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Journal articles on the topic 'Improvement of forest inventory'

Author: Grafiati

Published: 2 June 2025

Last updated: 31 July 2025

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1

Borecki, Tomasz, Bogdan Brzeziecki, Edward Stępień, and Roman Wójcik. "Development of forest inventory methods in multifunctional forest management." Folia Forestalia Polonica, Series A - Forestry 57 (2) (December 1, 2015): 120–25. https://doi.org/10.1515/ffp-2015-0012.

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The demand for wide range and precise information on forests promotes continuous development of forest inventory methods, owing to the fact that compilation of reliable data is prerequisite not only for improving forest management schedules but also planning land use and natural environment management. In the reality of contemporary forestry, a requirement to improve forest inventory methods stems from obligation to acquire information on broadly understood issues of forestry as well as the protection of nature and environment. The paper points out to the essential steps, as said by the author

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Borecki, Tomasz, Bogdan Brzeziecki, Edward Stępień, and Roman Wójcik. "Development of forest inventory methods in multifunctional forest management." Folia Forestalia Polonica 57, no. 2 (2015): 120–25. http://dx.doi.org/10.1515/ffp-2015-0012.

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Abstract The demand for wide range and precise information on forests promotes continuous development of forest inventory methods, owing to the fact that compilation of reliable data is prerequisite not only for improving forest management schedules but also planning land use and natural environment management. In the reality of contemporary forestry, a requirement to improve forest inventory methods stems from obligation to acquire information on broadly understood issues of forestry as well as the protection of nature and environment. The paper points out to the essential steps, as said by t

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Baral, S., H. Meilby, and B. B. Khanal Chhetri. "The Contested Role of Management Plans in Improving Forest Conditions in Nepal's Community Forests." International Forestry Review 21, no. 1 (2019): 37–50. http://dx.doi.org/10.1505/146554819825863799.

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Nepal's forest legislation requires community forest user groups to prepare inventory based management plans. Several studies have observed positive changes in forest cover after the establishment of community forestry; however, the role of management plans in bringing about such change is less examined. Based on a case study of nine community forests in the mid-hills of Nepal, this paper discusses the role of plans in changing the forest conditions. The study assessed changes in forest conditions, observed forest management activities, conducted household surveys, and interviewed forest burea

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Falkowski, Michael J., Andrew T. Hudak, Nicholas L. Crookston, Paul E. Gessler, Edward H. Uebler, and Alistair M. S. Smith. "Landscape-scale parameterization of a tree-level forest growth model: a k-nearest neighbor imputation approach incorporating LiDAR data." Canadian Journal of Forest Research 40, no. 2 (2010): 184–99. http://dx.doi.org/10.1139/x09-183.

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Sustainable forest management requires timely, detailed forest inventory data across large areas, which is difficult to obtain via traditional forest inventory techniques. This study evaluated k-nearest neighbor imputation models incorporating LiDAR data to predict tree-level inventory data (individual tree height, diameter at breast height, and species) across a 12 100 ha study area in northeastern Oregon, USA. The primary objective was to provide spatially explicit data to parameterize the Forest Vegetation Simulator, a tree-level forest growth model. The final imputation model utilized LiDA

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Wang, Jinfang, Kehan Shi, and Mingxing Hu. "Measurement of Forest Carbon Sink Efficiency and Its Influencing Factors Empirical Evidence from China." Forests 13, no. 11 (2022): 1909. http://dx.doi.org/10.3390/f13111909.

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The efficiency and productivity improvement are the core requirements of high-quality development, while improving the efficiency of forest carbon sinks is an important means and fundamental way to achieve their high-quality development. Based on the forests and socioeconomic development data of 31 provinces (cities and districts) in China from 2004 to 2018, the biomass method and DEA-Tobit panel regression model were used to analyze the level of forest carbon stock, carbon sink and carbon sink efficiency, and factors influencing forest carbon sink efficiency in China’s provinces. The results

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Zhou, Mei, Chungan Li, Zhen Li, Zhu Yu, and Xiangbei Zhou. "Stratification of vertical canopy structure to improve estimation of forest inventory attributes using airborne LiDAR data in a large subtropical region of China." Annals of Forest Research 66, no. 2 (2023): 101–20. http://dx.doi.org/10.15287/afr.2023.3361.

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Over the last two decades, airborne light detection and ranging (LiDAR) has been developed into an advanced tool for practical forest resource inventory monitoring over large areas. Nonetheless, improving the accuracy of forest inventory attribute estimations remains an ongoing challenge. This paper introduces a novel framework for estimating forest inventory attributes based on the stratification of vertical forest structures (VFS). According to the composition and spatial arrangement of the superior, middle, and inferior strata in the tree layer, the forest stand was classified into six dist

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Toraño Caicoya, Astor, Florian Kugler, Hans Pretzsch, and Konstantinos Papathanassiou. "Forest vertical structure characterization using ground inventory data for the estimation of forest aboveground biomass." Canadian Journal of Forest Research 46, no. 1 (2016): 25–38. http://dx.doi.org/10.1139/cjfr-2015-0052.

