Analysis of Land Use/Land Cover Changes Using Remote Sensing Data and GIS at an Urban Area, Tirupati, India (original) (raw)
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Research Article Analysis of Land Use/Land Cover Changes Using Remote Sensing
2013
Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited. Land use/land cover (LU/LC) changes were determined in an urban area, Tirupati, from 1976 to 2003 by using Geographical Information Systems (GISs) and remote sensing technology.These studies were employed by using the Survey of India topographic map 57O/6 and the remote sensing data of LISS III and PAN of IRS ID of 2003.The study area was classified into eight categories on the basis of field study, geographical conditions, and remote sensing data.The comparison of LU/LC in 1976 and 2003 derived from toposheet and satellite imagery interpretation indicates that there is a significant increase in built-up area, open forest, plantation, and other lands. It is also noted that substantial amount of agriculture land, water spread area, and dense forest area vanished during the period of study which may be due to rapid urbanization of the...
Advances in Remote Sensing, 2016
Land use/land cover (LULC) information is essential for the selection, planning and implementation of management strategies to meet the increasing demands for basic human needs and welfare of the ever growing population. This paper illustrates the status of land use/land cover in the Tirupati area of Andhra Pradesh state using an integrated approach of remote sensing and Geographic Information System (GIS). The National Land use/Land cover classification developed by National Remote Sensing Centre (NRSC) and Indian Space Research Organisation (ISRO) divides the land in the study area into five Level I classes, 11 Level II classes, and fifteen Level III classes. From this three-level hierarchic based classification, it was found that the Forest is the major LULC category in the Tirupati area covering 227.46 km 2 (58.55%), followed by Agricultural land, Wastelands, Built-up land and water bodies contributing to 70.36 km 2 (18.11%), 43.92 km 2 (11.31%), 32.71 km 2 (8.42%) and 14.03 km 2 (3.61%) respectively of the total geographical area. This study also reviewed the characteristics of urban sprawl and their impacts on quality of life, the evident driving forces and its impact on development activities. The study concludes that in Tirupati area forest land contributed the highest land cover (58.55%), while the lowest was contributed by water bodies (3.61%) and shows a significant impact of urbanization on the ecosystem.
2013
In the present study, remote sensing and GIS tools are used to study the land use-land covers in M.I.T., Manipal. The base map is created from the Survey of India toposheet ID 48 K/15 in 1:50000 scale dated 1971. Landuse/landcover classification is done by identifying classes such as Built-up areas, road network, play grounds, vegetation, barren land, marshy land and water bodies. Resoursesat 2 & IRS 1D - LISS 3 satellite imagery data set has been used to delineate Landuse/landcover classification. For accuracy assessment, Error matrix and Kappa analysis was done. The Overall accuracy of the land cover study is 75%.Change detection for land use and land cover classes were computed by using satellite images of different years
International Journal of Advanced Remote Sensing and GIS, 2016
Land use and land cover is an important factor in understanding the relations of human activities with the environment and thus is necessary to be able to simulate change. The focus of this paper is to map and study the land use and land cover pattern and change among 2002 and 2013 satellite imagery. It also produces a land use land cover maps of Parbhani city in Maharashtra at two epochs in order to detect the changes that take place in the diverse natural resources. After analysis of the image, supervised maximum likelihood algorithm was used to classify the imagery into different land use categories. Five land use classes have been recognized as vegetation, fallow land, barren land, residential area, and water body. The classification of image shows major change in residential areas. The change detection analysis shows that residential area in 2002 is 7.34 % and 14.25 % in 2013, it has been enlarged by 7.11 % similarly change detection for remaining areas has been done. The information on urban growth, land use land cover change study is extremely useful to local government and urban planners for the betterment for future plans of sustainable progress of the city.
