English (United Kingdom)

https://curated-unify.zendy.io/wp-json/zendy-region/v1/featured_content/oa?rat=en

https://curated-unify.zendy.io/wp-json/zendy-region/v1/highlighted_journal/

Global: Zendy Plus annual

Presents the access of premium content as premium feature

Premium Content

Presents the keyphrase highlighting as premium feature

Keyphrase Highlighting

Presents the summarisation as premium feature

Summarisation

Insights

Presents the pdf analysis as premium feature

PDF Analysis

Presents the zaia usage as premium feature

ZAIA

Global: Zendy Plus monthly

Global: Zendy Tools annual

Global: Zendy Tools monthly

Global: Zendy Free Plan

Access to highly detailed models of heterogeneous forests from the nearsurface to above the tree canopy at varying scales is of increasing demand asit enables more advanced computational tools for analysis, planning, andecosystem management. LiDAR sensors available through different scanningplatforms including terrestrial, mobile and aerial have become established asone of the primary technologies for forest mapping due to their inheritedcapability to collect direct, precise and rapid 3D information of a scene.However, their scalability to large forest areas is highly dependent upon useof effective and efficient methods of co-registration of multiple scan sources.Surprisingly, work in forestry in GPS denied areas has mostly resorted tomethods of co-registration that use reference based targets (e.g., reflective,marked trees), a process far from scalable in practice. In this work, wepropose an effective, targetless and fully automatic method based on anincremental co-registration strategy matching and grouping points according tolevels of structural complexity. Empirical evidence shows the method'seffectiveness in aligning both TLS-to-TLS and TLS-to-ALS scans under a varietyof ecosystem conditions including pre/post fire treatment effects, of interestto forest inventory surveyors.

Automated Structural-level Alignment of Multi-view TLS and ALS Point Clouds in Forestry