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Wei Wang, Xue Gao, Yukun Cheng, Yi Ren, Zhihui Zhang, Rui Wang, Junmei Cao and Hongwei Geng
High-throughput phenotypic identification is a prerequisite for large-scale identification and gene mining of important traits. However, existing work has rarely leveraged high-throughput phenotypic identification into quantitative trait locus (QTL) acqu...
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José-Henrique Camargo Pace,João-Vicente de Figueiredo Latorraca,Paulo-Ricardo Gherardi Hein,Alexandre Monteiro de Carvalho,Jonnys Paz Castro,Carlos-Eduardo Silveira da Silva
Pág. e015
Aim of study: Fast and reliable wood identification solutions are needed to combat the illegal trade in native woods. In this study, multivariate analysis was applied in near-infrared (NIR) spectra to identify wood of the Atlantic Forest species.Area of ...
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Kathrin Einzmann, Markus Immitzer, Sebastian Böck, Oliver Bauer, Andreas Schmitt and Clement Atzberger
With climate change, extreme storms are expected to occur more frequently. These storms can cause severe forest damage, provoking direct and indirect economic losses for forestry. To minimize economic losses, the windthrow areas need to be detected fast ...
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M. Huesca,S. Merino de Miguel,F. González-Alonso
Pág. 222 - 231
Aim of study: The following paper presents an inter-comparison of three global products: MCD45A1 (MODIS - MODerate resolution Imaging Spectrometer - Burned Area Product), L3JRC (Terrestrial Ecosystem Monitoring Global Burnt Area Product), and GLOBCARBON ...
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Lili Qi, Tom Gulya, Gerald J. Seiler, Brent S. Hulke, and Brady A. Vick
Pág. 241 - 249
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