Zhengyang Hou

Zhengyang Hou
Beijing Forestry University · College of Forestry

Doctor of Philosophy

About

28
Publications
4,012
Reads
How we measure 'reads'
A 'read' is counted each time someone views a publication summary (such as the title, abstract, and list of authors), clicks on a figure, or views or downloads the full-text. Learn more
335
Citations
Introduction
Conducting research at the interface of statistics, remote sensing, and forest inventory including National Forest Inventory / Forest Inventory and Analysis.
Additional affiliations
January 2019 - December 2019
University of Minnesota Twin Cities
Position
  • Researcher
March 2017 - December 2018
University of Nevada, Reno
Position
  • PostDoc Position
February 2015 - February 2017
University of Eastern Finland
Position
  • PostDoc Position

Publications

Publications (28)
Article
Three-dimensional (3D) vegetation structure is vital in maintaining the functions of forest ecosystems and species diversity. Temperate forests of Northeast Asia support a variety of fauna but is also affected by large herbivore disturbances or management practice (e.g., livestock grazing), resulting in varying degrees of habitat degradation and fr...
Article
Full-text available
Key message Including individual-tree competition indices as predictor variables could significantly improve the performance of crown width and length models for Chinese fir ( Cunninghamia lanceolata (Lamb.) Hook.). Moreover, distance-dependent competition indices are superior to distance-independent ones when modeling crown width and length. Compa...
Article
Full-text available
Forest understory vegetation plays an important role in providing food, nutrition and habitat for wildlife. The impact of wildlife foraging on forest understory biomass are often subtle processes that are difficult to capture using traditional field measurements. Field measurements are labor-intensive and impractical to cover and detect understory...
Article
Biomass inventories that employ airborne laser scanning (ALS) require models that can predict tree diameter at breast height (DBH) from ALS-derived tree dimensions, as ALS can usually not directly measure DBH due to scanning angle, inadequate point density and canopy obstruction. Although some work has been done in using correlation as a measure of...
Article
Model-based inference is an alternative to probability-based inference for small areas or remote areas for which probability sampling is difficult. Model-based mean square error estimators incorporate three components: prediction covariance, residual variance, and residual covariance. The latter two components are often considered negligible, parti...
Article
Large-diameter trees (taking DBH > 30 cm to define large trees) dominate the dynamics, function and structure of a forest ecosystem. The aim here was to employ sparse airborne laser scanning (ALS) data with a mean point density of 0.8 m À2 and the non-parametric k-most similar neighbour (k-MSN) to predict tree diameter at breast height (DBH) distri...
Article
Avian species persistence in a forest patch is strongly related to the degree of isolation and size of a forest patch and the vegetation structure within a patch and its matrix are important predictors of bird habitat suitability. A combination of space-borne optical (Landsat), ALOS-PALSAR (radar), and airborne Light Detection and Ranging (LiDAR) d...
Article
The planning of wood procurement requires reliable information about the species-specific timber assortments on which the economic value of a production forest depends. The timber assortments refer to the stem volumes of the sawlog and pulpwood fractions, specified in terms of both timber quality and allowable log dimensions, e.g., the stem diamete...
Article
We aim to improve the predictive mapping of stem volume with airborne laser scanning (ALS) data acquired in Laos by adapting the area-based approach (ABA) to a tropical context. Separating laser returns of bushes from main stories with a cutoff threshold is a step very important to the ABA. The adaptation focused here on applying global and plot-ad...
Article
We aimed to investigate how the spatial pattern of a forest attribute is connected with design-based sampling efficacy in relation to the selection of plot size and quantity, expressed together by the cruise percent (CP). Spatially random or aggregated patterns of stem volume (m3/ha) with various hierarchical strengths were generated as model plant...
Article
Full-text available
The individual tree detection (ITD) using airborne laser scanning (ALS) data suffers from the problem of underestimating forest total attributes, caused by deficient detectability of suppressed trees. A new method is proposed in this study to retrieve height information for suppressed trees in order to improve the estimation of forest total stem vo...
Article
Diameter distribution is essential for calculating stem volume and timber assortments of forest stands. A new method was proposed in this study to improve the estimation of stem volume and timber assortments, by means of combining the Area-based approach (ABA) and individual tree detection (ITD), the two main approaches to deriving forest attribute...
Conference Paper
Remarkably relevant to the global greenhouse gas emissions, tropical forests are of substantial meaning in battle against the climate change. In line with the Three-Tier accuracies of carbon inventory proposed by the International Panel on Climate Change, airborne laser scanning (ALS) has shown potential in favoring tropical forest mapping with top...
Article
As a spatial source of forest data, the forest stand is the basic unit for forest management and planning. Computerized segmentation of a diverse range of remote sensing material has been studied for delineating stands in various forest types, but is relatively rare under tropical conditions. In line with REDD+, which advocates sustainable forest m...
Article
Full-text available
In this study, the potential of remote sensing in tropical forests is examined in relation to the diversification of sensors. We report here on the comparison of alternative methods that use multisource data from Airborne Laser Scanning (ALS), Airborne Color Infrared Photograph (CIR), Quickbird and ALOS AVNIR-2 to estimate stem volume and basal are...
Article
Relative radiometric correction methods have been widely used to correct ground illumination difference in multi-temporal satellite data. ALOS (Advanced Land Observing Satellite) data starts to play an important role in forest and carbon assessment, such as the REDD (Reducing Emissions from Deforestation and forest Degradation) program. The objecti...
Article
In this study, the potential of remote sensing in tropical forests is examined in relation to the diversification of sensors. We report here on the comparison of alternative methods that use multisource data from Airborne Laser Scanning (ALS), Airborne CIR and ALOS AVNIR-2 to estimate stem volume and basal area, in Laos. Multivariate linear regress...

Network

Cited By