Esri
Internships
Geospatial Analysts
Solutions Engineers
Working experiments seem important when hunting a job in U.S.
Experience of Python, HTML, CSS, Flex are desirable.
START
http://www.start.umd.edu/start/about/startintro/
Most posts are unpaid.
University of Maryland - Facilities Management
Campus GIS Technician
There are no post for graduate student for now but they are planning to make one.
Friday, November 2, 2012
Wednesday, October 31, 2012
Obtaining Census Data from e-stat and converting them into UTF-8 encoding
Objective: To download data of census tracts of Japan from e-stat(Ministry of International Affairs and Communications, Japan) and to make usable on ArcGIS
1. Downloading Census DataGo to the website of Statistics Bureau, Ministry of Internal Affairs and Communications, Japan.
http://www.stat.go.jp/english/index.htm
http://www.e-stat.go.jp/SG1/estat/eStatTopPortal.do(In Japanese)
Downloading only works on Firefox or Safari (Not working on Chrome)
2. Converting the text encoding into UTF-8
All of the table files are encoded in SHIFT-JIS. You need to convert them into Unicode in order to be shown correctly. I wrote a shell script that can run on Mac.
In order to run the code on Macs, you need to run this.
% chmod+x CharConv.command
The shell script converts all tex file encoded as SHIFT-JIS into UTF-8 with file names starts from "utf8-".
3. Combining them into a single csv file
% cat *.txt > [filename]
Then it's good to be joined using the Keycodes.
1. Downloading Census DataGo to the website of Statistics Bureau, Ministry of Internal Affairs and Communications, Japan.
http://www.e-stat.go.jp/SG1/estat/eStatTopPortal.do(In Japanese)
Downloading only works on Firefox or Safari (Not working on Chrome)
2. Converting the text encoding into UTF-8
All of the table files are encoded in SHIFT-JIS. You need to convert them into Unicode in order to be shown correctly. I wrote a shell script that can run on Mac.
In order to run the code on Macs, you need to run this.
% chmod+x CharConv.command
The shell script converts all tex file encoded as SHIFT-JIS into UTF-8 with file names starts from "utf8-".
3. Combining them into a single csv file
% cat *.txt > [filename]
Then it's good to be joined using the Keycodes.
Sunday, July 1, 2012
Friday, June 15, 2012
Reviewing Cesium-137 deposition and contamination monitoring and simulation
Monitoring information of environmental radioactivity level
Results of Airborne Monitoring in Restricted Areas and Deliberate Evacuation Areashttp://radioactivity.mext.go.jp/en/contents/5000/4709/view.html
Data was corrected under the algorithm developed by DOM and the space interpolation was done by IDW.
Simulation
1. 福島第一原子力発電所事故に伴うCs137の大気降下状況の試算（平成23年9月6日）(Japanese Only)
http://www.aec.go.jp/jicst/NC/iinkai/teirei/siryo2011/siryo34/siryo2.pdf
2. Cesium-137 deposition and contamination of Japanese soils due to the Fukushima nuclear accident
Teppei J. Yasunari,1, Andreas Stohl, Ryugo S. Hayano, John F. Burkhart, Sabine Eckhardt, and Tetsuzo Yasunari
http://www.pnas.org/content/108/49/19530.fullPress Release (Japanese)
http://www.nagoya-u.ac.jp/research/pdf/activities/20111115_hyarc.pdf?20111119
we estimate total 137Cs deposition by integrating daily observations of 137Cs deposition in each prefecture in Japan with relative deposition distribution patterns from a Lagrangian particle dispersion model, FLEXPART.
About FLEXPART
The FLEXPART model is a Lagrangian Particle Dispersion Model developed at the Norwegian Institute for Air Research in the Department of Atmospheric and Climate Research. The model development team consists of Andreas Stohl (who originally wrote FLEXPART), Sabine Eckhardt, Harald Sodemann, and John Burkhart.
FLEXPART was forced with the European Center for Medium-Range Weather Forecasts (ECMWF) operational analysis data with a global resolution of 1° × 1° and 0.18° × 0.18° for 120–168 °E and 25–50 °N. The output had a resolution of 0.2° × 0.2° and was recorded every 3 h (SI Text).http://transport.nilu.no/flexpart
Inputs/Outputs
FLEXPART needs five three-dimensional fields: horizon- tal and vertical wind components, temperature and specific humidity.
