China GIS data

+ Follow new data

114 datasets.

富源國小校園周邊行人暨行車安全道路改善

uav imagery by ken sun, acquired 2026-04-16 to 2026-04-16, 1.6 cm per pixel, published on OpenAerialMap.

Imagery and land cover · ken sun
新北瑞芳-頂坪三路邊坡(廣運)

uav imagery by hao, acquired 2025-11-11 to 2025-11-11, 3.8 cm per pixel, published on OpenAerialMap.

Imagery and land cover · hao
新北-貢寮-貢寮運動公園/龍門社區

uav imagery by hao, acquired 2025-12-22 to 2025-12-22, 2.1 cm per pixel, published on OpenAerialMap.

Imagery and land cover · hao
宜蘭-三奇美徑(冬山伯朗大道)

uav imagery by HAO, acquired 2025-05-26 to 2025-05-26, 1.8 cm per pixel, published on OpenAerialMap.

Imagery and land cover · HAO
China administrative boundaries (ADM0)

geoBoundaries ADM0 boundaries for China: 1 units, representing 2019. Source: geoBoundaries, Wikimedia Commons.

Boundaries · geoBoundaries (William & Mary geoLab)
China administrative boundaries (ADM1)

geoBoundaries ADM1 boundaries for China: 34 units, representing 2019. Source: geoBoundaries, Wikimedia Commons.

Boundaries · geoBoundaries (William & Mary geoLab)
宜蘭冬山-冬山河國道五號下游

uav imagery by HAO, acquired 2025-04-20 to 2025-04-20, 2.1 cm per pixel, published on OpenAerialMap.

Imagery and land cover · HAO
FMT TW

uav imagery by FeiMao Tec Company Limited, acquired 2026-06-19 to 2026-06-20, 1.5 cm per pixel, published on OpenAerialMap.

Imagery and land cover · FeiMao Tec Company Limited
Records near Jinpuli Hotel (1)

uav imagery by Alex, acquired 2026-05-06 to 2026-05-06, 5.0 cm per pixel, published on OpenAerialMap.

Imagery and land cover · Alex
Community Townwatching (Tamsui District)

Community Townwatching (Tamsui District) for pre-disaster preparation at December 2nd, 2023

Environment · GeoThings
Community twon-watching walkthrough (Zhonghe District)

Community twon-watching walkthrough (Zhonghe District) for pre-disaster preparation, April 7th, 2023.

Environment · GeoThings
China: Copernicus Global Human Settlement Layer (GHSL)

Open and free data for assessing the human presence on the planet. The Global Human Settlement Layer (GHSL) project produces global spatial information, evidence-based analytics, and knowledge describing the human presence on the planet. The GHSL relies on the design and implementation of spatial data processing technologies that allow automatic data analytics and information extraction from large amounts of heterogeneous geospatial data including global, fine-scale satellite image data streams, census data, and crowd sourced or volunteered geographic information sources. The JRC, together with the Directorate-General for Regional and Urban Policy (DG REGIO) and Directorate-General for Defence Industry and Space (DG DEFIS) are working towards a regular and operational monitoring of global built-up and population based on the processing of Sentinel Earth Observation data produced by European Copernicus space program. In addition, the EU Agency for the Space Programme (EUSPA) undertakes activities related to user uptake of data, information and services.

Population · Copernicus
China - Subnational Administrative Boundaries

This dataset contains the following administrative boundaries: ADM0, ADM1, ADM2, ADM3. Produced and maintained since 2017, the geoBoundaries Global Database of Political Administrative Boundaries Database www.geoboundaries.org is an open license, standardized resource of boundaries (i.e., state, county) for every country in the world.