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A common method for estimating forest biomass is to measure forest height and apply allometric equations. However, changing forest density or structure heterogeneity increases the variability of the known allometric relationship. Here, we investigated the potential of allometric relationships based on vertical forest structure for biomass inversions with a global potential. First, vertical biomass profiles, which were calculated from ground forest inventory data, were used to model forest vertical structure. Then, a vertical structure ratio based on Legendre polynomials was proposed as a struc

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Tuominen, Sakari, Stuart Fish, and Simo Poso. "Combining remote sensing, data from earlier inventories, and geostatistical interpolation in multisource forest inventory." Canadian Journal of Forest Research 33, no. 4 (2003): 624–34. http://dx.doi.org/10.1139/x02-199.

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Multisource forest inventory with two-phase sampling offers several advantages in the forest management planning when compared with the traditional visual inventory by stands. For example, by combining data from remote sensing imagery with field measurements, it is possible to estimate the forest characteristics of large areas at a more reasonable cost than by using the traditional visual inventory by stands. In this study, the k-nearest-neighbours estimation (k-nn), stand inventory data, and geostatistical interpolation were combined for estimation of five forest variables (mean diameter, mea

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Deivanayagampillai, Nagarajan, Thangavel Bhuvaneswari, and Yasothei Suppiah. "Intelligent inventory prediction: A machine learning framework using random forest for inventory forecasting." Edelweiss Applied Science and Technology 9, no. 4 (2025): 1795–807. https://doi.org/10.55214/25768484.v9i4.6383.

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This study proposes a machine learning-based inventory forecasting strategy using random forest classifiers to improve demand prediction and anomaly detection in retail sales. It aims to address the limitations of traditional inventory management by capturing nonlinear demand dynamics and interdependencies. The model is developed and validated using real-world inventory data, with the United Kingdom as the primary market. Data preprocessing includes handling 135,080 missing CustomerID fields, 1,454 missing Description fields, and correcting anomalies in Quantity and Unit Price. The random fore

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Schroeder, Todd A., Shingo Obata, Monica Papeş, and Benjamin Branoff. "Evaluating Statewide NAIP Photogrammetric Point Clouds for Operational Improvement of National Forest Inventory Estimates in Mixed Hardwood Forests of the Southeastern U.S." Remote Sensing 14, no. 17 (2022): 4386. http://dx.doi.org/10.3390/rs14174386.

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The U.S. Forest Service, Forest Inventory and Analysis (FIA) program is tasked with making and reporting estimates of various forest attributes using a design-based network of permanent sampling plots. To make its estimates more precise, FIA uses a technique known as post-stratification to group plots into more homogenous classes, which helps lower variance when deriving population means. Currently FIA uses a nationally available map of tree canopy cover for post-stratification, which tends to work well for forest area estimates but less so for structural attributes like volume. Here we explor

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Pitt, Doug, and John Pineau. "Forest inventory research at the Canadian Wood Fibre Centre: Notes from a research coordination workshop, June 3–4, 2009, Pointe Claire, QC." Forestry Chronicle 85, no. 6 (2009): 859–69. http://dx.doi.org/10.5558/tfc85859-6.

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As part of its mandate to improve forest sector competitiveness, the Canadian Wood Fibre Centre (CWFC) has directed its research program towards the enhancement of forest inventory tools and systems to enable the spatial identification and forecasting of forest value. A June 2009 workshop attended by inventory researchers and provincial specialists from across the country reviewed current research needs and made recommendations for improvement of the CWFC-funded research program over the next 2- to 5-year period. Current efforts appear well positioned to improve stand-level inventory detail th

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Sendak, Paul E., William B. Leak, and Wanda B. Rice. "Hardwood Tree Quality Development in the White Mountains of New Hampshire." Northern Journal of Applied Forestry 17, no. 1 (2000): 9–15. http://dx.doi.org/10.1093/njaf/17.1.9.

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Abstract Few studies in New England have related timber cutting in northern hardwood stands to improvements in timber quality. The objective of this study was to assess tree-quality improvement for lumber production from initial cutting in a northern hardwood forest on the Bartlett Experimental Forest in New Hampshire that occurred about 40 yr ago. This study used nine compartments on the Forest that were initially cut in the 1950s. Cutting methods included three diameter-limit cuts and six individual tree selection cuts followed by timber stand improvement by chemical girdling.The nine compar

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Jain, Theresa B., Jeremy S. Fried, and Sara M. Loreno. "Simulating the Effectiveness of Improvement Cuts and Commercial Thinning to Enhance Fire Resistance in West Coast Dry Mixed Conifer Forests." Forest Science 66, no. 2 (2019): 157–77. http://dx.doi.org/10.1093/forsci/fxz071.