FLEXPART also needs the two-dimensional fields: sur- face pressure, total cloud cover, 10 m horizontal wind components, 2 m temperature and dew point temperature, large scale and convective precipitation, sensible heat flux, east/west and north/south surface stress, topography, land- sea-mask and subgrid standard deviation of topography.
Tracer concentrations and/or mixing ratios (for forward runs), or emission sensitivity response functions (for back- ward runs) are calculated on a three-dimensional longitude- latitude grid, defined in file OUTGRID, whose domain and resolution can differ from the grid on which meteorological input data are given. Two-dimensional wet and dry deposi- tion fields are calculated over the same spatial domain, and tracer mass fluxes can also be determined on the 3-d grid.
There are several output options in FLEXPART, which can all be selected in file COMMAND. Gridded output fields can be concentrations (files grid_conc_date), volume mixing ratios (files grid_pptv_date), emission response sensi- tivity in backward simulations (files grid_time_date), or fluxes (files grid_flux_date, unit 10−12 kg m−2 s−1 for forward runs).
FLEXPART output files, except for dates, are all binary and often contain many grid cells with zero concentrations (or mixing ratios, fluxes, etc.).Stohl, A., Forster, C., Frank, A., Seibert, P., and Wotawa, G.: Technical note: The Lagrangian particle dispersion model FLEXPART version 6.2, Atmos. Chem. Phys., 5, 2461-2474, doi:10.5194/acp-5-2461-2005, 2005.
http://www.atmos-chem-phys.net/5/2461/2005/acp-5-2461-2005.html
3. 福島第一原子力発電所事故に由来する空間放射線量率の将来予測と野生生物への影響予測(Japanese only)
斎藤昌幸・土光智子・小池文人
http://vege1.kan.ynu.ac.jp/lab/nc/
Monday, February 27, 2012
Tsunami Modeling/Simulation List up for research about coastal forest
Installable Softwares
GeoClaw: a variant of Clawpack for geophysical flows
(Recently used for tsunami hazard assessment)
http://depts.washington.edu/clawpack/geoclaw/
http://www.amath.washington.edu/~dgeorge/tsunamimodeling.html
The MOST (Method of Splitting Tsunami) model from NOAA
http://nctr.pmel.noaa.gov/model.html
Studies
Imamura, F et.al.(2006)Tsunami Modelling Manual(TUNAMI model).
http://www.tsunami.civil.tohoku.ac.jp/hokusai3/J/projects/manual-ver-3.1.pdf
Rafi, Z. et.al.(2010)Numerical Modeling of Tsunami Inundation for Potential Earthquake at Makran Subduction Zone
http://www.pakmet.com.pk/tusanami.pdf
Setyonegoro, W.(2009)TSUNAMI NUMERICAL SIMULATION APPLIED TO TSUNAMI EARLY WARNING SYSTEM ALONG SUMATRA REGION. JICA Training Course 2009
http://www.seis.nagoya-u.ac.jp/kimata/jica/actionplan09/wiko.pdf
津波避難ビルや街区への津波荷重をシミュレーション BIMにも対応した流体解析ソフト「e-flow DX」（環境シミュレーション）
http://www.ieiri-lab.jp/success/2011/06/bime-flow-dx.html
document:
http://www.env-simulation.com/jp/wy_gal/sn_gal_9.pdf
References
津波シミュレーション動画の作成手順 静岡大学防災総合センター
http://www.jishin.go.jp/main/bosai/kyoiku-shien/10shizuoka/knowhow.pdf
岩手県地震・津波シミュレーション及び被害想定調査に関する報告書(概要版), 平成16年 岩手県
http://www.pref.iwate.jp/~hp010801/tsunami/yosokuzu/houkokusyo.pdf
YANAGISAWA, H, S KOSHIMURA, K GOTO, T MIYAGI, F IMAMURA, A RUANGRASSAMEE, and C TANAVUD. 2009. €œThe reduction effects of mangrove forest on a tsunami based on field surveys at Pakarang Cape, Thailand and numerical analysis.†Estuarine, Coastal and Shelf Science 81 (1) (January 1): 27-37. doi:10.1016/j.ecss.2008.10.001.