Boundaries · geoBoundaries
China Healthsites

This dataset shows the list of operating health facilities. Attributes included: Name,Nature of Facility, Activities, Lat, Long

Health · Open Healthsite Consulting
China Tibet Earthquake: Damage Proxy Map, Jan 2025

# EOS-RS Damage Proxy Map: Tibet, China, Earthquake, 13 Jan 2025, v0.9 The Earth Observatory of Singapore - Remote Sensing Lab (EOS-RS) created this preliminary Damage Proxy Map (DPM) depicting areas that are likely damaged in Tibet, China, due to a Mw7.1 earthquake on 7 Jan 2025. This map was derived from synthetic aperture radar (SAR) images acquired by the Copernicus Sentinel-1 satellite operated by the European Space Agency (ESA) before (3 Sep 2024 to 1 Jan 2025) and after (13 Jan 2025) the event. The map covers an area indicated by the white polygon. Damage is shown by colored pixels of 30m in size, where yellow to red indicates increasingly significant ground surface change before and after the event. Preliminary validation was conducted using news reports and ground-level imagery and videos in selected areas. This map should be used as a guidance to identify damaged areas, and may be less reliable over vegetated or mountainous areas. Scattered pixels over vegetated or mountainous areas may be false positives, and a lack of colored pixels over such areas may not mean no damage. The product contains modified Copernicus Sentinel data (2024-2025), processed by ESA and analyzed by the Earth Observatory of Singapore - Remote Sensing Lab (EOS-RS). **More map details and files:** **More map details and files:** **Legal Disclaimer:** **Credits:** Earth Observatory of Singapore - Remote Sensing Lab (EOS-RS), Contains modified Copernicus Sentinel data (2024-2025)

Geoscience · Earth Observatory of Singapore
China Earthquake: Damage Proxy Maps, Dec 2023

# China Earthquake: Damage Proxy Maps, Dec 2023 The **Earth Observatory of Singapore – Remote Sensing Lab (EOS-RS)** produced these damage proxy maps for China Earthquake (Dec 2023) from synthetic aperture radar (SAR) satellite images. Each map is a separate ZIP below with its GeoTIFF, a KMZ for Google Earth, the PNG figures and a text file describing how it was made and how to read it. ## Maps in this dataset - **EOS-RS Damage Proxy Map: Gansu, China, Earthquake, 26 Dec 2023, v0.9** - **EOS-RS Damage Proxy Map: Gansu, China, Earthquake, 26 Dec 2023, v0.9** **More map details and files:** **More map details and files:** **Credits:** Earth Observatory of Singapore - Remote Sensing Lab (EOS-RS), Contains modified Copernicus Sentinel data (2023)

Geoscience · Earth Observatory of Singapore
China Sichuan Earthquake: Damage Proxy Maps, Sep 2022

# China Sichuan Earthquake: Damage Proxy Maps, Sep 2022 The **Earth Observatory of Singapore – Remote Sensing Lab (EOS-RS)** produced these damage proxy maps for China Sichuan Earthquake (Sep 2022) from synthetic aperture radar (SAR) satellite images. Each map is a separate ZIP below with its GeoTIFF, a KMZ for Google Earth, the PNG figures and a text file describing how it was made and how to read it. ## Maps in this dataset - **EOS-RS Damage Proxy Map: Sichuan, China, Earthquake, 7 Sep 2022, v0.8** - **EOS-RS Damage Proxy Map: Sichuan, China, Earthquake, 7 Sep 2022, v0.8** **More map details and files:** **More map details and files:** **Credits:** Earth Observatory of Singapore - Remote Sensing Lab (EOS-RS), Advanced Rapid Imaging and Analysis (ARIA), NASA-JPL/Caltech, Contains modified Copernicus Sentinel data (2022)

Geoscience · Earth Observatory of Singapore
Points of Interest of China

Points of interest: public-facing amenities, shops, tourist attractions, and landmarks tagged via `amenity`, `shop`, `tourism`, or `man_made`. Useful for general POI reference, urban analysis, and basemap detail. Coverage reflects where volunteer mappers have been active. Urban areas are usually well represented, remote areas may be sparse. Cross-check critical decisions with local field knowledge. - Source: OpenStreetMap, a free, collaborative world map - Tags: amenity, shop, tourism, man_made - Part of the country exports on HDX by HOT

Places · Humanitarian OpenStreetMap Team (HOT)
Financial Services of China

Financial services: banks, ATMs, post offices, money transfer agents, and microfinance branches tagged via `amenity`. Useful for financial-inclusion mapping, cash-distribution planning, and economic analysis. Coverage reflects where volunteer mappers have been active. Urban areas are usually well represented, remote areas may be sparse. Cross-check critical decisions with local field knowledge. - Source: OpenStreetMap, a free, collaborative world map - Tags: amenity - Part of the country exports on HDX by HOT

