Relevant bibliographies by topics / Improvement of forest inventory

Contents

  1. Journal articles
  2. Dissertations / Theses
  3. Books
  4. Book chapters
  5. Conference papers
  6. Reports

Academic literature on the topic 'Improvement of forest inventory'

Author: Grafiati
Published: 2 June 2025
Last updated: 31 July 2025

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Journal articles on the topic "Improvement of forest inventory"

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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, 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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Dissertations / Theses on the topic "Improvement of forest inventory"

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Jonikavičius, Donatas. "Forest inventory improvement based on satellite images." Doctoral thesis, Lithuanian Academic Libraries Network (LABT), 2012. http://vddb.laba.lt/obj/LT-eLABa-0001:E.02~2012~D_20121012_113102-15265.

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The aim of the study – improvement of on-going in Lithuania forest inventories based on satellite images and GIS databases. Specific objective of the study – to explore the possibilities of methods applied for the collection of information from satellite images and GIS databases and its processing in order to determine various Lithuanian forest characteristics, focusing on a variety of forest inventory schemes. 4 The goals of the study: 1. To discuss methodological assumptions for the use of satellite images and GIS database information to estimate various characteristics of the Lithuanian for
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Bikuvienė, Ina. "Theoretical and practical improvement of forest inventory by using laser scanning." Doctoral thesis, Lithuanian Academic Libraries Network (LABT), 2012. http://vddb.laba.lt/obj/LT-eLABa-0001:E.02~2012~D_20121012_113052-08966.

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The aim and objectives. Overall: To improve forest inventory methods using laser scanning. Specific: To create methodological background for laser scanning in the Lithuanian forest inventory and to provide practical suggestions for the use of remote sensing technique in practice. To attain the objective, the following tasks were formulated: 1. To investigate the influence of forest cover on the digital surface model accuracy when it is drawn up based on laser scanning data; 2. To investigate estimation peculiarities of individual tree characteristics using laser scanning data in the Lithuanian
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Guimarães, Mariana Abdalla Prata. "Cultivo de Tectona grandis L.f. no Estado do Espírito Santo." Universidade Federal do Espírito Santo, 2012. http://repositorio.ufes.br/handle/10/5821.

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Made available in DSpace on 2016-12-23T13:51:55Z (GMT). No. of bitstreams: 1 Marianna Abdala Prata Guimaraes.pdf: 1260415 bytes, checksum: 07877be4cfd376c908247866809ece44 (MD5) Previous issue date: 2012-10-03<br>The objective was to create a map of zoning edaphoclimatic for teak in Espírito Santo, characterize six teak stands in southern Espírito Santo, and evaluate the genetic variability in progenies of Tectona grandis Lf in the municipality of Alegre, state of Espírito Santo. The work was divided into three chapters. At first, we used the fuzzy logic, in the desktop ArcGIS 9.2/ArcMap®, f
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Wallington, Edward David. "Forest height inventory from airborne Synthetic Aperture Radar." Thesis, University of Edinburgh, 2006. http://hdl.handle.net/1842/27609.

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This study assesses the capabilities of commercially available airborne short wavelength Synthetic Aperture Radar (SAR) Interferometry (InSAR) for retrieving individual tree and forest and stand height. In this study, tree height is estimated by subtracting a ground surface elevation model (a UK Ordinance Survey DEM, OSDEM) from a Digital Surface Model, DSM (from commercial Intermap Technologies) and the results are then compared to field measurements of tree and stand heights. Subsequently, the use of two airborne InSAR data sets is assessed for top height retrieval as an operational product,
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Mason, Nancy A. "Floral richness inventory of an eastern U.S. forest." Thesis, This resource online, 1994. http://scholar.lib.vt.edu/theses/available/etd-06162009-063251/.

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Kauffman, Jobriath Scott. "Spatiotemporal Informatics for Sustainable Forest Production Utilizing Forest Inventory and Remotely Sensed Data." Diss., Virginia Tech, 2017. http://hdl.handle.net/10919/74974.

