S-DoT — Smart Seoul Data of Things Sensor Network

🤖 AI-generated summary of the sources below · 🔎 Last verified · ◆ 7 sourced claims, none individually verified yet

This overview was generated with AI from the public sources listed below and checked against them before publication. It has not had a complete human fact-check — treat it as a starting point and follow the sources.

How this atlas is made · What “last verified” means · What “source-checked” means · The full record behind this page

✎ Updated 26 Aug 2026 7 claims added. What changed →

S-DoT is a citywide IoT network of about 1,100 monitoring stations across Seoul's streets, mountains and riversides recording 17 types of urban-environment data — temperature, humidity, illuminance, noise and fine particulate matter — every two minutes. The city uses the feeds for data-based policy and streams readings to residents through the Smart Seoul Map; a peer-reviewed quality-management study documents the network's operation.

Live 📅 since 2019
Evidence🔬 Peer-reviewed
what does this mean?The strongest source behind this entry is an independent peer-reviewed or academic study. It grades who did the looking — not how well the project went. All four grades →
Scale🏙️ City-wide

🎓 Lesson

Density and accuracy are different purchases. Seoul has exactly one national reference station inside the city, and S-DoT gives it a 0.75 km grid against the 4.5 km of the national automated network — that is the gain, and it is real. What it does not give is agreement: nine stations in ten read warmer than the reference on both the hot and the cold sampled day, one in five readings is missing at a typical station, and two dozen boxes are bolted to sunlit walls. The paper's answer is not to distrust the network but to build a quality-management system for it. A cheap sensor network is an instrument that needs a second instrument.

Sources

↗ Seoul Metropolitan Government (authority)Published 3 June 20211,100 sensors, 17 data types every 2 minutes, public release, Smart Seoul Map streaming.
↗ MDPI Sensors 23(5):2384, 2023 (peer-reviewed)Published 21 February 2023Peer-reviewed quality-management study of the S-DoT network: 850 stations installed in 2019 and 220 in 2020, a 0.75 km horizontal resolution against 4.5 km for the national automated network, and only one ASOS station in Seoul. Carries the warm-bias percentages for the sampled heatwave and coldwave days, the missing-data ratios, and the finding on wall-mounted sensor boxes. MDPI blocks retrieval; the full text was read through the Europe PMC mirror of the same article (PMC10037411).
↗ Seoul Metropolitan Government IoT policy (authority)Published 31 May 2025S-DoT scale and role within Seoul's smart-city IoT strategy; Open Data Plaza access.

📅 How old is the evidence?

Two clocks, kept apart: when this entry’s sources were published, and what has happened to its record in the atlas. Documented span: since 2019. 3 of 3 sources carry a publication date, from 3 June 2021 to 31 May 2025.

When the sources were published

  1. Seoul Metropolitan Government · city governmentSeoul Metropolitan Government (authority)
  2. MDPI · researchMDPI Sensors 23(5):2384, 2023 (peer-reviewed)
  3. Seoul Metropolitan Government IoT policy · city governmentSeoul Metropolitan Government IoT policy (authority)

Every source, with links ↑

What happened to this record

  1. Sources last read
  2. Entered the record
  3. 7 claims added

Every revision, permanent →

Show your work What this page rests on and what it can’t tell you · all 7 claims with their sources · the forensic record

Evidence Passport · public beta 7 addressable claims, 3 source dossiers, one permanent baseline. The passport is unreviewed — an AI-assisted structural migration, not a human or expert endorsement. Every revision keeps a permanent copy under revision history.

Inspect the claims, one by one — verbatim text, sources and caveats for all 7

The text below is copied verbatim from the published record. Each claim names the source dossiers that carry it; caveats stay attached to the claim they qualify.

