Global ETD Search
Search theses and dissertations gathered from participating repositories worldwide. Every result links back to the library that holds it. No account is needed.
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Showing 1 to 6 of 6 for “"Aboveground biomass (AGB)"”.
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Estimating Aboveground Biomass (AGB) Throughout the Pacific
Aboveground biomass (AGB) is a significant carbon pool in forests, making AGB a good indicator of forest health and carbon storage. AGB has been studied on multiple scales, in which allometric equations were developed to find relationships between AGB and tree parameters. However, despite the …
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Mapping shrub biomass in a boreal continental fen
Biomass estimation is a heavily explored topic in the literature, as biomass information can provide valuable insight into understanding an ecosystem’s health. However, few studies exist on quantifying aboveground biomass (AGB) in peatlands. This thesis summarizes how allometric equations and …
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Patterns and processes in tropical forests: an analysis of forest structure and function from long-term permanent plots in Venezuela, Northern South America
… drive variations in species diversity, aboveground carbon stocks and forest dynamics in general. In addition, long-term data contains valuable information on the potential effects that climate change may have for terrestrial ecosystems. Thus, management policies, including conservation …
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Assessment of ecosystem integrity of lowland dipterocarp forest ecosystem using remote sensing
… dipterocarp forest. Tree Basal Area (BA), aboveground biomass (AGB) and volume plot from plot data were used as dependent variables, while remote sensing data from Landsat, Pleiades and LiDAR were used as independent variables for model development. Tree plot census was carried out from 17 …
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Remote sensing of dynamics and aboveground biomass of seagrass in Tauranga Harbor (Bay of Plenty), New Zealand
… and estimation of seagrass distribution and biomass. The relatively small and patchy meadows of Zostera muelleri in this harbor can be mapped using a three-category classification (dense, sparse and none) with up to 91% accuracy for dense and 75% for sparse meadows using the machine learning …
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Examining UAV-based LiDAR, Multispectral, Hyperspectral and Precision Photogrammetry Approaches for Tidal Salt Marsh Environments
… is essential for reliable estimates of aboveground biomass (AGB), which in turn allows quantification of the carbon sequestration potential of the system. An interdisciplinary approach that understands underlying mechanisms and creates extensive and high-quality field databases is needed …