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The interrelationship between trees and humans is primordial. As pressures on natural resources grow and become more complex this innate connection drives an increased need for improved data and analytical techniques for assessing the status and trends of forests, trees, their products, and their services. Techniques for using readily available data such as the Forest Inventory and Analysis (FIA) database and output from forest disturbance detection algorithms derived from Landsat data, such as Vegetation Change Tracker (VCT), for estimating forest attributes across time from the state and i
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Herington, Stephen (Stephen Richard). "Supplier inventory and operations management process improvement methodology." Thesis, Massachusetts Institute of Technology, 2013. http://hdl.handle.net/1721.1/81000.

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Thesis (M.B.A.)--Massachusetts Institute of Technology, Sloan School of Management; and, (S.M.)--Massachusetts Institute of Technology, Engineering Systems Division; in conjunction with the Leaders for Global Operations Program at MIT, 2013.<br>Cataloged from PDF version of thesis.<br>Includes bibliographical references (p. 62-63).<br>The Building Construction Products (BCP) Division of Caterpillar makes 12 different loader, excavator, and tractor products with 10 manufacturing facilities worldwide. With relatively high volume machines, BCP saw that their supply base continued to have challeng
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Maudie, Alan John. "Forest inventory classification using aerial image texture in the New Brunswick Acadian forest region." Thesis, National Library of Canada = Bibliothèque nationale du Canada, 1999. http://www.collectionscanada.ca/obj/s4/f2/dsk1/tape9/PQDD_0017/MQ48024.pdf.

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Yang, Tianying M. Eng Massachusetts Institute of Technology. "Production system improvement : floor area reduction and inventory optimization." Thesis, Massachusetts Institute of Technology, 2012. http://hdl.handle.net/1721.1/78172.

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Thesis (M. Eng. in Manufacturing)--Massachusetts Institute of Technology, Dept. of Mechanical Engineering, 2012.<br>Cataloged from PDF version of thesis.<br>Includes bibliographical references (p. 75).<br>This thesis shows improvements of a medical device production system. The demand at the Medical Device Manufacturing Company (MDMC¹) is low for the occlusion system product and there is a need to introduce other production lines on the floor. MDMC gave the challenge to the MIT team to improve the production area utilization rate and inventory management for the occlusion system product. This
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Bleier, Mary F. "Use of prior distributions from aerial photographs in forest inventory." Thesis, Virginia Tech, 1986. http://hdl.handle.net/10919/41543.

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Bayesian estimates of gross cubic- foot volume per acre were computed for four stand types (plantation pine, natural pine. hardwood. and mixed wood stands) using aerial photo volume tables as the prior information source. Aerial photographs provided a reliable source of information even though most photographs were nearly five years old. For a given level of precision within a particular stand, Bayesian methods reduced the required field sample size up to 50% using all or half of the prior information available. Those priors which utilized a regression or a regression/topographic correction i
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Books on the topic "Improvement of forest inventory"

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G, Rosehart Robert, and Ontario Forest Resources Inventory Committee., eds. An assessment of Ontario's Forest Resources Inventory System and recommendations for its improvement. Ontario Forest Resources Inventory Committee], 1987.

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Pacific Northwest Research Station (Portland, Or.), ed. Wildlife habitats of the north coast of California: New techniques for extensive forest inventory. U.S. Dept. of Agriculture, Forest Service, Pacific Northwest Research Station, 1992.

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Sanders, Robin D. Development and methodology of the Quilcene Ranger District, Olympic National Forest watershed improvement needs inventory. Huxley College of Environmental Studies, Western Washington University, 1991.

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United States. Government Accountability Office, ed. DOD's 2010 Comprehensive Inventory Management Improvement Plan addressed statutory requirements, but faces implementation challenges. U.S. Govt. Accountability Office, 2011.

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Office, General Accounting. Defense inventory: Navy spare parts quality deficiency reporting program needs improvement : report to congressional requesters. The Office, 2001.

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Office, General Accounting. Defense inventory: Process for canceling inventory orders needs improvement : report to the Chairman and Ranking Minority Member, Committee on Armed Services, U.S. Senate. The Office, 2000.

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Office, General Accounting. Defense inventory: Navy spare parts quality deficiency reporting program needs improvement : report to congressional requesters. The Office, 2001.

