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      • KCI등재

        Detecting shoreline changing trends using principle component analysis in Sagar Island, West Bengal, India

        Ismail Mondal,Jatisankar Bandyopadhyay,Sangeeta Dhara 대한공간정보학회 2017 Spatial Information Research Vol.25 No.1

        Sagar coastline is a major attraction site for tourist and also source of income for the local peoples. However shoreline has been changing due to erosion. The shoreline position is difficult to predict but the trend of erosion or accretion can be determinate by statistical techniques. The study aims to assess the shoreline changes and prediction in Sagar Island, a delta of Ganges, situated in West Bengal, India. This study sought to find the trend of shoreline changes and factors. Shoreline can be detected by using PCA and non-directional edge techniques from Landsat images. The shoreline mapping of Sagar Island during (1975–2015) using geospatial techniques. The present study focuses the shoreline change and in future prediction from satellite derived multi-temporal Landsat MSS, Landsat TM, Landsat ETM?, Landsat OLI data using GIS; it is used to determinate or to estimate the change rate of shoreline in Sagar Island by End Point Rate, and Linear Regression models.

      • KCI등재

        Pollution tolerance performance index for plant species using geospatial technology: evidence from Kolaghat Thermal Plant area, West Bengal, India

        Shibdas Maity,Ismail Mondal,Biswanath Das,Amal Kumar Mondal,Jatisankar Bandyopadhyay 대한공간정보학회 2017 Spatial Information Research Vol.25 No.1

        Pollution is a global phenomenon which has completely transformed the socio-economic scenario in urban areas all over the world we also care about it. Although the plant has a number of benefits, the lack of treatment of the fly ash generated from this plant has been detrimental to the productivity and quality of the main commercial crops of the surrounding area and is also responsible for some changes in the land use pattern. Studies were made to assess the impact of a thermal power plant located at Kolaghat on vegetation and water in surrounding areas. Pollutant concentration in the area gradually increased along a belt in the prevailing wind direction and a gradient of structural and functional changes in aquatic plants was observed. Natural vegetation in the area varied significantly at different sites and on the basis of plant responses can be classified as insensitive, intermediate and sensitive repetitively. The effect of the power plant emissions on water, soil and eco-physiological characteristics such as chlorophyll content, relative water content, ascorbic acid, it’s seemed to be a function of the pollutant gradient existing in the area. There was a relationship between plant responses and changes in the chemical factors of water, soil and plants due to pollution of Thermal Power Plant. According to pollution tolerance performance index such types of plants species play an importance role for green development in Kolaghat Thermal Power area.

      • KCI등재

        Detecting medicinal plants species using GPS positioning in Vidyasagar University Campus, Midnapore, West Bengal, India

        Sk. Md. Abu Imam Saadi,Ismail Mondal,Subrata Sarkar,Amal Kumar Mondal,Jatisankar Bandyopadhyay 대한공간정보학회 2017 Spatial Information Research Vol.25 No.1

        A portable global positioning system (GPS) unit was tested against conventional field techniques for our University Campus plot location the GPS accuracy tested against 3 benchmarks indicated that for the surrounding area the largest average displacement from true position was 48 m form the mean sea level. Five operators were instructed in the use of GPS for waypoint navigation ours University campus and seven plots were then located by each of the operators using either GPS or conventional field navigation. Results indicated that the operator with the least amount of plot-location experience was able to locate plots faster with GPS than by conventional techniques. System portability, satellite availability, canopy interference with signals, and operator biases are cited as moderate encumbrances. Our study documented the diversity of medicinal plants of Vidyasagar University campus and their adjoining area in the district of Paschim Medinipur, South West Bengal, India. This includes 117 species, 108 genera, distributed among 49 plant families under the division Marchantiophyta, Pteridophyta, Monocotyledones and Dicotyledones. Our field survey reportare represent 117 species among them some dominating family’s like- Poaceae (11), Fabaceae (10), Apocynaceae (7), Malvaceae (6), Asteraceae (5), Euphorbiaceae (5), Amarantheceae (4), Araceae (4), Acanthaceae (4). Among the 117 species, presented checklist includes herbs (62), shrubs (22), trees (22), climbers (10) and Branched thallus (1). We take step for conservation of all the plant species to protect from anthropogenic activities.

      • KCI등재

        Glacier changes monitoring in Bhutan High Himalaya using remote sensing technology

        Mithun Kumar,Ayad M. Fadhil Al-Quraishi,Ismail Mondal 대한환경공학회 2021 Environmental Engineering Research Vol.26 No.1

        The primary objectives of this study are to identify glacier cover, detect changes of glacier from 1978 to 2017 in Bhutan, and identification of vulnerable zone based on glacier changes. Landsat images and remote sensing (RS) techniques, Maximum Likelihood Classification approach of Supervised Learning of image processing has been utilized to detect and monitor the glacier cover changes of Bhutan over the years (1978-2017). The study results revealed that total area of the glacier changes in 1978 and 2017 has decreased by 2.54%. Most of the glacier zones are found in the northern part of the country, basically near the Greater Himalayan Mountain Range. Gasa, Bamthung and Lhuentse districts of Bhutan were found to have more glacier changes area than the other districts, that the areas experienced more changes of glacier cover over 40 years. Where more changes in the glacier are detected, the area should be more vulnerable in terms of both landslide, unreliability in growing useful land covers and Glacier Lakes Outburst Floods (GLOFS) in downstream area.

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