Poster: Spatiotemporal Visualization Method for Interrelation-based Analysis of Agriculture’s GHG Emissions and Agricultural Productivity in Asian Region Using the 5D World Map System
This poster was presented during Our Common Future Under Climate Change International Scientific Conference (CFCC 15), 7-10 July 2015, UNESCO Paris, France.
http://www.reporterre.net/IMG/pdf/programme_cfcc15_7-10_juillet-2.pdf
A one-day Strategic Foresight Conference took place at IFPRI Headquarters in Washington DC on November 7, 2014. Participants from leading global modeling groups, collaborating CGIAR centers and research programs, and other partners reviewed new long-term projections for global agriculture from IFPRI and other leading institutions, examined the potential impacts of climate change and other key challenges, and discussed the role of foresight work in identifying and supporting promising solutions.
Topics included:
Long-term outlook and challenges for food & agriculture
Addressing the challenges
Foresight in the CGIAR
Webcast video of morning sessions available on Global Futures program website here: http://globalfutures.cgiar.org/2014/11/03/global-futures-strategic-foresight-conference/
University of Aberdeen and the International Maize and Wheat Improvement Center (CIMMYT) have been collaborating to use the CGIAR Research Program on Climate Change, Agriculture and Food Security (CCAFS) Mitigation Options Tool (CCAFS-MOT) to estimate greenhouse gas emissions from Indian farming and identifies cost-effective mitigation options. Sylvia Vetter has presented a poster with preliminary results of this project at EGU – European Geosciences Union General Assembly in Vienna in April 2016.
Authors: Sylvia Vetter, Diana Feliciano, Jon Hillier, Clare Stirling, Tek Bahdur, Pete Smith.
The Climate Food and Farming (CLIFF) Research Network is an international research network that helps to expand young researchers' knowledge and experience working on climate change mitigation in smallholder farming. CLIFF provides grants for selected doctoral students to work with CGIAR researchers affiliated with the Standard Assessment of Mitigation Potential and Livelihoods in Smallholder Systems (SAMPLES) project.
This presentation is Use of Empirical Tools/Calculatrs to Quantify GHG Emission from Agricultural Systems by Tek B. Sapkota, a scientist with the International Maize and Wheat Improvement Center.
A one-day Strategic Foresight Conference took place at IFPRI Headquarters in Washington DC on November 7, 2014. Participants from leading global modeling groups, collaborating CGIAR centers and research programs, and other partners reviewed new long-term projections for global agriculture from IFPRI and other leading institutions, examined the potential impacts of climate change and other key challenges, and discussed the role of foresight work in identifying and supporting promising solutions.
Topics included:
Long-term outlook and challenges for food & agriculture
Addressing the challenges
Foresight in the CGIAR
Webcast video of morning sessions available on Global Futures program website here: http://globalfutures.cgiar.org/2014/11/03/global-futures-strategic-foresight-conference/
University of Aberdeen and the International Maize and Wheat Improvement Center (CIMMYT) have been collaborating to use the CGIAR Research Program on Climate Change, Agriculture and Food Security (CCAFS) Mitigation Options Tool (CCAFS-MOT) to estimate greenhouse gas emissions from Indian farming and identifies cost-effective mitigation options. Sylvia Vetter has presented a poster with preliminary results of this project at EGU – European Geosciences Union General Assembly in Vienna in April 2016.
Authors: Sylvia Vetter, Diana Feliciano, Jon Hillier, Clare Stirling, Tek Bahdur, Pete Smith.
The Climate Food and Farming (CLIFF) Research Network is an international research network that helps to expand young researchers' knowledge and experience working on climate change mitigation in smallholder farming. CLIFF provides grants for selected doctoral students to work with CGIAR researchers affiliated with the Standard Assessment of Mitigation Potential and Livelihoods in Smallholder Systems (SAMPLES) project.
This presentation is Use of Empirical Tools/Calculatrs to Quantify GHG Emission from Agricultural Systems by Tek B. Sapkota, a scientist with the International Maize and Wheat Improvement Center.
Unaccounted emissions from biofuels - Presentation at UNFCCC Bonn Climate Tal...Wetlands International
Converting carbon-rich lands such as rainforests, peatlands, savannas or grasslands to produce biofuels will increase CO2 emissions for decades or centuries, releasing 17 to 420 times more CO2 than the fossil fuels they replace.
