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Aboveground forest biomass estimation with Landsat and LiDAR data and uncertainty analysis of the estimates. Author(s): LU, D.; CHEN, Q.; WANG, G.; MORAN, E.; BATISTELLA, M.; ZHANG, M.; LAURIN, G. V.; SAAH, D. Landsat Thematic mapper (TM) image has long been the dominate data source, and recently LiDAR has offered an important new structural data stream for forest biomass estimations. On the other hand, for... ... Repository: BDPA Publication year: 2012
Assessing uncertainty of seasonal probabilistic forecasts: distribution-free confidence limits. Author(s): MAIA, A. de H. N.; MEINKE, H. Probabilistic climate information, including climate forecasts, often rely on time series data of prognostic variables (Y, eg. rainfall or yield), represented as cumulative distribution probabilities... ... Repository: BDPA Publication year: 2006
Quantifying climate-related risks and uncertainties using Cox regression models. Author(s): MAIA, A. de H. N.; MEINKE, H. For applied climate risk management the probability distributions of decision variables such as rainfall, likely dates of climatic events (e.g. frost, onset of the wet season), crop yields or economic... ... Repository: BDPA Publication year: 2008
Development and uncertainty assessment of pedotransfer functions for predicting water contents at specific pressure heads. Author(s): KOTLAR, A. M.; LIER, Q. de J. van; BARROS, A. H. C.; IVERSEN, B. V.; VEREECKEN, H. There has been much effort to improve the performance of pedotransfer functions (PTFs) using intelligent algorithms, but the issue of covariate shift, i.e., different probability distributions in trai... ... Repository: BDPA Publication year: 2019
Sample design effects on soil unit prediction with machine: randomness, uncertainty, and majority map. Author(s): CARVALHO JUNIOR, W. de; PEREIRA, N. R.; FERNANDES FILHO, E. I.; CALDERANO FILHO, B.; PINHEIRO, H. S. K.; CHAGAS, C. da S.; BHERING, S. B.; PEREIRA, V. R.; LAWALL, S. Notwithstanding the importance of soil surveys, advances in digital soil mapping have mainly focused on mapping soil attributes or properties rather than developing digital maps of soil units or soil... ... Repository: BDPA Publication year: 2020
Modeling sugar cane yield with a process-based model from site to continental scale: uncertainties arising from model structure and parameter values. Author(s): VALADE, A.; CIAIS, P.; VUICHARD, N.; VIOVY, N.; CAUBEL, A.; HUTH, N.; MARIN, F. R.; MARTINÉ, J.-F. This study reveals the spatial and temporal patterns of uncertainty variability for a highly parameterized agro-LSM and calls for more systematic uncertainty analyses of such models. Repository: BDPA Publication year: 2014
Development, uncertainty estimation and application of a LC-MS/MS method for simultaneous determination of acrylamide and 4hydroxy2,5-dimethyl-3(2H)-furanone in baby food. Author(s): PETRARCA, M. H.; ROSA, M. A.; QUEIROZ, S. C. do N. de; GODOY, H. T. Acrylamide, a heatgenerated food contaminant, has been associated with neurotoxic effects in humans and was classified under group 2A as a probable human carcinogen by the International Agency Researc... ... Repository: BDPA Publication year: 2016
Performance and uncertainty of the all-wave net radiation space-time integrators by treetops. Author(s): ANGELOCCI, L. R.; PILAU, F. G.; SIMON, J.; MARIN, F. R. The quantification of electromagnetic energy exchanged between plants and their environments is important for ecophysiological studies. Measurement techniques have been developed for the determination... ... Repository: BDPA Publication year: 2023
Mapping units based on spatial uncertainty of magnetic susceptibility and clay content. Author(s): TEIXEIRA, D. D. B.; MARQUES JR. J.; SIQUEIRA, D. S.; VASCONCELOS, V.; CARVALHO Jr. O. A.; MARTINS, E. de S.; PEREIRA, G. T. Repository: BDPA Publication year: 2018
Uncertainty analysis in life cycle assessments applied to biorefineries systems: a critical review of the literature. Author(s): LIMA, R. S.; CALDEIRA-PIRES, A. de A.; CARDOSO, A. N. Repository: BDPA Publication year: 2020

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