Upgrade to Pro
— share decks privately, control downloads, hide ads and more …
Speaker Deck
Features
Speaker Deck
PRO
Sign in
Sign up for free
Search
Search
市民安全(防災を含む)とドローン等の活用 | 日本市民安全学会 古橋講演資料
Search
furuhashlab
June 19, 2021
Research
1
130
市民安全(防災を含む)とドローン等の活用 | 日本市民安全学会 古橋講演資料
20210619 日本市民安全学会 古橋講演資料
© mapconcierge, CC BY-SA 4.0
furuhashlab
June 19, 2021
Tweet
Share
More Decks by furuhashlab
See All by furuhashlab
津田塾 地理情報システム入門2022 #02
furuhashilab
0
170
津田塾地理情報システム入門2022 #01
furuhashilab
0
210
空間情報システム入門I #06
furuhashilab
0
130
20220712_情報社会論 #13
furuhashilab
0
180
20220705_情報社会論 #12
furuhashilab
0
210
空間情報システム入門I #03
furuhashilab
0
170
20220628_情報社会論 #11
furuhashilab
0
220
空間情報システム入門I #02
furuhashilab
0
170
20220622_情報社会論 #10
furuhashilab
0
210
Other Decks in Research
See All in Research
電力システム最適化入門
mickey_kubo
1
780
SkySense : A Multi-Modal Remote Sensing Foundation Model Towards Universal Interpretation for Earth Observation Imagery
satai
3
290
EOGS: Gaussian Splatting for Efficient Satellite Image Photogrammetry
satai
4
370
CSP: Self-Supervised Contrastive Spatial Pre-Training for Geospatial-Visual Representations
satai
3
230
データxデジタルマップで拓く ミラノ発・地域共創最前線
mapconcierge4agu
0
200
データサイエンティストの就労意識~2015→2024 一般(個人)会員アンケートより
datascientistsociety
PRO
0
790
EarthMarker: A Visual Prompting Multimodal Large Language Model for Remote Sensing
satai
3
380
SSII2025 [TS3] 医工連携における画像情報学研究
ssii
PRO
2
1.2k
Towards a More Efficient Reasoning LLM: AIMO2 Solution Summary and Introduction to Fast-Math Models
analokmaus
2
680
データサイエンティストの採用に関するアンケート
datascientistsociety
PRO
0
1.1k
診断前の病歴テキストを対象としたLLMによるエンティティリンキング精度検証
hagino3000
1
120
一人称視点映像解析の最先端(MIRU2025 チュートリアル)
takumayagi
5
2.9k
Featured
See All Featured
JavaScript: Past, Present, and Future - NDC Porto 2020
reverentgeek
50
5.5k
Responsive Adventures: Dirty Tricks From The Dark Corners of Front-End
smashingmag
251
21k
Gamification - CAS2011
davidbonilla
81
5.4k
A designer walks into a library…