Claim 1 clm-7eebb44ef7df09a8 quantitative
S-DoT is a citywide IoT network of about 1,100 monitoring stations across Seoul's streets, mountains and riversides recording 17 types of urban-environment data — temperature, humidity, illuminance, noise and fine particulate matter — every two minutes
Published field
snippet · verbatim
Mapping
mapped · no interpretation or interpolation added by this passport
What the mapping says
The city's own announcement describes 1,100 sensors in downtown areas, mountains and riversides collecting 17 kinds of urban data every two minutes, and names these variables.
Caveat
No claim-specific caveat recorded

Sources carrying this claim

  1. Seoul Metropolitan Government (authority)
Claim 2 clm-65cab3bcf0a65047 descriptive
The city uses the feeds for data-based policy and streams readings to residents through the Smart Seoul Map
Published field
snippet · verbatim
Mapping
mapped · no interpretation or interpolation added by this passport
What the mapping says
The city states that S-DoT data is provided to residents as real-time urban living-environment information on the Smart Seoul Map; the IoT policy page places the network within the city's smart-city strategy.
Caveat
No claim-specific caveat recorded

Sources carrying this claim

  1. Seoul Metropolitan Government (authority)
  2. Seoul Metropolitan Government IoT policy (authority)
Claim 3 clm-0441e00399c732a9 quantitative
on the sampled heatwave day 89% of S-DoT stations recorded a higher daily mean temperature, on the coldwave day 91%
Published field
impact · verbatim
Mapping
mapped · no interpretation or interpolation added by this passport
What the mapping says
The study reports 89% of stations above the ASOS daily mean on the heatwave event day and 91% on the coldwave event day.
Caveat
No claim-specific caveat recorded

Sources carrying this claim

  1. MDPI Sensors 23(5):2384, 2023 (peer-reviewed)
Claim 4 clm-86445c92648bc757 quantitative
missing ratios 'at most stations fell within the range of 10-20%', reaching up to 80% in April 2021
Published field
impact · verbatim
Mapping
mapped · no interpretation or interpolation added by this passport
What the mapping says
The study states both the typical missing range and the April 2021 peak.
Caveat
No claim-specific caveat recorded

Sources carrying this claim

  1. MDPI Sensors 23(5):2384, 2023 (peer-reviewed)
Claim 5 clm-63ad15b237c1c6f1 quantitative
of the downtown stations, 25 are mounted on building walls, and the study finds that 'the sensors installed on the wall could not represent the surrounding areas', because sunlight heats the wall and the wall heats the sensor
Published field
impact · verbatim
Mapping
mapped · no interpretation or interpolation added by this passport
What the mapping says
The study's table of surrounding environments counts 25 of the downtown stations as wall-mounted, and the text explains the conduction mechanism behind their extreme readings.
Caveat
No claim-specific caveat recorded

Sources carrying this claim

  1. MDPI Sensors 23(5):2384, 2023 (peer-reviewed)
Claim 6 clm-ff9851d9b0f08a6a quantitative
Seoul has exactly one national reference station inside the city, and S-DoT gives it a 0.75 km grid against the 4.5 km of the national automated network
Published field
lesson · verbatim
Mapping
mapped · no interpretation or interpolation added by this passport
What the mapping says
The study states the network's 0.75 km horizontal resolution against 4.5 km for the national automated weather system, and that there is only one ASOS station in Seoul.
Caveat
No claim-specific caveat recorded

Sources carrying this claim

  1. MDPI Sensors 23(5):2384, 2023 (peer-reviewed)
Claim 7 clm-4e79f639c3f65535 descriptive
The paper's answer is not to distrust the network but to build a quality-management system for it
Published field
lesson · verbatim
Mapping
mapped · no interpretation or interpolation added by this passport
What the mapping says
The study develops a quality-management system for the network comprising pre-processing, basic and extended quality control and spatial gap-filling.
Caveat
No claim-specific caveat recorded

Sources carrying this claim

  1. MDPI Sensors 23(5):2384, 2023 (peer-reviewed)
Forensic record — source dossiers, gaps, hashes and the exact revision this page renders