GeoClaw: a variant of Clawpack for geophysical flows
(Recently used for tsunami hazard assessment)
http://depts.washington.edu/clawpack/geoclaw/
http://www.amath.washington.edu/~dgeorge/tsunamimodeling.html
The MOST (Method of Splitting Tsunami) model from NOAA
http://nctr.pmel.noaa.gov/model.html
Studies
Imamura, F et.al.(2006)Tsunami Modelling Manual(TUNAMI model).
http://www.tsunami.civil.tohoku.ac.jp/hokusai3/J/projects/manual-ver-3.1.pdf
Rafi, Z. et.al.(2010)Numerical Modeling of Tsunami Inundation for Potential Earthquake at Makran Subduction Zone
http://www.pakmet.com.pk/tusanami.pdf
Setyonegoro, W.(2009)TSUNAMI NUMERICAL SIMULATION APPLIED TO TSUNAMI EARLY WARNING SYSTEM ALONG SUMATRA REGION. JICA Training Course 2009
http://www.seis.nagoya-u.ac.jp/kimata/jica/actionplan09/wiko.pdf
津波避難ビルや街区への津波荷重をシミュレーション BIMにも対応した流体解析ソフト「e-flow DX」（環境シミュレーション）
http://www.ieiri-lab.jp/success/2011/06/bime-flow-dx.html
document:
http://www.env-simulation.com/jp/wy_gal/sn_gal_9.pdf
References
津波シミュレーション動画の作成手順 静岡大学防災総合センター
http://www.jishin.go.jp/main/bosai/kyoiku-shien/10shizuoka/knowhow.pdf
岩手県地震・津波シミュレーション及び被害想定調査に関する報告書(概要版), 平成16年 岩手県
http://www.pref.iwate.jp/~hp010801/tsunami/yosokuzu/houkokusyo.pdf
YANAGISAWA, H, S KOSHIMURA, K GOTO, T MIYAGI, F IMAMURA, A RUANGRASSAMEE, and C TANAVUD. 2009. €œThe reduction effects of mangrove forest on a tsunami based on field surveys at Pakarang Cape, Thailand and numerical analysis.†Estuarine, Coastal and Shelf Science 81 (1) (January 1): 27-37. doi:10.1016/j.ecss.2008.10.001.
Tuesday, February 14, 2012
[Presentation]Using remote sensing to assess the damage mitigation effect of coastal forest in Sanriku coast and classification of the damage of coastal forest caused by the 2011 Tohoku Tsunami
Abstract:
Japan is an island nation surrounded by oceans. In order to protect inland area from coastal disasters caused by sea breezes, sand blow, high tides, and tsunamis, coastal forests are developed in large area. In Tohoku Region, a large area of coastal forests are suffered the great damage by 2011 Tohoku Tsunami. The purpose of the study is to assess the damage on coastal forest in Sanriku coast by using remote sensing with satellite images and aerial images and to assess the damage mitigation effect of coastal forest by using spatial analysis. The research method consists of a remote sensing method and a spatial analysis with DEM, polygon data of damaged building and field survey. The remote sensing analysis shows distribution and are of the classified damage on coastal forest by the comparison of NDVI between Pre- and Post- Tsunami satellite images followed by the detection of pixel change between Pre- and Post- Tsunami aerial images. By using GIS data, coastal forests in Sanriku coast are classified into expected damage mitigation effects by height, width, direction of shores, and distance from coastline. Damage mitigation effect of each coastal forests with classes are evaluated by analysis with data of building damage and tsunami reached line.
