Lesson 2.1Lesson 2.1 · Acquiring Spatial Data
Base Maps: Survey of India & OpenStreetMap
The two starting layers under almost every Indian project
Two base maps sit under India. One is official and locked. One is open and alive.
You are handed a plot in a town you have never visited and told to produce a context plan by Friday. Before you analyse anything, you need a floor to stand on: a base map that tells you where the roads, water, settlements and contours actually are. In India that floor comes from two very different places. Survey of India gives you the nation's official, surveyed truth, released as topo sheets you download after logging in with Aadhaar. OpenStreetMap gives you a global, community-built vector map you can pull into QGIS in minutes and edit yourself. Neither is a rival to the other; a good project uses both, knowing exactly what each is for.
The most honest thing on a map is the credit line. Write it before anyone asks.
What a base map is, and why the choice matters
A base map is the reference layer you draw everything else on top of: the roads, rivers, coastline, built-up areas and terrain that let a viewer (and you) locate the plot in the real world. It is not usually the thing you analyse. It is the thing that makes your analysis legible.
The base map you pick quietly decides three things: how accurate your positions are, what you are allowed to do with the result, and how current the map is. An official surveyed sheet is positionally authoritative but may be a decade old and cannot be used commercially without permission. A crowd-sourced map is astonishingly current in a busy city and free to build on, but its accuracy varies street by street. Knowing which trade-off you are making is the whole skill.
A base map is the floor, not the furniture. Choose the floor before you decorate.
Survey of India: the official floor
The Survey of India (SoI) is the country's national surveying and mapping agency, under the Department of Science and Technology. Its Open Series Maps (OSM) — confusingly sharing the initials of OpenStreetMap, so we will say Open Series Maps in full — are topographic sheets at 1:50,000 scale covering the whole country, roughly 3,000 sheets. You download them as PDFs from the Nakshe web portal.
Two honest caveats. First, access is Aadhaar-gated: the portal authenticates Indian residents before it releases a free sheet, and the licence is non-commercial. Second, a PDF topo sheet is a picture of a map, not GIS-ready vector data. To use it in analysis you must georeference and, if you want features, digitise it — the exact craft of Module 3. What SoI gives you is authority: contours, spot heights, settlement names and drainage that were actually surveyed, which is the reference you check crowd data against.
Two things share the letters OSM in India. Say Open Series Maps or OpenStreetMap in full and save yourself an argument.
OpenStreetMap: the open floor
OpenStreetMap (OSM) is a global, crowd-sourced vector map — think of it as the Wikipedia of geography. Volunteers and organisations trace roads, buildings, water, land use and points of interest, and anyone can download the result as real vector features with attributes. In dense Indian cities the coverage of roads and amenities is often excellent and remarkably up to date; in a small village it can be sparse.
OSM is licensed under the Open Database License (ODbL 1.0): free to use, including commercially, provided you attribute OpenStreetMap and share any improvements to the data under the same terms. That share-alike clause matters for planners publishing derived datasets, so read it before you build a product on it. The great gift of OSM is that it is already vector: no georeferencing, no digitising — you query it and it arrives as clickable, queryable features.
How OSM stores meaning: tags
OSM does not have neat columns like a survey database. Instead every feature carries free-form tags in key=value pairs: a road is a line tagged highway=primary; a hospital is a point or polygon tagged amenity=hospital; a building is a polygon tagged building=yes. When you download OSM into QGIS, those tags become the attribute table you query.
This is liberating and dangerous in equal measure. Liberating, because you can pull exactly the theme you need — every school, every bus stop, every drain — with one query. Dangerous, because tagging is done by volunteers and is uneven: some buildings carry a height, most do not; a road tagged residential in one city may be tagged unclassified in another. Treat OSM tags as a rich but incomplete index, never as a legally authoritative record.
A working rule: OSM to move fast, SoI and Bhuvan to check
In practice most projects run both. You start on OSM because it is instant vector context — roads, blocks, amenities — that lets you begin analysis the same afternoon. You keep the Survey of India sheet (and ISRO Bhuvan imagery and thematic layers) as the authority you validate against: does the OSM road network match the surveyed alignment, is the drainage really where the crowd drew it, is a contour plausible.
For a statutory deliverable, the hierarchy is clear: official surveyed data and the municipal or development-authority base outrank crowd data. For a fast feasibility study or a studio concept, OSM is often enough. The professional move is to state which base you used and why on the map itself, so anyone reading it knows how far to trust each line.
Survey of India — Nakshe / Open Series Maps
Official 1:50,000 topographic sheets (PDF), national
Free to Indian residents via Aadhaar authentication, non-commercial only; a picture of a map you must georeference before analysis. soinakshe.uk.gov.in
OpenStreetMap (OSM)
Global crowd-sourced vector base map (roads, buildings, POIs, land use)
Open Database License (ODbL 1.0): free, including commercial, with attribution and share-alike. Already vector, so no digitising needed.