This layer records what is known about each source, what is still missing, and the exact snapshot this page is rendering. A missing date, archive or hash stays visible as missing.

unreviewed Revision 2026-08-26-claim-mapping effective 2026-07-21 · created 2026-08-26

Awaiting operator and domain-expert review; publication of this revision implies neither.

sha256:ba92e494c08f6f41af9246886fe07629731b9f55b1206010ed27e4a60eeeaba4
7
of 7 claims mapped
3
source dossiers
3
publication dates recorded
0
archives linked
0
exact locators
0
content captures hashed

Governance facts carried by the record

Operator
Seoul Metropolitan Government
Actor types
city-government
Funding model
public
Funding description
Not recorded
Cost
Not recorded
Ownership
Not recorded
Decision rights
Not recorded
Exit conditions
Not recorded

3 source dossiers

Seoul Metropolitan Government (authority) english.seoul.go.kr · 2 linked claims

Open original source ↗

Stable source ID
src-a4f0bbd2409eb299
Publisher
Name not classified · english.seoul.go.kr
Type / language
web-page · language not classified
Published
2021-06-03
Updated
Not recorded
Source last checked
No source-level check date
Record last verified
2026-07-21
Dossier created
2026-08-26
Retrieved copy
No local capture recorded
Archive
No archived copy linked
Content hash
No captured content hash
Locator
Open the recorded source note

1,100 sensors, 17 data types every 2 minutes, public release, Smart Seoul Map streaming.

Descriptive only — not page/paragraph exact
MDPI Sensors 23(5):2384, 2023 (peer-reviewed) mdpi.com · 5 linked claims

Open original source ↗

Stable source ID
src-b8caf001cc45767e
Publisher
Name not classified · mdpi.com
Type / language
web-page · language not classified
Published
2023-02-21
Updated
Not recorded
Source last checked
No source-level check date
Record last verified
2026-07-21
Dossier created
2026-08-26
Retrieved copy
No local capture recorded
Archive
No archived copy linked
Content hash
No captured content hash
Locator
Open the recorded source note

Peer-reviewed quality-management study of the S-DoT network: 850 stations installed in 2019 and 220 in 2020, a 0.75 km horizontal resolution against 4.5 km for the national automated network, and only one ASOS station in Seoul. Carries the warm-bias percentages for the sampled heatwave and coldwave days, the missing-data ratios, and the finding on wall-mounted sensor boxes. MDPI blocks retrieval; the full text was read through the Europe PMC mirror of the same article (PMC10037411).

Descriptive only — not page/paragraph exact
Seoul Metropolitan Government IoT policy (authority) world.seoul.go.kr · 1 linked claim

Open original source ↗

Stable source ID
src-12ddd32040876c11
Publisher
Name not classified · world.seoul.go.kr
Type / language
web-page · language not classified
Published
2025-05-31
Updated
Not recorded
Source last checked
No source-level check date
Record last verified
2026-07-21
Dossier created
2026-08-26
Retrieved copy
No local capture recorded
Archive
No archived copy linked
Content hash
No captured content hash
Locator
Open the recorded source note

S-DoT scale and role within Seoul's smart-city IoT strategy; Open Data Plaza access.

Descriptive only — not page/paragraph exact
Known limits of this passport
  • Publisher names and source languages have not yet been classified; domains are recorded without guessing.
  • Existing source notes are descriptive locators, not page- or paragraph-exact citations.
  • A missing archive, publication date or content hash is shown as null rather than inferred.
  • The project-level evidence grade ranks the strongest source in the entry; it is not a truth score for every claim.
📎 Cite this project

1001 Smart Cities (2026). “S-DoT — Smart Seoul Data of Things Sensor Network” — Seoul, South Korea. The Smart City Atlas. https://1001smartcities.org/projects/seoul-sdot-sensors/ (last verified 2026-07-21). Data: CC BY 4.0.

The underlying data is free to reuse with attribution — see the open data page.

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