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A Case Study of Addanki Mandal, Prakasam District, Andhra Pradesh, India

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A Case Study of Addanki Mandal, Prakasam District, Andhra Pradesh, India Journal of Engineering Research and Studies E-ISSN0976-7916 Research Article MANDAL LEVEL INFORMATION SYSTEM USING ARCGIS – A CASE STUDY OF ADDANKI MANDAL, PRAKASAM DISTRICT, ANDHRA PRADESH, INDIA. V. Hema Sailaja a , K. Santosh Kumar b , M. Anji Reddy c Address for Correspondence a b Lecturer and Research Scholar of Environmental Sciences cProfessor of Environmental Sciences Centre for Environment, Institute of Science and Technology, Jawaharlal Nehru Technological University Hyderabad, Kukatpally, Hyderabad-500085, A.P, India ABSTRACT The effective information system is necessary to make available all kinds of data related to the Mandal, easily and concisely for planning at regional level. It helps in regular updation of database over the years to ensure better availability of Mandal information. The main objective of the study is to develop a Mandal information system providing complete information for decision-making based on their existing resources and capabilities. Hence, an attempt has been made to assess the standard of each infrastructure facility in Addanki mandal, Prakasham district. For this purpose, type of housing, roads, water supply and sanitation, electricity, telephone, transportation facilities have been identified as the major fields of the basic infrastructure. Detailed information about the infrastructure in Addanki mandal has been used for the development of the information system in ARCGIS environment. High-resolution satellite data from IRS-P6, LISS-IV –MX Resolution of 5.8m satellite has been used for the preparation of large scale base, drainage, transportation and land use/land Cover maps (1:10,000 Scale) supported with extensive field survey KEYWORDS Planning, Mandal information system, Remote Sensing, GIS. 1. INTRODUCTION within which development schemes can be planned Planners and decision-makers at Micro level have to and assessed and acceptable designs implemented. depend upon spatial and non-spatial data for optimal Mandal level information system would allow interpretation. Hence, the planners need to have at planners and citizens to quickly and efficiently create their disposal sophisticated data management systems and test alternative development scenarios and to handle such spatially correlated data. Mandal level determine their likely impacts on future land use studies are one of the most efficient ways to patterns vis-à-vis ever-increasing population allowing understand the farming systems in rural areas and public officials to make more informed planning also help in identifying the socio-economic and decisions. In short, use of (MLI) in local government institutional constraints faced by the farming administration would increase efficacy, save time, community. The emergence of Remote Sensing and improve accuracy, generate revenue, automate tasks, Geographic Information System as a powerful tool provide better decision support as well as being for spatial analysis and storage has in effect economical. alleviated the problem by computerization of the 3. STUDY AREA spatial data. This new technology can reduce the time The study area selected for the project is Addanki and cost to the planners in organizing the data in mandal, Prakasam District of Andhra Pradesh in arriving at precise conclusion and decisions. India. Prakasham is an administrative district in the Mandal Leval Information System, generated in the state of Andhra Pradesh with the district headquarters present project which integrates the spatial village located at Ongole. There are a total of 56 mandals in maps with non-spatial or tabular information, has this district occupying an area of 17,626 km² with a demonstrated its potential for grass-root level population of 3,054,941 (as of 2001census). Some of development planning taking into consideration the the main towns in Prakasam district are Markapur, local needs and constraints. Chirala, Addanki, Kandukur, Giddalur, Podili, 2. IMPORTANCE OF MANDAL Dornala, Cumbum, Kanigiri and Chimakurthi. INFORMATION SYSTEM Prakasam district occupies an area of 17626Km 2 with Mandal Information has been defined as the “process various agricultural, mining and quarrying, of recording and dissemination information about the manufacturing and other household villages resources information, census, utilities, land industries.However, The study area Addanki mandal use and use of land its associated resources”. A good is located at Longitude of 79 0 53’34.57’’ to 80 0. 