Tag: R14

ANALYSIS OF MORPHOLOGICAL CHANGING SCENARIO OF RIVER JAMUNA, WEST BENGAL, INDIA

Somnath DAS

Cartographer (Contractual), Department of Geography, University of Kalyani, Kalyani, Nadia-741235, West Bengal, India.

sdas8969@gmail.com

Abhay SANKAR SAHU

Professor, Department of Geography, University of Kalyani, Kalyani, Nadia-741235, West, Bengal, India.

asahugeo@klyuniv.ac.in

Abstract

Jamuna is one of the distributary river of India which belongs to the Gangetic Delta region located in the eastern part of India and originates from the Bhagirathi River and flows into Ichhamati River. But at present the Jamuna River is continuously drying up and its flow is gradually slowing down. In this study, the morphological changes of the river from 1977 to 2020 are described through change detection technique. Topographical map (US Army, 1955), USGS satellite images of different years (1977, 2000) and google satellite image (2020) have been used for that. Again for the convenience of the discussion the river has been divided into three segments. A comparison of the course of the river in 2020 with respect to the course of the river in 2000 has been made to determine how much the river course has been damaged by humans. A large part of the river course has been occupied by man for his own needs i.e. cultivation, settlement, fisheries and even plantation of trees. Here, it shown that the course of the river has been progressively narrowed and damaged by human activities. All work was done using RS and GIS platform with GIS software.

Keywords: River delineation, plan form pattern, channel width, long profile, human activities

JEL classification: Q25, R14, Y10, Y91

pp. 115-134

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MONITORING LAND USE / LAND COVER CHANGES USING REMOTE SENSING AND GIS: A CASE STUDY ON KANCHRAPARA MUNICIPALITY AND ITS ADJOINING AREA, WEST BENGAL, INDIA

Somnath DAS

Cartographer (Contractual), Department of Geography, University of Kalyani, Kalyani, Nadia-741235, West Bengal, India.

somu8969@gmail.com

Abhay Sankar SAHU

Assistant Professor, Department of Geography, University of Kalyani, Kalyani, Nadia-741235, West Bengal, India.

sahu.abhaysankar@gmail.com

Abstract

Changes in land use are a very important issue. Through the discussion of land use change it is easy to know the relationship of a person living in that place with that place. This paper demonstrates the land use changes of Kanchrapara Municipality and its adjoining area through the use of some techniques of remote sensing and GIS (Geographical Information System). Two Landsat satellite images with a range of twenty years have been used to apply these techniques. These images were of the Landsat-7 ETM+ (Year 2000) and Landsat-8 OLI-TIRS (Year 2019). ArcGIS 10.5 software has been used for pre-processing of these images. Then the supervised classification method has been used for the classification of those images using QGIS 3.4 software using the maximum likelihood algorithm. Four types of land use categories have been identified by image classification based on satellite images and Google maps. These were water bodies, vegetation coverage area, bare soil and built up area. Of these, only the amount of bare soil has increased (+17.22%) and the rest of land use categories decreased comparatively. The reasons for the increase and decrease of this level were also discussed here. Accuracy assessment has been also done to determine the accuracy of image classification. Where the overall accuracy of two decades was 82.39 % and 83 % respectively, with the Kappa coefficient was 0.75 and 0.76 respectively. Finally, there is a comparative discussion of two decades of land use using change detection techniques.

Keywords: Land use/ land cover changes, Image processing, Accuracy assessment, Kappa Coefficient, Change detection technique

JEL classification: C00, C89, R14, R52

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TOWARDS AN INTEGRATED PARTICIPATORY MARINE/COASTAL AND TERRITORIAL SPATIAL PLANNING APPROACH AT THE LOCAL LEVEL – PLANNING TOOLS AND ISSUES RAISED

Nikoleta PANAGOU

Rural and Surveying Engineer, Dept. of Geography and Regional Planning, School of Rural and Surveying Engineering, National Technical University of Athens, Greece

nikolpanagou@gmail.com

Athina KOKKALI

Marine Scientist, MSc., PhD Candidate, Dept. of Geography and Regional Planner, School of Rural and Surveying Engineering, National Technical University of Athens, Greece

athkokkali@gmail.com

Anastasia STRATIGEA

Professor, Dept. of Geography and Regional Planning, School of Rural and Surveying Engineering, National Technical University of Athens, Greece

stratige@central.ntua.gr

Abstract

Future development of coastal and island communities is nowadays marked by two evolving trends, namely the rapid urbanization and the increasing interest in sea-related activities. Coping with these trends as well as other challenges faced in these areas (climate change, coastal erosion etc.) lies at the heart of policy concern, while has also opened up new fields of research work and concern as to the methodological aspects that can support an integrated planning view of terrestrial and marine environments and their interactions. By drawing on knowledge acquired from relative studies at a macro-regional level, this paper attempts to shift to the local level; and structure an integrated methodological approach enabling the concurrent confrontation of territorial and maritime planning issues and policy making. The paper places emphasis on testing well-established planning tools (MICMAC and MACTOR models) that are capable of perceiving, in a structured way, the integration of land and marine environments into one system as well as integration of views, interests, stakes etc. of land and maritime stakeholders. Implementation of this framework in an island region –Zakynthos Greece– designates the value of these planning tools in: feeding the planning process with valuable knowledge, emerging from the study of interaction of land and maritime subsystems as well as of respective stakeholders; and effectively supporting implementation of subsequent planning stages for building up more informed policy decisions.

Keywords: Blue growth, Integrated marine and land spatial planning, Policy, MICMAC and MACTOR models, Island regions.

JEL classification: R00, R11, R14, R50, R58
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