D. Yu | People Pages: Find employees & contact details | University of Twente

Expertise

Earth and Planetary Sciences
- Model
- Ecosystem
- Carbon Flux
- Plant
- Soil
- Pilotless Aircraft
- Shrub
- Transferring

Organisations

Danyang Yu is a post-doctor researcher at the Faculty Geo-Information Science and Earth Obervataion (ITC) in University of Twente. He holds a PhD in Agro-Hydrological Science from the University of Wuhan. His research focuses on the interactions among radiation transfer, soil water/heat movement, and plant growth in Soil-Plant-Atmosphere Continuum (SPAC) system. He employs state-of-the-art process-based terrestrial ecosystem model and remote sensing technolgies to gain a comprehensive understanding of these interactions. He is dedicated to fusing multiple-source information from remote sensing data into the modeling process to reduce the uncertainties of model predictions on cropping or ecosystem systems. Through these efforts, he aims to contribute to the understanding of the relationships between plant physiology and spctrum response.

Publications

2024

Uncertainty reduction for precipitation prediction in North America (2024)PLoS ONE, 19(5 May), 1-18. Article e0301759. Lou, D., Berghuijs, W. R., Ullah, W., Zhu, B., Shi, D., Hu, Y., Li, C., Ullah, S., Zhou, H., Chai, Y. & Yu, D.https://doi.org/10.1371/journal.pone.0301759Understanding the effects of revegetated shrubs on fluxes of energy, water, and gross primary productivity in a desert steppe ecosystem using the STEMMUS-SCOPE model (2024)Biogeosciences, 21(4), 893-909. Tang, E., Zeng, Y., Wang, Y., Song, Z., Yu, D., Wu, H., Qiao, C., van der Tol, C., Du, L. & Su, Z.https://doi.org/10.5194/bg-21-893-2024

2023

Understanding the Effects of Revegetated Shrubs on Fluxes of Energy, Water and Gross Primary Productivity in a Desert Steppe Ecosystem Using STEMMUS-SCOPE Model (2023)[Dataset Types › Dataset]. Zenodo. Tang, E., Zeng, Y., Wang, Y., Song, Z., Yu, D., Wu, H., Qiao, C., van der Tol, C., Du, L. & Su, Z.https://doi.org/10.5281/zenodo.7986565UAV flight height impacts on wheat biomass estimation via machine and deep learning (2023)IEEE Journal of selected topics in applied earth observations and remote sensing, 16, 7471-7485. Zhu, W., Rezaei, E. E., Nouri, H., Sun, Z., Li, J., Yu, D. & Siebert, S.https://doi.org/10.1109/JSTARS.2023.3302571Understanding the Effect of Revegetated Shrubs on Energy, Water and Carbon Fluxes in a Desert Steppe Ecosystem Using STEMMUS-SCOPE Model (2023)[Dataset Types › Dataset]. Zenodo. Tang, E., Zeng, Y., Wang, Y., Song, Z., Yu, D., Wu, H., Qiao, C., van der Tol, C., Du, L. & Su, Z.https://doi.org/10.5281/zenodo.7986566STEMMUS-SCOPE for PLUMBER2:: Understanding water-energy-carbon fluxes with a physically consistent dataset across thesSoil-plant-atmosphere (SPAC) continuum (2023)[Contribution to conference › Abstract] EGU General Assembly 2023. Wang, Y., Zeng, Y., Alidoost, F., Song, Z., Yu, D., Tang, E., Han, Q., Retsios, V., Girgin, S., van der Tol, C. & Su, Z.https://doi.org/10.5194/egusphere-egu23-16633Towards an open digital twin of soil-plant system following Open Science (2023)[Contribution to conference › Abstract] EGU General Assembly 2023. Zeng, Y., Alidoost, F., Schilperoort, B., Liu, Y., Grootes, M. W., Wang, Y., Song, Z., Yu, D., Tang, E., Han, Q., van der Tol, C., Zurita-Milla, R., Yang, M. Y., Girgin, S., Dzigan, Y. & Su, Z.https://doi.org/10.5194/egusphere-egu23-9786Integrated modeling of radiation transfer, plant growth, and the movement of soil moisture in the soil–plant–atmosphere continuum (STEMMUS–SCOPE-WOFOST v1.0.0) (2023)[Contribution to conference › Abstract] EGU General Assembly 2023. Yu, D., Zeng, Y., Wang, Y. & Su, Z.https://doi.org/10.5194/egusphere-egu23-2531Understanding the effects of revegetated shrubs on energy, water and carbon fluxes in a semiarid steppe ecosystem using STEMMUS-SCOPE Model (2023)[Contribution to conference › Abstract] EGU General Assembly 2023. Tang, E., Zeng, Y., Wang, Y., Song, Z., Yu, D., Wu, H., Qiao, C., van der Tol, C., Du, L. & Su, Z.https://doi.org/10.5194/egusphere-egu23-2749

2022

Deep convolutional neural networks for estimating maize above-ground biomass using multi-source UAV images: a comparison with traditional machine learning algorithms (2022)Precision agriculture, 24, 92-113. Yu, D., Zha, Y., Sun, Z., Li, J., Jin, X., Zhu, W., Bian, J., Ma, L., Zeng, Y. & Su, Z.https://doi.org/10.1007/s11119-022-09932-0

Research profiles

Address

University of Twente

Langezijds (building no. 19), room 1117
Hallenweg 8
7522 NH Enschede
Netherlands

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