Abstract(Japanese):
四方を海に囲まれた日本の海岸では，海からの潮風・飛砂・高潮などによる災害から内陸部を守るため広い地域で人工の海岸林が造成されている．東北地方三陸海岸の海岸林は2011年3月11日に起きた東北地方太平洋沖地震の津波によって広範囲にわたって流出・倒伏した．本研究では海岸林の被害の把握と津波被害軽減効果の評価を目的とする．衛星画像と航空写真を元に，海岸林を被害の規模，樹木の倒伏方向，地形や海岸の向きなどで分類し，被害の実態を調査する．その後海岸からの津波の到達距離や付近の建築物の被害状況を分析することで津波被害軽減効果の評価を行う．以上により，海岸林の津波被害軽減の実績と海岸林そのものが受けた被害が明らかになることにより，期待される津波被害軽減効果の高さや造成の緊急性などの優先度を示すことができ，今後の防潮林政策における海岸林造成プロセスへの貢献が期待される．
Research Scheme:
Japan is an island nation surrounded by oceans. In order to protect inland area from coastal disasters caused by sea breezes, sand blow, high tides, and tsunamis, coastal forests are developed in large area. In Tohoku Region, a large area of coastal forests are suffered the great damage by 2011 Tohoku Tsunami. The purpose of the study is to assess the damage on coastal forest in Sanriku coast by using remote sensing with satellite images and aerial images and to assess the damage mitigation effect of coastal forest by using spatial analysis. The research method consists of a remote sensing method and a spatial analysis with DEM, polygon data of damaged building and field survey. The remote sensing analysis shows distribution and are of the classified damage on coastal forest by the comparison of NDVI between Pre- and Post- Tsunami satellite images followed by the detection of pixel change between Pre- and Post- Tsunami aerial images. By using GIS data, coastal forests in Sanriku coast are classified into expected damage mitigation effects by height, width, direction of shores, and distance from coastline. Damage mitigation effect of each coastal forests with classes are evaluated by analysis with data of building damage and tsunami reached line.
Abstract(Japanese):
四方を海に囲まれた日本の海岸では，海からの潮風・飛砂・高潮などによる災害から内陸部を守るため広い地域で人工の海岸林が造成されている．東北地方三陸海岸の海岸林は2011年3月11日に起きた東北地方太平洋沖地震の津波によって広範囲にわたって流出・倒伏した．本研究では海岸林の被害の把握と津波被害軽減効果の評価を目的とする．衛星画像と航空写真を元に，海岸林を被害の規模，樹木の倒伏方向，地形や海岸の向きなどで分類し，被害の実態を調査する．その後海岸からの津波の到達距離や付近の建築物の被害状況を分析することで津波被害軽減効果の評価を行う．以上により，海岸林の津波被害軽減の実績と海岸林そのものが受けた被害が明らかになることにより，期待される津波被害軽減効果の高さや造成の緊急性などの優先度を示すことができ，今後の防潮林政策における海岸林造成プロセスへの貢献が期待される．
Research Scheme:
Wordで空白ページを消したい時
環境: Microsoft Office Word 2008 for Mac
Menubar -> 書式 -> 文書のレイアウト -> セクションの開始位置
を『現在の位置から開始』に設定
Menubar -> 書式 -> 文書のレイアウト -> セクションの開始位置
を『現在の位置から開始』に設定
[Plan]Monitoring Recovery of Coastal Forest in Sanriku Coast, Japan
Theme:
Monitoring Recovery of Coastal Forest in Sanriku Coast, Japan
Period:
3 months
Background:
Japan is an island nation surrounded by oceans. In order to protect inland area from coastal disasters caused by sea breezes, sand blow, high tides, and tsunamis, coastal forests are developed in large area. In Tohoku Region, a large area of coastal forests are suffered the great damage by 2011 Tohoku Tsunami. As a reconstruction, coastal areas have been developed to coastal forests in order to protect inland region from coastal disaster. This research aims to review distribution of damage on coastal forests by 2011 Tohoku Tsunami and monitors both natural and man-made recovery using Remote Sensing.
Method:
By calculating NDVI ratio between pre-tsunami image and post-tsunami image, a distribution of damage and seriousness of damage are output.
By calculating NDVI ratio between post-tsunami image and one-year-after-tsunami image, a distribution of recovery is output.
Expected Result:
Recovery patterns of coastal forest are analyzed with recovery process of each forest and damage seriousness.
