Forest aboveground biomass (AGB) was mapped throughout China using large footprint LiDAR waveform data from the Geoscience Laser Altimeter System (GLAS) onboard NASA’s Ice, Cloud, and land Elevation Satellite (ICESat), Moderate Resolution Imaging Spectro-radiometer (MODIS) imagery forest inventory data. The entire of divided into seven zones according to geographic characteristics forests. AGB prediction models were separately developed for different types in each at GLAS level parameters...

We use machine learning algorithms to investigate various aspects of residential electricity consumption for households in the Republic Ireland. Temperature, day week, and month year have an apparent causal effect on consumption. The prevalence six distinct intra-day load profiles, identified by clustering, changes dramatically between weekdays weekends as well seasonally. Key socio-demographic dwelling characteristics associated with annual profiles include household makeup size occupation...

Mapping of forest biomass over large area and in higher accuracy becomes more important for researches on global carbon cycle climate change. The feasibility problems estimations based lookup table (LUT) methods using ALOS PALSAR data are investigated this study. Using the structures from a growth model as inputs to three dimensional radar backscattering model, is built. Two types searching (Nearest Distance (ND) Threshold (DT)) used find solutions table. When simulated dataset test table,...

The digital elevation model from the Shuttle Radar Topography Mission (SRTM) and National Elevation Dataset (NED) have been used to estimate forest canopy height. Most of such studies conducted over flat areas; method performance has not carefully examined mountainous areas. This study, which is two test sites located in California New Hampshire, reveals that co-registration these models (DEMs) crucial ensuring quality results. image interferometric SAR processing adapted DEMs. height Laser...

Fault diagnosis plays a key role in the safe and efficient operation of industrial processes. With emerging big data era, analytic methods based on probabilistic representations have attracted growing research interest. In this brief, dynamic minimax probability machine (DMPM) approach framework is proposed for diagnosing process faults, without imposing any assumptions distributions. addition, an information criterion put forward to determine optimal dimensionality reduction order time lags...

The thermal performance data, obtained from Tennessee Valley Authority (TVA) Sequoyah nuclear power plant showed that the heat rate was changing constantly and probably losing some megawatts of electric due to variation rate. model thermodynamic process using a neural network trained on actual measurements over one-year period time. represented as it actually existed in plant, dynamic range data covered normal variables during typical annual cycle. A sensitivity study applied extract...

A new hybrid optimization algorithm GSA-ABC based on the artificial bee colony (ABC) and gravitational search (GSA) is presented. It a of two basic algorithms, which updating not only by mechanism ABC but also means GSA. Experimental results show that better performance.

The Global Digital Elevation Model produced from stereo images of Advanced Spaceborne Thermal Emission and Reflection Radiometer data (ASTER GDEM) covers land surfaces between latitudes 83°N 83°S. Phased Array type L-band Synthetic Aperture Radar (PALSAR) onboard Land Observing Satellite (ALOS) collected many SAR since it was launched on 24 January 2006. combination ALOS/PALSAR interferometric ASTER GDEM should provide the penetration depth assuming elevation vegetation canopy top. It would...

The interpolation based on prediction-error filter (PEF) is one of the most effective approaches recently proposed for seismic data reconstruction. However, number regression equations estimating coefficients will be much less when missing many traces, which makes estimated inaccurate or even impossible to estimated. To improve accuracy coefficients, in this paper, we design a multiscale and multidirectional PEF, can increased more, use it First, estimate adaptive different directional PEFs...

The estimation of forest biomass from synthetic aperture radar (SAR) data is limited by the lack structure information. Interferometric (InSAR) provides a means for extraction structure. crucial issue in InSAR application to parameterize and link parameter with observations. Model-based analysis enables exploring theoretical linkages between observations free temporal decorrelation effects. In this paper, semicoherent model (SCSR) was first developed verified. A series simulations at L-band...

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Interferometric SAR (InSAR)data have been used to measure canopy height. Polarimetric interferometric (PolInSAR) data can be derive height without using ground surface elevation data. But in most cases, only single polarization InSAR are available and the of forested areas is needed get scattering phase center. On contrary, relatively easy obtain by Stereo imagery. In this study feasibility estimation forest SRTM-DEM ASTER- GDEM was investigated. The ASTER-GDEM firstly resampled pixel size...

Sensitivity analysis is used to ascertain important variables for a nuclear power plant system in order control the variation of thermal performance. In this project, performance data have been taken weekly from Tennessee Valley Authority (TVA) Sequoyah units one and two, which include about 40 measured or calculated variables. Recorded indicate that heat rate changing constantly, may lose some megawatts electric due variation. Hybrid neural networks modeling provide useful information...

3D Lidar waveform and radar backscatter models based on Radiative Transfer theory were used to simulate backscattering of various plots with different stand ages structures, which generated using forest growth model. The inversion for estimating Above Ground Biomass (AGB) Average Stand Height (ASH) derived from the combined simulated database large footprint waveforms L-band polarimetric SAR stepwise analysis method. procedures then applied NASA LVIS ALOS PALSAR data retrieve parameters...

This paper employs a method based on parameterized first-order radiative transfer (RT) model at L-band to evaluate the aboveground biomass of forest area using Soil Moisture and Ocean Salinity (SMOS) data. A comprehensive database, including structure information L-system corresponding scattering properties, was established. Then RT retrieval used acquire parameters. The Look-Up Table find proper value. We retrieved single albedo optical thickness then found value which approximated...

Terrestrial laser scanning can provide high-resolution, three-dimensional (3D) surveys of forest canopy surfaces. Applications that aim to build 3D scenes or make plot-level canopy-level assessments may ultimately require co-registration range images from multiple viewpoints. Numerous challenges are reported in the images. A method for registration multiview acquired areas using an inclinometer together with positions tree trunks and ground surface information is proposed this study. Two six...