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Abstract Nine multipurpose silvicultural treatments, formulated as a synthesis of recently implemented prescriptions offered by forest managers, were simulated to evaluate their effectiveness at enhancing fire resistance. The Forest Vegetation Simulator was applied, within the BioSum Framework, on over 3,000 Forest Inventory and Analysis plots representing 5 million hectares of dry mixed conifer forests in eastern Washington and Oregon and California’s Sierra Nevada Mountains. We developed a composite fire-resistance score based on four fuel modification principals and metrics: fuel strata gap

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Magdon, Paul, Eduardo González-Ferreiro, César Pérez-Cruzado, Edwine Purnama, Damayanti Sarodja, and Christoph Kleinn. "Evaluating the Potential of ALS Data to Increase the Efficiency of Aboveground Biomass Estimates in Tropical Peat–Swamp Forests." Remote Sensing 10, no. 9 (2018): 1344. http://dx.doi.org/10.3390/rs10091344.

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Estimates of aboveground biomass (AGB) in forests are critically required by many actors including forest managers, forest services and policy makers. Because the AGB of a forest cannot be observed directly, models need to be employed. Allometric models that predict the AGB of a single tree as a function of diameter at breast height (DBH) are commonly used in forest inventories that use a probability selection scheme to estimate total AGB. However, for forest areas with limited accessibility, implementing such a field-based survey can be challenging. In such cases, models that use remotely sen

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Räty, Minna, Juha Heikkinen, and Annika Kangas. "Assessment of sampling strategies utilizing auxiliary information in large-scale forest inventory." Canadian Journal of Forest Research 48, no. 7 (2018): 749–57. http://dx.doi.org/10.1139/cjfr-2017-0414.

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The National Forest Inventory of Finland (NFI) produces national- and regional-level statistics for sustainability assessment and strategical-level decision making. So far, the regional-level statistics are based on a systematic sampling design with geographical stratification. Auxiliary information such as remote sensing is not used for design or estimation at the regional level, but it is used at the small-area level, i.e., for municipality-level results. To improve the cost efficiency of the NFI, possibilities for using auxiliary data in both the design and estimation are of interest. We as

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Franklin, Oskar, Elena Moltchanova, Florian Kraxner, et al. "Large-Scale Forest Modeling: Deducing Stand Density from Inventory Data." International Journal of Forestry Research 2012 (2012): 1–13. http://dx.doi.org/10.1155/2012/934974.

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While effects of thinning and natural disturbances on stand density play a central role for forest growth, their representation in large-scale studies is restricted by both model and data availability. Here a forest growth model was combined with a newly developed generic thinning model to estimate stand density and site productivity based on widely available inventory data (tree species, age class, volume, and increment). The combined model successfully coupled biomass, increment, and stand closure (=stand density/self-thinning limited stand density), as indicated by cross-validation against

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Hudiburg, T. W., B. E. Law, and P. E. Thornton. "Evaluation and improvement of the Community Land Model (CLM4) in Oregon forests." Biogeosciences 10, no. 1 (2013): 453–70. http://dx.doi.org/10.5194/bg-10-453-2013.

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Abstract. Ecosystem process models are important tools for determining the interactive effects of global change and disturbance on forest carbon dynamics. Here we evaluated and improved terrestrial carbon cycling simulated by the Community Land Model (CLM4), the land model portion of the Community Earth System Model (CESM1.0.4). Our analysis was conducted primarily in Oregon forests using FLUXNET and forest inventory data for the period 2001–2006. We go beyond prior modeling studies in the region by incorporating regional variation in physiological parameters from >100 independent field sit

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18

Rozhi, T., and V. Kirilyuk. "WOOD AMELIORATIVE PLANTATIONS AS AN OBJECT OF TOPOGRAPHIC AND GEODESIC RESEARCH." Scientific heritage, no. 112 (May 7, 2023): 7–10. https://doi.org/10.5281/zenodo.7903690.

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The article considers a number of important positions for the purpose of studying the state of forest improvement plantations as an object of topographical and geodetic research for their further inventory and protection from destruction.

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Srinivas, Naidu Sai. "Advanced Image Analytics for Sustainable Forest Management: Automating Tree Enumeration Using Satellite and Aerial Imagery." International Journal for Research in Applied Science and Engineering Technology 13, no. 2 (2025): 1087–92. https://doi.org/10.22214/ijraset.2025.67041.

