• Proceedings of the KSRS Conference
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• 2003.11a
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• pp.1389-1389
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• 2003

• Journal of Forest and Environmental Science
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• v.37 no.1
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• pp.44-51
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• 2021

Rapid urbanization and population growth have caused substantial land use land cover (LULC) change in the Kathmandu valley. The lack of temporal and geographical data regarding LULC in the middle mountain region like Kathmandu has been challenging to assess the changes that have occurred. The purpose of this study is to investigate the changes in LULC in Chandragiri Municipality between 1996 and 2017 using geographical information system (GIS) and remote sensing. Using Landsat imageries of 1996 and 2017, this study analyzed the LULC change over 21 years. The images were classified using the Maximum Likelihood classification method and post classified using the change detection technique in GIS. The result shows that severe land cover changes have occurred in the Forest (11.63%), Built-up areas (3.68%), Agriculture (-11.26%), Shrubland (-0.15%), and Bareland (-3.91%) in the region from 1996 to 2017. This paper highlights the use of GIS and remote sensing in understanding the changes in LULC in the south-west part of Kathmandu valley.

• Journal of the Korea Institute of Information and Communication Engineering
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• v.7 no.5
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• pp.1068-1075
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• 2003

Today, satellite remote sensing and geographic information systems plays an important role as a advanced science and technology, and becomes a superpower tool of the study and research in various fields of Earth Science. This study reviews the application of satellite remote sensing and geographic information systems for many specialists in the fields of the fishery and ocean science. In future, satellite remote sensing and geographic information systems will be greatly used to observed, monitor and predict various phenomena associated with the fisheries and oceans, in order to seek safety in a natural disaster, and menage and conserve the fisheries and resources and the oceanic environments.

• 한국지형공간정보학회:학술대회논문집
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• 2003.09a
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• pp.3-27
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• 2003

• Proceedings of the Korea Water Resources Association Conference
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• 2005.09a
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• pp.42-43
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• 2005

• Proceedings of the KSRS Conference
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• 2003.11a
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• pp.162-164
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• 2003

The multi-disciplinary research project Strengthening Local Authorities in Risk Management (SLARIM), initiated by ITC, includes three case study cities in Asia. An important question is: what are the essential data for risk management and how to access such data. The role of common sources (e.g. census data), data derived from remote sensing (high-resolution satellite imagery, aerial photos), and data from close sensing (field observation, including mobile GIS) to acquire essential risk management data will be discussed. Special attention is given to the question of the minimum area and to disaggregating population data. A few examples are given of Kathmandu / Lalitpur, Nepal.

• Korean Journal of Remote Sensing
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• v.36 no.1
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• pp.83-92
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• 2020

The purpose of this work was to apply geographical information system (GIS) for geostatistical analyzing by selecting a semi-variogram model to quantify the spatial correlation of the population distribution with residential neighborhoods in the both sides of Mosul city. Two hundred and sixty-eight sample sites in 240 ㎢ are adopted. After determining the population distribution with respect to neighborhoods, data were inserted to ArcGIS10.3 software. Afterward, the datasets was subjected to the semi-variogram model using ordinary kriging interpolation. The results obtained from interpolation method showed that among the various models, Spherical model gives best fit of the data by cross-validation. The kriging prediction map obtained by this study, shows a particular spatial dependence of the population distribution with the neighborhoods. The results obtained from interpolation method also indicates an unbalanced population distribution, as there is no balance between the size of the population neighborhoods and their share of the size of the population, where the results showed that the right side is more densely populated because of the small area of residential homes which occupied by more than one family, as well as the right side is concentrated in economic and social activities.

• Proceedings of the KSRS Conference
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• 2003.11a
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• pp.307-309
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• 2003

The paper compares Static GIS, Mobile GIS, Dynamic GIS and Moving GIS at first, then puts forward and discusses a description means of mobile objects, a model of spatial relation based on 9-intersection model and the query and analysis operations that Moving GIS should implement. On the above theory basis, the paper designs the function of Moving GIS and implements a prototype system named PNS-I on the basis of PDA, which has integrated GPS, GIS, GSM and GPRS.

• Korean Journal of Soil Science and Fertilizer
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• v.43 no.5
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• pp.684-695
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• 2010

Geographic information system (GIS) is being increasingly used for decision making, planning and agricultural environment management because of its analytical capacity. GIS and remote sensing have been combined with environmental models for many agricultural applications on monitoring of soils, agricultural water quality, microbial activity, vegetation and aquatic insect distribution. This paper introduce principles, vegetation indices, spatial data structure, spatial analysis of GIS and remote sensing in agricultural applications including terrain analysis, soil erosion, and runoff potential. National Academy of Agricultural Science (NAAS), Rural Development Administration (RDA) has a spatial database of agricultural soils, surface and underground water, weeds, aquatic insect, and climate data, and established a web-GIS system providing spatial and temporal variability of agricultural environment information since 2007. GIS-based interactive mapping system would encourage researchers and students to widely utilize spatial information on their studies with regard to agricultural and environmental problem solving combined with other national GIS database. GIS and remote sensing will play an important role to support and make decisions from a national level of conservation and protection to a farm level of management practice in the near future.

• Proceedings of the KSRS Conference
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• 2003.11a
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• pp.936-939
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• 2003

Potential and capabilities of GIS in planning and decision-making is widely known as an experimental tool, but its existence in real-world application is yet to realize. GIS originated in the field of cartography and even at today it is mainly used as a tool for map production. Number of reasons could bring forward for this shortcoming. Limited real-world applications could be a significant one among them. This paper describe an attempt to use GIS technology in Lao PDR where a study team was involved in formulating a Master Plan for national healthcare system. A database was created for the whole country with spatial and descriptive data gathered from various sources. Attempt was made to demonstrate the potential of GIS by using the database for identifying healthcare status, distribution of resources, recognizing deprived areas and locating areas for future investments based on accessibility and social status. The approach justified the investment on a GIS system and introducing the system in the planning sector from grass-root level to central level.