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1. Prediction of Diameter Distributions with Multimodal Models Using LiDAR Data in Subtropical Planted Forests

Author:
Zhang, Zhengnan; Cao, Lin; Mulverhill, Christopher; Liu, Hao; Pang, Yong; Li, Zengyuan
Source:
Forests 2019 v.10 no.2
ISSN:
1999-4907
Subject:
sustainable forestry,   etc   ; Weibull statistics; biomass; forest inventory; forests; lidar; models; prediction; tree and stand measurements; China;     Show all 10 Subjects
Abstract:
... Tree diameter distributions are essential for the calculation of stem volume and biomass, as well as simulation of growth and yield and to understand timber assortments. Accurate and reliable prediction of tree diameter distributions is critical for optimizing forest structure compositions, scheduling silvicultural operations and promoting sustainable management. In this study, we investigated the ...
DOI:
10.3390/f10020125

2. Examining Changes in Stem Taper and Volume Growth with Two-Date 3D Point Clouds

Author:
Luoma, Ville; Saarinen, Ninni; Kankare, Ville; Tanhuanpää, Topi; Kaartinen, Harri; Kukko, Antero; Holopainen, Markus; Hyyppä, Juha; Vastaranta, Mikko
Source:
Forests 2019 v.10 no.5
ISSN:
1999-4907
Subject:
sustainable forestry,   etc   ; boreal forests; data collection; decision making; forest growth; forest inventory; models; planning; t-test; tree growth; trees;     Show all 11 Subjects
Abstract:
... Exact knowledge over tree growth is valuable information for decision makers when considering the purposes of sustainable forest management and planning or optimizing the use of timber, for example. Terrestrial laser scanning (TLS) can be used for measuring tree and forest attributes in very high detail. The study aims at characterizing changes in individual tree attributes (e.g., stem volume grow ...
DOI:
10.3390/f10050382

3. Creating Landscape-Scale Site Index Maps for the Southeastern US Is Possible with Airborne LiDAR and Landsat Imagery

Author:
Gopalakrishnan, Ranjith; Kauffman, Jobriath S.; Fagan, Matthew E.; Coulston, John W.; Thomas, Valerie A.; Wynne, Randolph H.; Fox, Thomas R.; Quirino, Valquiria F.
Source:
Forests 2019 v.10 no.3
ISSN:
1999-4907
Subject:
sustainable forestry,   etc   ; Landsat; Pinus taeda; USDA Forest Service; canopy; forest inventory; forests; lidar; models; plantations; prediction; regression analysis; remote sensing; site index; stand age; watersheds; Southeastern United States;     Show all 17 Subjects
Abstract:
... Sustainable forest management is hugely dependent on high-quality estimates of forest site productivity, but it is challenging to generate productivity maps over large areas. We present a method for generating site index (a measure of such forest productivity) maps for plantation loblolly pine (Pinus taeda L.) forests over large areas in the southeastern United States by combining airborne laser s ...
DOI:
10.3390/f10030234

4. Comparison of UAV LiDAR and Digital Aerial Photogrammetry Point Clouds for Estimating Forest Structural Attributes in Subtropical Planted Forests

Author:
Cao, Lin; Liu, Hao; Fu, Xiaoyao; Zhang, Zhengnan; Shen, Xin; Ruan, Honghua
Source:
Forests 2019 v.10 no.2
ISSN:
1999-4907
Subject:
sustainable forestry,   etc   ; Metasequoia glyptostroboides; Populus; Weibull statistics; aerial photogrammetry; canopy; carbon sinks; climate change; data collection; forest inventory; forest resources; forests; lidar; models; monitoring; remote sensing; spatial data; trees; unmanned aerial vehicles; China;     Show all 20 Subjects
Abstract:
... Estimating forest structural attributes of planted forests plays a key role in managing forest resources, monitoring carbon stocks, and mitigating climate change. High-resolution and low-cost remote-sensing data are increasingly available to measure three-dimensional (3D) canopy structure and model forest structural attributes. In this study, we compared two suites of point cloud metrics and the a ...
DOI:
10.3390/f10020145

5. Machine Learning Approaches for Estimating Forest Stand Height Using Plot-Based Observations and Airborne LiDAR Data

Author:
Lee, Junghee; Im, Jungho; Kim, Kyungmin; Quackenbush, Lindi J.
Source:
Forests 2018 v.9 no.5
ISSN:
1999-4907
Subject:
sustainable forestry,   etc   ; artificial intelligence; descriptive statistics; forest ecosystems; forest inventory; forest management; forest stands; forest types; landscapes; lidar; models; regression analysis; tree and stand measurements; trees; South Korea;     Show all 15 Subjects
Abstract:
... Effective sustainable forest management for broad areas needs consistent country-wide forest inventory data. A stand-level inventory is appropriate as a minimum unit for local and regional forest management. South Korea currently produces a forest type map that contains only four categorical parameters. Stand height is a crucial forest attribute for understanding forest ecosystems that is currentl ...
DOI:
10.3390/f9050268

6. Volume and Carbon Estimates for the Forest Area of the Amhara Region in Northwestern Ethiopia

Author:
Sisay, Kibruyesfa; Thurnher, Christopher; Belay, Beyene; Lindner, Gerald; Hasenauer, Hubert
Source:
Forests 2017 v.8 no.4
ISSN:
1999-4907
Subject:
sustainable forestry,   etc   ; carbon; ecosystems; forest growth; forest inventory; forest types; geographical distribution; land cover; management systems; models; net primary productivity; shrublands; tree and stand measurements; tree height; trees; woodlands; Ethiopia;     Show all 17 Subjects
Abstract:
... Sustainable forest management requires a continuous assessment of the forest conditions covering the species distribution, standing tree volume as well as volume increment rates. Forest inventories are designed to record this information. They, in combination with ecosystem models, are the conceptual framework for sustainable forest management. While such management systems are common in many coun ...
DOI:
10.3390/f8040122

7. Improved Multi-Sensor Satellite-Based Aboveground Biomass Estimation by Selecting Temporally Stable Forest Inventory Plots Using NDVI Time Series

Author:
Urbazaev, Mikhail; Thiel, Christian; Migliavacca, Mirco; Reichstein, Markus; Rodriguez-Veiga, Pedro; Schmullius, Christiane
Source:
Forests 2016 v.7 no.8
ISSN:
1999-4907
Subject:
sustainable forestry,   etc   ; Landsat; aboveground biomass; carbon sinks; data collection; deforestation; forest inventory; models; moderate resolution imaging spectroradiometer; national forests; normalized difference vegetation index; synthetic aperture radar; time series analysis; trees; tropical forests; Mexico;     Show all 16 Subjects
Abstract:
... Accurate estimates of aboveground biomass (AGB) are crucial to assess terrestrial C-stocks and C-emissions as well as to develop sustainable forest management strategies. In this study we used Synthetic Aperture Radar (SAR) data acquired at L-band and the Landsat tree cover product together with Moderate Resolution Image Spectroradiometer (MODIS) normalized difference vegetation index (NDVI) time ...
DOI:
10.3390/f7080169