UAV-LiDAR and RGB Imagery Reveal Large Intraspecific Variation in Tree-Level Morphometric Traits across Different Pine Species Evaluated in Common Gardens by Erica Lombardi, Francisco Rodríguez-Puerta, Filippo Santini, Maria Regina Chambel, José Climent, Víctor Resco de Dios, Jordi Voltas

“…Remote sensing is increasingly used in forest inventories. However, its application to assess genetic variation in forest trees is still rare, particularly in conifers. …”
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Qualitative Analysis of Tree Canopy Top Points Extraction from Different Terrestrial Laser Scanner Combinations in Forest Plots by Sunni Kanta Prasad Kushwaha, Arunima Singh, Kamal Jain, Jozef Vybostok, Martin Mokros

“…In forestry research, for forest inventories or other applications which require accurate 3D information on the forest structure, a Terrestrial Laser Scanner (TLS) is an efficient tool for vegetation structure estimation. …”
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Assessing the carbon sink of afforestation with the Carbon Budget Model at the country level: an example for Italy by Pilli R, Grassi G, Moris Jose V, Kurz Werner A

“…We compared these two different AR rates with eight regional forest inventories and three independent local studies. …”
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Predicting tree species composition using airborne laser scanning and multispectral data in boreal forests by Jaime Candelas Bielza, Lennart Noordermeer, Erik Næsset, Terje Gobakken, Johannes Breidenbach, Hans Ole Ørka

“…This study highlights the utility of RS data for prediction of tree species composition in operational forest inventories, particularly indicating the utility of ALS and multi-season Sentinel-2 imagery.…”
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PENGATURAN HASIL KAYU PADA HUTAN ALAM PRODUKSI MELALUI BEBERAPA METODE PERHITUNGAN ETAT (Kasus Pada Hutan Alam Produksi Som-Sokbor Distrik Xebangfai, Propinsi Khammuan, Lao PDR) by , Sounthone DOUANGMALA, , Dr. Ir. Ris Hadi Purwanto, M.Agr.Sc.

“…The potential appraisal is done by forest inventorying activity by sampling to 24 ha area with line length is 12 km to pile level stand and tree. …”

Precision of subnational forest AGB estimates within the Peruvian Amazonia using a global biomass map by Natalia Málaga, Sytze de Bruin, Ronald E. McRoberts, Alexs Arana Olivos, Ricardo de la Cruz Paiva, Patricia Durán Montesinos, Daniela Requena Suarez, Martin Herold

“…National forest inventories (NFI) provide essential forest-related biomass and carbon information for country greenhouse gas (GHG) accounting systems. …”
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Species-specific machine learning models for UAV-based forest health monitoring: Revealing the importance of the BNDVI by Simon Ecke, Florian Stehr, Jan Dempewolf, Julian Frey, Hans-Joachim Klemmt, Thomas Seifert, Dirk Tiede

“…In our study, we have acquired a highly heterogenous, multispectral time-series dataset from the International Co-operative Programme on Assessment and Monitoring of Air Pollution Effects on Forests (ICP Forests) inventory plots across Bavaria, Germany, focusing on the main tree species. …”
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VOXEL-BASED APPROACH FOR ESTIMATING URBAN TREE VOLUME FROM TERRESTRIAL LASER SCANNING DATA by C. Vonderach, T. Voegtle, P. Adler

“…The importance of single trees and the determination of related parameters has been recognized in recent years, e.g. for forest inventories or management. For urban areas an increasing interest in the data acquisition of trees can be observed concerning aspects like urban climate, CO₂ balance, and environmental protection. …”
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Synthesizing Local Capacities, Multi-Source Remote Sensing and Meta-Learning to Optimize Forest Carbon Assessment in Data-Poor Regions by Kamaldeen Mohammed, Daniel Kpienbaareh, Jinfei Wang, David Goldblum, Isaac Luginaah, Esther Lupafya, Laifolo Dakishoni

“…By integrating multi-source optical and radar remote sensing data alongside community forest inventories, we applied a meta-modelling approach using stacked generalization ensemble to estimate forest above-ground carbon (AGC). …”
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Prediction of Forest Structural Parameters Using Airborne Full-Waveform LiDAR and Hyperspectral Data in Subtropical Forests by Xin Shen, Lin Cao, Dong Chen, Yuan Sun, Guibin Wang, Honghua Ruan

“…Accurate acquisition of forest structural parameters, which is essential for the parameterization of forest growth models and understanding forest ecosystems, is also crucial for forest inventories and sustainable forest management. In this study, simultaneously acquired airborne full-waveform (FWF) LiDAR and hyperspectral data were used to predict forest structural parameters in subtropical forests of southeast China. …”
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