The study was aimed at appraising the changing land use/land cover scenario of Tummalapalle region in Cuddapah district of Andhra Pradesh using Remote sensing data and GIS technology. The region is considered as it has rich uranium reserves and is experiencing a remarkable expansion in recent times. The land use/land cover change analysis was carried out using IRS P6 LISS-III and LANDSAT-8 OLI multi-temporal data pertaining to the years 2006 and 2016. The image classification resulted in five major land use/land cover classes namely built-up, agricultural, forest, wasteland and water bodies. The study noticed that the areas under built-up and agricultural classes are found increased from 0.94 km 2 (0.84%) to 2.75 km 2 (2.44%) and 61.68 km 2 (54.84%) to 63.91 km 2 (56.82%), respectively during 2006-2016. Area under forest, wasteland and water bodies are found decreased considerably from 3.09 km 2 (2.75%) to 0.86 km 2 (0.76%), 43.71 km 2 (38.56%) to 42.60 km 2 (37.88%) and 3.05 km 2 (2.71%) to 2.35 km 2 (2.09%), respectively. The study recommends development of industrial based economy by optimally utilizing the existing land resource (scrub and wasteland classes) and simultaneously extending the agricultural practices to other possible areas to make them more productive.
The land use and land cover change (LULC) of a region is an outcome of physical and socio-economic factors. Land is become scarce resource due to immense agricultural and demographic pressure. Present paper adequately demonstrates the utility of Remote Sensing and GIS Data to detect and record the land use and land cover of the area and its changes through time. In the present paper satellite data (Resourcesat-1, LISS-III) was used for different sensor for the year 2005-06 to 2011-12 to detect the land use and land cover changes of Murshidabad District. Hence information on land use and land cover and possibilities for their optimal use is essential for their reflection, planning and implementation of land use scheme to meet the increasing demands for basic human needs and welfare. The study reveals that marginal changes have occurred in most of the land use categories, except proportion of area under agriculture, fallow area which are drastically declined from 31.79% in 2005-06 to 6.37% in 2011-12. There was observed on Built-up-Mining area increased from 6.69% to 19.97% (2011-12).
Remote Sensing as a direct adjunct to field, recently playing an important role in the study and assess the natural resource in any part of the world. Anthropogenic changes in land use and land cover and land use are often assumed to be identical, they are rather quite different. Land cover may be defined as the biophysical earth surface, while land use is often shaped by human, socio-economic and political influences on the land. Remote Sensing (RS), integrated with Geographic Information System (GIS), provides an effective tool for analysis of land use and land cover changes at a regional level. The geospatial technology of RS and GIS holds the potential for timely and costeffective assessment of natural resources. The techniques have been used extensively in the tropics for generating valuable information on forest cover, vegetation type and land use changes. Therefore, we have used RS and GIS to study land use land cover changes in and around Vempalli area of Kadapa district, Andhra Pradesh, India covering an area of about 711 sq. km. In this view the present work has been taken up to study and assess some of the natural resources and environmental potential of study area which is falling in the Survey of India toposheets No: 57 J 07 and 57 J 11. Under this study three thematic maps such as location map, drainage map and land use / land cover maps were prepared. The land use and land cover analysis on the study area has been attempted based on thematic mapping of the area consisting of built-up land, cultivated land, water bodies, forest and uncultivated land using the satellite image. The research concludes that there is a rapid expansion of built-up area. Land use and land cover information, when used along with information on other natural resources, like water, soil, hydro-geomorphology, etc. will help in the optimal land use planning at the macro and micro level.
Land is one of the prime natural resources of a country. Land use and land cover may be refer to as human activity likes as built-up (Residential, Commercial, Agricultural land, Recreation area) and land cover is referred to natural vegetation, water bodies and hill area. Nashik city as study region of used IRS satellite data for the years of 1981, 2011.The Topographical base map (SOI)and the four satellite images likes as LISS-III are enhanced using spatial enhancement methods with edge enhance function. Supervised classification method is used to classify the land use and land cover of the study area. The Geographical information system is used to prepare the different layers belonging to various land uses identified from remotely sensed data. Land use land cover analysis of the results shows the drastic increase of built up area and reduced vegetation cover with in the city boundary limit.
Land Use / Land Cover Change of Delhi: A Study using Remote Sensing and GIS Techniques
2014
Unprecedented Growth of an area measured is an important task because it play an important role for future development of that area. The change analysis was performed by post classification comparison method, comparing the data of two different sensors (Lands at TM and LISS III IRS P-6), at different time periods (years 1992 and 2004). The growth of Delhi measured between two time periods was based on the above data set. The results showed that there was rapid change in land cover/land use. It was found that there was a phenomenal change in the built-up area in watersheds, loss of forest cover and change in agriculture land. There is a great need for sustainable management of resources to maximise benefits of societal resources. On the basis of these data the land transformation map for different time periods has been prepared and showing land transformation data.