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1 Jun 24, 2016
MAPPING AND MONITORING OF LAND TRANSFOR-MATION DUE TO URBAN SPRAWL IN REWARI CITY

Like other human-induced land cover change, urbaniza-tion represents a response to specific economic, demograph-ic or environmental conditions. We use the Rewari city area as a case study to relate satellite derived estimates of urban growth to demographic drivers. Large scale land transfor-mation process has been witnessed presently in and around Rewari city. Here the study attempts to map and monitor the urban land use changes in Rewari City of Haryana covering an area of 1174.63 ha. The Landsat data archive we have created a three epoch time series for urban growth for the period of 1973-2007. The basic data comprised of Landsat 1 (MSS) False Colour Composite (FCC) of 1973, Landsat 5 (TM) FCC of 1989, Landsat 7 (ETM+) FCC of 2000 and high resolution satellite images from Google Earth for the year 2007. The following analysis looks into issue of land transformation with focusing on the loss of cultivated and agricultural land put to non agricultural uses. The result shows that during the last 34 years the city population has increased 4.1 times and area has increased 6.6 times, con-suming 85 percent of good fertile cultivable land....

Authors: Tejpal, Yogender Kumar, Manoj Kumar.

2 Jun 24, 2016
SPATIAL ANALYSIS OF GROUNDWATER QUALITY FOR VIRUDHUNAGAR DISTRICT, TAMIL NADU USING GIS

Groundwater is one of the most impotent natural resources. Groundwater has become a necessary resource over the past decades due to the increase in its usage for drinking, water supply, irrigation and industrial uses etc. Groundwater resources are now facing threats due to anthro-pogenic activities. The groundwater quality is equally important as that of quantity. Mapping of spatial variability of groundwater quality is of vital importance and it is partic-ularly significant where groundwater is primary source of potable water. The present study has been undertaken to analyze the spatial variability of groundwater quality for Virudhunagar District located in the Tamil Nadu state. Geographical Information System (GIS) is used for the spatial analysis and it is a powerful tool for representation and analysis of spatial information related to water re-sources. The major water quality parameters such as pH, Electrical Conductivity (EC), Total Dissolved Solids, Total hardness, Sulphates, Fluorides and Calcium have been analysed. The spatial variation maps of these groundwater quality parameters were derived and integrated through GIS. The final integrated map shows three priority classes such as High, Medium and Low groundwater quality zones of the study area and provides a guideline for the suitability of groundwater for domestic purposes....

Authors: N.Karthikeyan, A.Saranya, M.C.Sashikkumar.

3 Jun 24, 2016
MODELING SOIL EROSION USING RUSLE AND GIS TOOLS

Soil erosion involves detachment and transport of soil parti-cles from top soil layers, degrading soil quality and reducing the productivity of affected lands. Soil eroded from the up-land catchment causes depletion of fertile agricultural land and the resulting sediment deposited at the river networks creates river morphological change and reservoir sedimenta-tion problems. However, land managers and policy makers are more interested in the spatial distribution of soil erosion risk than in absolute values of soil erosion loss. The aims of this paper is to model the spatial distribution of soil erosion in Densu River Basin of Ghana using RUSLE and GIS tools and to use the model to explore the relationship between erosion susceptibility, slope and Land use and Land Cover (LULC) in the Basin. The rainfall map, digital elevation model, soil type map, and land cover map, were input data in the soil erosion model developed. This model was then cate-gorized into four different erosion risk classes. The devel-oped soil erosion map was then overlaid with the slope and LULC maps of the of the study area to explore their effects on erosion susceptibility of the soil in the Densu River Ba-sin. The Model, predicted 88% of the basin as low erosion risk and 6% as moderate erosion risk3% as high erosion risk and 3% as severe risk. The high and severe erosion areas were distributed mainly within the areas of high slope gradi-ent and also sections of the moderate forest LULC class. Also, the areas within the moderate forest LULC class found to have high erosion risk had an intersecting high erodibility soil group....

Authors: George Ashiagbor, Eric K Forkuo, Prosper Laari, Raymond Aabeyir.