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Accurate and efficient tree enumeration is essential to sustainable forest management of forest ecosystems. The work that we present in this project integrates advanced image analytics techniques along side satellite and aerial imagery to enable tree detection and enumeration. The proposed system utilizes high resolution imagery and current leading machine learning techniques to improve both the precision and scaling of forest inventory processes. This work includes preprocessing techniques for image quality improvement for preprocessing, deep learning models (Deep Neural Networks such as Conv

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Hudiburg, T. W., B. E. Law, and P. E. Thornton. "Evaluation and improvement of the Community Land Model (CLM 4.0) in Oregon forests." Biogeosciences Discussions 9, no. 9 (2012): 12757–802. http://dx.doi.org/10.5194/bgd-9-12757-2012.

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Abstract. Ecosystem process models are important tools for determining the interactive effects of global change and disturbance on forest carbon dynamics. Here we evaluated and improved terrestrial carbon cycling simulated by the Community Land Model (CLM4), the land model portion of the Community Earth System Model (CESM1.0.4). Our analysis was conducted primarily in Oregon forests using FLUXNET and forest inventory data for the period 2001–2006. We go beyond prior modeling studies in the region by incorporating regional variation in physiological parameters from >100 independent field sit

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Кочеткова, Надежда Николаевна, and Милада Викторовна Баханова. "STATE OF FORESTS IN THE ZABAYKALSKY MOUNTAIN-FROST REGION AND THEIR QUANTITATIVE AND QUALITATIVE CHARACTERISTICS." Вестник Бурятской государственной сельскохозяйственной академии имени В. Р. Филиппова, no. 2(59) (June 23, 2020): 168–75. http://dx.doi.org/10.34655/bgsha.2020.59.2.023.

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Статья посвящена состоянию лесов Забайкальского горно-мерзлотного района. В работе приведены данные с заложенных постоянных пробных площадей по государственной инвентаризации лесов. Указаны сведения о площадных характеристиках лесного района, из которых видна общая площадь района и площадь лесных земель; количестве постоянных пробных площадей, заложенных на территории лесного района на протяжении временного периода; общего и среднего запаса стволовой древесины по группам древесных пород, с помощью чего выведена средняя формула породного состава лесных насаждений и приведена основная причина на

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Pohjankukka, Jonne, Sakari Tuominen, and Jukka Heikkonen. "Bayesian Approach for Optimizing Forest Inventory Survey Sampling with Remote Sensing Data." Forests 13, no. 10 (2022): 1692. http://dx.doi.org/10.3390/f13101692.

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In large-area forest inventories, a trade-off between the amount of data to be sampled and the corresponding collection costs is necessary. It is not always possible to have a very large data sample when dealing with sampling-based inventories. It is therefore important to optimize the sampling design with the limited resources. Whereas this sort of inventories are subject to these constraints, the availability of remote sensing (RS) data correlated with the forest inventory variables is usually much higher. For this reason, the RS and sampled field measurement data are often used in combinati

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Astola, Heikki, Lauri Seitsonen, Eelis Halme, Matthieu Molinier, and Anne Lönnqvist. "Deep Neural Networks with Transfer Learning for Forest Variable Estimation Using Sentinel-2 Imagery in Boreal Forest." Remote Sensing 13, no. 12 (2021): 2392. http://dx.doi.org/10.3390/rs13122392.

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Estimation of forest structural variables is essential to provide relevant insights for public and private stakeholders in forestry and environmental sectors. Airborne light detection and ranging (LiDAR) enables accurate forest inventory, but it is expensive for large area analyses. Continuously increasing volume of open Earth Observation (EO) imagery from high-resolution (<30 m) satellites together with modern machine learning algorithms provide new prospects for spaceborne large area forest inventory. In this study, we investigated the capability of Sentinel-2 (S2) image and metadata, top

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Wehrli, André, Peter Brang, Bernhard Maier, et al. "Schutzwaldmanagement in den Alpen – eine Übersicht | Management of protection forests in the Alps – an overview." Schweizerische Zeitschrift fur Forstwesen 158, no. 6 (2007): 142–56. http://dx.doi.org/10.3188/szf.2007.0142.

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Many mountain forests in the Alps protect residential areas and infrastructures from natural hazards. They are described as protection forests and their management aims to permanently provide a high protective effect. The maintenance and management of these forests are continuously improved and have reached a high standard. There is now a better understanding of the protective effects of the forest against natural hazards. In the Alps, there are currently several projects being conducted which aim to harmonize the assessment of natural hazards, damage potential and a resulting classification o

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Fu, Yuanyuan, Hong S. He, Todd J. Hawbaker, Paul D. Henne, Zhiliang Zhu, and David R. Larsen. "Evaluating k-Nearest Neighbor (kNN) Imputation Models for Species-Level Aboveground Forest Biomass Mapping in Northeast China." Remote Sensing 11, no. 17 (2019): 2005. http://dx.doi.org/10.3390/rs11172005.

