LP360

LP360 Drone is a desktop application for processing drone LiDAR and imagery into analyzed data and deliverables. It is best suited to geospatial teams that need a full local processing workflow, not just a point-cloud viewer. Its strongest case is the breadth of tools; the one-device license and 10km² project limit are meaningful constraints.

Overview

LP360 combines visualization, point-cloud processing, geospatial analysis, and export in one product. The desktop software offers synchronized 2D, 3D, and profile views, along with 3D Gaussian Splat viewing. This makes it a practical choice for teams moving between inspection and analysis, while the project-size ceiling may rule it out for larger jobs.

Key features

Core tools include LiDAR quality control and repair, filtering, 3D editing, automated ground classification, terrain modeling, and volume calculations. LP360 also supports point-cloud registration, E57 and LAS/LAZ, geospatial analysis, and point-cloud-to-mesh workflows. That range suits projects that need measurable outputs as well as cleaned data, rather than simple viewing or conversion.

Optional AI classification add-ons handle ground and above-ground features, forestry outputs, and utility-corridor features. Sensor support includes DJI, Microdrones, Phoenix LiDAR, Riegl, TrueView, Wingtra, and YellowScan; data can also be combined with other geospatial sources. Exports include CAD formats and LANDXML, while LPLAS files follow the ASPRS LAS specification for compatibility with software that reads LAS.

Cloud Collaborate adds online storage, sharing, geographic search, web viewing, and streaming from LP360 Cloud and desktop software. Cloud use is optional: core processing runs locally, transfers are user-initiated, and cloud connections use HTTPS/TLS encryption. LP360 supports offline and air-gapped operation with no external data transmission in that mode. LP360 Online services are hosted on AWS in the United States; some workflows may temporarily transfer data to third-party processors, including servers in France.

Pricing

LP360 uses a freemium model, with a free plan and paid plans from $995/yr. The base LP360 Drone plan costs $1,675 usd / year and includes a one-device floating license, with projects limited to 10km². The license scope and cap make it better suited to bounded individual or team workflows than broad multi-device deployment.

Several add-ons require LP360 Drone, so their prices are incremental rather than stand-alone alternatives. DJI L1/L2 Cloud batch processing is $620 a year and includes 20 flights per month for one user. Cloud Collaborate is $930 a year, with 200GB of storage, one user, and streaming up to 50GB/month. Both are quota-bound cloud options, so readers should match expected flight or streaming volume to those caps.

Other LP360 Drone add-ons include 3D Accuracy at $1,115 a year, Strip Align for Drone at $1,675 a year, and 3D Photo Engine at $2,475 a year. AI Ground Classification costs $1,360 a year and includes five regular jobs per month for 0–10GB projects and one user. AI Ground+ Classification is $2,640 a year with the same job and user limits, but does not include standalone AI Ground Classification. AI Forestry Classification is $5,280 a year, also with five regular jobs per month for 0–10GB projects and one user. Those quotas make the AI plans a more natural fit for recurring, moderate-volume work than high-throughput classification.

Platforms

LP360 is offered for web and Windows. The core product is a desktop application, with web access tied to optional cloud collaboration workflows. Local processing and offline operation are useful for air-gapped environments; readers needing a native desktop workflow on another operating system should look elsewhere.

Who it's for

LP360 fits geospatial professionals and organizations processing drone LiDAR and imagery from supported sensor systems, especially when one workflow must cover repair, classification, terrain or volume analysis, and CAD or LANDXML export. It is less suitable for users with projects exceeding 10km², those needing multiple licensed devices, or anyone seeking only a free viewer or general-purpose point-cloud toolkit.

Pros and cons

• Pros: A broad chain of local processing and analysis tools, from repair and classification to terrain models and volume calculations, can reduce the need to split those stages across separate software.
• Pros: Support for multiple named sensor families and LAS-compatible LPLAS exports helps fit mixed-source and downstream geospatial workflows.
• Pros: Optional cloud features coexist with local and offline operation, giving teams a choice about when to share data remotely.
• Cons: The one-device floating license and 10km² project cap limit fit for larger projects or wider device deployment.
• Cons: Cloud and AI add-ons impose user, storage, streaming, flight, or job limits, and several require the paid LP360 Drone license.

Alternatives

Choose Point Cloud Library if a free, BSD-licensed option for commercial or research use is the priority. WhiteboxTools is a free alternative with more than 700 open tools for Python, R, or QGIS, while its LiDAR and forest analytics entry plan is priced at $740 a year. LidarView is a free, Apache 2.0 open-source option for Linux and Windows. Open3D is another free choice, with API, web, self-hosted, and desktop platform options.

Pointly is a freemium alternative with usage-based plans, including pricing from 0.03 € per million points. Entwine and PDAL are free alternatives; Leica Cyclone 3DR is a paid option.

See the Point Cloud Software directory for more options.

Verdict

LP360 is a strong fit for geospatial teams that need local drone LiDAR and imagery processing, classification, analysis, and export in one Windows-centered workflow. Its breadth and offline capability are the main reasons to choose it; the project cap, one-device license, and add-on quotas are the clearest reasons to look elsewhere.