has to be used in the most rational way. For this type of mapping it requires priest and the past land user/land cover data of the area [7]. In this context, remote sensing technology plays an effective role in the sustainable development and management of our environmental and sources [8]. The use of GIS for a micro administrative unit for planning and implementation was tested in an Action Research Project in one of the Panchayats in India, where the knowledge base is developed up to cadastral level (land parcel level) and the house hold socio economic data is embedded on this layer on a GIS platform, with all graphic features of house type and house hold linked, to enable stakeholders take decisions in a dynamic mode. Planning requires association and integration of various activities with spatial (geo-referenced) and non-spatial characteristics. Facility planning and management is one such an important area. Geomatics-based approaches to facility planning and management have, of late, gained prominence as they offer rational, efficient and effective solutions. Further, the rapid advances in the hardware and software technologies coupled with a growing competition among the related vendors have brought down the cost of Geomatics /GIS technology by manifold, making it affordable for deployment on a large scale for use in decentralized planning In view of this scenario, an attempt has been made to actually apply the GIS Package, simple, user friendly, customized, local need based, interactive and can be handled by the local youth and Village functionaries. It could be called Panchayat GIS, which has all inbuilt features of various decisions at the village level integrating various layers of information both spatial and attribute pertaining to the village. 2. EXPERIMENTAL ANALYSIS: 1. Integrated resource surveys (Natural resources and Human resources) and mapping at the Village level involving local volunteers, Panchayat officials etc. 2. Surveys relating to basic infrastructure of the village roads, drinking water resources, schools etc. 3. Household information, housing structure, type of material used in house construction, basic amenities like electricity, water, telephone etc. 4. Photographs of the house and its members. 5. Household wise collection of data relating to house tax, water tax etc. 6. The resource surveys using cadastral map in the scale of 1: Plot wise information was collected. 2

3 3. Methodology: The following methodology and Procedure is Adopted in the Present study Area: 1. Collection of satellite data and Survey of India Topographical maps, collection of rainfall 2. and temperature data and other collateral data covering the study area. 3. Preparation of base map on 1:50000 scale using Survey of India Topographical Maps. 4. Preparation of Settlement and Transport network map using SOI 1: 50,000 topographical 5. maps. 6. Preparation of Drainage and watershed using SOI topographical maps and updating with the satellite data (Using ArcGIS 9.3 software). 7. Preparation of contour map of 5metres contour interval using SOI 1: 50,000 topographical maps. 8. Preparation of DEM (Digital Elevation Model) from contour map (Using 3D Analyst Module of ArcGIS 9.0 software). 9. Preparation of slope map using contours from SOI top sheet 1:50,000 scale. 10. Preliminary pre-field interpretation of Hydro geomorphology, soils and land use and land cover maps using Satellite data on 1: 50,000 Scale. 11. Ground truth data collection, verification of doubtful areas. 12. Correction, modification and transfer of post field details of Hydro geomorphology, soils and Land use / Land cover on to original maps. For the present study IRS LISS IV MX data was procured from NRSA. This data was used in the preparing of thematic layers like Land Use Land Cover map, Hydro geomorphology Maps, Ground Water Potential Maps, Soil Map. The information related to the contours and drainage was generated from the survey of India Top sheets on 1:50,000 Scale. 4. SPATIAL DATABASE DESIGN 4.1 Study area: The study area consists of entire village. 4.2 Coordinate system: The coordinate system for the study area needs to represent the geographic features in true shape and size. Since the capture of the spatial features is based on Survey of India (SOI) top sheets (Scale-1: 50,000), UTM projection system has been followed for the coordinate system as adopted by SOI. For convenience, the same coordination system is used for Registration points also, thereby allowing proper integration of data sets. Cadastral maps were integrated with the spatial coordinates of the Village. 4.3 Registration of ground control points: 3

