Development and Evaluation of Models for the Relationship between Tree Height and Diameter at Breast Height for Chinese-Fir Plantations in Subtropical China. by Yan-qiong Li, Xiang-wen Deng, Zhi-hong Huang, Wen-hua Xiang, Wen-de Yan, Pi-feng Lei, Xiao-lu Zhou, Chang-hui Peng

“…Tree diameter at breast height (dbh) and height are the most important variables used in forest inventory and management as well as forest carbon-stock estimation. …”
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Bayesian modeling of incompatible spatial data: A case study involving Post-Adrian storm forest damage assessment by Lu Zhang, Andrew O. Finley, Arne Nothdurft, Sudipto Banerjee

“…The proposed method is applied to a forest damage assessment for the 2018 Adrian storm in Carinthia, Austria, that uses high-resolution laser imaging detection and ranging (LiDAR) measurements and relatively coarse resolution forest inventory measurements. Extensive simulation studies demonstrate the proposed approach substantially improves inference for small prediction units.…”
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Production Costs and Markets for Pellet Chips: Case Studies in Northern Sweden by Gunnar Eriksson, Dimitris Athanassiadis, Dan Bergström, Tomas Nordfjell, Urban Bergsten

“…Data from the national forest inventory were used to estimate raw material costs. …”
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Determining spatial units for modeling regional nonnative invasive plant species spread in the southern US forestlands: using the state of Alabama as an example by Sunil Nepal, Martin A. Spetich, Zhaofei Fan

“…Taking the state of Alabama as an example, we used more than 5,000 permanent United States Department of Agriculture-Forest Service's Forest Inventory and Analysis (FIA) plots measured between 2001 and 2019 over three measurement cycles to test the suitable modeling unit for quantifying invasion patterns and associated factors for regional NNIPS monitoring and management. …”
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Historical forests of the Black Hills, South Dakota, USA, determined using General Land Office surveys by Robert E. Tatina, Brice B. Hanberry

“…To supplement historical reconstructions and accounts, we compared tree composition and densities (diameters ≥12.7 cm at 1.37 m above ground height) from historical General Land Office (GLO) records (years 1878 to 1915) and current Forest Inventory and Analysis (FIA) tree surveys (years 2011 to 2016) in the Black Hills Highlands of South Dakota. …”
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Optimization of Rocky Desertification Classification Model Based on Vegetation Type and Seasonal Characteristic by Chunhua Qian, Hequn Qiang, Feng Wang, Mingyang Li

“…Taking Guizhou province as the research area and based on MODIS and continuous forest inventory data in China, we used a machine learning algorithm to build a rocky desertification model with bedrock exposure rate, temperature difference, humidity, and other characteristic factors and considered improving the model accuracy from the spatial and temporal dimensions. …”
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Mapping Canopy Heights of Poplar Plantations in Plain Areas Using ZY3-02 Stereo and Multispectral Data by Mingbo Liu, Chunxiang Cao, Wei Chen, Xuejun Wang

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Estimation of Stand Type Parameters and Land Cover Using Landsat-7 ETM Image: A Case Study from Turkey by Ali İhsan Kadiogullari, Günay Çakir, Sedat Keles, Emin Zeki Baskent, Fatih Sivrikaya, Alkan Günlü

“…Remote sensing has been considered a low-cost, large-area coverage forest information resource ideally suited to broad-scale forest inventory objectives. The objective of this study is to determine stand type parameters such as crown closure, development stage and stand types, and land cover obtained from Landsat 7 ETM image and forest cover type map (stand type map). …”
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Horizontal Visibility in Forests by Mait Lang, Andres Kuusk, Kersti Vennik, Aive Liibusk, Kristina Türk, Allan Sims

“…Our chosen visibility prediction models support practical forest management, being based on common forest inventory parameters and on widely used forest structure indices.…”
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Modelling the abundance and temporal variation in the production of bilberry (Vaccinium myrtillus L.) in Finnish mineral soil forests by Miina, Jari, Hotanen, Juha-Pekka, Salo, Kauko

