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| 1 | Mapping aboveground biomass and its prediction uncertainty using LiDAR and field data, accounting for tree-level allometric and LiDAR model errors显示文摘Background: The increasing availability of remotely sensed data has recently challenged the traditional way of performing forest inventories, and induced an interest in model-based inference. Like traditional design-based inference, model-based inference allows for regional estimates of totals and means, but in addition for wall-to-wall mapping of forest characteristics. Recently Light Detection and Ranging(LiDAR)-based maps of forest attributes have been developed in many countries and been well received by users due to their accurate spatial representation of forest resources. However, the correspondence between such mapping and model-based inference is seldom appreciated. In this study we applied hierarchical model-based inference to produce aboveground biomass maps as well as maps of the corresponding prediction uncertainties with the same spatial resolution. Further, an estimator of mean biomass at regional level, and its uncertainty, was developed to demonstrate how mapping and regional level assessment can be combined within the framework of model-based inference.Results: Through a new version of hierarchical model-based estimation, allowing models to be nonlinear, we accounted for uncertainties in both the individual tree-level biomass models and the models linking plot level biomass predictions with LiDAR metrics. In a 5005 km2 large study area in south-central Sweden the predicted aboveground biomass at the level of 18 m×18 m map units was found to range between 9 and 447 Mg·ha^-1. The corresponding root mean square errors ranged between 10 and 162 Mg·ha^-1. For the entire study region, the mean aboveground biomass was 55 Mg·ha^-1 and the corresponding relative root mean square error 8%. At this level 75%of the mean square error was due to the uncertainty associated with tree-level models.Conclusions: Through the proposed method it is possible to link mapping and estimation within the framework of model-based inference. Uncertainties in both tree-level biomass models and models linking plot level biomass with LiDAR data are accounted for, both for the uncertainty maps and the overall estimates. The development of hierarchical model-based inference to handle nonlinear models was an important prerequisite for the study. | Svetlana Saarela AndréWästlund Emma Holmström Alex Appiah Mensah Sören Holm Mats Nilsson Jonas Fridman Göran Ståhl | 2020 | Forest Ecosystems2020，7，3： | 3 |
| 2 | Modeling pedestrian crowd behavior based on a cognitive model of social comparison theory 显示文摘 | Fridman N Kaminka G | 2010 | Computational and Mathematical Organization Theory (S1381-298X)2010，16，4： | 1 |
| 3 | Physical and biological mechanisms of direct plasma interaction with living tissue显示文摘 | Dobrynin D Fridman G Fridman C | 2009 | New Journal of Physics2009，11，11： | 1 |
| 4 | Application of nanose- cond-pulsed dielectric barrier discharge for biomedical treatment of topographically non-uniform surfaces 显示文摘 | Ayan H Staack D Fridman G | 2009 | Journal of Physics D: Applied Physics2009，42，12： | 1 |
| 5 | Theory and calculation of spinning of polymer fibres and filaments (stationary system) 显示文摘 | Kiselev V V Fridman G I Errnolaeva S F | 2004 | Fibre Chemistry2004，36，4： | 1 |
| 6 | Natural immunity to can- cer in humans显示文摘 | Bindea G Mlecnik B Fridman WH | 2010 | Curt Opin Immunol2010，22，2： | 1 |
| 7 | HiCIRF:A high-fidelity HF channel simulation显示文摘 | Nickisch L J ST John G Fridman S V | | 0，，04： | 1 |
| 8 | Applied plasma medicine显示文摘 | Fridman G Friedman G Gutsol A | 2008 | Plasma Process and Polymers2008，5，6： | 1 |
| 9 | Physical and biological mechanisms of direct plasma interaction with living tissue显示文摘 | Dobrynin D Fridman G Friedman G | 2009 | New Journal of Physics2009，11，11： | 1 |
| 10 | Physical and bio-logical mechanisms of direct plasma interaction with living !issue显示文摘 | Dobrynin D Fridman D Friedman G | 2009 | New J Phys2009，11，11： | 1 |
| 11 | Biological res-ponses of Bacillus stratosphericus to floating electrode-dielectric barrier discharge plasma treatment显示文摘 | Cooper M Fridman G Fridman A | 2010 | J Appl Microbiol2010，109，6： | 1 |
| 12 | Comparison of direct and indirect effects of non-thermal atmospheric-pressure plasma on bacteria显示文摘 | Fridman G~ Brooks A Balasubramanian M | 2007 | Plasma Processes and Polymers2007，4，4： | 1 |
| 13 | Rheology of thermoplastics under conditions of spiral flow and vibrations on extrusion显示文摘 | FRIDMAN M L PESHKOVSKY S L VINOGRADOV G V | 1981 | Polymer Engineering and Science1981，21，12： | 1 |
| 14 | Applied plasma medicine 显示文摘 | FRIDMAN G FRIDMAN G GUTSOL A | 2008 | Plasma Processes and Pol- ymers2008，5，6： | 1 |
| 15 | Comparison of direct and indirect effects of non-thermal atmospheric-pressure plasma on bacteria 显示文摘 | Fridman G Brooks A D | 2007 | Plasma Process Polym2007，4，： | 1 |
| 16 | Experimental assessment of pulsed corona discharge for treatment of VOC emissions显示文摘 | Sobacchi M G Saveliev A V Fridman A A | 2003 | Plasma Chem Plasma Process2003，23，2： | 1 |
| 17 | Use of ceramic material for filling joints in cell cathode blocks显示文摘 | Solonin G V Fridman M A Nikitenko V K | 2002 | Light Metals2002，，： | 1 |
| 18 | Second-order Preisach model of scalar hysteresis 显示文摘 | FRIDMAN G | 2000 | Physica B2000，275，3： | 1 |
| 19 | Tissue inhibitor ofmetalloproteinase-1 inhibits apoptosis of human breast epithelial cell 显示文摘 | Fridman R Kim HR | 1999 | Cancer Res1999，59，24： | 1 |
| 20 | Physical and biological mechanisms of direct plasma interaction with living tissue 显示文摘 | Fridman G Dobrynin D Friedman G | 2009 | New Journal of Physics2009，11，115020： | 1 |
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