4 Jun 24, 2016
LAND USE/LAND COVER WITH SPECIAL REFERENCE TO AGRICULTURE / HORTICULTURE IN DISTRICT PULWAMA J&K USING REMOTE SENSING AND GIS TECHNIQUES

: The mapping of land use land cover with special reference to Agriculture/Horticulture in district Pulwama using Remote Sensing and GIS was taken up for present study. The District Pulwama is reported to be one of the pretty spots on the earth, because of its congenial climate, innumerable springs, streams, waterfalls, fragrant flowers delicious fruits and other...

Authors: Javeed Ahmad Rather, Tasneem Keng.

5 Jun 24, 2016
A STRATEGY OF FOREST/ NON-FOREST COVER MAPPING OF ACHANAKMAR-AMARKANTAK BIOSPHERE RESERVE, CENTRAL INDIA: BASED ON REMOTELY SENSED IMAGERY AND GIS DATA

Forest/ Non-forest (LU/LC) mapping is an outcome of natural and socio-economic factors and their relation with man in time. Forest is an important parameter for developmental planning. The present study aims to find out the Forest/ Non-forest mapping year 2010 in Achanakmar-Amarkantak Biosphere Reserve (AABR).The study has made use of Landsat TM satellite imageries for the year 2010 to identify the Forest/ Non-forest mapping categories in AABR. Forest growth has significantly changed the landscape of AABR. Presently the Achanakmar-Amarkantak biosphere reserve has been divided into core and buffer zones area only. Core zone is totally cover in forest and endangered species, and buffer zone of AABR shows both forest and non-forest area. These studies were employed by using the Survey of India topographic map and the remote sensing data of Landsat TM of 2010. ERDAS image processing and ArcGIS software were used to demarcate the Forest/ Non-forest mapping divisions in AABR. This research exploration of all Forest /non-forest area and development of wildlife information base including inventory data on habitats and species....

Authors: Abhishek Kr Maurya, Shashikant Tripathi, Sandeep Soni.

6 Jun 24, 2016
APPLICATION OF REMOTE SENSING AND GIS ANALYSIS TO DETECT MORPHOLOGICAL CHANGES IN AN ARTIFI-CIAL LAKE

In this study we have used remote sensing techniques inte-grated in GIS (Geographical Information System) environment to analyze the rapid morphological changes, spatially significant, occurred in an artificial lake, the San Giuliano Lake located in Basilicata Region (Southern Italy), generated by the damming of the Bradano River, in the period 1984 - 2004. The remote sensing data, derived from Landsat satellite imagery acquired in the same period, were processed using different enhancement techniques and classified with supervised algorithms widely used. The classification accuracy was assessed on the whole study area by estimating the Overall Accuracy (OA), Producer’s Accuracy (PA) and User’s Accuracy (UA). Data validation were performed with the aid of high resolution orthophoto means of random samples. The innovative approach lies in the way which the use of GIS geoprocessing data analysis and of the Digital Terrain Model (DTM) were integrated. They have allowed the creation of simulated water surfaces, called "false lake surface". A comparison between the false lake surfaces and the true ones, shows that the lacustrine area has experienced a dynamic evolutionary with plani-altimetric changes of water surface and volume stored. These physiographic changes are particularly evident in the subset imagery of years 1984, 1988, 1889, 1993, 1994 and 1995 and consist mainly of a substantial modification of the surface and perimeter of the artificial lake. These changes, related to erosion/sedimentation processes connected to the sedimentary dynamics of the main tributaries of the reservoir (Bradano River and Acquaviva Stream) and slopes overhanging the lacustrine area, are also confirmed by observations in the field. Finally, this study shows that the variations can adversely affect water volume stored with possible impact on the functionality of the reservoir in terms of risk and hazard for the local community....

Authors: Sergio Lo Curzio, Filippo Russo,Mariagraziana Caporaso.

7 Jun 24, 2016
LANDSLIDE HAZARD ZONATION OF AIZAWL DISTRICT, MIZORAM, INDIA USING REMOTE SENSING AND GIS TECHNIQUES

Landslide is the most frequently occurring natural hazard in the tectonically active region of the Himalaya. The immature geology with high degree of slope coupled with high rainfall are the natural causes of landslide in this region. In addition, the unplanned human activities also cause landslides. The present study was taken up to investigate the Landslide Hazard Zonation (LHZ) of Aizawl district, Mizoram that consists of four urban settlements and ninety seven rural villages. Using Remote Sensing and Geographic Information System (GIS) techniques, thematic layers like slope morphometry, geological structures like faults and lineaments, lithology, relative relief and land use / land cover were generated. The weightage rating system was used for different classes of thematic layers which are based on relative importance of various causative factors. The classes were assigned corresponding rating value as attribute information in the GIS environment. Each class within a thematic layer was assigned an ordinal rating from 1 to 10. Summation of these attribute values were then multiplied by the corresponding weights to yield the different zones of landslide hazard. A landslide hazard zonation map having five different zones ranging from very low hazard zone to very high hazard zone was prepared with an objective to create reliable database for pre-disaster management and for planning developmental activities in the district....

