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Previous work has shown the ability of waveform LiDAR sensors to accurately describe various land cover types [1] and biomass estimates made in the field [2]. What is lacking, however, is a way to describe the different structural components that are embedded in the digitized backscattered energy from the LiDAR pulse. This study aims to extract structural components from waveform LiDAR data in terms...
This study aimed to construct a comprehensive model examining the effects of the task environment on reverse logistics (RL) activities, and the resulting effects on both firm environmental and economic performance. Being the first of its kind to integrate three different literature streams: the task environment, RL activities, and performance, the study attempted to understand their linkages by conducting...
Biomass combustion Combined Heat and Power (CHP) technology uses biomass fuel to generate usable heat and electricity simultaneously in a single unit. Biomass is considered the renewable energy resource (RES) and its utilization has been of particular interest to meet the energy needs of modern society. Nevertheless biomass contains much less carbon, more oxygen and moisture content, consequently...
Measurement and management of vegetation biomass accumulation in ecosystems typically involves extensive field data collection, which can be expensive and time consuming, while leaving the user with relatively crude inputs to intricate biomass models. Light detection and ranging (LiDAR) remote sensing, which provides extensive height measurements of terrain and vegetation, has become an effective...
Accurately estimating rice biomass and yield is important not only for rice cropping management, but also for quantitatively understanding carbon cycle in agricultural ecosystem. This study integrated a rice canopy scattering model with Genetic Algorithm Optimization Tool (GAOT) to simulate rice biophysical parameters and to estimate rice biomass from L-band, HH polarization mode ALOS/PALSAR radar...
Due to the unique characteristics of electricity markets, the traditional methods to futures contracts pricing, which have been widely used to common commodity, can not be applied directly. This paper presents a Cournot game model for equilibrium pricing of futures electricity contracts. In the game, each Genco optimizes a generation asset allocation problem between monthly futures contracts and the...
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