“…The percentage coverage of bilberry was predicted as a function of site and stand characteristics using the permanent sample plots of the National Forest Inventory (NFI) in 1995. The number of bilberries was predicted as a function of percentage coverage and stand characteristics using a sub-sample of the NFI plots in North Karelia. …”
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Analyzing temporal and spatial forest carbon storage using Google Plus Code: a case study of Zijin Mountain National Forest Park, China by Xiaorong Wen, Li Yang, Yanli Zhang, Qiulai Wang, Jinsheng Ye, Matthew McBroom

“…Results For this proof-of-concept case study, forest inventory data from 1987, 2002, and 2019 for the Zijin Mountain National Forest Park in Jiangsu Province, China was analyzed based on Google Plus Code grid/cell. …”
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Accuracy assessment of the global forest watch tree cover 2000 in China by Di Zhang, Hao Wang, Xu Wang, Zhi Lü

“…We then estimated China’s forest area after considering the data uncertainty, made a comparison with the data reported by the National Forest Inventory of China (CNFI) to understand where and how the land-based inventory differs from the presence/absence-based remote sensing data. …”
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Canopy stratification in peatland forests in Finland by Hotanen, Juha-Pekka, Maltamo, Matti, Reinikainen, Antti

“…Abundance and species number of the tree and shrub vegetation in different canopy layers were analysed according to site quality class and drainage succession phase on permanent sample plots on spruce mires (n = 268) and pine mires (n = 628) in the Finnish National Forest Inventory in 1995. The abundances based on the crown coverage were compared with the abundances based on the parallel basal area of the tree stand. …”
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Mapping Forest Health Using Spectral and Textural Information Extracted from SPOT-5 Satellite Images by Jinghui Meng, Shiming Li, Wei Wang, Qingwang Liu, Shiqin Xie, Wu Ma

“…In the present study, we first derived a comprehensive forest health indicator using 15 forest stand attributes extracted from forest inventory plots. Second, Pearson’s correlation analysis was performed to investigate the relationship between the forest health indicator and the spectral and textural measures extracted from SPOT-5 images. …”
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Tagging and Mapping of Mixed Dipterocarp Mountain Forest at Species Level using an Airborne Hyperspectral Imager by Kamaruzaman Jusoff

“…Forest inventories describe the quantity and quality of trees and other organisms of the forest and the characteristics of the land on which the forest grows. …”
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Mapping Dominant Tree Species of German Forests by Torsten Welle, Lukas Aschenbrenner, Kevin Kuonath, Stefan Kirmaier, Jonas Franke

“…In the framework of the national forest inventory (NFI) in Germany, data on forest tree species are collected in sample plots, but there is a lack of a full coverage map of the tree species distribution. …”
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Tree species classification using airborne LiDAR – effects of stand and tree parameters, downsizing of training set, intensity normalization, and sensor type by Korpela, Ilkka, Ørka, Hans, Maltamo, Matti, Tokola, Timo, Hyyppä, Juha

“…Tree species identification constitutes a bottleneck in remote sensing-based forest inventory. In passive images the differentiating features overlap and bidirectional reflectance hampers analysis. …”
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Evaluation of afforestation success by broad leaf species in Arak city by Asadollah Mataji, Reza Akhavan, Syavosh Aghakhani

“…Line sampling method was used for forest inventory regarding to the stripped shaped of the forest area by 200m intervals between plots. …”
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Phylogenetic constraints do not explain the rarity of nitrogen-fixing trees in late-successional temperate forests. by Duncan N L Menge, Jeanne L DeNoyer, Jeremy W Lichstein

“…Here we test the phylogenetic constraints hypothesis.Using U.S. forest inventory data, we derived successional indices related to shade tolerance and stand age for N-fixing trees, non-fixing trees in the 'potentially N-fixing clade' (smallest angiosperm clade that includes all N fixers), and non-fixing trees outside this clade. …”
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Relation between selected indicators of forest stand diversity and quality of timber production in young stands aged up to 40 years by J. Merganič, R. Marušák, K. Merganičová, R. Stolariková, L. Tipmann

“…The study is based on the forest inventory data from University Forest Enterprise Kostelec nad Černými lesy, Czech Republic, performed from 2009 to 2011. …”
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