4 Revenue maps (Scale-1: 8,000), SOI top sheets and Block road maps (Scale-1: 50,000) formed the source maps for the spatial data. Since non-overlapping covers the study area multiple maps of varying types and scales, it became necessary to adopt a standard procedure for registration of Ground Control Points (GCP s). This is a shared method of points where each TIC is a part of more than one map sheet to facilitate the map joining/ mosaicing and sheet-by-sheet data digitization. 4.4 Base Map: Base map is prepared from Survey of India top sheets on 1:50,000 scale comprising drainage system, settlements, village administrative boundaries and road network within the watershed. 4.5 Drainage Map: The base map comprising of drainage network has been prepared using Survey of India topographical maps on 1: 50,000 scale. The study area is having streams, which are sparsely located over the region and has one river (Gandharivagu, peddavagu).these streams are further classified based on stream ordering. 4.6 Conversion of contour data to vector form from raster data: Firstly, Survey of India top sheets on 1:50000 should be scanned using Ao size flat bed scanner and converted to Tiff raster format. These maps should be projected to real world coordinate system. Contours (poly lines of equal elevation) are to be digitized using Arc Info GIS software. After digitization editing should be done to remove pseudo nodes, overshoots and undershoots. Arc topology has been created by Clean command. The coverage has to be projected toutm projection after establishing tics to generate TIN which is an essential parameter in surface modeling. 4.7 Land use /land Cover: Comprehensive information on spatial distribution pattern of land use /land cover and their dynamics is a necessary pre requisite for planning and management of land resources of any region. The studies on land use /land cover are assuming importance in diverse resource sectors like agriculture planning, environmental studies, settlement and cadastral surveys etc. Further precise knowledge of land use /land cover pattern enable understanding the land utilization aspects with emphasis on cropping pattern in the agriculture lands, forest and grazing lands, and waste lands. A holistic picture of these aspects when viewed in combination with other land resources will enable us to suggest alternate /optimal land use for a given parcel of land. 4.8 Data base methodology: Survey of India topographical maps on 1:50,000 Scale were used for extracting collateral information, field checking for doubtful areas and for base map preparation. A systematic visual interpretation was adopted involving initial delineation of land use /land cover categories based on image elements namely, color, texture, pattern, shape, size, shadow, location, association etc. 4

5 The units so delineated were verified in the field before finalizing the map.the thematic details were transferred on to the base nap on 1:50000 Scale prepared using survey of India topographical maps. The classification scheme suggested by national remote Sensing Agency (NRSA) has been adopted in the present study area and the class discussions are in the results. 4.9 Hydro geomorphology: It is basically a systematic procedure evolved to prepare a ground water prospects map using satellite data and GIS techniques in conjunction with limited field work. The total Methodology is divided into two parts. 1) Deals with delineation of hydro geomorphic unit considering parameters influencing the hydro geological properties, it consists of a) Creation of individual thematic layers on litho logy, geomorphology. b) Structures, hydrology. c) Along with base map details based on the visual interpretation of satellite data in conjunction with limited fields /existing data d) Derivation of hydro geomorphic unit by integrating the thematic data. 2) The evaluation of hydro geomorphic unit based on hydro geological characteristics of controlling parameters, it consists of a) Estimation of ground water prospects by taking into account the well observatory data. b) Identification of suitable locations for constructing recharge structures along with prioritization of the units. 5. RESULT & DISCUSSION: Land cover mapping serves as a basic inventory of land resource. For all levels of government environmental agencies and private industry throughout the world [9]. Land use planning in rural areas has received scant attention in comparison with town planning until recently. This can hardly be justified in a country like India, which is predominantly agricultural. The planning of agricultural sector in rural areas has been carried out in laissez faire manner. Very few deliberate and cautious attempts were made to improve the countryside. The development of land use planning is not recent in its origin but its practice is truly recent. A land use map gives thorough and clear picture of land to the planners for the determination of future use and planning the agricultural sector to maintain the land potentials. In this way, land use planning is concerned with the future use of the land and the changing demands of the society. The advent of computer and their ever-increasing power of handling large data sets and computations have provided us with tools to analyze data and obtain results within lesser time than was required earlier. The availability of satellite data for large areas to assess the natural resources and reconnaissance surveys within a short period of time has forced us to use the information for planning and 5