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Office, General Accounting. Defense inventory: Navy spare parts quality deficiency reporting program needs improvement : report to congressional requesters. The Office, 2001.

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Kangas, Annika, and Matti Maltamo, eds. Forest Inventory. Springer Netherlands, 2006. http://dx.doi.org/10.1007/1-4020-4381-3.

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Service, Canadian Forestry. Canada's forest inventory. Petawawa National Forestry Institute = Institut forestier national de Petawawa, 1988.

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Book chapters on the topic "Improvement of forest inventory"

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Laine, Jaana. "Chapter 2. Knowledge of Trees and Forests – Finnish Forest Research from the Nineteenth to the Twentieth Century." In Green Development or Greenwashing? The White Horse Press, 2023. http://dx.doi.org/10.3197/63824846758018.ch02.

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Finnish forestry and forest science reflect demands set by the state administration and the forest industry but also private forest and nature conservation organisations, and nowadays private citizens e.g., through social media. From the late nineteenth century to the 2020s, the history of forests, forest science and Finnish society consists of four main periods. During the first period – know the forests (late nineteenth century–1930s) – society needed and gained information on forests, especially on growing timber stock (the first forest inventory in the 1920s) and wood consumption (the firs
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Kangas, Annika, Jeffrey H. Gove, and Charles T. Scott. "Introduction." In Forest Inventory. Springer Netherlands, 2006. http://dx.doi.org/10.1007/1-4020-4381-3_1.

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West, Philip W. "Conducting an Inventory." In Tree and Forest Measurement. Springer Berlin Heidelberg, 2004. http://dx.doi.org/10.1007/978-3-662-05436-9_11.

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West, P. W. "Conducting an Inventory." In Tree and Forest Measurement. Springer International Publishing, 2015. http://dx.doi.org/10.1007/978-3-319-14708-6_11.

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West, P. W. "Conducting an Inventory." In Tree and Forest Measurement. Springer Berlin Heidelberg, 2009. http://dx.doi.org/10.1007/978-3-540-95966-3_11.

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Cook, Suzanne. "Botanical Inventory." In The Forest of the Lacandon Maya. Springer US, 2016. http://dx.doi.org/10.1007/978-1-4614-9111-8_5.

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Cook, Suzanne. "Ethnographic Inventory." In The Forest of the Lacandon Maya. Springer US, 2016. http://dx.doi.org/10.1007/978-1-4614-9111-8_6.

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Vauhkonen, Jari, Jan Rombouts, and Matti Maltamo. "Inventory of Forest Plantations." In Forestry Applications of Airborne Laser Scanning. Springer Netherlands, 2013. http://dx.doi.org/10.1007/978-94-017-8663-8_13.

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Singh, Karan Deo. "Forest Inventory Problem Formulation." In Capacity Building for the Planning, Assessment and Systematic Observations of Forests. Springer Berlin Heidelberg, 2013. http://dx.doi.org/10.1007/978-3-642-32292-1_2.

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Treue, Thorsten. "National Forest Inventory (1985–89)." In Politics and Economics of Tropical High Forest Management. Springer Netherlands, 2001. http://dx.doi.org/10.1007/978-94-010-0706-1_5.

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Conference papers on the topic "Improvement of forest inventory"

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Dietenberger, Steffen, Marlin M. Mueller, Markus Adam, et al. "Digital Forest Inventory Based on UAV Imagery." In IGARSS 2024 - 2024 IEEE International Geoscience and Remote Sensing Symposium. IEEE, 2024. http://dx.doi.org/10.1109/igarss53475.2024.10641040.

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Freißmuth, Leonard, Matias Mattamala, Nived Chebrolu, Simon Schaefer, Stefan Leutenegger, and Maurice Fallon. "Online Tree Reconstruction and Forest Inventory on a Mobile Robotic System." In 2024 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS). IEEE, 2024. https://doi.org/10.1109/iros58592.2024.10802455.

