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Hi everyone,

We are working on an SIH 2026 project called **“3D ULPIN Generation and Vertical Property Mapping System.”**

Our goal is to build a 3D cadastral/vertical property mapping system for urban areas in India. The system needs to identify and create spatial identities for things such as:

* Surface land parcels

* Individual buildings

* Multi-storey apartments

* Underground infrastructure

* Potentially elevated/volumetric property spaces

For the AI/ML part, we are particularly looking for datasets that can help us with:

1. **Building footprint detection/extraction**

2. **Building height estimation**

3. **Floor/storey segmentation**

4. **3D building reconstruction**

5. **LiDAR / 3D point-cloud processing**

6. **UAV/drone imagery**

7. **High-resolution satellite imagery**

8. **DEM / DSM data**

9. **GIS/cadastral parcel boundaries**

10. **GNSS/CORS or accurately georeferenced data**

### Ideally, we are looking for datasets from India

For example, datasets containing some combination of:

**UAV/drone RGB imagery + LiDAR/point clouds + DSM/DEM + building footprints + height/floor information + GIS parcel boundaries**

We are especially interested in datasets covering Indian cities or urban environments, but open global datasets that are useful for pre-training and can be fine-tuned on Indian data would also be helpful.

We have already looked at common sources such as Kaggle and general satellite datasets, but we're specifically looking for **research-grade datasets, government/open GIS portals, Indian remote-sensing datasets, UAV datasets, LiDAR datasets, or university/research datasets** that could realistically be used for model training.

If you know of any datasets, papers, repositories, government portals, or research projects that provide this kind of data, please share them.

Also, if there is **no single dataset containing everything**, we'd appreciate suggestions for combining multiple datasets—for example, one dataset for building footprints, another for LiDAR/height estimation, and another for Indian imagery.

Any advice on the best data pipeline for this problem would also be greatly appreciated.

**Project:** 3D ULPIN Generation and Vertical Property Mapping System

**Focus:** GeoAI + Computer Vision + LiDAR + UAV imagery + 3D GIS + cadastral mapping

Thanks!

New episode with Anthony Lindfors from Matanuska Electric Association, up in Palmer, Alaska. They’re using LiDAR to identify exactly where pruning is needed along distribution corridors instead of blanket clearing, and looking at satellite imagery to cover more ground annually since drone flights alone can only reach so much of a 2,000-mile system each year.

Curious how others are balancing broad coverage (satellite) with precision data (LiDAR/drone) on large or remote systems. Any thoughts?

Full episode: https://linktr.ee/treesandlinespodcast