6 development. The GIS as a tool to spatially correlate information and look at it in a new perspective has helped the decision makers to take appropriate decision at right time. An important task of Village GIS is to facilitate the link between non-spatial point information and the spatial information. The non-spatial information like census, socioeconomics, agricultural input dealers, etc would be available in tabular form and has to be retrieved from the relational database management system (RDBMS). On the other hand, the spatial information is in the form of maps, referenced to the geographic latitudes-longitudes. The non-spatial tabular information is linked to the spatial information through a customized GIS approach. This queryshell facilitates data handling. The strength of GIS is the integration of multi-layered data from different sources and various scales. The integration of different layers of information has been a difficult task manually until the maps were drawn on a transparent film. With the availability of GIS, which takes the data into digital space, the ability to see through maps, which are overlaid one over the other digitally and analyze the maps is achieved. Database management systems integrated with graphic interface have a powerful query capability. This will finally give the analytical ability to pose complex query and extract information spatially. Remote sensing data is the final solution for large area coverage and temporal coverage of land area. It is an important source of input to GIS. Different layers of information generated from remotely sensed data provide an authentic input when used in a GIS. The analysis carried out in the present study uses primarily information generated from remotely sensed data [10]. Layers were generated for land use, soil, ground water potential, slope, along with base map. The present study brings out the different classes of land use/land cover identified on the basis of satellite imagery and validated by ground checks. While identifying the areas under different land use classes, the ecological principles of land use have been considered as the guiding criteria. Nature of terrain, availability of moisture and vegetative characteristics of the area has been chosen as prime factor. The land use classes thus interpreted would help in identification of the lead sectors and formulation of development strategy. It is a non-agricultural entity developed for human habitation comprising residential and transportation network [11]. The total areal extent of built-up land is about 8.36sq.km, which is 2.12% of the total study area :Agricultural land use is dependent on land system and land units. It shows wide variations in the land units. It shows wide variations in the land use patterns in different part of the area. The agricultural land classes delineated in, crop and fallow land which constitute an area of about 143.5sq km, i.e. about 36.5% of total geographical area. Cropland left un-cropped during both the kharif and rabi season fall under this class. The total estimated fallow land area is 42.1sq.km, which constitute 10.7% of total study area [12]. Wastelands are described as, degraded lands which can be brought under vegetative cover with reasonable effort and which are currently under utilized and lands which are deteriorating due to lack of appropriate water and soil management or on account of natural causes. Wastelands can result from inherent/imposed disabilities, such as locations, environment, chemical and physical properties of the soil or financial or management constraints. The total estimated wasteland area is 92.2sq.km, which constitute 23.4% of total study area. They occupy relatively higher topography like uplands or high grounds. These lands are generally prone to degradation or erosion. Remote sensing data in conjunction with sufficient ground information provide the wise use and supply of drinking 6

7 water to deprived villages [13]. The total land with / without scrub area is 6.38sq.km, which constitute 1.62% of the total geographical area. There are no prominent surface water bodies in our study area. The area has high productivity potential, which can be achieved through optimum land use planning [14]. This forms the purpose in achieving India s planning goals of national self-reliance in food production, improved economic efficiency, equity and social justice. Unwise use of land leads to the degradation of the natural resource base. The total estimated water body area is 18.82sq.km, which constitute 4.78% of total study area. Table 1.Areal Extent of Various Land use/land cover Mapping Unit Land use/land cover category Area in Sq.Km % Area 1 Built-up land Agriculture Land Fallow Land Waste Land Land with / without scrub Water bodies Forest Total: Table 2.Areal extents of Land Capability S.No Land use/land cover category Land capability % Area in sq.km Area in % 1 Crop Land II Fallow Land III Scrub IV Forest VI

8 Table 3.Areal extents of Land Irrigability S. No Land use/land Land % Area in Area in cover category Irrigability sq.km % 1 Crop Land II Fallow Land III Scrub IV Forest V Fig 1.Contour map of Medak T.S. Fig 2..Base map of Medak,T.S Fig.5 Drainage map of Medak district T.S 8