Authors: R.K.Lallianthanga, F. Lalbiakmawia.

8 Jun 24, 2016
EVALUATION OF GROUNDWATER RESOURCES STUDIES OF CHAMARAJANAGAR TALUK, CHAMARAJANAGAR DISTRICT, KARNATAKA, INDIA, USING REMOTE SENSING AND GIS TECHNIQUES

Ground water resources were evaluation for Chamarajanagar taluk is drought prone area of Chamarajanagar District, Karnata-ka. The area receives an average annual rainfall of 696 mm. Groundwater is the major sources of irrigation and drinking. The increasing population and growing demands of threatens the sus-tainability of water resources. Hence, the evaluation of ground-water resources and status in groundwater development of Cha-marajanagar taluk is carried out utilizing the Remote Sensing and GIS techniques in conjunction with conventional methods. Re-charge from precipitation forms major part in groundwater re-charge and depends on geomorphology, soils and slope. There-fore, geomorphology and soils of the taluk are prepared for using mapped IRS-ID digital data of LISS-III AND PAN coupled with field work. Soil units’ are delineated and utilized for groundwater recharge from precipitation. Each soil unit is assigned different infiltration rates falling and range from 5% to 15% and is in line as indicated by groundwater estimation committee (GWEC). The seepage from the irrigation tanks with red gravelly soils below the tank bed has been estimated considering 15% seepage fac-tor. Similarly the return seepage from percolation tanks has also been estimated by adopting 50% of gross storage. The return seepage from irrigation fields is worked based on the double cropped areas (Ragi) delineating from IRS digital data. Thus the groundwater recharge from various sources is computed .the an-nual groundwater draft has been estimated based on the well cen-sus, type and unit draft. The status of groundwater development for chamarajanagar taluk as per GWEC norms workout to 78% and is falling in semi critical category....

Authors: Siddalingamurthy.S, D.Nagaraju, Sumithra S, Mohammad Subhan Lone, Ramakrishna, Lakshmamma.

9 Jun 24, 2016
REMOTE SENSING AND GIS APPLICATIONS IN DETERMINATION OF GEOMORPHOLOGICAL MAPPING OF ACHANAKMAR AMARKANTAK BIOSPHERE RESERVE USING MULTISPECTRAL SATELLITE DATA

Geomorphological mapping and necessary supporting data are crucial to developing countries that are usually under severe environmental and demographic strains. Approaches and methods to map the variability of natural resources are important tools to properly guide spatial planning. In this paper a comprehensive and flexible new geomorphological combination legend that expands the possibilities of current geomorphological mapping concepts. The piece-by-piece legend forms a “geomorphological alphabet” that offers a high diversity of geomorphological information and a possibility for numerous combinations of information. This results in a scientific map that is rich in data and which is more informative than most previous maps but is based on a simple legend. The system is developed to also be used as a basis for applications in GIS. The symbol-based information in the geomorphological maps can be digitally stored as a powerful database with thematic layers and attribute tables. By combining and further developing aspects of different classical mapping systems and techniques into expanded data combinations, new possibilities of presentation and storage are developed and thus a strong scientific tool is provided for landscape configuration and the reconstruction of its development; in turn the combination paves the way for specific thematic applications. This paper demonstrates a systematic approach for the identification of landforms and structures in Achanakmar Amarkantak Biosphere Reserve where conventional field based methods are difficult to adopt due to terrain inaccessibility. The geomorphological parameters of the study area using Multispectral Satellite Data (LISS 3 and TM) and interpretation techniques were used by means of ARC-GIS 10.1 and ERDAS IMAGINE 10 Software which aided a better option for visualizing the terrain and mapping....

Authors: Sateesh K. Karwariya, Shashikant Tripathi, Saurabh Shiva.