Economy · Humanitarian OpenStreetMap Team (HOT)
Health Facilities of China

Health facilities: hospitals, clinics, pharmacies, doctors, and dentists tagged via `amenity` or `healthcare`. Useful for service-access analysis, emergency response, and healthcare gap mapping. Coverage reflects where volunteer mappers have been active. Urban areas are usually well represented, remote areas may be sparse. Cross-check critical decisions with local field knowledge. - Source: OpenStreetMap, a free, collaborative world map - Tags: amenity, healthcare - Part of the country exports on HDX by HOT

Health · Humanitarian OpenStreetMap Team (HOT)
Railways of China

Railway lines and stations tagged `railway=*`: rail lines, tram tracks, and stations. Useful for transport accessibility analysis and basemap context. Coverage reflects where volunteer mappers have been active. Urban areas are usually well represented, remote areas may be sparse. Cross-check critical decisions with local field knowledge. - Source: OpenStreetMap, a free, collaborative world map - Tags: railway - Part of the country exports on HDX by HOT

Transport · Humanitarian OpenStreetMap Team (HOT)
Airports of China

Airports and aviation infrastructure: airports, heliports, helipads, runways, terminals, and emergency landing sites tagged via `aeroway`, `building`, or `emergency`. Useful for logistics, evacuation routing, and aerial-response planning. Coverage reflects where volunteer mappers have been active. Urban areas are usually well represented, remote areas may be sparse. Cross-check critical decisions with local field knowledge. - Source: OpenStreetMap, a free, collaborative world map - Tags: aeroway, building, emergency - Part of the country exports on HDX by HOT

Transport · Humanitarian OpenStreetMap Team (HOT)
Sea Ports of China

Sea ports, harbours and ferry terminals. Useful for maritime logistics, supply-chain analysis, and coastal access planning. Coverage reflects where volunteer mappers have been active. Urban areas are usually well represented, remote areas may be sparse. Cross-check critical decisions with local field knowledge. - Source: OpenStreetMap, a free, collaborative world map - Tags: industrial=port, harbour, port, amenity=ferry_terminal, building=ferry_terminal - Part of the country exports on HDX by HOT

Transport · Humanitarian OpenStreetMap Team (HOT)
Waterways of China

Water features across the area: rivers, streams, canals, lakes, ponds, and water bodies tagged with `waterway`, `water`, or `natural=water`. Useful for flood-risk modelling, watershed analysis, and environmental basemap context. Coverage reflects where volunteer mappers have been active. Urban areas are usually well represented, remote areas may be sparse. Cross-check critical decisions with local field knowledge. - Source: OpenStreetMap, a free, collaborative world map - Tags: waterway, water, natural - Part of the country exports on HDX by HOT

Water · Humanitarian OpenStreetMap Team (HOT)
Roads of China

Road network across the area tagged `highway=*`: motorways, residential streets, service roads, footways, and trails. Useful for routing, accessibility analysis, and evacuation planning. Coverage reflects where volunteer mappers have been active. Urban areas are usually well represented, remote areas may be sparse. Cross-check critical decisions with local field knowledge. - Source: OpenStreetMap, a free, collaborative world map - Tags: highway - Part of the country exports on HDX by HOT

Transport · Humanitarian OpenStreetMap Team (HOT)
Populated Places of China

Settlements and residential areas: named cities, towns, villages, suburbs, and residential land (`place=*` and `landuse=residential`). Useful for demographic context, settlement-level targeting, and population analysis. Coverage reflects where volunteer mappers have been active. Urban areas are usually well represented, remote areas may be sparse. Cross-check critical decisions with local field knowledge. - Source: OpenStreetMap, a free, collaborative world map - Tags: place, landuse - Part of the country exports on HDX by HOT

Population · Humanitarian OpenStreetMap Team (HOT)
Cultural Places of China

Cultural and historic places: museums, galleries, theatres, places of worship, monuments, and historic sites tagged via `tourism`, `amenity`, `historic`, or `heritage`. Useful for heritage protection, cultural mapping, and tourism context. Coverage reflects where volunteer mappers have been active. Urban areas are usually well represented, remote areas may be sparse. Cross-check critical decisions with local field knowledge. - Source: OpenStreetMap, a free, collaborative world map - Tags: tourism, amenity, historic, heritage - Part of the country exports on HDX by HOT