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Anurogo, Wenang, Desi Laurensia Pakpahan, Miratul Khusna Mufida, Metta Santiputri, and Daniel Sutopo Pamungkas. "Image Processing In Remote Sensing Data For Inventory-Based Estimation Of Forest Primary Production; An Assessment Support For Region Forest Inventories." In 2024 8th International Conference on Information Technology, Information Systems and Electrical Engineering (ICITISEE). IEEE, 2024. http://dx.doi.org/10.1109/icitisee63424.2024.10730335.

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Wijaya, Fajar W., Ibnu F. Kurniawan, and A. Taufiq Asyhari. "Automated Biomass Estimation Leveraging Instance Segmentation and Regression Models with UAV Aerial Imagery and Forest Inventory Data." In 2024 IEEE International Conference on Communication, Networks and Satellite (COMNETSAT). IEEE, 2024. https://doi.org/10.1109/comnetsat63286.2024.10862819.

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Melniks, Raitis, Janis Ivanovs, and Andis Lazdins. "Machine learning based classification of peat layer thickness in Latvia using national forest inventory data." In Research for Rural Development 2024 : annual 30th international scientific conference. Latvia University of Life Sciences and Technologies, 2024. https://doi.org/10.22616/rrd.30.2024.047.

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This study investigates the distribution and carbon content of organic soils in Latvia, leveraging machine learning techniques alongside remote sensing and National Forest Inventory (NFI) data to enhance the precision of organic soil mapping. Our approach integrates data from various sources, including airborne laser scanning (ALS) data, digital elevation models (DEM), depth-to-water (DTW) and wet area maps (WAM), and historical organic soil data. By classifying over 24,000 soil probing measurements across Latvia into distinct peat layer thickness categories, we develop a machine learning mode
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Huang, Jui-Chan, Tzu-Jung Wu, Yen-Chun Chiu, and Chunwei Lu. "Improvement of inventory control and forecast according to activity-based classifications: T company as an example." In APPLIED MATHEMATICS AND COMPUTER SCIENCE: Proceedings of the 1st International Conference on Applied Mathematics and Computer Science. Author(s), 2017. http://dx.doi.org/10.1063/1.4981954.

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Wang, Fangfang, and Han P. Bao. "Vessel Power Prediction and Its Impact on Emission Inventory." In ASME 2009 International Manufacturing Science and Engineering Conference. ASMEDC, 2009. http://dx.doi.org/10.1115/msec2009-84220.

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Current practice of emission estimate for ocean-going vessels largely relies on the conventional propeller law for determining power consumption. This practice tends to underestimate the actual emission when sea states and winds are ignored. This paper presents an evaluation of two approaches on the prediction of power of a container vessel. The first approach estimates vessel power as a function of the vessel speed according to the propeller law. While the propeller law approach is cost-effective and time-saving in computing vessel propulsion power, it generally under-estimates vessel propuls
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Eldred, Morgan Edward, Jimmy Thatcher, Abdul Rehman, Ivan Gee, and Abhijith Suboyin. "Leveraging AI for Inventory Management and Accurate Forecast – An Industrial Field Study." In SPE Symposium: Leveraging Artificial Intelligence to Shape the Future of the Energy Industry. SPE, 2023. http://dx.doi.org/10.2118/214457-ms.

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Abstract Accurately forecasting demand is one of the most undervalued and complex strategies that can significantly impact organizations bottom line. This industrial field study was co-conducted with Sumitomo Corporation's Tubular Division which primarily deals with high-grade Oil Country Tubular Goods (OCTG) globally. The presented solution demonstrates how with the right data set (drilling sequence data, stock data and consumption data), artificial intelligence can be used to build out a model that can quantify and predict future demand accurately thereby reducing cost, working capital and e
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Albakay, Naji, Michael Hempel, and Hamid Sharif. "Big Data Analytics for Proactively Optimizing Rolling Stock Maintenance." In 2019 Joint Rail Conference. American Society of Mechanical Engineers, 2019. http://dx.doi.org/10.1115/jrc2019-1253.

