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Chunying Ren on Muck Rack

Chunying Ren

As seen in: Wiley Online Library, arXiv, MDPI, Taylor & Francis Online
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Articles

Comparison of Medium-Coverage Whole-Genome Sequencing and Chromosomal Microarray in Prenatal Testing of Absence of Heterozygosity

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By Mengdie Zhang, Juan Li, Chunying Ren
| Wiley Online Library Verified
Mengdie Zhang and Juan Li contributed equally to this work and share the first authorship. Conflicts of Interest The authors declare no conflicts of interest. Data Availability Statement The data that support the findings of this study are available from the corresponding author upon reasonable request.
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Full article: Improving aboveground biomass estimation by integrating ICESat-2 LiDAR sampling and tree species stratification strategies using multi-source datasets

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By Pan Liu, Chunying Ren, Zongming Wang, Mingming Jia
| Taylor & Francis Online
?Mathematical formulae have been encoded as MathML and are displayed in this HTML version using MathJax in order to improve their display. Uncheck the box to turn MathJax off. This feature requires Javascript. Click on a formula to zoom. ABSTRACT Accurately estimating forest aboveground biomass (AGB) is essential for achieving suitable management of forests and reducing uncertainties in carbon dynamics assessment. Utilization of multi-source datasets provides extensive opportunities to estimate AGB.
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Evaluating the Potential of Sentinel-2 Time Series Imagery and Machine Learning for Tree Species Classification in a Mountainous Forest

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By Pan Liu, Chunying Ren, Zongming Wang, Mingming Jia
| MDPI
All articles published by MDPI are made immediately available worldwide under an open access license. No special permission is required to reuse all or part of the article published by MDPI, including figures and tables. For articles published under an open access Creative Common CC BY license, any part of the article may be reused without permission provided that the original article is clearly cited. For more information, please refer to https://www.mdpi.com/openaccess.
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