Jinghui Meng
Beijing Forestry University
23 Papers
22 Citations
Jinghui Meng is an academic researcher from Beijing Forestry University. The author has contributed to research in topics: Basal area & Forest management. The author has an hindex of 7, co-authored 13 publications.
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Papers
Estimation of Forest Structural Diversity Using the Spectral and Textural Information Derived from SPOT-5 Satellite Images
TL;DR: The results indicated that basal area, stand volume, the Shannon index, Simpson index, Pielou index, standard deviation of DBHs, diameter differentiation index and species intermingling index could be reliably predicted using the spectral or textural measures extracted from SPOT-5 satellite images.
Mapping Forest Health Using Spectral And Textural Information Extracted From Spot-5 Satellite Images
TL;DR: A comprehensive forest health indicator was derived using 15 forest stand attributes extracted from forest inventory plots and Pearson’s correlation analysis was performed to investigate the relationship between theForest health indicator and the spectral and textural measures extracted from SPOT-5 images.
Development of a Mixed-Effects Individual-Tree Basal Area Increment Model for Oaks (Quercus spp.) Considering Forest Structural Diversity
TL;DR: In this article, an individual tree basal area increment model considering forest structural diversity was developed for oaks (Quercus spp.) using data collected from 11,860 observations in 845 sample plots from the 7th (2004), 8th (2009), and 9th (2014) Chinese National Forest Inventory in south-central China.
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Distribution Patterns and Associations of Dominant Tree Species in a Mixed Coniferous-Broadleaf Forest in the Changbai Mountains
TL;DR: In this article, a plot was established with 1-ha area in a mixed coniferous-broadleaf forest in the Changbai Mountains, northeastern China for examining local forest processes, structure and succession.
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Does the Slope of the Self-thinning Line Remain a Constant Value across Different Site Qualities?—An Implication for Plantation Density Management
TL;DR: It is concluded that it is imperative to produce specific self-thinning lines for different site quality categories, as the slope of the self-Thinning line exhibited a steeper trend for sites of lower quality, which indicated increased self- Thinning or reduced self-tolerance.
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