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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)
Agricultural crops classification capability of single band full polarization SAR data with different classification methods was evaluated using AIRSAR L-band polarimetric SAR data. It has been found that if only maximum likelihood (ML) classifiers, such as Wishart-maximum likelihood (WML) and normal distribution probability density functions (PDF)-based(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)
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)