نتایج جستجو برای: biomass estimations

تعداد نتایج: 78176  

2015
Lingling Wang Zhiwei Xu

In this study, the structures of external costs are built in line with coal-fired and biomass power plant life cycle activities in Northeast China. The external cost of coal-fired and biomass power plants was compared, using the lifecycle approach. In addition, the external costs of a biomass power plant are calculated for each stage for comparison with those of a coal-fired power plant. The re...

2012
D. C. Bragg

Carbon sequestration in forests is a growing area of interest for researchers and land managers. Calculating the quantity of carbon stored in forest biomass seems to be a straightforward task, but it is highly dependent on the function(s) used to construct the stand. For instance, there are a number of possible equations to predict aboveground live biomass for loblolly pine (Pinus taeda) growin...

2016
Dongsheng Chen Xingzhao Huang Xiaomei Sun Shougong Zhang Eric J. Jokela

Accurate biomass estimations are important for assessing and monitoring forest carbon storage. Bayesian theory has been widely applied to tree biomass models. Recently, a hierarchical Bayesian approach has received increasing attention for improving biomass models. In this study, tree biomass data were obtained by sampling 310 trees from 209 permanent sample plots from larch plantations in six ...

Journal: :Remote Sensing 2021

The estimation of forest biomass by remote sensing is constrained different uncertainties. An important source uncertainty the border effect, as tree crowns are not plot borders. Lidar systems record canopy height within a certain area, while ground-truth commonly aboveground inventory trees geolocated at their stem positions. Hence, reaching out or into observed area contributing to in canopy-...

 Standing biomass of coral fish was estimated by the Underwater Visual Census method(UVCm) and belt transect in five stations (St.) (dead corals, continuous and developed reefs, discrete and undeveloped reefs, Acropora spp. in small amounts and rocky reefs), in Larak Island from Sep.2020 to Apr.2021seasonally.The maximum and minimum of standing biomass was estimated  908.79 (Kg/Km2) and 235.85 ...

2016
Vu Thanh Nam Marijke van Kuijk Niels P. R. Anten

Allometric regression models are widely used to estimate tropical forest biomass, but balancing model accuracy with efficiency of implementation remains a major challenge. In addition, while numerous models exist for aboveground mass, very few exist for roots. We developed allometric equations for aboveground biomass (AGB) and root biomass (RB) based on 300 (of 45 species) and 40 (of 25 species...

Journal: :ISPRS Int. J. Geo-Information 2016
Xiaohuan Xi Tingting Han Cheng Wang Shezhou Luo Shaobo Xia Feifei Pan

Forest biomass is an important parameter for quantifying and understanding biological and physical processes on the Earth’s surface. Rapid, reliable, and objective estimations of forest biomass are essential to terrestrial ecosystem research. The Geoscience Laser Altimeter System (GLAS) produced substantial scientific data for detecting the vegetation structure at the footprint level. This stud...

2004
K. VALTA-HULKKONEN A. KANNINEN P. PELLIKKA

Remote sensing and geographical information system (GIS) methods combined with ground estimations were used to assess the effects of rehabilitation on the aquatic vegetation of a shallow, eutrophic lake in Finland. Aerial photograph interpretation was used to study the distribution of aquatic vegetation before (1953, 1996) and after (2001) rehabilitation in 1997. A digital elevation model was d...

2014
Cecilia Leal-Ramirez Hector Echavarria-Heras

Despite the ecological importance of eelgrass, nowadays anthropogenic influences have produced deleterious effects in many meadows worldwide. Transplantation plots are commonly used as a feasible remediation scheme. The characterization of eelgrass biomass and its dynamics is an important input for the assessment of the overall status of both natural and transplanted populations. Particularly, ...

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