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Quantifying spatially explicit or pixel-level aboveground forest biomass (AFB) across large regions is critical for measuring forest carbon sequestration capacity, assessing forest carbon balance, and revealing changes in the structure and function of forest ecosystems. When AFB is measured at the species level using widely available remote sensing data, regional changes in forest composition can readily be monitored. In this study, wall-to-wall maps of species-level AFB were generated for forests in Northeast China by integrating forest inventory data with Moderate Resolution Imaging Spectror

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Brooks, Robert T., and Thomas W. Birch. "Opportunities and Constraints for Wildlife Habitat Management on Private Forests of the Northeast." Northern Journal of Applied Forestry 3, no. 3 (1986): 109–13. http://dx.doi.org/10.1093/njaf/3.3.109.

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Abstract The Northeastern Forest Inventory and Analysis unit has completed one full cycle of forestland ownership surveys. The results of 14 state surveys show the majority of forestland of the region to be controlled by a large, diverse population of nonindustrial private landowners. These people are from varied background and exhibit a wide range of interests and attitudes toward wildlife, wildlife habitat, and forest management. The demographic and additional characteristics of forest landowners, together with the structural characteristics of their forestland, creates opportunities for, an

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Tachibana, Towa. "Inventory Results of 101 Natural Forests in the Middle Hills of Nepal over Two Decades." Journal of Forest and Livelihood 18, no. 1 (2023): 12–25. http://dx.doi.org/10.3126/jfl.v18i1.59608.

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Repeated forest-resource inventories provide indispensable information to evaluate, for example, the mean growth rate of stands and changes in tree-species composition in an area.This paper presents a summary of such longitudinal forest inventory data in the Middle Hills of Nepal, where deforestation has been an issue. Our first inventory was implemented between 1997 and 1999 and measured 3839 plots of 100 square meters (m 2 ). Our second inventory was conducted between 2014 and 2016 and measured 3765 plots of 100 m 2 . We found that over these two decades, the number of trees per hectare (ha

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Kovyazin, V. F., K. P. Vinogradov, A. A. Kitcenko, and Е. А. Vasilyeva. "Airborne Laser Scanning for Clarification of the Valuation Indicators of Forest Stands." Lesnoy Zhurnal (Forestry Journal), no. 6 (December 10, 2020): 42–54. http://dx.doi.org/10.37482/0536-1036-2020-6-42-54.

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Nowadays the latest non-contact methods and technologies for studying the forest fund are being developed for forest monitoring improvement, forest lands assessment and their cadastral registration. It is the use of airborne laser scanning (ALS) in forest inventory that is designed to solve the challenges forest management facing. Laser scanning is the only method of collecting data on the real surface covered with forest vegetation, which allows to obtain data on the shape, location and reflectivity of the studied forest objects. The result of ALS is a 3D array of laser reflections with a den

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Dwyer, John, David Nowak, and Gary Watson. "Future Directions for Urban Forestry Research in the UNITED STATES." Arboriculture & Urban Forestry 28, no. 5 (2002): 231–36. http://dx.doi.org/10.48044/jauf.2002.035.

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Urban forestry research promises to continue to be an integral part of the growth and development of forestry in urban and urbanizing areas of the United States. The future is expected to bring increased emphasis on research in support of the care of trees and other plants, ecological restoration, and comprehensive and adaptive management across the landscape. Particular emphasis will be needed on research to guide improvements in urban forest health; ecological restoration techniques; resource inventory and monitoring; dialogue among forest resource owners, managers, and uses; collaboration a

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Katila, Matti, and Juha Heikkinen. "Reducing error in small-area estimates of multi-source forest inventory by multi-temporal data fusion." Forestry: An International Journal of Forest Research 93, no. 3 (2020): 471–80. http://dx.doi.org/10.1093/foresj/cpz076.

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Abstract Since the 1990s, forest resource maps and forest variable estimates for small areas have been produced by combining national forest inventory (NFI) field plot data, optical satellite images and numerical map data. A non-parametric $k$-NN method has frequently been employed. In Finland, such multi-source NFI (MS-NFI) forest variable estimates for municipalities have been produced eight times. A relatively large variation has been observed between subsequent estimates. In this study, a large-scale evaluation of small-area estimates from an MS-NFI conducted in 2013 was carried out in com

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So, Kangyu, Jenny Chau, Sean Rudd, et al. "Direct Estimation of Forest Aboveground Biomass from UAV LiDAR and RGB Observations in Forest Stands with Various Tree Densities." Remote Sensing 17, no. 12 (2025): 2091. https://doi.org/10.3390/rs17122091.

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Canada’s vast forests play a substantial role in the global carbon balance but require laborious and expensive forest inventory campaigns to monitor changes in aboveground biomass (AGB). Light detection and ranging (LiDAR) or reflectance observations onboard airborne or unoccupied aerial vehicles (UAVs) may address scalability limitations associated with traditional forest inventory but require simple forest structures or large sets of manually delineated crowns. Here, we introduce a deep learning approach for crown delineation and AGB estimation reproducible for complex forest structures with

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Zhadan, I. B., S. A. Los, L. O. Torosova, O. M. Plotnikova, and V. G. Grygoryeva. "Application of GIS technologies for accounting plus trees." Forestry and Forest Melioration, no. 143 (December 26, 2023): 50–60. http://dx.doi.org/10.33220/1026-3365.143.2023.50.