pauljervisheath
207
24k
Helping Users Find Their Own Way: Creating Modern Search Experiences
danielanewman
29
2.8k
Refactoring Trust on Your Teams (GOTO; Chicago 2020)
rmw
34
3.1k
The Myth of the Modular Monolith - Day 2 Keynote - Rails World 2024
eileencodes
26
3k
Creating an realtime collaboration tool: Agile Flush - .NET Oxford
marcduiker
30
2.2k
Cheating the UX When There Is Nothing More to Optimize - PixelPioneers
stephaniewalter
283
13k
For a Future-Friendly Web
brad_frost
179
9.9k
How To Stay Up To Date on Web Technology
chriscoyier
790
250k
Producing Creativity
orderedlist
PRO
346
40k
Transcript
ຊࢢຽ҆શֶձߨԋ ࢢຽ҆શ ࡂΛؚΉ ͱυϩʔϯͷ׆༻ ࣗ ࣏ ମ ͱ ͷ ࡂ
ڠ ఆ ͱ * $ 5 Ϙ ϥ ϯ ς Ο Ξ ׆ ಈ ݹڮେ ੨ࢁֶӃେֶ /10๏ਓ$SJTJT.BQQFST+"1"/ NBQPDPODJFSHF $$#:4"
ݹڮେ5BJDIJ'636)"4)* !NBQDPODJFSHF
None
ਤ
ਤ υϩʔϯඈͤΔ
None
࠷ઌͷٕज़Λ ͲͷΑ͏ʹ ࣾձ࣮͍͔ͯ͘͠ ߦಈͰ͖Δਓࡐҭɻ
OpenStreetMap
None
None
The Free Wiki World Map
7.6M Num. of Unique OSM User Accounts
7,649,486 mappers in the world ( 2021/6/10 ) http://osmstats.neis-one.org/
ਤͷຽओԽ
$SJTJT.BQQJOH Y 7(*7PMVOUFFSFE (FPHSBQIJD*OGPSNBUJPO (PPEDIJME +FTTJDB)FJO[FMNBO
h tt p://vimeo.com/9182869
None
b y m a p c o n c i
e rg e Before
b y m a p c o n c i
e rg e After
b y m a p c o n c i
e rg e Plotting a lot of Evacuation shelters
4BUFMMJUFJNBHFT "FSJBM1IPUPT 1MBOF%SPOF 1BQFSNBQT POMZPQFODPOUFOUT (142;44 Sources
CZ!NBQDPODJFSHF !5PN@(9BOE04.DPODUJCVUPST sinsai.info Project ex. 2011.3.11 in Japan
23 h tt ps://izuoshima26.crowdmap.com/
None
Photo by Noriyuki Hayashi
IUUQXXXDBTHPKQKQIPVEPVQEGDIJ[VQEG Damaged Map 5ZQIPPO:PMBOEB)BJZBO
CZ!NBQDPODJFSHF !5PN@(9BOE04.DPODUJCVUPST
CZ!NBQDPODJFSHF !5PN@(9BOE04.DPODUJCVUPST
CZ!NBQDPODJFSHF !5PN@(9BOE04.DPODUJCVUPST IUUQXXXFDPOPNJTUDPNOFXTJOUFSOBUJPOBMSJDIDPVOUSJFTBSFEFMVHFEEBUBEFWFMPQJOHPOFTBSFTV ff FSJOHESPVHIU
CZ!NBQDPODJFSHF !5PN@(9BOE04.DPODUJCVUPST IUUQXXXFDPOPNJTUDPNOFXTJOUFSOBUJPOBMSJDIDPVOUSJFTBSFEFMVHFEEBUBEFWFMPQJOHPOFTBSFTV ff FSJOHESPVHIU
