Cloud-Based Drone Data Management & Geospatial Analysis Platform

We are looking for an experienced full-stack development team to build a cloud-based drone data management and analysis tool. The platform should allow users to upload, visualize, and analyze drone-captured geospatial data in an interactive web interface.

Core Features Required:

User Management & Authentication

Secure login, role-based access, team collaboration

Data Upload & Storage

Upload drone datasets including:

Orthomosaic TIFF files

DSM (Digital Surface Model)

DTM (Digital Terrain Model)

Contours

Point Clouds (LAS/LAZ)

Efficient cloud storage and processing

Visualization & Mapping

High-resolution map rendering

Layer control for DSM/DTM/Contour

2D & 3D viewer for point clouds

Analysis Tools

Plannimetric calculations

Distance & area measurement

Volume calculation (cut/fill)

Comparison tool (time-series changes)

Annotations & Team Collaboration

Marking tools: points, lines, polygons

Add notes and comments on maps

Multi-user access and real-time updates

Performance & Processing

Fast rendering of large datasets

Background processing with progress tracking

Technical Preferences (Optional but Preferred):

Frontend: React / Vue / Angular + Map/3D libraries like Cesium, Potree, Mapbox, Leaflet

Backend: Node.js / Python (Django/FastAPI)

Cloud: AWS / GCP / Azure

Database: PostgreSQL + PostGIS preferred

WebODM or Other GIS Processing Integrations will be an advantage

Deliverables:

Fully functional and scalable SaaS platform

Source code with documentation

Deployment & basic admin panel

UI/UX clean and professional

Ideal Candidate:

Strong experience with geospatial data handling

Drone mapping knowledge preferred

Experience in volume/terrain analysis tools