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Introduction  Nowadays, an important forest genetic resources (FGR) conservation activity is the systematization of information on gene pool conservation units in electronic databases. It should be noted, however, that the existing international databases mainly relate only to units represented by populations (stands), which are visualized as polygons on the map. As the scientists from the Department of New Information Technologies in URIFFM have implemented the website “Geoportal: Forests of Ukraine”, it became technically possible to add information on plus trees to its functionality a

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Жафяров, Arutur Zhafyarov, Дорощенкова, et al. "Assessment of the potential of different types of thinning based on the analysis of satellite data Landsat 8." Forestry Engineering Journal 5, no. 1 (2015): 97–109. http://dx.doi.org/10.12737/11267.

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Restriction of access to data of forest inventory leads to difficulties in the implementation of scientific developments in the field of forestry, as a significant part of them until the business implementation passes a way of testing and improvements carried out actually on the enthusiasm of developers. Taking into account difficulty in obtaining forest inventory data for research in the article there is an example of the definition of information on forest plantations on the basis of the decryption freeware remote sensing data from Landsat 8 (OLI). One advantage of the processing of these da

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Pascual. "Using Tree Detection Based on Airborne Laser Scanning to Improve Forest Inventory Considering Edge Effects and the Co-Registration Factor." Remote Sensing 11, no. 22 (2019): 2675. http://dx.doi.org/10.3390/rs11222675.

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The estimation of forest biophysical attributes improves when airborne laser scanning (ALS) is integrated. Individual tree detection methods (ITD) and traditional area-based approaches (ABA) are the two main alternatives in ALS-based forest inventory. This study evaluated the performance of the enhanced area-based approach (EABA), an edge-correction method based on ALS data that combines ITD and ABA, at improving the estimation of forest biophysical attributes, while testing its efficiency when considering co-registration errors that bias remotely sensed predictor variables. The study was deve

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Wu, Biyun, Xiang Meng, Qiaolin Ye, et al. "Method of Estimating Degraded Forest Area: Cases from Dominant Tree Species from Guangdong and Tibet in China." Forests 11, no. 9 (2020): 930. http://dx.doi.org/10.3390/f11090930.

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Forest degradation has been considered as one of the main causes of climate change in recent years. The knowledge of estimating degraded forest areas without the application of remote sensing tools can be useful in finding solutions to resolve degradation problems through appropriate restoration methods. Using the existing knowledge through literature review and field-based primary information, we generated new knowledge by combining the information obtained from multi-criteria decision analyses with an analytic hierarchy process, and this was then used to estimate degraded forest area. Estima

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Wu, Yexu, Shilei Zhong, Yuxin Ma, Yao Zhang, and Meijie Liu. "Application of SLAM-Based Mobile Laser Scanning in Forest Inventory: Methods, Progress, Challenges, and Perspectives." Forests 16, no. 6 (2025): 920. https://doi.org/10.3390/f16060920.

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A thorough understanding of forest resources and development trends is based on quick and accurate forest inventories. Because of its flexibility and localized independence, mobile laser scanning (MLS) based on simultaneous localization and mapping (SLAM) is the best option for forest inventories. The gap in the review studies in this field is filled by this study, which offers the first comprehensive review of SLAM-based MLS in forest inventory. This synthesis includes methods, research progress, challenges, and future perspectives of SLAM-based MLS in forest inventory. The precision and effi

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van Ewijk, Karin, Paul Treitz, Murray Woods, Trevor Jones, and John Caspersen. "Forest Site and Type Variability in ALS-Based Forest Resource Inventory Attribute Predictions over Three Ontario Forest Sites." Forests 10, no. 3 (2019): 226. http://dx.doi.org/10.3390/f10030226.

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Over the last decade, spatially-explicit modeling of landscape-scale forest attributes for forest inventories has greatly benefitted from airborne laser scanning (ALS) and the area-based approach (ABA) to derive wall-to-wall maps of these forest attributes. Which ALS-derived metrics to include when modeling forest inventory attributes, and how prediction accuracies vary over forest types depends largely on the structural complexity of the forest(s) being studied. Hence, the purpose of this study was to (i) examine the usefulness of adding texture and intensity metrics to height-based ALS metri

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Kuliešis, Andrius, Albertas Kasperavičius, Gintaras Kulbokas, et al. "Using Continuous Forest Inventory Data for Control of Wood Production and Use in Large Areas: A Case Study in Lithuania." Forests 11, no. 10 (2020): 1039. http://dx.doi.org/10.3390/f11101039.