9 Fig.8.Land Use Land Cover of Medak, T.S Fig.9.Hydrogeomorphology of Medak, T.S Fig.11.Digital Elevation Model of Medak CONCLUSION: The GIS being a sandwich or fusion technology is evolving as a very powerful computerized information system, where any domain knowledge past, present or future probability options can be integrated, giving rise to generation of new knowledge base. With the high resolution satellite images available at affordable cost and almost on real time mode and GPS facilitating referencing, the world has become a child s playground, a canvas on which new thinking of human ingenuity can be wrapped. Further the revolution in computer science has made GIS happening at palm, mobile, and anywhere anytime concept, most accurate, reliable, meaningful, and most potential for decision making. The present study is an attempt to take this frontier technology to the lowest level where local people involve in it and participate in the decision making process by using GIS.In India, the true local governance should emanate at village level and that the Gram Panchayat has a Constitutional recognition as a lowest centre of decision making i.e. empowerment, the GIS developed addresses the usability and facilitation function in local self governance through GIS happening at the Gram Panchayat Level. Now that the Village Knowledge Centers are coming up in and every village in the country and aim to link all villages by 2007, the Village GIS is the precursor to this great step, which when reinforced can make real and vibrant local self governance really functioning and happening. The user friendly interactive GIS for a micro administrative unit have helped in ensuring better participation of the stakeholders in decision making. The variation in the level of education of the community was bridged by pictorial representation of data. The project helped in empowerment of the community and generated land literacy. REFERENCE 1. Nagamani, K. and S. Ramachandran, Land use Land Cover in Pondicheny using Remote Sensing and GIS. In the Proceedings of the Third International Conference on Environment and Health held Chennai, India, pp:

10 2. Bhat, NK, M.K. Suleiman and M. Abdal, Selection of Crops for Sustainable Utilization of Land and Water Resources in Kuwait. World Jourual of Agricultural Sciences, 5(2): Ram, B. and A.S. Kolarkar, Remote sensing application in monitoring land use changes in mid Rajasthan. International Journal of Remote Sensing, 14(17): Kumaraswamy, K. and R. Narayanakumar, Thrust areas of research and applications of remote sensing. In National Workshop on remote sensing for Environmental Studies, Bhararhidhasan University, Tamilnadu, pp: Nagamani, K. and S. Ramachandran, Land use Land Cover in Pondicheny using Remote Sensing and GIS. In the Proceedings of the Third International Conference on Environment and Health held Chennai, India, pp: Navalgund, RK, V. Jayaraman and P.S. Roy, Remote sensing application: An overview. Current Science, 93(12): Chaurasia, R., D.C. Closhali., P.K. Minakshi Shanna., M. Kudrar and A.K. Tiwari, Land use change analysis for agricultural management- a case study of Tehsil Talwandi Sabo, Punjab. Journal of Indian Society of Remote Sensing, 24(2): Kasturirangan, K.R., B.L. Aravamudan, Deekshatulu, George Joseph and M.G. Cbandrasekhar, Indian remote sensing satellite (IRS)-1 C, the beginning of new era. Current Science, 70(7): Vijith. H. and R. Satheesh, Evaluation of Land use Pattern and Geomorphology of Parts of Westem Ghats using IRS P6 LISS III Data. IE (I) Joumal-AG, 88: Ram, B. and A.S. Kolarkar, Remote sensing application in monitoring land use changes in mid Rajasthan. International Journal of Remote Sensing, 14(17): Navalgund, RK, V. Jayaraman and P.S. Roy, Remote sensing application: An Overview. Current Science, 93(12): Navalgund, RK, V. Jayaraman and P.S. Roy, Remote sensing application: An Overview. Current Science, 93(12): Navalgund, RK, V. Jayaraman and P.S. Roy, Remote sensing application: An Overview. Current Science, 93(12): Vijith. H. and R. Satheesh, Evaluation of Land use Pattern and Geomorphology of Parts of Westem Ghats using IRS P6 LISS III Data. IE (I) Joumal-AG, 88: Jayakumar, S. and D.L Arockiasamy, Land use/land Cover Mapping and Change Detection in Part of Eastern Ghats of Tamilnadu using Remote Sensing and GIS. Jourual of the Indian Society of Remote Sensing, 31(4): Kachhwala, T.S., Temporal monitoring of forest land for change detection and forest cover mapping through satellite remote sensing. In the Proceedings of the 6th Asian Conference on Remote sensing, Hyderabad, pp: Madan, K., M. Usha Natesan and S. Rajeudran, A study on the dynamic changes of land use/land cover for Muthupet wetland using remote sensing and geographical infonnation system. Groundwater Journal, 14(3):