How can ‘Yield gap analysis’ be useful :Global yield gap atlas (gyga)ICRISAT
The Global Yield Gap Atlas provides important information on the capacities of various countries to be self-sufficient in staple food crop production now and in the future. So far the Atlas has been populated for 24 countries for five major staple crops (maize, wheat, rice, sorghum and millet) and analyses for 25 additional countries is in progress.
Presentation by Eskender Beza, João Vasco Silva, Pytrik Reidsma, Martin Herold, Lammert Kooistra, Laboratory of Geo-Information Science and Remote Sensing and Plant Production System (PPS)
Session: ICTs/Mobile Apps for Management and Use of Agricultural Data
on 7 Nov 2013
ICT4Ag, Kiali, Rwanda
Significant offset of long-term potential soil carbon sequestration by nitrou...ExternalEvents
This presentation was presented during the 3 Parallel session on Theme 2, Maintaining and/or increasing SOC stocks for climate change mitigation and adaptation and Land Degradation Neutrality, of the Global Symposium on Soil Organic Carbon that took place in Rome 21-23 March 2017. The presentation was made by Mr. Emanuele Lugato, from JRC - Italy, in FAO Hq, Rome
The Foodie platform hub aims at enabling in an easy manner the (re)use of open data in the agricultural domain in order to create new applications that provide added value to different stakeholder groups.
Presentation at workshop: Reducing the costs of GHG estimates in agriculture to inform low emissions development
November 10-12, 2014
Sponsored by the CGIAR Research Program on Climate Change, Agriculture and Food Security (CCAFS) and the Food and Agriculture Organization of the United Nations (FAO)
Yield Forecasting to Sustain the Agricultural Transportation UnderStochastic ...IJRESJOURNAL
ABSTRACT: Agricultural transportation is a major part of the United States’ transportation systems. This system follows a complex multimodal network consisting of highway, railway, and waterways which are mostly based on the yield of the agricultural commodities and their market values. The yield of agricultural commodities is dependent on stochastic environment such as weather conditions, rainfall, soil type and natural disasters. Different techniques such as leaf growth index, Normalized Difference Vegetation Index (NDVI), and regression analysis are used to forecast the yield for the end of harvest season. The yield forecasting techniques are used to predict the agricultural transportation needs and improve the cost minimization. This study provides a model for yield forecasting using NDVI data, Geographical Information System (GIS), and statistical analysis. A case study is presented to demonstrate this model with a novel tool for collecting NDVI data.
Keith Wiebe
Global Landscapes Forum
IFPRI Session: Informing the policymaking landscape: From research to action in the fight against climate change and hunger
Marrakech, Morocco
November 16, 2016
Unaccounted emissions from biofuels - Presentation at UNFCCC Bonn Climate Tal...Wetlands International
Converting carbon-rich lands such as rainforests, peatlands, savannas or grasslands to produce biofuels will increase CO2 emissions for decades or centuries, releasing 17 to 420 times more CO2 than the fossil fuels they replace.
How can ‘Yield gap analysis’ be useful :Global yield gap atlas (gyga)ICRISAT
The Global Yield Gap Atlas provides important information on the capacities of various countries to be self-sufficient in staple food crop production now and in the future. So far the Atlas has been populated for 24 countries for five major staple crops (maize, wheat, rice, sorghum and millet) and analyses for 25 additional countries is in progress.
Presentation by Eskender Beza, João Vasco Silva, Pytrik Reidsma, Martin Herold, Lammert Kooistra, Laboratory of Geo-Information Science and Remote Sensing and Plant Production System (PPS)
Session: ICTs/Mobile Apps for Management and Use of Agricultural Data
on 7 Nov 2013
ICT4Ag, Kiali, Rwanda
Significant offset of long-term potential soil carbon sequestration by nitrou...ExternalEvents
This presentation was presented during the 3 Parallel session on Theme 2, Maintaining and/or increasing SOC stocks for climate change mitigation and adaptation and Land Degradation Neutrality, of the Global Symposium on Soil Organic Carbon that took place in Rome 21-23 March 2017. The presentation was made by Mr. Emanuele Lugato, from JRC - Italy, in FAO Hq, Rome
The Foodie platform hub aims at enabling in an easy manner the (re)use of open data in the agricultural domain in order to create new applications that provide added value to different stakeholder groups.
