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Insights

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Latest Forsite's Publications

Remote Sensing, 18(4), 547

Publication Year :

Airborne Laser Scanning for Large-Scale Forest Carbon Quantification: A Comparison of LiDAR Single-Tree and Field- Based Methods

Remote Sensing of Environment, 331, 115007

Publication Year :

Predicting fire-induced individual tree mortality at the landscape level using fire intensity and airborne laser scanning data

Forests, 16, 784

Publication Year :

Comparison of Field Sampling- and Airborne Laser Scanning-Derived Stand-Level Inventories in a Mixed Conifer Forest and Volume Validation Using Log Scaling Data

Remote Sens, 17, 1761

Publication Year :

Comparison of a Continuous Forest Inventory to an ALS-Derived Digital Inventory in Washington State

Forests, 16, 1617

Publication Year :

Kondratev et al.

Assessing the Uncertainty of Traditional Sample-Based Forest Inventories in Mixed and Single Species Conifer Systems Using a Digital Forest Twin

Forest Ecology and Management, 595, 2025, 122989

Publication Year :

Precision forestry in actively managed loblolly pine plantations: Leaf area index response one growing season following a variable-rate fertilization

Forests, 15, 1002

Publication Year :

Raigosa-García et al.

Rethinking Productivity Evaluation in Precision Forestry through Dominant Height and Site Index Measurements Using Aerial Laser Scanning LiDAR Data

Forest Science, 70, Issue 3

Publication Year :

An Accuracy Assessment of Field and Airborne Laser Scanning–Derived Individual Tree Inventories using Felled Tree Measurements and Log Scaling Data in a Mixed Conifer Forest

Forest Ecology and Management, 545

Publication Year :

Integrating active fire behavior observations and multitemporal airborne laser scanning data to quantify fire impacts on tree growth: A pilot study in mature Pinus ponderosa stands

Remote Sensing, 14, 2567

Publication Year :

A Conventional Cruise and Felled-Tree Validation of Individual Tree Diameter, Height and Volume Derived from Airborne Laser Scanning Data of a Loblolly Pine (P. taeda) Stand in Eastern Texas

Current Forestry Reports, 8, 148–165

Publication Year :

Use of Individual Tree and Product Level Data to Improve Operational Forestry

Publication Year :

Sparks and Smith

Accuracy of a LiDAR-Based Individual Tree Detection and Attribute Measurement Algorithm Developed to Inform Forest Products Supply Chain and Resource Management

Japan Journal of Research, 2(3):1-2

Publication Year :

Arney and Corrao

The Evolution of Forest Inventory

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