Advances in Precision Forestry: The Efficacy of Multisource Optical and LiDAR Technologies

A special issue of Forests (ISSN 1999-4907). This special issue belongs to the section "Forest Inventory, Modeling and Remote Sensing".

Deadline for manuscript submissions: 31 July 2026 | Viewed by 53

Special Issue Editor


E-Mail Website
Guest Editor
Discipline of Geography, School of Agricultural, Earth and Environmental Sciences, University of KwaZulu-Natal, Scottsville Campus, Pietermaritzburg 3209, South Africa
Interests: geo-informatics; forest inventory; machine learning; computer vision

Special Issue Information

Dear Colleagues,

Plantation forests are valuable natural assets that require coordinated management across multiple spatial scales to balance economic productivity, environmental sustainability, and socio-economic objectives. While remote sensing has become an integral tool in forestry that supports decision-making throughout the value chain, data from a single sensor often provides an incomplete picture of complex forest dynamics. By integrating multiple data sources (i.e., spaceborne, airborne, and terrestrial sensors), multisource remote sensing enables complementary observations of the same landscape at varying spatial, temporal, and spectral resolutions. This fusion enhances accuracy and provides a more holistic understanding essential for precision forestry inventory. In recent years, LiDAR data used independently or in combination with multispectral, hyperspectral, and radar sensors has greatly advanced forest characterization and assessments including the precise estimation of canopy attributes, understory conditions, and timber quality and productivity.

This Special Issue of Forests aims to showcase innovative use of multisource remotely sensed datasets and/or LiDAR in precision forestry applications, and contributions that demonstrate the application of modern remote sensing technologies for precision forestry applications related to forest data acquisition, monitoring, and sustainability assessments are particularly welcome.

Dr. Kabir Peerbhay
Guest Editor

Manuscript Submission Information

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Keywords

  • precision forestry
  • LiDAR
  • spaceborne, airborne, and terrestrial sensors
  • remote sensing
  • forest monitoring

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Published Papers

This special issue is now open for submission.
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