Presentation at workshop: Reducing the costs of GHG estimates in agriculture to inform low emissions development
November 10-12, 2014
Sponsored by the CGIAR Research Program on Climate Change, Agriculture and Food Security (CCAFS) and the Food and Agriculture Organization of the United Nations (FAO)
Feliciano Tool for geographic optimization mitigation options Nov 12 2014
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Yield Forecasting to Sustain the Agricultural Transportation UnderStochastic ...IJRESJOURNAL
ABSTRACT: Agricultural transportation is a major part of the United States’ transportation systems. This system follows a complex multimodal network consisting of highway, railway, and waterways which are mostly based on the yield of the agricultural commodities and their market values. The yield of agricultural commodities is dependent on stochastic environment such as weather conditions, rainfall, soil type and natural disasters. Different techniques such as leaf growth index, Normalized Difference Vegetation Index (NDVI), and regression analysis are used to forecast the yield for the end of harvest season. The yield forecasting techniques are used to predict the agricultural transportation needs and improve the cost minimization. This study provides a model for yield forecasting using NDVI data, Geographical Information System (GIS), and statistical analysis. A case study is presented to demonstrate this model with a novel tool for collecting NDVI data.
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http://www.landscapes.org/
Life cycle assessment (LCA) of Dairy and beef cattles Mohmed Sarhan
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Poster: Spatiotemporal Visualization Method for Interrelation-based Analysis of Agriculture’s GHG Emissions and Agricultural Productivity in Asian Region Using the 5D World Map System
1. Spatiotemporal Visualization Method for Interrelation-based Analysis
of Agriculture’s GHG Emissions and Agricultural Productivity
in Asian Region Using the 5D World Map System
Ahmad Muzaffar bin Baharudin1, Siti Nor Khuzaimah binti Amit1, Shiori Sasaki2, Yasushi Kiyoki2
{muz, sitinork90}@z7.keio.jp; {sashiori, kiyoki}@sfc.keio.ac
1 Keio University, Graduate School of Science and Technology, JAPAN 2 Keio University, Graduate School of Media and Governance, JAPAN
1. Research Background
2. The 5D World Map System
3. Research Objective
4. Methodology & Procedure
8. References
Abstract
5. Spatiotemporal Visualization
6. Analysis of Results
7. Summary
Acknowledgement
Food and Agriculture Organization of the United Nations (FAO) has reported a dramatic increment of Greenhouse Gas (GHG) emissions
from agriculture activities. Conversely, the increment in GHG emissions induce climate change and eventually affect the agricultural
sustainability and food security. This work presents spatiotemporal visualization to analyze the interrelation between agriculture’s GHG
emissions and agricultural productivity in Asia by using the 5D World Map system. The capability of 5D World Map system as an
educational tool in climate knowledge-sharing system is demonstrated.
- Greenhouse Gas (GHG) emissions originated from agricultural activities
have increased approximately two times over the past five decades. [1]
- GHG emissions induced climate change and agriculture activity are
interrelated processes.
- A database system provides semantic, spatial and temporal analysis by
visualizing data on 5-dimensional historical atlas. [3]
- A capable tool for storing, organizing, visualizing and analyzing
information for cross-field educational purposes.
Statistic of world Agriculture’s
GHG emissions [2]
Average Agriculture’s GHG emissions
by continent from year 1963 to 2012
The concept of
interrelation
Data Search
Overview Data Upload Data Analysis
- To analyze the interrelation between GHG emissions and agricultural
productivity in Asian Region through spatiotemporal visualization method.
- To explore the application of 5D World Map System in real-world climate
change related issues.
Process data
Add metadata
Gather raw data
Visualize & analyze
- The sources of Carbon Dioxide (CO2) emissions are mainly from
cultivation of organic soils, meanwhile Methane (CH4) and Nitrous Oxide
(N2O) in Gigagram unit are from crop and livestock production and
management activities.
- The crops yield in Hg/Ha unit is the sum of total yields of cereals, coarse
grain, fruit, vegetables, pulses, roots and tubers, treenuts and rice.
CO2 Emission Crops YieldCH4 Emission N2O Emission
Upload into
5D World Map
- As an insight from these results, we classified these countries into 4 clusters:
- Clusters are considered according
to agricultural productivity and
GHG emissions trends as follows:
- The interrelation between GHG emissions and agricultural productivity in
Asian Region is spatiotemporally visualized using the 5D World Map
System and is explored as an educational tool in climate change issues.
[1] FAO: http://www.fao.org/news/story/en/item/216137/icode/
[2] FAO Statistics Division: http://faostat3.fao.org/home/E
[3] Shiori Sasaki, Yusuke Takahashi and Yasushi Kiyoki, "The 4D World Map
System with Semantic and Spatiotemporal Analyzers," Information Modelling
and Knowledge Bases, Vol.XXI, IOS Press, pp. 1 - 18, 2010
Time lapse visualization by year
This work was funded by Global Environmental Leaders Program (GESL) and
supported in part by MEXT Grant-in-Aid for the Program for Leading Graduate
Schools in Japan.