Monitoring Recovery of Coastal Forest in Sanriku Coast, Japan
Period:
3 months
Background:
Japan is an island nation surrounded by oceans. In order to protect inland area from coastal disasters caused by sea breezes, sand blow, high tides, and tsunamis, coastal forests are developed in large area. In Tohoku Region, a large area of coastal forests are suffered the great damage by 2011 Tohoku Tsunami. As a reconstruction, coastal areas have been developed to coastal forests in order to protect inland region from coastal disaster. This research aims to review distribution of damage on coastal forests by 2011 Tohoku Tsunami and monitors both natural and man-made recovery using Remote Sensing.
Method:
By calculating NDVI ratio between pre-tsunami image and post-tsunami image, a distribution of damage and seriousness of damage are output.
By calculating NDVI ratio between post-tsunami image and one-year-after-tsunami image, a distribution of recovery is output.
Expected Result:
Recovery patterns of coastal forest are analyzed with recovery process of each forest and damage seriousness.
Sunday, January 15, 2012
Statement of Purpose for graduate school ver.2012
Statement of Purpose (applied to the University of Maryland: Master of Professional Studies in Geospatial Information Sciences Program)
Satoshi Miyazawa
My purpose for undertaking graduate education is twofold.
First is to seek more chance to engage in projects for Global Resilience Development.
Second is to learn methodologies for Literacy Education and Data-Driven-Communication Development.
I spent most of my undergraduate semesters learning skills for programming and GIS analysis mainly under Prof. Fukui and Prof. Yan in Keio University SFC. Making meanings from a large amount of data was my core pleasure during I was a freshman. With my lab members, we assessed potential of generating electricity for civilian use in whole Japan combining data of insolation with land use data during my sophomore year. In my junior year, I also assessed risk of avalanche in major a mountainous district in Japan by setting up criteria using DEM and vegetation data and assessed validity by comparing with point data of avalanche stroke.
And then, I experienced the historic disaster: 2011 Tohoku Earthquake and Tsunami.
2011 Tohoku Earthquake and Tsunami caused a historic disaster to Japan. Not only the natural hazard itself was historic, but also the disaster pointed out a lot of critical problems as a developed nation.
Under that catastrophe, the volunteered GIS and Remote Sensing took a great contribution for disaster relief. A number of action from various societies have made such as sinsai.info(http://www.sinsai.info/) from Ushahidi, all311(http://all311.ecom-plat.jp/) from National Research Institute for Earth Science and Disaster Prevention, Japan Sendai Earthquake Data Portal(http://cegrp.cga.harvard.edu/japan/) from Harvard Center for Geographic Analysis, and Emergency Mapping Team(http://www.drs.dpri.kyoto-u.ac.jp/emt/en/). As one of my colleagues is from Kesennuma city, which suffered not only by tsunami, but also a large area of fire, with my lab members in my college, we started our action using GIS in April. We assessed the damage first by counting numbers and area of each houses that suffered inundation by using aerial photo which is shot and published by Ministry of Land, Infrastructure, Transport and Tourism(MLIT) and user-oriented data such as refuge report from volunteer. Thought aerial photos from MLIT are usually costs much, those have shot in March 2011 was published openly to incite every contribution for disaster relief. During the bustling days from unforgettable event, I deeply realized the importance of volunteered GIS and user-oriented data for developing resilience.
On the other hand, I witnessed a confusion of Japan about crisis response at the same time. Historically, in Japan, permission to publish critical information was restricted within selected national organization in order to maintain certainty of published reports and to avoid unwilling disorder. As a consequence, scientific society such as Meteorological Society of Japan had decided not to publish their domestic simulation result(Masuda. K http://d.hatena.ne.jp/masudako/20110715/1310732819/ in Japanese). I felt sorry for the lack of refinement of the adequate a relationship of mutual trust in the process of decision making.
At the same time, under disorder in March, There is no maps or visualization of data during press conferences of Cabinet Secretariat. In my opinion, not only the absence of Maps, but also insufficient communication was problematic Limited media of communication cause people who can comprehend limited. I think the society of GIS and society of data scientist, include myself, are responsible for improvement of communications in decision-making and education of literacy that decision-making and discussion in crisis must be under source validated.
