Indonesia GIS data

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

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

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

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

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

Building footprints across the area: every feature tagged `building=*`, from residential homes to hospitals, schools, and places of worship. Useful for population estimation, damage assessment, and urban 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: building - Part of the country exports on HDX by HOT

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

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

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

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

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

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).

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.

uav imagery by TOT, acquired 2026-05-07 to 2026-05-07, 3.7 cm per pixel, published on OpenAerialMap.

uav imagery by TOT, acquired 2026-05-03 to 2026-05-03, 3.7 cm per pixel, published on OpenAerialMap.

uav imagery by TOT, acquired 2026-04-14 to 2026-04-14, 3.7 cm per pixel, published on OpenAerialMap.

uav imagery by TOT, acquired 2026-04-27 to 2026-04-27, 3.7 cm per pixel, published on OpenAerialMap.

Indonesia - Education facilities (Elementary, Junior, Vocational and Senior High School)

uav imagery by TOT, acquired 2026-06-26 to 2026-06-26, 3.7 cm per pixel, published on OpenAerialMap.

uav imagery by TOT, acquired 2026-06-09 to 2026-06-09, 3.7 cm per pixel, published on OpenAerialMap.

uav imagery by TOT, acquired 2026-06-09 to 2026-06-09, 3.7 cm per pixel, published on OpenAerialMap.

uav imagery by TOT, acquired 2026-06-09 to 2026-06-09, 3.7 cm per pixel, published on OpenAerialMap.

uav imagery by TOT, acquired 2026-06-04 to 2026-06-04, 3.7 cm per pixel, published on OpenAerialMap.

uav imagery by TOT, acquired 2026-06-02 to 2026-06-02, 3.7 cm per pixel, published on OpenAerialMap.

uav imagery by TOT, acquired 2026-05-25 to 2026-05-25, 3.7 cm per pixel, published on OpenAerialMap.

uav imagery by TOT, acquired 2026-05-23 to 2026-05-23, 3.7 cm per pixel, published on OpenAerialMap.

uav imagery by TOT, acquired 2026-05-23 to 2026-05-23, 3.7 cm per pixel, published on OpenAerialMap.

uav imagery by TOT, acquired 2026-05-23 to 2026-05-23, 3.7 cm per pixel, published on OpenAerialMap.

uav imagery by TOT, acquired 2026-05-18 to 2026-05-18, 3.7 cm per pixel, published on OpenAerialMap.

uav imagery by TOT, acquired 2026-05-01 to 2026-05-01, 3.7 cm per pixel, published on OpenAerialMap.

uav imagery by TOT, acquired 2026-04-30 to 2026-04-30, 3.7 cm per pixel, published on OpenAerialMap.

uav imagery by TOT, acquired 2026-04-14 to 2026-04-14, 3.7 cm per pixel, published on OpenAerialMap.

uav imagery by TOT, acquired 2026-03-27 to 2026-03-27, 3.7 cm per pixel, published on OpenAerialMap.

uav imagery by TOT, acquired 2026-03-27 to 2026-03-27, 7.5 cm per pixel, published on OpenAerialMap.

uav imagery by TOT, acquired 2026-03-27 to 2026-03-27, 3.7 cm per pixel, published on OpenAerialMap.

uav imagery by TOT, acquired 2026-06-10 to 2026-06-10, 3.7 cm per pixel, published on OpenAerialMap.