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National Forest Ecosystem Inventory System of China: Methodology and Applications

open access: yes, 2020
The technical framework of China’s Forest Ecosystem Inventory System (CFEIS) was recently developed based on ecological indicators assessed continuously in the field at forest ecosystem research stations and China’s Forest Resource Inventory (
Xiang Niu, Wenjun Wei, Bing Wang
core   +1 more source

Forest Site and Type Variability in ALS-Based Forest Resource Inventory Attribute Predictions over Three Ontario Forest Sites [PDF]

open access: yes, 2019
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 ...
Caspersen, John   +9 more
core   +1 more source

Use of UAV Photogrammetric Data for Estimation of Biophysical Properties in Forest Stands Under Regeneration

open access: yesRemote Sensing, 2019
The objective of this study was to assess the use of unmanned aerial vehicle (UAV) data for modelling tree density and canopy height in young boreal forests stands.
Stefano Puliti   +2 more
doaj   +1 more source

Harmonizing National Forest Inventories

open access: yesJournal of Forestry, 2009
Abstract National forest inventories are a primary source of data for national and large area assessments of sustainability and biodiversity and for international forest resource reporting. However, the ability of countries to produce compatible estimates using these data is impeded by the diversity of their national inventory ...
McRoberts R. E.   +9 more
openaire   +3 more sources

Number Preference as a Source of Measurement Error in the U.S. National Forest Inventory

open access: yes, 2023
Number preference, i.e., the human tendency to gravitate toward or away from specific numbers, is a potential source of measurement error in forest inventory. Identifying its presence is an important step to ensure unbiased results.
KaDonna C. Randolph
core   +1 more source

Photo Ecometrics for Forest Inventory

open access: yesAnnals of GIS, 1999
Abstract In this paper, we report the results obtained from the application of digital photogrammetry and hyperspectral data analysis for forest inventory purposes. Our long term goal is to provide low-cost yet accurate estimates of as many important forest biophysical parameters as can be measured and inferred with airborne digital cameras. Accuracies
Gong, Peng   +8 more
openaire   +3 more sources

Continuous Forest Inventory Plots for the UMN Cloquet Forestry Center

open access: yes, 2015
The University of Minnesota Cloquet Forestry Center (CFC) Continous Forest Inventory (CFI) plot network shows mapped locations of CFI plots established between 1959 and 2014 for use in ongoing forest inventory and analysis efforts at the CFC.The ...
UMN Department of Forest Resources   +1 more
core   +1 more source

A Tutorial on Model-Assisted Estimation with Application to Forest Inventory

open access: yes, 2020
National forest inventories in many countries combine expensive ground plot data with remotely-sensed information to improve precision in estimators of forest parameters. A simple post-stratified estimator is often the tool of choice because it has known
Gretchen G. Moisen   +2 more
core   +1 more source

Predicting Forest Inventory Attributes Using Airborne Laser Scanning, Aerial Imagery, and Harvester Data [PDF]

open access: yes, 2019
The aim of the study was to develop a new method to use tree stem information recorded by harvesters along operative logging in remote sensing-based prediction of forest inventory attributes in mature stands.
Hyyppa, Juha   +16 more
core   +1 more source

Cloquet Forestry Center Continuous Forest Inventory (1959-2014)

open access: yes, 2014
The Cloquet Forestry Center (CFC) is a field research and instructional station administrated by the University of Minnesota. This report compiles CFC Continuous Forest Inventory (CFI) results from the summer 2014 re-measurement of 402 permanent field ...
Wilson, David C   +3 more
core   +1 more source

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