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동의어 포함
목차
Scenario Generator를 활용한 사회경제경로 시나리오 반영 미래 토지피복 추정 = Estimation of Future Land Cover Considering Shared Socioeconomic Pathways using Scenario Generators / 송철호 ; 유소민 ; 김문일 ; 임철희 ; 김지원 ; 김세진 ; 김강선 ; 이우균 1
ABSTRACT 1
1. 서론 1
2. 연구 재료 및 방법 3
2.1. Scenario Generator를 활용한 연구 방법 3
2.2. 스토리라인 설정 및 토지피복 예측 방법 4
2.3. 공간 자료 구축 6
3. 결과 7
4. 고찰 7
5. 결론 10
REFERENCES 10
| 번호 | 참고문헌 | 국회도서관 소장유무 |
|---|---|---|
| 1 | Ecosystem services reinforce Sumatran tiger conservation in land use plans ![]() |
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| 2 | The SSP4: A world of deepening inequality ![]() |
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| 3 | Chae Y. 2016. Development of socio-economic scenarios for low carbon climate change adaptation read society in Korea, Korea Environment Institute Research Report. Korea Environment Institute, Sejong. | 미소장 |
| 4 | The marker quantification of the Shared Socioeconomic Pathway 2: A middle-of-the-road scenario for the 21st century ![]() |
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| 5 | SSP3: AIM implementation of Shared Socioeconomic Pathways ![]() |
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| 6 | Hurtt G, Chini L, Sahajpal R, Frolking S. 2018. harmonization of global land-use change and management for the period 850-2100. Geoscientific Model Development (In prep). | 미소장 |
| 7 | A Study on the Forest Classification for Ecosystem Services Valuation - Focused on Forest Type Map and Landcover Map - | 소장 |
| 8 | Global urbanization projections for the Shared Socioeconomic Pathways ![]() |
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| 9 | Spatially explicit global population scenarios consistent with the Shared Socioeconomic Pathways ![]() |
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| 10 | Geospatial technology based diversity and above ground biomass assessment of woody species of West Kameng district of Arunachal Pradesh | 소장 |
| 11 | Land use classification and land use change analysis using satellite images in Lombok Island, Indonesia | 소장 |
| 12 | Simulation of Land Use Change by Storylines of Shared Socio-Economic Reference Pathways | 소장 |
| 13 | Impact of Changes in Climate and Land Use/Land Cover Change Under Climate Change Scenario on Streamflow in the Basin | 소장 |
| 14 | Urban Growth Prediction each Administrative District Considering Social Economic Development Aspect of Climate Change Scenario | 소장 |
| 15 | Climate Change Impact on Korean Forest and Forest Management Strategies | 소장 |
| 16 | Modeling Land-Change of South Korea under a Business-as-usual Scenario | 소장 |
| 17 | Korea Forest Service. 2016. 2015 Statistical Yearbook of forestry. Korea Forest Service. Dajeon. | 미소장 |
| 18 | Fossil-fueled development (SSP5): An energy and resource intensive scenario for the 21st century ![]() |
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| 19 | A new scenario framework for climate change research: the concept of shared climate policy assumptions ![]() |
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| 20 | Prediction of Land-Use Change based on Urban Growth Scenario in South Korea using CLUE-s Model | 소장 |
| 21 | Improving the way we think about projecting future energy use and emissions of carbon dioxide ![]() |
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| 22 | The next generation of scenarios for climate change research and assessment ![]() |
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| 23 | The roads ahead: Narratives for shared socioeconomic pathways describing world futures in the 21st century ![]() |
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| 24 | A new scenario framework for climate change research: the concept of shared socioeconomic pathways ![]() |
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| 25 | Prediction of Land-cover Change Based on Climate Change Scenarios and Regional Characteristics using Cluster Analysis | 소장 |
| 26 | Prediction of Land-cover Changes and Analysis of Paddy Fields Changes Based on Climate Change Scenario (A1B) in Agricultural Reservoir Watersheds | 소장 |
| 27 | Prediction and comparison of urban growth by land suitability index mapping using GIS and RS in South Korea ![]() |
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| 28 | An overview of energy retrofit actions feasibility on Italian historical buildings ![]() |
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| 29 | Sagong H. 2004. Characteristics of Urban Sprawl in Seoul Metropolitan Region: An Integration of Remote Sensing and GIS Approach. Panning and Policy: 98-108. | 미소장 |
| 30 | Sharp R, Tallis HT, Ricketts T, Guerry AD, Wood SA, Chaplin-Kramer R, Nelson E, Ennaanay D, Wolny S, Olwero N, Vigerstol K, Pennington D, Mendoza G, Aukema J, Foster J, Forrest J, Cameron D, Arkema K, Lonsdorf E, Kennedy C, Verutes G, Kim CK, Guannel G, Papenfus M, Toft J, Marsik M, Bernhardt J, Griffin R, Glowinski K, Chaumont N, Perelman A, Lacayo M, Mandle L, Hamel P, Vogl AL, Rogers L, Bierbower W, Denu D, Douglass J. 2016. InVEST User’s Guide. The Natural Capital Project, Stanford University, University of Minnesota, The Nature Conservancy, and World Wildlife Fund, USA. | 미소장 |
| 31 | Projection of Forest Vegetation Change by Applying Future Climate Change Scenario MIROC3.2 A1B | 소장 |
| 32 | Mapping socio-economic scenarios of land cover change: A GIS method to enable ecosystem service modelling ![]() |
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| 33 | Climate and socio-economic scenarios for climate change research and assessment: reconciling the new with the old ![]() |
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| 34 | Energy, land-use and greenhouse gas emissions trajectories under a green growth paradigm ![]() |
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| 35 | A comparison of tools for modeling freshwater ecosystem services ![]() |
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| 36 | Analyzing Residential Land Use Change and Population Density Considering Climate Change Using Land Use Equilibrium Model in Jeju | 소장 |
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