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Background and Objectives: Significant progress in developing European national forest inventory (NFI) systems could ensure accurate evaluations of gross annual increment (GAI) and its components by employing direct measurements. However, the use of NFI data is insufficient for increasing the efficiency of forest management and the use of wood, as well as for meeting sustainable forestry needs. Specification of forest characteristics, such as GAI and its components, identification of the main factors that impact forest growth, accumulation of wood, and natural losses are among the key elements

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Sinclair, Lucas, and Paul Rougieux. "Comparing Reported Forest Biomass Gains and Losses in European and Global Datasets." Forests 12, no. 2 (2021): 176. http://dx.doi.org/10.3390/f12020176.

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Net CO2 emissions and sequestration from European forests are the result of removal and growth of flora. To arrive at aggregated measurements of these processes at a country’s level, local observations of increments and harvest rates are up-scaled to national forest areas. Each country releases these statistics through their individual National Forest Inventory using their particular definitions and methodologies. In addition, five international processes deal with the harmonization and comparability of such forest datasets in Europe, namely the IPCC, SOEF, FAOSTAT, HPFFRE, FRA (definitions fo

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Adayi, George M., John F. Eshun, Eric D. Marfo, Nikolay A. Babich, Vladimir I. Melekhov, and Denis N. Klevtsov. "Forest Resources of the Republic of Ghana." Lesnoy Zhurnal (Forestry Journal), no. 5 (October 20, 2022): 186–94. http://dx.doi.org/10.37482/0536-1036-2022-5-186-194.

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The Republic of Ghana is among the 50 countries in the world with the highest biodiversity of plant and animal species. The network of forest reserves in the country is the basis for the rich biodiversity conservation. One third of the Ghana’s territory was covered with natural rainforests at the beginning of the 20th century. These forests are now classified as reserves and vulnerable areas. Ghana has two main types of vegetation: savannahs and forests. Their features are determined by the amount of precipitation, moisture level, geology and soils. An inventory of Ghana’s forest resources rev

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Li, Chao. "Toward full, multiple, and optimal wood fibre utilization: A modeling perspective." Forestry Chronicle 85, no. 3 (2009): 377–81. http://dx.doi.org/10.5558/tfc85377-3.

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The slow growth rates of Canada's considerable forest fibre supply give it exceptional characteristics. It is a challenge for forest managers, researchers, and stakeholders to realize the highest value creation from this opportunity for the benefit of Canadians. Ideally, this should be achieved with full, multiple, and optimal wood fibre utilization, whereby all quality classes of wood fibre are used to their fullest potential, and all possible value creation options are considered. This paper describes the concept of value chains in a global context, and how they can be applied to forestry us

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Lv, Yulong, Ning Han, and Huaqiang Du. "Estimation of Bamboo Forest Aboveground Carbon Using the RGLM Model Based on Object-Based Multiscale Segmentation of SPOT-6 Imagery." Remote Sensing 15, no. 10 (2023): 2566. http://dx.doi.org/10.3390/rs15102566.

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Remote sensing is an important tool for the quantitative estimation of forest carbon stock. This study presents a multiscale, object-based method for the estimation of aboveground carbon stock in Moso bamboo forests. The method differs from conventional pixel-based approaches and is more suitable for Chinese forest management inventory. This research indicates that the construction of a SPOT-6 multiscale hierarchy with the 30 scale as the optimal segmentation scale achieves accurate information extraction for Moso bamboo forests. The producer’s and user’s accuracy are 88.89% and 86.96%, respec

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Pokharel, Raju, Jagdish Poudel, Ram Kumar Adhikari, and Aseem Raj Sharma. "Demand and Supply of Forest Products in Bandevi Buffer Zone Community Forest, Chitwan National Park, Nepal." Sustainability in Environment 3, no. 4 (2018): 305. http://dx.doi.org/10.22158/se.v3n4p305.

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<p><em>Buffer Zone Community Forestry (BZCF) in the Chitwan National Park (CNP) started with an objective to engage locals and fulfill their resource needs without jeopardizing conservation. This study estimates the forest product demand and supply of fuelwood, fodder, and timber in Bandevi BZCF user group. Data was collected using stratified random sampling and forest inventory using the quadrate method. Results indicated Bandevi BZCF conditions improved since its handover to the community. However, the study estimated a deficit of 26173 cubic meters per year of timber, 3.21 milli

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Wysocka-Fijorek, Emilia. "Evaluation of forestry companies with differing administrative and production costs." Forest Research Papers 78, no. 1 (2017): 45–55. http://dx.doi.org/10.1515/frp-2017-0005.

