A Comparison of Imputation Approaches for Estimating Forest Biomass Using Landsat Time-Series and Inventory Data by Trung H. Nguyen, Simon Jones, Mariela Soto-Berelov, Andrew Haywood, Samuel Hislop

“…While studies have demonstrated different kNN imputation approaches for estimating forest biomass from remote sensing data and forest inventory plots, there is no general agreement on which approach is most appropriate for biomass estimation across large areas. …”
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Exploring Subpixel Learning Algorithms for Estimating Global Land Cover Fractions from Satellite Data Using High Performance Computing by Uttam Kumar, Sangram Ganguly, Ramakrishna R. Nemani, Kumar S Raja, Cristina Milesi, Ruchita Sinha, Andrew Michaelis, Petr Votava, Hirofumi Hashimoto, Shuang Li, Weile Wang, Subodh Kalia, Shreekant Gayaka

“…As such, abundance maps continue to offer a useful alternative to high-spatial-resolution classified maps for forest inventory analysis, multi-class mapping, multi-temporal trend analysis, etc.…”
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Estimation of Larch Growth at the Stem, Crown, and Branch Levels Using Ground-Based LiDAR Point Cloud by Shuangna Jin, Wuming Zhang, Jie Shao, Peng Wan, Shun Cheng, Shangshu Cai, Guangjian Yan, Aiguang Li

“…Thus, it is necessary to estimate tree growth at different levels for accurate forest inventory.…”
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Silvicultural Interventions Drive the Changes in Soil Organic Carbon in Romanian Forests According to Two Model Simulations by Viorel N. B. Blujdea, Toni Viskari, Liisa Kulmala, George Gârbacea, Ioan Dutcă, Mihaela Miclăuș, Gheorghe Marin, Jari Liski

“…Default parametrization of the models and harmonized litterfall simulated by CBM provided satisfactory results when compared to observed data from National Forest Inventory (NFI). We explored a stratification approach to investigate the improvement of soil C prediction. …”
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Gap-filling a spatially explicit plant trait database: comparing imputation methods and different levels of environmental information by R. Poyatos, R. Poyatos, O. Sus, L. Badiella, M. Mencuccini, M. Mencuccini, J. Martínez-Vilalta, J. Martínez-Vilalta

“…Here we compare statistical imputation approaches, using varying levels of environmental information, for five plant traits (leaf biomass to sapwood area ratio, leaf nitrogen content, maximum tree height, leaf mass per area and wood density) in a spatially explicit plant trait dataset of temperate and Mediterranean tree species (Ecological and Forest Inventory of Catalonia, IEFC, dataset for Catalonia, north-east Iberian Peninsula, 31 900 km²). …”
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Soil‐associated drivers of plant traits and functional composition in Atlantic Forest coastal tree communities by Jehová Lourenço Jr., Erica A. Newman, José A. Ventura, Camilla Rozindo Dias Milanez, Luciana Dias Thomaz, Douglas Tinoco Wandekoken, Brian J. Enquist

“…We collected wood samples and leaves from ˜85% of the plant species identified in the forest inventory and estimated the community‐weighted tree height, aboveground biomass, basal area of individual plants, specific leaf area, wood density, and the total tree biomass per community by the sum of all trees’ aboveground biomass per plot. …”
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NOVEL SINGLE TREE DETECTION BY TRANSFORMERS USING UAV-BASED MULTISPECTRAL IMAGERY by S. Dersch, S. Dersch, A. Schöttl, A. Schöttl, P. Krzystek, P. Krzystek, M. Heurich, M. Heurich

“…Single tree detection has been a major research topic concerning automatic forest inventory using remote sensing data. Recently, deep learning-based approaches in remote sensing forestry have gained attention because of the prospect of improved accuracy. …”
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Estimating biomass of mixed and uneven-aged forests using spectral data and a hybrid model combining regression trees and linear models by López-Serrano Pablito M, López-Sánchez Carlos A, Díaz-Varela Ramón A, Corral-Rivas José J, Solís-Moreno R, Vargas-Larreta B, Álvarez-González Juan G

“…The objective of the present study was to estimate the biomass of mixed and uneven-aged forests in the Sierra Madre Occidental by using Landsat-5 TM spectral data and forest inventory data. We used the ATCOR3® atmospheric and topographic correction module to convert remotely sensed imagery digital signals to surface reflectance values. …”
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The Development of a Set of Novel Low Cost and Data Processing-Free Measuring Instruments for Tree Diameter at Breast Height and Tree Position by Linhao Sun, Zhongke Feng, Yakui Shao, Linxin Wang, Jueying Su, Tiantian Ma, Dangui Lu, Jiayi An, Yongqi Pang, Shahzad Fahad, Wenbiao Wang, Zhichao Wang

“…The complexity of the technology and the cost of the equipment make it impossible to use for large-scale forest surveys, for example, a national forest inventory (NFI). The aim of our study was to design a new type of low-cost measuring method that could be utilized in a NFI and in developing countries. …”
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The study of forest dynamics in the pergumid climate of Western Sayan mountains (Ermakovsky research station of V. N. Sukachev Institute of Forest, Russian Academy of Sciences, Sib... by D. I. Nazimova, M. E. Konovalova, D. M. Danilina, E. I. Ponomarev, N. Yu. Stashkevich, S. D. Baboy

