Upgrade to Pro
— share decks privately, control downloads, hide ads and more …
Speaker Deck
Sign up for free
Menu
Search
Features
All features
Private URLs
Password Protection
Custom URLS
Scheduled publishing
Remove Branding
Restrict embedding
Deck Collections
Notes
Features
All features
Private URLs
Password Protection
Custom URLS
Scheduled publishing
Remove Branding
Restrict embedding
Deck Collections
Notes
Explore
Featured decks
Featured speakers
Programming
Technology
Storyboards
Explore
Featured decks
Featured speakers
Programming
Technology
Storyboards
Pricing
Search
Sign in
Sign up for free
20200221_自治体とのドローンに関する 災害協定の実効性と課題
Search
Taichi FURUHASHI
February 21, 2020
Science
290
2
Share
Embed
Copy iframe code
Copy JS code
Copy link
Start on current slide
20200221_自治体とのドローンに関する 災害協定の実効性と課題
京都大学防災研究所 研究発表大会 E29 古橋発表
© mapconcierge, CC BY-SA 4.0
Taichi FURUHASHI
February 21, 2020
More Decks by Taichi FURUHASHI
See All by Taichi FURUHASHI
20201127_ジオ展2020_古橋
mapconcierge
0
190
20201126_お茶の水女子大学環境地理学基礎演習02
mapconcierge
0
200
20201119_お茶の水女子大学環境地理学基礎演習01
mapconcierge
1
240
ICT東京フォーラム2020「災害におけるドローンの活用」古橋
mapconcierge
0
340
The Past, Present, and Future of OpenStreetMap Japan 〜 一億総伊能化は実現できるのか 〜
mapconcierge
0
210
オンライン授業前提社会におけるGIS教育手法の検討と実践
mapconcierge
0
110
青学 地球共生学2020 古橋担当回
mapconcierge
0
120
情報社会論 #11
mapconcierge
0
230
20200708_GSC_地球共生学_lite.pdf
mapconcierge
0
530
Other Decks in Science
See All in Science
Where does the rigor go? Research software and the future of trustworthy science.
arfon
0
240
ゲームと人工知能
miyayou
0
190
データベース11: 正規化(1/2) - 望ましくない関係スキーマ
trycycle
PRO
0
1.7k
(CVPR2026) Back to Basics: Let Denoising Generative Models Denoise
shumpei777
0
350
J-STAGE全文XML登載必須化について
xspa2012
0
1.5k
AI(人工知能)の過去・現在・未来 ~AIは人類を越えるのか~
tagtag
PRO
0
160
Toward Causal Scientific Discovery with AI
sshimizu2006
0
180
バランスって大事だね
akasan
1
140
