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JournalISSN: 0976-4380

International journal of Geomatics and Geosciences 

About: International journal of Geomatics and Geosciences is an academic journal. The journal publishes majorly in the area(s): Land cover & Land use. Over the lifetime, 350 publications have been published receiving 3369 citations.

Papers published on a yearly basis

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Journal Article
TL;DR: In this article, an attempt has been made to study the detail morphometric characteristics of Karawan watershed in Dhasan basin, which itself is part of the mega Yamuna basin in Sagar district, Madhya Pradesh.
Abstract: In the present paper, an attempt has been made to study the detail morphometric characteristics of Karawan watershed in Dhasan basin, which itself is part of the mega Yamuna basin in Sagar district, Madhya Pradesh. For detailed study, we used ASTER data for preparing digital elevation model (DEM), and geographical information system (GIS) was used in evaluation of linear, areal and relief aspects of morphometric parameters. Watershed boundary, flow accumulation, flow direction, flow length, stream ordering have been prepared using ArcHydro Tool; and contour, slopeaspect, hillshade have been prepared using Surface Tool in ArcGIS10 software, and ASTER (DEM). Different thematic maps i.e. drainage density, slope, relief, superimposed profile, and longitudinal profiles have been prepared by using ArcGIS software. Authors have computed more than 85 morphometric parameter of all aspects. Based on all morphometric parameters analysis; that the erosional development of the area by the streams has progressed well beyond maturity and that lithology has had an influence in the drainage development. These studies are very useful for planning rainwater harvesting and watershed management.

198 citations

Journal Article
TL;DR: In this paper, the authors have made an attempt to study the changes in land use and land cover in Kodaikanal Taluk over 40 years period (1969-2008).
Abstract: Land use and land cover is an important component in understanding the interactions of the human activities with the environment and thus it is necessary to be able to simulate changes. Empirical observation revealed a change in land use land cover classification in Kodaikanal taluk, a part of Western Ghats located in Tamilnadu state. In this paper an attempt is made to study the changes in land use and land cover in Kodaikanal Taluk over 40 years period (1969­ 2008). The study has been done through remote sensing approach using SOI Taluk map of Kodaikanal (1969), and Land Sat imageries of May 2003 and April 2008. The land use land cover classification was performed based on the Survey of India Kodaikanal Taluk map and Satellite imageries. GIS software is used to prepare the thematic maps. Ground truth observations were also performed to check the accuracy of the classification. The present study has brought to light that forest area that occupied about 70 per cent of the Taluk's area in 1969 has decreased to 33 per cent in 2008. Agricultural land, Built up area, Harvested land and Waste land also have experienced change. Built­up lands (Settlement) have increased from 3 per cent to 21 per cent of the total area. Kodaikanal area is identified as one of the bio­diversity area in India. Proper land use planning is essential for a sustainable development of Kodaikanal Taluk.

162 citations

Journal Article
TL;DR: In this paper, the authors used remote sensing (RS), geographical information system (GIS) and global positioning system(GPS) for the identification of morphological features and analyzing their properties of the Lower Gostani River Basin (LGRB) area in Andhra Pradesh, India.
Abstract: Spatial information technology (SIT) i.e. remote sensing (RS), geographical information system (GIS) and global positioning system (GPS) has proved to be an efficient tool in delineation of drainage pattern and water resources management and its planning. GIS and image processing techniques have been adopted for the identification of morphological features and analyzing their properties of the Lower Gostani River Basin (LGRB) area in Andhra Pradesh state, India. The basin morphometric parameters such as linear and aerial aspects of the river basin were determined and computed. The area is occupied by 96% khondalite group (quartz­feldspar­garnetsillimanite­gneiss) of rocks. It is 7 th order drainage basin and drainage pattern mainly in sub­dendritic to dendritic type. It is observed that the drainage density value is low which indicates the basin is highly permeable subsoil and thick vegetative cover. The circularity ratio value reveals that the basin is strongly elongated and highly permeable homogenous geologic materials. This study would help the local people to utilize the resources for sustainable development of the basin area.

103 citations

Journal Article
TL;DR: In this article, the authors demonstrated the potential of Geospatial and statistics technique for monitoring the shoreline changes along the coast of Bhitarkanika Wildlife Sanctuary, Orissa, India since such kind of changes stand as a testimony for the past and present coastal environment.
Abstract: The shoreline is one of the rapidly changing linear features of the coastal zone which is dynamic in nature. The issue of shoreline changes due to sea level rise over the next century has increasingly become a major social, economic and environmental concern to a large number of countries along the coast, where it poses a serious problem to the environment and human settlements. The global effects of sealevel rise on coasts will vary spatially. As a consequence, some coastal scientists have advocated analyzing and predicting coastal changes on a more local scale. The need to predict and manage the potential impact of sealevel rise on coasts necessitates accurate study on micro level. The present study demonstrates the potential of Geospatial and statistics technique for monitoring the shoreline changes along the coast of Bhitarkanika Wildlife Sanctuary, Orissa, India since such kind of changes stand as a testimony for the past and present coastal environment. In the present study, multiresolution and multi temporal satellite images of Landsat have been utilized to demarcate shoreline positions during 1973, 1989, 2000 and 2009. The Statistical techniques called as linear regression and regression coefficient (R2) have been used for find out the change rate during the period of 19732009. Finally, an attempt has been made to find out any interactive relationship between the sea level rise and shoreline change in the concerned area. The present study demonstrates that combined use of satellite imagery and statistical methods can be a reliable method for analyzed the shoreline changes in relationship to sea level rise.

82 citations

Journal Article
TL;DR: In this article, the authors focus on the development of the new approaches which can handle multi source data, identify and decrease uncertainty sources in biomass estimation is required in future studies, and they propose a new approach for multi-source data.
Abstract: Due to the important role of forests in the global carbon cycle, it's necessary to pay more attention to these regions. Among forests biophysical parameters, Biomass estimation as the most influencing factor on the ecosystem is the most important. Due to limitations of traditional forest inventory technique to measure biomass, remote sensing has been widely used for biomass estimation in the past decade. In areas with complex structure, various species and multilayer vegetation cover, using microwave images would be the only solution because of the limitation of optical images. According to recent studies about biomass estimation with microwave images, the interferometry technique yields the best results but still is limited and not tested in all forest types. Because using microwave images has its own problems, focusing on the development of the new approaches which can handle multi source data, identify and decrease uncertainty sources in biomass estimation is required in future studies.

80 citations

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Performance
Metrics
No. of papers from the Journal in previous years
YearPapers
20176
201611
201554
201441
201347
201252