Zengyuan Li

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Forest structural parameters, such as tree height and crown width, are indispensable for evaluating forest biomass or forest volume. LiDAR is a revolutionary technology for measurement of forest structural parameters, however, the accuracy of crown width extraction is not satisfactory when using a low density LiDAR, especially in high canopy cover forest.(More)
To investigate the forest height estimation potential and performance of different observation periods GLAS data in temperate region, this study uses the Northeast of China as test site. USFS FIA style field plots were collected. Two methods were used in this study to analyze different period data, i.e., i) the forest height analysis for those waveforms who(More)
Forest mapping in China and map update at large scale is the objective of Forest DRAGON Project. This paper aims at assessing the classification performance of ENVISAT ASAR Alternating Polarization (AP) data and detecting forest changes during the last decade by comparing the forest maps from ERS-1/2 tandem and ENVISAT ASAR AP data in Northeast (NE) China.(More)
We describe the design, implementation and performance of a novel airborne system, which integrates commercial waveform LiDAR, CCD (Charge-Coupled Device) camera and hyperspectral sensors into a common platform system. CAF's (The Chinese Academy of Forestry) LiCHy (LiDAR, CCD and Hyperspectral) Airborne Observation System is a unique system that permits(More)
In order to investigate the capability of PALSAR for forest volume density estimation in one warm temperate hilly forest test site in China, ground true data for Black Locust were collected through field work from May to June of 2008. The location of each stand was found according to its image feature in the high resolution CCD mosaic, and 1~4 plots were(More)
Optical remote sensing data have been considered to display signal saturation phenomena in regions of high aboveground biomass (AGB) and multi-storied forest canopies. However, some recent studies using texture indices derived from optical remote sensing data via the Fourier-based textural ordination (FOTO) approach have provided promising results without(More)