Does the Efficient Compute Frontier Represent New Physics?
drqz
0
120
[TMLR 2026, Featured Certification] Double Bounded α-Divergence Optimization for Density Estimation
gkazunii
1
120
ハミルトン・ヤコビ方程式の解の性質と物理的意味
enakai00
0
900
データベース02: データベースの概念
trycycle
PRO
2
1.4k
Featured
See All Featured
Navigating Algorithm Shifts & AI Overviews - #SMXNext
aleyda
1
1.6k
Sharpening the Axe: The Primacy of Toolmaking
bcantrill
46
3k
Designing for humans not robots
tammielis
254
26k
We Analyzed 250 Million AI Search Results: Here's What I Found
joshbly
1
1.9k
How to Talk to Developers About Accessibility
jct
2
550
Ten Tips & Tricks for a 🌱 transition
stuffmc
1
230
The innovator’s Mindset - Leading Through an Era of Exponential Change - McGill University 2025
jdejongh
PRO
1
330
Joys of Absence: A Defence of Solitary Play
codingconduct
1
520
技術選定の審美眼(2025年版) / Understanding the Spiral of Technologies 2025 edition
twada
PRO
120
120k
SERP Conf. Vienna - Web Accessibility: Optimizing for Inclusivity and SEO
sarafernandez
2
1.6k
ラッコキーワード サービス紹介資料
rakko
1
4.9M
Game over? The fight for quality and originality in the time of robots
wayneb77
1
280
Transcript
ژେֶࡂݚڀॴݚڀൃදߨԋձ ࣏ࣗମͱͷυϩʔϯʹؔ͢Δ ࡂڠఆͷ࣮ޮੑͱ՝ ʓݹڮେɾാࢁຬଇ ژେֶࡂݚڀॴ$SJTJT.BQQFST+"1"/ NBQPDPODJFSHF $$#:4"
$SJTJT.BQQJOH Y 7(*7PMVOUFFSFE (FPHSBQIJD*OGPSNBUJPO (PPEDIJME +FTTJDB)FJO[FMNBO
b y m a p c o n c i
e r g e b y m a p c o n c i e r g e http://vimeo.com/9182869
None
b y m a p c o n c i
e r g e b y m a p c o n c i e r g e Before
b y m a p c o n c i
e r g e b y m a p c o n c i e r g e After
b y m a p c o n c i
e r g e b y m a p c o n c i e r g e Plotting a lot of Evacuation shelters
4BUFMMJUFJNBHFT "FSJBM1IPUPT 1MBOF%SPOF 1BQFSNBQT POMZPQFODPOUFOUT (142;44 Sources
IUUQUBTLTIPUPTNPSHQSPKFDU ۽ຊ ӹொΫϥΠγεϚοϐϯάλεΫ
ൃࡂલ
ൃࡂޙ
Ѩોେڮपลͷ࠭ࡂ IUUQXXXPQFOTUSFFUNBQPSHFEJU FEJUPSJENBQ
՝ɺൃࡂޙͷ ਝͳߤۭࣸਅͷೖखɻ
None
IUUQSFTVMUNBQTOFJTPOFPSHPPPD [PPNMBUMPOMBZFST#5''5 Active mappers in Tokyo area