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Rolling stock, particularly of freight railroads, is currently maintained using regular preventative and corrective maintenance schedules. This maintenance approach recommends sets of inspections and maintenance procedures based on the average expected wear and tear across their inventory. In practice, however, this approach to scheduling preventative maintenance is not always effective. When scheduled too soon, it results in a loss of operating revenue, whereas when it is scheduled too late, equipment failure could lead to costly and disastrous derailments. Instead, proactive maintenance sche
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Sousa, F., J. Matos, and A. Camões. "Assessment and Forecast of the Culvert’s Performance Within a Road Infrastructure Management System. Literature Review." In IABSE Symposium, Wroclaw 2020: Synergy of Culture and Civil Engineering – History and Challenges. International Association for Bridge and Structural Engineering (IABSE), 2020. http://dx.doi.org/10.2749/wroclaw.2020.1157.

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&lt;p&gt;During the 21st century, within road infrastructure management there is a strong enforcement on preserving assets and prevent roadway collapses. As a result, public agencies have to implement periodic inspections and asset condition assessments. As pavements and bridges also culverts management play a special role in roadway safety, because they prevent roadbed erosion. The scope of this investigation is the assessment and forecast of culverts performance regarding rating condition and network reliability forecast. In addition, it intends to analyze hazards influence in the culvert se
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Reports on the topic "Improvement of forest inventory"

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Raile, Gerhard K. Nebraska's second forest inventory. U.S. Department of Agriculture, Forest Service, North Central Forest Experiment Station, 1986. http://dx.doi.org/10.2737/nc-rb-96.

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Malone, Thomas, Jingjing Liang, and Edmond C. Packee. Cooperative Alaska Forest Inventory. U.S. Department of Agriculture, Forest Service, Pacific Northwest Research Station, 2009. http://dx.doi.org/10.2737/pnw-gtr-785.

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Lazaro, Michelle, Olaf Kuegler, Sharon Stanton, Ashley Lehman, Joseph Mafnas, and Mikhail Yatskov. Guam’s forest resources: Forest Inventory and Analysis, 2013. U.S. Department of Agriculture, Forest Service, Pacific Northwest Research Station, 2020. http://dx.doi.org/10.2737/pnw-rb-270.

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Lazaro, Michelle, Olaf Kuegler, Sharon Stanton, Ashley Lehman, Joseph Mafnas, and Mikhail Yatskov. Guam’s forest resources: Forest Inventory and Analysis, 2013. U.S. Department of Agriculture, Forest Service, Pacific Northwest Research Station, 2020. http://dx.doi.org/10.2737/pnw-rb-270.

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Miles, Patrick D. Forest Inventory Mapmaker Users Guide. U.S. Department of Agriculture, Forest Service, North Central Research Station, 2001. http://dx.doi.org/10.2737/nc-gtr-221.

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6

Spencer, John S. Jr, W. Brad Smith, Jerold T. Hahn, and Gerhard K. Raile. Wisconsin's fourth forest inventory, 1983. U.S. Department of Agriculture, Forest Service, North Central Forest Experiment Station, 1988. http://dx.doi.org/10.2737/nc-rb-107.

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Smith, W. Brad. Wisconsin's fourth forest inventory: area. U.S. Department of Agriculture, Forest Service, North Central Forest Experiment Station, 1986. http://dx.doi.org/10.2737/nc-rb-97.

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Christensen, Glenn A., Karen L. Waddell, Sharon M. Stanton, and Olaf Kuegler. California's forest resources: Forest Inventory and Analysis, 2001–2010. U.S. Department of Agriculture, Forest Service, Pacific Northwest Research Station, 2016. http://dx.doi.org/10.2737/pnw-gtr-913.

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Holgerson, Justin, Sharon Stanton, Karen Waddell, Marin Palmer, Olaf Kuegler, and Glenn Christensen. Washington’s forest resources: Forest Inventory and Analysis, 2002–2011. U.S. Department of Agriculture, Forest Service, Pacific Northwest Research Station, 2018. http://dx.doi.org/10.2737/pnw-gtr-962.

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Lazaro, Michelle K., Olaf Kuegler, Sharon M. Stanton, Ashley D. Lehman, Mary L. Taufete’e, and Mikhail A. Yatskov. American Samoa’s forest resources: Forest inventory and analysis, 2012. U.S. Department of Agriculture, Forest Service, Pacific Northwest Research Station, 2019. http://dx.doi.org/10.2737/pnw-rb-269.

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