An open-source platform for storing, visualizing, and sharing geospatial data like orthophotos, point clouds, and 3D models.
DroneDB is an open-source platform for managing geospatial data. It allows users to store, visualize, and share various data types like orthophotos, point clouds, 3D models, and geotagged files in one centralized system. It solves the problem of using disparate tools for different geospatial formats by providing a unified solution with cloud sync capabilities.
Geospatial professionals, drone mapping specialists, GIS analysts, and researchers who work with diverse datasets like orthophotos, point clouds, and 3D models and need a tool for organization, visualization, and collaboration.
Developers choose DroneDB for its comprehensive format support, built-in visualization tools, and cloud collaboration features via DroneDB Hub. Its open-source nature and focus on modern standards like COG and STAC provide a flexible alternative to proprietary geospatial data management systems.
Free and open source software for geospatial data storage.
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Automatically extracts metadata from images (EXIF), raster data (GDAL), point clouds (PDAL), and vector files, reducing manual work as highlighted in the Key Features.
Handles diverse geospatial formats including orthophotos (GeoTIFF, COG), point clouds (LAZ/LAS), 3D models (OBJ, glTF), and vectors (GeoJSON, SHP), covering most standard types.
Enables pushing and pulling datasets to/from DroneDB Hub with sharing via direct links, embed codes, and tile services, facilitating collaboration as shown in the CLI commands.
Provides web-based viewers for orthophotos, 3D point clouds, textured models, and 360° panoramas, allowing easy data inspection without external software.
Building from source requires vcpkg, CMake, C++17 compiler, and specific dependencies, making it challenging for users without development or system administration expertise.
Only explicitly supports Windows and Linux, with no mention of macOS, which excludes users in Apple-centric workflows or mixed environments.
Relies on external geospatial libraries like GDAL and PDAL, which can be large, complex to install, and prone to version conflicts, especially on systems without pre-built packages.