ISRO Bhuvan
India's national geoportal (imagery + thematic base layers)
Free with registration; the authority you cross-check crowd data against for Indian locations. bhuvan.nrsc.gov.in
OGC WMS / WFS
Global standards for serving base maps as images (WMS) or features (WFS)
How official portals and QGIS/ArcGIS exchange base layers over the web; add a WMS as a picture, a WFS as queryable features.
Workshop — build a two-source base map for an Indian town
You will pull live OpenStreetMap features into your project, add an official base for reference, and prove to yourself that OSM arrives as queryable vector while a topo sheet arrives as a picture.
QGIS 3.44 with QuickOSM (free) or ArcGIS Pro; internet; a Nakshe account (Aadhaar) to see SoI sheets.
Goal: a project with OSM roads + amenities over an imagery base, plus one Survey of India sheet noted as reference Data: OSM via Overpass (free) + Bhuvan/Esri imagery + one SoI Open Series sheet Time: ~45 minutes
- 1In QGIS: install the QuickOSM plugin (Plugins to Manage and Install Plugins), then run Vector to QuickOSM and query key=highway for your town; the roads arrive as vector lines with tags. In ArcGIS Pro: add the OpenStreetMap vector base, or import a downloaded .osm/.pbf extract with the Data Interoperability or a conversion tool.
- 2Run a second QuickOSM query for key=amenity value=hospital (or school). In ArcGIS Pro: filter the OSM layer or add the equivalent theme from ArcGIS Living Atlas.
- 3Add a satellite base. In QGIS: Browser to XYZ Tiles for an imagery source, or use Bhuvan/QuickMapServices. In ArcGIS Pro: Map to Basemap to Imagery.
- 4Open the OSM roads attribute table and read the tags (highway, name). Confirm the data is genuinely vector by clicking one road with Identify (QGIS) or Explore (ArcGIS Pro).
- 5Register at soinakshe.uk.gov.in, note the Open Series sheet number covering your town, and add a placeholder note in the project that this official 1:50,000 sheet is the reference you would georeference in Module 3. Add a credit line: data OpenStreetMap contributors (ODbL).
You’ll walk away with
A base-map project that layers live OSM vector features over imagery, with the official Survey of India sheet identified as the accuracy reference, plus a correct ODbL attribution line.
Three altitudes on the same idea
Read the band that fits you — or all three.
Start your site pack on OSM, anchor it on Survey of India. Pull OSM roads, buildings and amenities to sketch the neighbourhood in an afternoon, then lay the SoI Open Series sheet under it to check contours, drainage and the surveyed road alignment near your plot. When you hand a context plan to a client, cite both sources so the accuracy claim is honest.
Know the licence before you publish. For a statutory or commercial plan, the non-commercial Survey of India terms and the ODbL share-alike clause both bite. OSM is superb for a rapid amenities-and-access baseline across a ward, but a notified land-use plan must rest on official survey and development-authority data. Record provenance for every layer so the plan survives scrutiny.
OSM is your fastest read of the street network and its uses. Junction density, block sizes, shopfront and amenity distribution — all queryable from OSM tags in minutes, ideal for a first walkability sketch. Just verify the messy bits on the ground or against imagery, because informal lanes and new construction are exactly where crowd data is thinnest.
“OpenStreetMap is just a free copy of Google Maps, so it must be less accurate.”
Do it yourself
No software needed — reason about base maps for five minutes.
- 1Name one task where you must use Survey of India rather than OSM, and one where OSM is the better first choice. Say why for each.
- 2Write the ODbL in one sentence: what two obligations does it place on you when you publish something built from OSM?
- 3For a hospital, a road and a plot boundary, guess which is best mapped in OSM today and which is likely missing or unreliable.
- 4Look at any street you know well on openstreetmap.org and list two attributes (tags) you would expect on its main road.
- 5Explain why a Survey of India PDF is not yet usable for spatial analysis, and name the two steps that would fix that.
The one line to carry out
Peer-reviewed journals & authoritative standards
- 01Survey of India — Dept. of Science & Technology, Govt. of India, ongoing.
- 02Bhuvan — Indian Geoportal of ISRO — ISRO / NRSC, ongoing.
- 03Longley, P.A., Goodchild, M.F., Maguire, D.J. & Rhind, D.W. — Geographic Information Science and Systems, 4th ed. — Wiley, 2015.
- 04Sub-Scheme on Formulation of GIS-based Master Plans for AMRUT Cities (TCPO/MoHUA) — Press Information Bureau, Govt. of India, 2022.
A base map tells you where things are on the ground; to see what is actually there, and how it changes, you need pictures from orbit — which is satellite imagery, next.
The author
Amogh N P
Architect, interior designer, and creative polymath. Studio Matrx began in his notebooks — his vision of design made honest, useful, and open to everyone. Its Academy is written and taught in his memory, and free, forever.
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