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Abstract This paper contributes to the ongoing discussion on the improvement of private forest management in Poland. It examines characteristics of various types of forestry companies encompassing either completely private forests or a mixture of private and state-owned forests. Different possibilities for operating private and state-owned forestry companies were examined. The assessment of forestry companies was carried out for three categories based on forest inventory data and economic information. Each of the categories contained three different types of forestry companies classified as fo

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Emilia, Wysocka-Fijorek. "Evaluation of forestry companies with differing administrative and production costs." Lesne Prace Badawcze / Forest Research Papers 78, no. 1 (2017): 45–55. https://doi.org/10.1515/frp-2017-0005.

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This paper contributes to the ongoing discussion on the improvement of private forest management in Poland. It examines characteristics of various types of forestry companies encompassing either completely private forests or a mixture of private and state-owned forests. Different possibilities for operating private and state-owned forestry companies were examined. The assessment of forestry companies was carried out for three categories based on forest inventory data and economic information. Each of the categories contained three different types of forestry companies classified as follows: I

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Hirigoyen Dominguez, Andrés, Rafael Navarro, and Jorge Franco. "Application of satellite images and LiDAR data for modeling and inventory of Eucalyptus spp in Uruguay." Agrociencia Uruguay 25, Supplement theses (2021): e1521. http://dx.doi.org/10.31285/agro.25.1521.

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The integration of information from field inventories, with data from remote sensors, and its high correlation with the structure of the vegetation, allows to adjust precise models for the estimation of forest production. This allows for a reduction in costs, time and bias, producing valuable inputs for processes such as segmentation and optimizing the harvest. Here we present an alternative to forest inventories and data processing through the use of LiDAR and multispectral images. The main objective was to evaluate the use of LiDAR information and high-resolution multispectral data in Eucaly

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Grafström, Anton, and Anna Hedström Ringvall. "Improving forest field inventories by using remote sensing data in novel sampling designs." Canadian Journal of Forest Research 43, no. 11 (2013): 1015–22. http://dx.doi.org/10.1139/cjfr-2013-0123.

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It is becoming more common that auxiliary information from remote sensing is available at the planning stage of a forest field inventory. Recent developments in sampling theory allows the inclusion of such information in the sampling design to obtain better samples and, hence, improve estimates of common forest attributes. We explain the methodology and evaluate the possibility of including data from airborne laser scanning in the sampling design. The novel designs that we use can select samples that are balanced on a set of auxiliary variables and (or) well spread in a set of auxiliary variab

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Hao, Yuanshuo, Faris Rafi Almay Widagdo, Xin Liu, Ying Quan, Lihu Dong, and Fengri Li. "Individual Tree Diameter Estimation in Small-Scale Forest Inventory Using UAV Laser Scanning." Remote Sensing 13, no. 1 (2020): 24. http://dx.doi.org/10.3390/rs13010024.

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Unmanned aerial vehicle laser scanning (UAVLS) systems present a relatively new means of remote sensing and are increasingly applied in the field of forest ecology and management. However, one of the most essential parameters in forest inventory, tree diameter at breast height (DBH), cannot be directly extracted from aerial point cloud data due to the limitations of scanning angle and canopy obstruction. Therefore, in this study DBH-UAVLS point cloud estimation models were established using a generalized nonlinear mixed-effects (NLME) model. The experiments were conducted using Larix olgensis

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Николаев, А. А., and В. В. Фомин. "FOREST STANDS STATE AND THEIR DYNAMICS IN THE AREA OF AERIAL POLLUTION." Вестник Бурятской государственной сельскохозяйственной академии имени В. Р. Филиппова, no. 3(72) (September 28, 2023): 95–103. http://dx.doi.org/10.34655/bgsha.2023.72.3.011.

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Проведено исследование состояния еловых лесных насаждений, длительное время находящихся под влиянием аэропромышленных загрязнений медеплавильного производства – Среднеуральского медеплавильного завода (СУМЗ). Оценка состояния лесных насаждений выполнена с использованием усовершенствованного индекса влажности EWDI на основе данных спутниковой съемки Landsat TM/ETM за период с 1990 по 2020 год в пределах лесных выделов с использованием электронной карты границ лесотаксационных выделов. Снижение значений индекса EWDI свидетельствует об улучшении состояния растительности относительно значений комп

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Yan, Xingrong, Linyan Feng, Ram P. Sharma, et al. "Evaluating Forest Site Quality Using the Biomass Potential Productivity Approach." Forests 15, no. 1 (2023): 23. http://dx.doi.org/10.3390/f15010023.

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Biomass productivity is of great significance for the evaluation of forest quality, which is important for the improvement of forest management. We propose the computational methods of biomass potential productivity (BPP) and biomass realistic productivity (BRP), both of which provide reliable practical guides for predicting forest growth under multi-aged, multi-species, and multi-layered canopy conditions. We used 2222 national forest inventory plots that were measured in four consecutive periods in the Jilin Province for this purpose. We analyzed and verified the computational methods of BPP

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