2’ administration system should permit the integration 29.70’’ and Latitude of 15 0 55’38.85’’ to 15 0 41’ of village information and land use with sociological, 10.18’’. Area of Addanki mandal is 160.99 sq.kms economic and environmental data in support of (approximately) .it has a total population of 74,904 as physical planning. The availability of up-to-date per 2001 census, The mandal decadal growth rate is large-scale spatial data provides the basic framework 9.65 in between 1991-2001. JERS/Vol. II/ Issue IV/October-December, 2011/199-203 Journal of Engineering Research and Studies E-ISSN0976-7916 3.1 LOCATION MAP OF THE STUDY AREA: Fig.1: Location map 4. ARCGIS (d) Area map on any scale to ArcGIS has a high-level geographic data model for transfer details representing spatial information as features, rasters, (e) Reports and other literature of and other spatial data types. ArcGIS supports an the study area implementation of the data model for both file 2. Ground data: Ground data is very much systems and DBMSs. The file-based models include essential to verify and to increase the GIS datasets, such as coverages, shapefiles, grids, accuracy of the interpreted classes and also images, and Triangulated Irregular Networks (TINs). to minimize the field work. The geodatabased model manages the same types of 3. Data analysis: For analysis and geographic information in a DBMS, providing many interpretation of satellite data, the study can of the management benefits offered by a DBMS. be divided into three parts: Both the file-based data models and the DBMS-based A. Preliminary work geodatabase model define a generic model for B. Field work geographic information. This generic model can be C. Post field work used to define and work with a wide variety ofA. A. Preliminary work includes: different user or application – specific models. By • to see the limitation of satellite data defining and implementing the behaviour of a generic • to lay down the criteria for land use geographic data model, geographic information in classification to be adopted ArcGIS provides a robust platform for any GIS • to fix the size of mapping units, application. ArcGIS enables large volumes of which depends upon the scale imagery to be made quickly accessible to a wide • interpretation of different land range of applications and users. ArcGIS provides the use/land cover classes infrastructure that supports multiple workflows • demarcation of doubtful areas associated with collection, management, production, • preparation of field land use/land and exploitation of imagery. This includes the ability cover map to serve imagery quickly through dynamic, server- B. Field work: side image processing which complements a rich • Type of ground data to be collected capability for image management and dissemination. • Selection of sample area for final 5. Objectives classification To develop a standardized data model for • Checking of doubtful areas Land use/Land cover on 1:10,000 Scale • Change in land use/ land cover due to for object oriented mapping of Addanki wrong identification, fresh Mandal. development, nomenclature. To prepare the digital thematic map • General verification namely, base, drainage, transportation and C. Post field work: land use/ land cover, using satellite • reinterpretation and analysis or correction imageries on ArcGIS platform and to of doubtful areas maintain a spatial digital database. • transfer of details on base map To create a Mandal Information System • marginal information using ARCGIS software. • preparation of final land use/land cover map 6. Methodology For analysis and interpretation, two types of data 7. Creation of Mandal Information System (MIS) products are needed, namely that is basic data and is structured by grouping all the activities into ground data seven groups, the seven group activities are 1. Basic data: • Development of data model for LU/LC on (a) Satellite data 1:10000 scale. (b) Toposheets • Scanning and Digitization of Maps. (c) Local knowledge • Georeferencing and Registration. JERS/Vol. II/ Issue IV/October-December, 2011/199-203 Journal of Engineering Research and Studies E-ISSN0976-7916 • Field Work, Field data collection and GPS the satellite data the agriculture area (60%) could be survey for GCPs. clearly delineated as, single crop, double crop, • Generation of Thematic Maps. vegetation and plantations. Though single crop and • Data base Design and Management double crop has been observed at various parts of the • Home page Design for web-based VIS. study area and plantations are observed at some 8. Data Model for Land use / Land cover (On 1: places of the study area (8%). Water bodies occupied 10000 Scale) (4%). Under this category land with scrub (13%), A modern nation must have adequate information on land without scrub (3%) Based on the land use/land many complex interrelated aspects of its activities in cover categories (Figure 2)., infiltration rates of water order to make decisions. Land use / Land cover is are less at built-up land areas. Consequently only one such aspect, but knowledge
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