IUUQSFTVMUNBQTOFJTPOFPSHPPPD [PPNMBUMPOMBZFST#5''5 Active mappers in Tokyo area
IUUQSFTVMUNBQTOFJTPOFPSHPPPD [PPNMBUMPOMBZFST#5''5 Active mappers in Tokyo area
IUUQSFTVMUNBQTOFJTPOFPSHPPPD [PPNMBUMPOMBZFST#5''5 Active mappers in Tokyo area
IUUQSFTVMUNBQTOFJTPOFPSHPPPD [PPNMBUMPOMBZFST#5''5 Active mappers in Tokyo area
IUUQTHJUIVCDPNESPOFCJSEPBN@PLBZBNBNBCJ
IUUQTXXXPQFOTUSFFUNBQPSHFEJUNBQ
None
None
OpenStreetMap map.openaerialmap.org osm.org
OpenStreetMap www.geospatial.jp map.openaerialmap.org osm.org
OpenStreetMap www.geospatial.jp github.com/dronebird map.openaerialmap.org osm.org
OpenStreetMap www.geospatial.jp github.com/dronebird map.openaerialmap.org osm.org
063(0"- IPVST ʢൃࡂޙʣ
ߤۭࣸਅͷຽओԽ
None
࣌Ͱͷ՝ υϩʔϯࡂڠఆ͕ ेʹ ਁಁ͍ͯ͠ͳ͔ͬͨɻ
ࣄલͷࡂڠఆక͕݁ ਝͳۭࡱͱ ࣏ࣗମ࿈ܞʹͭͳ͕Δɻ
None
/10৫ͱͯ͠ ࣏ࣗମͱࡂڠఆక݁ ݄ݱࡏ
શࠃ࣏ࣗମͱࡂڠఆక݁ʢ݄ݱࡏʣ
෩߸ ߸ඃࡂͰ ฏํΩϩΛۭࡱɻ
None
૯লফி ஂମͱࡂڠఆక݁ ݄݄
+6*%" ձһສਓҎ্ ্ࣗӴୂͱࡂڠఆక݁ ݄
ຊશࠃͰҎ্ͷࡂ ڠఆɺສਓͷυϩʔ ϯૢॎ͕࢜ϙςϯγϟϧ ͱͯ͠ଘࡏ͢Δɻ
ຊʹػೳ͍ͯ͠Δ͔ʁ
̑ͭͷൺֱཁૉ ̍ʣൃࡂޙͷॳಈஅ ̎ʣࡂ࣌ͷ׆ಈඅ༻ෛ୲ऀ ̏ʣऩूͨ͠ใͷϥΠηϯε ̐ʣݸਓใอޢʹؔ͢ΔରԠ ̑ʣࡂ࣌ͷྫ֎ద༻ࣄલҕୗ ߤۭ๏ࢪߦنଇ̎̏̒ͷ̓
Ұൠతͳࡂڠఆͷ߹ ̍ʣൃࡂޙͷॳಈஅɿ࣏ࣗମ ̎ʣࡂ࣌ͷ׆ಈඅ༻ෛ୲ऀɿ࣏ࣗମ ̏ʣऩूͨ͠ใͷϥΠηϯεɿ࣏ࣗମ͕ ஶ࡞ݖऀɻͱͯ͠ೲɻ ̐ʣݸਓใอޢʹؔ͢ΔରԠɿݸਓใ ʹ৮͢Δߴղೳө૾ɻ ̑ʣࡂ࣌ͷྫ֎ద༻ࣄલҕୗɿ͋Γ
ࢢຽࢀՃܕ7(*ͷ߹ ̍ʣൃࡂޙͷॳಈஅɿࢧԉஂମ ̎ʣࡂ࣌ͷ׆ಈඅ༻ෛ୲ऀɿࢧԉஂମ ̏ʣऩूͨ͠ใͷϥΠηϯεɿࢧԉஂମ ͕Φʔϓϯσʔλͱͯ͠ެ։ ̐ʣݸਓใอޢʹؔ͢ΔରԠɿϓϥΠό γʔʹྀͨ͠ࡱӨํ๏ ̑ʣࡂ࣌ͷྫ֎ద༻ࣄલҕୗɿ͋Γ
Ͱͷ՝ ࣮ޮੑͷ͋Δࡂڠఆͷ֦ॆ ݸਓใʹྀͨ͠ࡱӨํ๏ͷීٴ ਝͳΦʔϓϯσʔλԽͷҰൠԽ ҬΛΧόʔͰ͖Δݻఆཌྷ750-ػͷීٴ ྡ͢Δ࣏ࣗମಉ࢜ͷࡂڠఆ࿈ܞ
ࠓ·Ͱͷ׆ಈͰ Θ͔ͬͨ͜ͱᶃ ൃࡂ࣌ɺ࣌ؒҎʹ࣏ࣗମ͔Β υϩʔϯۭࡱͷґཔཁ͢Δ͜ͱ ͍͠ɻࣗओతͳஅͰͷۭࡱ Λߦͬͯ࣌ؒҎͷσʔλఏڙ ࣮ݱͰ͖ͨɻʢେࢢϞσϧʣ
ࠓ·Ͱͷ׆ಈͰ Θ͔ͬͨ͜ͱᶄ ඃࡂͰͷۭࡱͰυϩʔϯͷൃ ணॴͷ֬อ͕࠷ϦιʔεΛׂ ͘ɻൃࡂલͷൃணॴ֬อΛج ૅ࣏ࣗମٴͼಓݝͱࣄલௐ ͢Δ͜ͱ͕ɺ࡞ۀޮΛߴΊΔɻ
ࠓ·Ͱͷ׆ಈͰ Θ͔ͬͨ͜ͱᶅ ඃࡂͰͷߤ੍ۭɺࡂରࡦ ຊ෦͕ઃஔ͞ΕΔಓݝிͰ ࣮ࢪ͠ɺϘϥϯςΟΞஂମͦͷ ԼʹͿΒԼ͕Δ͜ͱͰࣗӴୂɺ ܯɺফͱͷௐ͕εϜʔζʹ ͳΔɻʢਆಸݝϞσϧʣ
ਆಸݝϞσϧ ਆಸݝி ࡂରࡦຊ෦ ߤ੍ۭνʔϜ ࣗӴୂ ܯ ফ ϘϥϯςΟΞ ݱ
Ͱ ใ ڞ ༗ ্ ࣗ Ӵ ୂ Ϧ Τ κ ϯ Φ ϑ Ο α ʔ -0 ࠓޙϝϯόʔΛ໊̍ ϦΤκϯΦϑΟεʹ ஔ͖͢ʁ جૅ࣏ࣗମࡂରࡦຊ෦ ࡂ࣌ͷແਓߤۭػߤ੍ۭ৫ύλʔϯ ࡂ ڠ ఆ క ݁ جૅ࣏ࣗମࡂରࡦຊ෦
ࠓޙͷ՝ ࣮ޮੑͷ͋Δࡂڠఆͷ֦ॆ جૅ࣏ࣗମʴಓݝͷೋஈߏ͑ͷڠఆ ൃࡂલʹൃணॴͷ֬อ ൃࡂޙͷಓݝிߤ੍ۭͱ࿈ܞ ϘϥϯςΟΞࢀՃऀͷอݥอো੍
Happy Mapping!! Taichi FURUHASHI @mapconcierge