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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 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)
Information on rice growing area in China is necessary to food security and green house gas emission. The objective of this paper is to assess the use of FBD mode (Fine Beam Double Polarisation) data of the Phased Array type L-band Synthetic Aperture Radar (PALSAR) onboard ALOS satellite to map rice growing areas. While past studies have demonstrated the(More)
Remote sensing is a valuable tool for estimating forest biomass in remote areas. This study explores retrieval of forest above-ground biomass (AGB) over a cold and arid region in Northwest China, using two different methods (non-parametric and parametric), field data, and three different remote sensing data: a SPOT-5 HRG image, multi-temporal(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)
Automated or semi automated tree detection and crown delineation using high spatial resolution remotely sensed imagery provides a potentially efficient means to acquire information needed for forest management decisions, sustainable forest management. The presented approach develops an improved mathematical morphology based marker-controlled watershed crown(More)