“…Position of the mountain polygon-transect (study area) in the system of natural zonation of Altai-Sayan ecoregion and its belonging to barrier-rain mountain landscapes of South Siberia are defined more exactly with help of forest inventory and remote sensing data. Initial phases of forest successions by the above mentioned four ABCs are considered with special attention to regeneration of Pinus sibirica. …”
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Remote sensing of canopy nitrogen at regional scale in Mediterranean forests using the spaceborne MERIS Terrestrial Chlorophyll Index by Y. Loozen, K. T. Rebel, D. Karssenberg, M. J. Wassen, J. Sardans, J. Sardans, J. Peñuelas, J. Peñuelas, S. M. De Jong

“…In this paper, we conducted a regional case-study analysis to investigate the relationship between the Medium Resolution Imaging Spectrometer (MERIS) Terrestrial Chlorophyll Index (MTCI) time series from European Space Agency (ESA) Envisat satellite at 1 km spatial resolution and both canopy N concentration (%N) and canopy N content (N g m⁻², of ground area) from a Mediterranean forest inventory in the region of Catalonia, in the northeast of Spain. …”
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China’s current forest age structure will lead to weakened carbon sinks in the near future by Rong Shang, Jing M. Chen, Mingzhu Xu, Xudong Lin, Peng Li, Guirui Yu, Nianpeng He, Li Xu, Peng Gong, Liangyun Liu, Han Liu, Wenzhe Jiao

“…Here, we predict the role of China’s current forest age in future carbon sink capacity by generating a high-resolution (30 m) forest age map in 2019 over China’s landmass using satellite and forest inventory data and deriving forest growth curves using measurements of forest biomass and age in 3,121 plots. …”
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Low Cost Automatic Reconstruction of Tree Structure by AdQSM with Terrestrial Close-Range Photogrammetry by Yanqi Dong, Guangpeng Fan, Zhiwu Zhou, Jincheng Liu, Yongguo Wang, Feixiang Chen

“…These parameters extracted from AdQSM were compared with the reference values from forest inventory. For the DBH, the relative bias (rBias), root mean square error (RMSE), and coefficient of variation of root mean square error (rRMSE) were 4.26%, 1.93 cm, and 6.60%. …”
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Using Leaf-Off and Leaf-On Multispectral Airborne Laser Scanning Data to Characterize Seedling Stands by Mohammad Imangholiloo, Ninni Saarinen, Markus Holopainen, Xiaowei Yu, Juha Hyyppä, Mikko Vastaranta

“…The aim of this study was to investigate the capability of Optech Titan mALS data to characterize seedling stands in leaf-off and leaf-on conditions, as well as to retrieve the most important forest inventory attributes, such as distinguishing deciduous from coniferous trees, and estimating tree density and height. …”
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Aboveground biomass in Prosopis pallida (Humb. and Bonpl. ex Willd.) H. B. K. ecosystems using Landsat 7 ETM+ images Biomasa aérea en ecosistemas de Prosopis pallida (Humb. and Bon... by EVA PADRÓN, RAFAEL M NAVARRO-CERRILLO

“…The combination of specific forest inventories for the estimation of aboveground biomass in large dry tropical forest areas with remote sensor data has scarcely been explored to date. …”
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Modeling the impacts of hot drought on forests in Texas by Shakirudeen Lawal, Jennifer Costanza, Frank H. Koch, Robert M. Scheller

“…We used 2004–2019 Forest Inventory and Analysis (FIA) data and state-wide weather data to examine the climatic conditions associated with this elevated tree mortality.MethodsWe measured moisture extremes (wet to dry) using the Standardized Precipitation Evapotranspiration Index (SPEI) at two timescales (12- and 36-month). …”
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Tree biomass and deadwood density into aged holm oak (Sardinia) and beech coppices (Tuscany) by Bertini G, Fabbio G, Piovosi M, Calderisi M

“…Current National Forest Inventory highlight the further increase over the last two decades of coppice area under the position of mature standing crop or in the post-cultivation phase, both being developed throughout the original cultivation area. …”
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Planted forest is catching up with natural forest in China in terms of carbon density and carbon storage by Boyi Liang, Jia Wang, Zheyuan Zhang, Jia Zhang, Junping Zhang, Elizabeth L. Cressey, Zong Wang

“…In this study, we first used the latest four phases of national forest inventory data to investigate the variation of carbon storage for both natural and planted arbor forest in China during the covered period (1999-2018). …”
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Climatic and edaphic controls over tropical forest diversity and vegetation carbon storage by Hofhansl, Florian, Chacón-Madrigal, Eduardo, Fuchslueger, Lucia, Jenking, Daniel, Morera-Beita, Albert, Plutzar, Christoph, Silla, Fernando, Andersen, Kelly M., Buchs, David M., Dullinger, Stefan, Fiedler, Konrad, Franklin, Oskar, Hietz, Peter, Huber, Werner, Quesada, Carlos A., Rammig, Anja, Schrodt, Franziska, Vincent, Andrea G., Weissenhofer, Anton, Wanek, Wolfgang

“…Based on regionally replicated 1-ha forest inventory plots established in a region of high geomorphological heterogeneity we investigated how climatic and edaphic factors affect tropical forest diversity and vegetation carbon storage. …”
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Assessing the impact of forest structure disturbances on the arboreal movement and energetics of orangutans—An agent-based modeling approach by Widyastuti, Kirana, Reuillon, Romain, Chapron, Paul, Abdussalam, Wildan, Nasir, Darmae, Harrison, Mark E., Morrogh-Bernard, Helen, Imron, Muhammad Ali, Berger, Uta

“…We tested the model using forest inventory data obtained in Sebangau National Park, Central Kalimantan, Indonesia. …”
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