I am sure that last 2011 is my life changing year as a Japanese student who is considering a mission for upcoming society. Soon after the disaster, I veered my field to engage toward damage estimation and support for disaster relief. In the following weeks, I decided my career as purchasing productivity and higher education for Geoinformatics.
The first thing we do for disaster relief is to assess the area of damaged houses. We chose Kesennuma city that suffered heavily not only by tsunami, but also a large area of fire on March 11 as our study area and counting numbers and area of damaged houses. As reviewing the result, we decided to offer a reconstruction plan include large-scale transfer of housing area for higher ground to the mayor of Kesennuma city. I individually take role of assessment of wind plan potential in Kesennuma city under the experience in sophomore year. The presentation was held in March at Kesennuma city and our plan was adapted partially in a reconstruction plan from Kesennuma city itself. Our projects continues and we are currently organizing maps that visualizing the plans in order to assess practicality and incite communication of residents in Kesennuma city.
(Our project website: http://kesennuma.sfc.keio.ac.jp/pjkesen/english/)
At the same time, I designed and conducted original research into assessment of tsunami damage mitigation effect of coastal forest under the guidance of Prof. Yan as my graduation thesis. By comparing ASTER VNIR images and aerial images, I categorized the damage on coastal forests and assessed the protection role against tsunami. Validation of the study was conducted by three times field survey in Tohoku Region in Japan. While the result seems to fit hypothesis, I gave a presentation of interim result at Kagoshima University during annual meeting of the Geographic Information System Association Japan (http://www.gisa-japan.org/eng/index.html).
Contribution to GIS education is also one of my main interests. Keio University SFC(Shonan Fujisawa Campus) offer a undergraduate student a part-time assistantship named “student assistant” for each lectures. One student in a semester who granted good degree in each lecture can be a assistant and get paid by supporting assignments whom students who took the lecture should complete. Especially As for a seminar, student assistants may organize syllabus of their projects in class. I have volunteered for three lectures(Theory of Earth System Design by Prof. Fukui, Spatial Analysis by Prof. Yan, and Data Analysis by Prof. Furutani) and two seminars(Prof. Fukui’s Lab and Prof. Yan’s Lab) and organize projects for each semesters.
By combining my experiences and awareness of issues, I am eager to develop my skills and experiences in order to make a contribution for Global Resilience Development and Literacy Education and Data-Driven-Communication Development.
I am planning to enter a Ph.D program in my further career. In order to build my own regimen, in University of Maryland, which is the leader of GIScience and Earth Observation, I want to sharpen my awareness of issues by engaging global projects with seminal contributions to development of cutting-edge education with the most intensive diligence.
Satoshi Miyazawa
My purpose for undertaking graduate education is twofold.
First is to seek more chance to engage in projects for Global Resilience Development.
Second is to learn methodologies for Literacy Education and Data-Driven-Communication Development.
I spent most of my undergraduate semesters learning skills for programming and GIS analysis mainly under Prof. Fukui and Prof. Yan in Keio University SFC. Making meanings from a large amount of data was my core pleasure during I was a freshman. With my lab members, we assessed potential of generating electricity for civilian use in whole Japan combining data of insolation with land use data during my sophomore year. In my junior year, I also assessed risk of avalanche in major a mountainous district in Japan by setting up criteria using DEM and vegetation data and assessed validity by comparing with point data of avalanche stroke.
And then, I experienced the historic disaster: 2011 Tohoku Earthquake and Tsunami.
2011 Tohoku Earthquake and Tsunami caused a historic disaster to Japan. Not only the natural hazard itself was historic, but also the disaster pointed out a lot of critical problems as a developed nation.
