• Proceedings of the Korean Society of Applied Entomolohy Conference
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• 2003.10a
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• pp.82-82
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• 2003

• Proceedings of the Korean Society of Applied Entomolohy Conference
• /
• 2003.10a
• /
• pp.147-147
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• 2003

• Proceedings of the Korean Society of Applied Entomolohy Conference
• /
• 2003.10a
• /
• pp.156-156
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• 2003

• Proceedings of KOSOMES biannual meeting
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• 2017.04a
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• pp.194-194
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• 2017

• Proceedings of the Korean Society of Applied Entomolohy Conference
• /
• 2003.10a
• /
• pp.158-158
• /
• 2003

• Proceedings of the Korean Environmental Sciences Society Conference
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• 2002.05b
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• pp.342-343
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• 2002

• Proceedings of the Korea Air Pollution Research Association Conference
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• 2008.04a
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• pp.107-108
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• 2008

• Proceedings of the Korean Society of Community Living Science Conference
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• 2011.10a
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• pp.82-82
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• 2011

• Journal of Korean Society of Rural Planning
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• v.23 no.4
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• pp.127-141
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• 2017

The interest on rural ecological landscape has recently grown on the part of policy makers for rural development. While considerable efforts and resources have been invested to preserve and utilize rural landscape, we still lack a systematic means to quantify and evaluate ecosystem service value of the rural landscape and management status. So this study suggests rural ecological landscape management indicator considering ecosystem service value. It consists of 28 criteria and 107 subcategories, which can be applied to rural village. And We have applied ecosystem service value assessment and resident's management status on three villages, Moondang village, Yonggye village, and Sesim village.

• 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.