IUUQPTNUPXOTFOEKFOOJOHTDPNOFQBM OpenStreetMap response to the April 25 Earthquake in Nepal
IUUQQJFS[FOEFWPQFOTUSFFUNBQPSHIPUMFB fl FU04.$PNQBSFCFGPSFBGUFSIUNM
IUUQUBTLTIPUPTNPSHQSPKFDU ۽ຊ ӹொΫϥΠγεϚοϐϯάλεΫ
ൃࡂલ
ൃࡂޙ
Ѩોେڮपลͷ࠭ࡂ IUUQXXXPQFOTUSFFUNBQPSHFEJU FEJUPSJENBQ
՝ɺൃࡂޙͷ ਝͳߤۭࣸਅͷೖखɻ
None
https://youtu.be/Vu6a3DXZ1IM
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
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
None
࣌Ͱͷ՝ υϩʔϯࡂڠఆ͕ ेʹ ਁಁ͍ͯ͠ͳ͔ͬͨɻ
ࣄલͷࡂڠఆక͕݁ ਝͳۭࡱͱ ࣏ࣗମ࿈ܞʹͭͳ͕Δɻ
None
None
/10৫ͱͯ͠ ࣏ࣗମͱࡂڠఆక݁ ݄ݱࡏ https://github.com/crisismappersjapan/agreement4dronebird_CMJxLGOV
શࠃ࣏ࣗମͱࡂڠఆక݁ʢ݄ݱࡏʣ https://github.com/crisismappersjapan/agreement4dronebird_CMJxLGOV
෩߸ ߸ඃࡂͰ ฏํΩϩΛۭࡱɻ
ɹ© DRONEBIRD/CrisisMappers Japan, CC BY 4.0 https://github.com/dronebird/oam_kanagawa20191014sagamihara00 ૬ݪࢢ۠ ݄
ɹ© DRONEBIRD/CrisisMappers Japan, CC BY 4.0 https://github.com/dronebird?q=kimitsu ܅ࢢ ݄
https://github.com/dronebird/oam_tokyo20191020chofukomae01
IUUQTIHJTQSFGNJZB[BLJMHKQIJOBUBIJOBUBIUNM7RJO;[[W( ௐࢢɾࠏߐࢢ ݄
υϩʔϯࡂڠఆ ͕͍ͬͯΔɻ
૯লফி ஂମͱࡂڠఆక݁ ݄݄ http://www.fdma.go.jp/neuter/topics/ fi ledList5_5_3/kyoteisyo.pdf
૯লফி http://www.fdma.go.jp/neuter/topics/ fi ledList5_5_3/kyoteisyo.pdf
+6*%" ձһສਓҎ্ ্ࣗӴୂͱࡂڠఆక݁ ݄
ຊશࠃͰҎ্ͷࡂ ڠఆɺສਓͷυϩʔ ϯૢॎ͕࢜ϙςϯγϟϧ ͱͯ͠ଘࡏ͢Δɻ
ຊʹػೳ͍ͯ͠Δ͔ʁ
̑ͭͷൺֱཁૉ ̍ʣൃࡂޙͷॳಈஅ ̎ʣࡂ࣌ͷ׆ಈඅ༻ෛ୲ऀ ̏ʣऩूͨ͠ใͷϥΠηϯε ̐ʣݸਓใอޢʹؔ͢ΔରԠ ̑ʣࡂ࣌ͷྫ֎ద༻ࣄલҕୗ ߤۭ๏ୈͷ ߤۭ๏ࢪߦنଇୈͷ
ߤۭ๏ࢪߦنଇୈͷ
ࢢຽࢀՃܕ7(*ͷ߹ ̍ʣൃࡂޙͷॳಈஅɿࢧԉஂମ ̎ʣࡂ࣌ͷ׆ಈඅ༻ෛ୲ऀɿࢧԉஂମ ̏ʣऩूͨ͠ใͷϥΠηϯεɿࢧԉஂମ͕Φʔϓ ϯσʔλͱͯ͠ެ։ ̐ʣݸਓใอޢʹؔ͢ΔରԠɿϓϥΠόγʔʹ ྀͨ͠ࡱӨํ๏ ̑ʣࡂ࣌ͷྫ֎ద༻ࣄલҕୗɿ͋Γ
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 ߤ੍ۭνʔϜʹ ஔ͖͢ʁ جૅ࣏ࣗମࡂରࡦຊ෦ ࡂ࣌ͷແਓߤۭػߤ੍ۭ৫ύλʔϯ ࡂ ڠ ఆ క ݁ جૅ࣏ࣗମࡂରࡦຊ෦
౦ژϞσϧҊ ౦ژி ࡂରࡦຊ෦ ߤ੍ۭνʔϜ ࣗӴୂ ܯ ফ ϘϥϯςΟΞ ݱ
Ͱ ใ ڞ ༗ ্ ࣗ Ӵ ୂ Ϧ Τ κ ϯ Φ ϑ Ο α ʔ -0 ϝϯόʔΛ໊̍ ߤ੍ۭνʔϜʹ ஔ جૅ࣏ࣗମࡂରࡦຊ෦ ࡂ࣌ͷແਓߤۭػߤ੍ۭ৫ύλʔϯ ࡂ ڠ ఆ క ݁ جૅ࣏ࣗମࡂରࡦຊ෦
Ҏ߱ͷ՝ ࣮ޮੑͷ͋Δࡂڠఆͷ֦ॆ جૅ࣏ࣗମʴಓݝͷೋஈߏ͑ͷࡂڠఆ ൃࡂલʹൃணॴͷ֬อ ൃࡂޙͷಓݝிߤ੍ۭͱ࿈ܞ ϘϥϯςΟΞࢀՃऀͷอݥอো੍ ʢߤۭ๏ୈͷͷద༻Λड͚ແਓߤۭػΛඈߦͤ͞Δ߹ͷӡ༻ΨΠυϥΠϯ९कʣ
None
ɹ า ͚ า ͚ɺ ଓ ͚Δ ͜ ͱ ͷ
େ ͞ ɻ “ Just keep walking, persistence paid off ” by Tadataka INO
Ұԯ૯ҏೳԽ
Happy Mapping!! Taichi FURUHASHI @mapconcierge