Under that catastrophe, the volunteered GIS and Remote Sensing took a great contribution for disaster relief. A number of action from various societies have made such as sinsai.info(http://www.sinsai.info/) from Ushahidi, all311(http://all311.ecom-plat.jp/) from National Research Institute for Earth Science and Disaster Prevention, Japan Sendai Earthquake Data Portal(http://cegrp.cga.harvard.edu/japan/) from Harvard Center for Geographic Analysis, and Emergency Mapping Team(http://www.drs.dpri.kyoto-u.ac.jp/emt/en/). As one of my colleagues is from Kesennuma city, which suffered not only by tsunami, but also a large area of fire, with my lab members in my college, we started our action using GIS in April. We assessed the damage first by counting numbers and area of each houses that suffered inundation by using aerial photo which is shot and published by Ministry of Land, Infrastructure, Transport and Tourism(MLIT) and user-oriented data such as refuge report from volunteer. Thought aerial photos from MLIT are usually costs much, those have shot in March 2011 was published openly to incite every contribution for disaster relief. During the bustling days from unforgettable event, I deeply realized the importance of volunteered GIS and user-oriented data for developing resilience.
On the other hand, I witnessed a confusion of Japan about crisis response at the same time. Historically, in Japan, permission to publish critical information was restricted within selected national organization in order to maintain certainty of published reports and to avoid unwilling disorder. As a consequence, scientific society such as Meteorological Society of Japan had decided not to publish their domestic simulation result(Masuda. K http://d.hatena.ne.jp/masudako/20110715/1310732819/ in Japanese). I felt sorry for the lack of refinement of the adequate a relationship of mutual trust in the process of decision making.
At the same time, under disorder in March, There is no maps or visualization of data during press conferences of Cabinet Secretariat. In my opinion, not only the absence of Maps, but also insufficient communication was problematic Limited media of communication cause people who can comprehend limited. I think the society of GIS and society of data scientist, include myself, are responsible for improvement of communications in decision-making and education of literacy that decision-making and discussion in crisis must be under source validated.
I am sure that last 2011 is my life changing year as a Japanese student who is considering a mission for upcoming society. Soon after the disaster, I veered my field to engage toward damage estimation and support for disaster relief. In the following weeks, I decided my career as purchasing productivity and higher education for Geoinformatics.
The first thing we do for disaster relief is to assess the area of damaged houses. We chose Kesennuma city that suffered heavily not only by tsunami, but also a large area of fire on March 11 as our study area and counting numbers and area of damaged houses. As reviewing the result, we decided to offer a reconstruction plan include large-scale transfer of housing area for higher ground to the mayor of Kesennuma city. I individually take role of assessment of wind plan potential in Kesennuma city under the experience in sophomore year. The presentation was held in March at Kesennuma city and our plan was adapted partially in a reconstruction plan from Kesennuma city itself. Our projects continues and we are currently organizing maps that visualizing the plans in order to assess practicality and incite communication of residents in Kesennuma city.
(Our project website: http://kesennuma.sfc.keio.ac.jp/pjkesen/english/)
At the same time, I designed and conducted original research into assessment of tsunami damage mitigation effect of coastal forest under the guidance of Prof. Yan as my graduation thesis. By comparing ASTER VNIR images and aerial images, I categorized the damage on coastal forests and assessed the protection role against tsunami. Validation of the study was conducted by three times field survey in Tohoku Region in Japan. While the result seems to fit hypothesis, I gave a presentation of interim result at Kagoshima University during annual meeting of the Geographic Information System Association Japan (http://www.gisa-japan.org/eng/index.html).
Contribution to GIS education is also one of my main interests. Keio University SFC(Shonan Fujisawa Campus) offer a undergraduate student a part-time assistantship named “student assistant” for each lectures. One student in a semester who granted good degree in each lecture can be a assistant and get paid by supporting assignments whom students who took the lecture should complete. Especially As for a seminar, student assistants may organize syllabus of their projects in class. I have volunteered for three lectures(Theory of Earth System Design by Prof. Fukui, Spatial Analysis by Prof. Yan, and Data Analysis by Prof. Furutani) and two seminars(Prof. Fukui’s Lab and Prof. Yan’s Lab) and organize projects for each semesters.
By combining my experiences and awareness of issues, I am eager to develop my skills and experiences in order to make a contribution for Global Resilience Development and Literacy Education and Data-Driven-Communication Development.
I am planning to enter a Ph.D program in my further career. In order to build my own regimen, in University of Maryland, which is the leader of GIScience and Earth Observation, I want to sharpen my awareness of issues by engaging global projects with seminal contributions to development of cutting-edge education with the most intensive diligence.
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