Polarimetric decomposition for forest biomass retrieval [PDF]
2010 IEEE International Geoscience and Remote Sensing Symposium, 2010 In this paper, the decomposition of fully polarimetric SAR data into three canonical scattering mechanisms is investigated with respect to forest biomass retrieval. It is demonstrated that the dominant backscattering contribution depends strongly on the frequency, incidence angle, and stand condition.
Sauer, Stefan +3 more
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Forest biomass: linking energy to forest health [PDF]
, 2008 Dr. Kurt Mackes is an Assistant Professor at Colorado State University. He received both his B.S. and M.S. Degrees in Wood Science and Technology, concentrating in wood engineering from Colorado State University and a Ph.D. in Forestry and Forest Products from Virginia Tech.
Mackes, Kurt H., author
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Logistics issues of biomass : the storage problem and the multi-biomass supply chain [PDF]
, 2009 Biomass is a renewable energy source with increasing importance. The larger fraction of cost in biomass energy generation originates from the logistics operations.
Tolis, Athanasios J. +5 more
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Forest Stand Management and Biomass Growth [PDF]
Forests, 2021 Forests are natural or semi-natural systems that can generate services and products that humans use directly or indirectly [...]
Lo Monaco, Angela, Cantiani, Paolo
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Boreal forest biomass classification with TanDEM-X [PDF]
, 2012 High spatial resolution X-band interferometric SAR data from the TanDEM-X, in the operational DEM generation mode, are sensitive to forest structure and can therefore be used for thematic boreal forest classification of forest environments.
Kostas Papathanassiou +7 more
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A New General Allometric Biomass Model [PDF]
, 2011 To implement monitoring and assessment of national forest biomass, it is becoming the trend to develop generalized single-tree biomass models suitable for large scale forest biomass estimation.
Wei Sheng Zeng, Shou Zheng Tang
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Estimating tropical forest biomass with a combination of SAR image texture and Landsat TM data:an assessment of predictions between regions [PDF]
, 2012 Quantifying the above ground biomass of tropical forests is critical for understanding the dynamics of carbon fluxes between terrestrial ecosystems and the atmosphere, as well as monitoring ecosystem responses to environmental change.
Foody, G. M. +3 more
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Quantifying Dynamics in Tropical Peat Swamp Forest Biomass with Multi- Temporal LiDAR Datasets [PDF]
, 2013 Tropical peat swamp forests in Indonesia store huge amounts of carbon and are responsible for enormous carbon emissions every year due to forest degradation and deforestation.
Juilson Jubanski +5 more
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Modeling Compatible Single-Tree Aboveground Biomass Equations of Masson Pine (Pinus massoniana) in South China [PDF]
, 2012 In the background of facing up to the global climate change, it is becoming the inevitable demand to add forest biomass estimation to national forest resource monitoring.
Wei Sheng Zeng, Shou Zheng Tang
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Model-based inference for biomass estimation in a LiDAR sample survey in Hedmark County, Norway [PDF]
, 2011 In forest inventories, regression models are often applied to predict quantities such as biomass at the level of sampling units. In this paper, we propose a model-based inference framework for combining sampling and model errors in the variance ...
Erik Næsset +14 more
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