Places · Humanitarian OpenStreetMap Team (HOT)
Education Facilities of China

Education facilities: schools, kindergartens, colleges, and universities tagged via `amenity` or `building`. Useful for school-access mapping, education planning, and resource allocation. Coverage reflects where volunteer mappers have been active. Urban areas are usually well represented, remote areas may be sparse. Cross-check critical decisions with local field knowledge. - Source: OpenStreetMap, a free, collaborative world map - Tags: amenity, building - Part of the country exports on HDX by HOT

Buildings and infrastructure · Humanitarian OpenStreetMap Team (HOT)
China: Copernicus Vegetation Index Anomaly (FAPAR Anomaly)

Fraction of Absorbed Photosynthetically Active Radiation (FAPAR) is a biophysical dimensionless quantity (its values range from 0/no absorption to 1/total absorption) used to assess the greenness and health of vegetation. FAPAR anomalies can be used as an indicator to detect and monitor the impacts of agricultural drought on the growth and productivity of vegetation. The data is presented in 10-day time composite of the Visible Infrared Imaging Radiometer Suite (VIIRS).

Biodiversity · Copernicus
China - GLIDE Disaster Events

GLIDEnumbers are GLobal unique IDEntifiers for Disasters. Each disaster is registered in a record that contains a GLIDEnumber that uniquely identifies it and allows information to be interoperable across multiple disaster information sources, both structured and textual. Accessing disaster information can be a time consuming and laborious task. Not only is data scattered but frequently identification of the disaster can be confusing in countries with many disaster events and across borders. To address both of these issues, Asian Disaster Reduction Center (ADRC) proposed a globally common Unique ID code for disasters. Among the institutions using actively GLIDEnumbers are UN-OCHA (ReliefWeb, FSCC, HDX), UNDRR, UNDP, WMO, IFRC, FAO, the European Commission and the Centre for Research on the Epidemiology of Disasters (CRED), among many others. Country datasets are only produced for countries with at least one GLIDE event since 1 January 2022. The global dataset contains all events available from the GLIDE API, including those not assigned to a country.

Environment · GLIDE Initiative
Natural Earth admin 0 countries chn (1:10 million)

Natural Earth admin 0 countries chn at 1:10 million scale: public domain cartographic vector data built to make small-scale world, regional and country maps.

Boundaries · Natural Earth
宜蘭-潤泰鐵道

uav imagery by HAO, acquired 2025-06-18 to 2025-06-18, 1.9 cm per pixel, published on OpenAerialMap.

Imagery and land cover · HAO
埔里國中國小

uav imagery by RayLin, acquired 2025-12-03 to 2025-12-03, 5.0 cm per pixel, published on OpenAerialMap.

Imagery and land cover · RayLin
冬山河親水公園

uav imagery by hao, acquired 2026-04-26 to 2026-04-26, 2.1 cm per pixel, published on OpenAerialMap.

Imagery and land cover · hao
Taiwan Province Boundaries

Retirement Notice: This item is in mature support as of September 2025 and will retire in December 2027.  A new version of this item is available for your use. Esri recommends updating your maps and apps to use the new version. Taiwan Province Boundaries provides a 2022 boundary with a total population count. The layer is designed to be used for mapping and analysis. It can be enriched with additional attributes using data enrichment tools in ArcGIS Online. The 2022 boundaries are provided by Michael Bauer Research GmbH. They are sourced from National Land Surveying and Mapping Center, 2021, Village Boundary Map (2021/06/10). These were published in December 2022. Other administrative boundaries for this country are also available: Admin0 County District

Boundaries · esri_livingatlas
Taiwan County Boundaries

Retirement Notice: This item is in mature support as of September 2025 and will retire in December 2027.  A new version of this item is available for your use. Esri recommends updating your maps and apps to use the new version. Taiwan County Boundaries provides a 2022 boundary with a total population count. The layer is designed to be used for mapping and analysis. It can be enriched with additional attributes using data enrichment tools in ArcGIS Online. The 2022 boundaries are provided by Michael Bauer Research GmbH. They are sourced from National Land Surveying and Mapping Center, 2021, Village Boundary Map (2021/06/10). These were published in December 2022. Other administrative boundaries for this country are also available: Admin0 Province District

Boundaries · esri_livingatlas