1963 1963 1963 1963
1993 1993 1993 1993
2013 2013 2013 2013
201319931963
Smallervalue
① ②
⑤ ④
③
Kind: ....
Category: ....
Location: ...
Date: ...
Description: ...
![Spatiotemporal Visualization Method for Interrelation-based Analysis
of Agriculture’s GHG Emissions and Agricultural Productivity
in Asian Region Using the 5D World Map System
Ahmad Muzaffar bin Baharudin1, Siti Nor Khuzaimah binti Amit1, Shiori Sasaki2, Yasushi Kiyoki2
{muz, sitinork90}@z7.keio.jp; {sashiori, kiyoki}@sfc.keio.ac
1 Keio University, Graduate School of Science and Technology, JAPAN 2 Keio University, Graduate School of Media and Governance, JAPAN
1. Research Background
2. The 5D World Map System
3. Research Objective
4. Methodology & Procedure
8. References
Abstract
5. Spatiotemporal Visualization
6. Analysis of Results
7. Summary
Acknowledgement
Food and Agriculture Organization of the United Nations (FAO) has reported a dramatic increment of Greenhouse Gas (GHG) emissions
from agriculture activities. Conversely, the increment in GHG emissions induce climate change and eventually affect the agricultural
sustainability and food security. This work presents spatiotemporal visualization to analyze the interrelation between agriculture’s GHG
emissions and agricultural productivity in Asia by using the 5D World Map system. The capability of 5D World Map system as an
educational tool in climate knowledge-sharing system is demonstrated.
- Greenhouse Gas (GHG) emissions originated from agricultural activities
have increased approximately two times over the past five decades. [1]
- GHG emissions induced climate change and agriculture activity are
interrelated processes.
- A database system provides semantic, spatial and temporal analysis by
visualizing data on 5-dimensional historical atlas. [3]
- A capable tool for storing, organizing, visualizing and analyzing
information for cross-field educational purposes.
Statistic of world Agriculture’s
GHG emissions [2]
Average Agriculture’s GHG emissions
by continent from year 1963 to 2012
The concept of
interrelation
Data Search
Overview Data Upload Data Analysis
- To analyze the interrelation between GHG emissions and agricultural
productivity in Asian Region through spatiotemporal visualization method.
- To explore the application of 5D World Map System in real-world climate
change related issues.
Process data
Add metadata
Gather raw data
Visualize & analyze
- The sources of Carbon Dioxide (CO2) emissions are mainly from
cultivation of organic soils, meanwhile Methane (CH4) and Nitrous Oxide
(N2O) in Gigagram unit are from crop and livestock production and
management activities.
- The crops yield in Hg/Ha unit is the sum of total yields of cereals, coarse
grain, fruit, vegetables, pulses, roots and tubers, treenuts and rice.
CO2 Emission Crops YieldCH4 Emission N2O Emission
Upload into
5D World Map
- As an insight from these results, we classified these countries into 4 clusters:
- Clusters are considered according
to agricultural productivity and
GHG emissions trends as follows:
- The interrelation between GHG emissions and agricultural productivity in
Asian Region is spatiotemporally visualized using the 5D World Map
System and is explored as an educational tool in climate change issues.
[1] FAO: http://www.fao.org/news/story/en/item/216137/icode/
[2] FAO Statistics Division: http://faostat3.fao.org/home/E
[3] Shiori Sasaki, Yusuke Takahashi and Yasushi Kiyoki, "The 4D World Map
System with Semantic and Spatiotemporal Analyzers," Information Modelling
and Knowledge Bases, Vol.XXI, IOS Press, pp. 1 - 18, 2010
Time lapse visualization by year
This work was funded by Global Environmental Leaders Program (GESL) and
supported in part by MEXT Grant-in-Aid for the Program for Leading Graduate
Schools in Japan.
1963 1963 1963 1963
1993 1993 1993 1993
2013 2013 2013 2013
201319931963
Smallervalue
① ②
⑤ ④
③
Kind: ....
Category: ....
Location: ...
Date: ...
Description: ...](https://image.slidesharecdn.com/posterdraftver3-150709065828-lva1-app6891/85/Poster-Spatiotemporal-Visualization-Method-for-Interrelation-based-Analysis-of-Agriculture-s-GHG-Emissions-and-Agricultural-Productivity-in-Asian-Region-Using-the-5D-World-Map-System-1-320.jpg)
