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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

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

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

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

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

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

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

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

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