General Lab Information

Daryl (Dedi) Yang

PhD Student, Department of Ecology & Evolution, Stony Brook University, Terrestrial Ecosystem Science & Technology (TEST), Environmental and Climate Sciences Department

Daryl (Dedi) Yang

Brookhaven National Laboratory

Environmental and Climate Sciences Department
Bldg. 490A, Room 11-133
P.O. Box 5000
Upton, NY 11973-5000

(631) 344-3361
dediyang@bnl.gov

Daryl Yang is a Ph.D. student and NASA FINESST Fellow with the TEST group and a member of the Department of Ecology and Evolution at Stony Brook University. He is interested in improving ecological understanding and model representation of plant biodiversity, functional traits, ecological scaling, and ecosystem functioning in high-latitude systems. 

Research | Education | Publications


Research Activities

2017-Present:  Brookhaven National Laboratory, Upton, NY & Stony Brook University, Stony Brook, NY.

Education

Stony Brook University, New York, USA; PhD candidate in Ecology and Evolution, 2017-Present

Beijing Normal University, Beijing, China; Master of Science in Global Environmental Change, 2014-2017

Central South University, Changsha, China; Bachelor of Science in Surveying and Mapping Engineering, 2010-2014

Selected Publications

  • Yang D, Morrison BD, Hanston W, et al (2023) Integrating very-high-resolution UAS data and airborne imaging spectroscopy to map the fractional composition of Arctic plant functional types in Western Alaska. Remote Sensing of Environment 286:113430. https://doi.org/10.1016/j.rse.2022.113430
  • Wang J, Song G, Liddell M, et al (2023) An ecologically-constrained deep learning model for tropical leaf phenology monitoring using PlanetScope satellites. Remote Sensing of Environment 286:113429. https://doi.org/10.1016/j.rse.2022.113429
  • Yang D, Morrison BD, Davidson KJ, et al (2022) Remote sensing from unoccupied aerial systems: Opportunities to enhance Arctic plant ecology in a changing climate. Journal of Ecology 110:2812–2835. https://doi.org/10.1111/1365-2745.13976
  • Thoman RL, Druckenmiller ML, Moon TA, et al (2022) The Arctic. Bulletin of the American Meteorological Society 103:S257–S306. https://doi.org/10.1175/bams-d-22-0082.1
  • Nelson PR, Maguire AJ, Pierrat Z, et al (2022) Remote Sensing of Tundra Ecosystems Using High Spectral Resolution Reflectance: Opportunities and Challenges. Journal of Geophysical Research: Biogeosciences 127:. https://doi.org/10.1029/2021jg006697
  • Frost GV (2021) NOAA Arctic Report Card 2021: Tundra Greenness. United States National Oceanic and Atmospheric Administration Office of Oceanic and Atmospheric Research Global Ocean Monitoring and Observing (GOMO) Program. https://doi.org/10.25923/8N78-WP73
  • Yang D, Morrison BD, Hantson W, Breen AL, McMahon A, Li Q, Salmon VG, Hayes DJ, Serbin SP (2021) Landscape-scale characterization of Arctic tundra vegetation composition, structure, and function with a multi-sensor unoccupied aerial system. Environmental Research Letters 16:085005. doi: 10.1088/1748-9326/ac1291
  • Liu X, Guo L, Cui X, Butnor JR, Boyer EW, Yang D, Chen J, Fan B (2021) An Automatic Processing Framework for In Situ Determination of Ecohydrological Root Water Content by Ground-Penetrating Radar. IEEE Transactions on Geoscience and Remote Sensing 1–15. doi: 10.1109/tgrs.2021.3065066
  • Burnett AC, Serbin SP, Lamour J, Anderson J, Davidson KJ, Yang D, Rogers A (2021) Seasonal trends in photosynthesis and leaf traits in scarlet oak. Tree Physiology 41:1413–1424. doi: 10.1093/treephys/tpab015
  • Wang J, Yang D, Chen S, Zhu X, Wu S, Bogonovich M, Guo Z, Zhu Z, Wu J (2021) Automatic cloud and cloud shadow detection in tropical areas for PlanetScope satellite images. Remote Sensing of Environment 264:112604. doi: 10.1016/j.rse.2021.112604
  • Burnett AC, Anderson J, Davidson KJ, Ely KS, Lamour J, Li Q, Morrison BD, Yang D, Rogers A, Serbin SP (2021) A best-practice guide to predicting plant traits from leaf-level hyperspectral data using partial least squares regression. Journal of Experimental Botany. doi: 10.1093/jxb/erab295
  • Ely KS, Rogers A, Agarwal DA, Ainsworth EA, Albert LP, et al. (2021) A reporting format for leaf-level gas exchange data and metadata. Ecological Informatics 61:101232. doi: 10.1016/j.ecoinf.2021.101232
  • Wang J, Yang D, Detto M, Nelson BW, Chen M, Guan K, Wu S, Yan Z, Wu J (2020) Multi-scale integration of satellite remote sensing improves characterization of dry-season green-up in an Amazon tropical evergreen forest. Remote Sensing of Environment 246:111865. doi: 10.1016/j.rse.2020.111865
  • Yang D, Meng R, Morrison BD, McMahon A, Hantson W, Hayes DJ, Breen AL, Salmon VG, Serbin SP (2020) A Multi-Sensor Unoccupied Aerial System Improves Characterization of Vegetation Composition and Canopy Properties in the Arctic Tundra. Remote Sensing 12:2638. doi: 10.3390/rs12162638
  • Liu X, Cui X, Guo L, Chen J, Li W, Yang D, Cao X, Chen X, Liu Q, Lin H (2019) Non-invasive estimation of root zone soil moisture from coarse root reflections in ground-penetrating radar images. Plant and Soil 436:623–639. doi: 10.1007/s11104-018-03919-5
  • Yang D, Chen X, Chen J, Cao X (2017) Multiscale Integration Approach for Land Cover Classification Based on Minimal Entropy of Posterior Probability. IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing 10:1105–1116. doi: 10.1109/jstars.2016.2615073
  • Yang D, Chen J, Zhou Y, Chen X, Chen X, Cao X (2017) Mapping plastic greenhouse with medium spatial resolution satellite data: Development of a new spectral index. ISPRS Journal of Photogrammetry and Remote Sensing 128:47–60. doi: 10.1016/j.isprsjprs.2017.03.002
  • Yang D, Sun S, Chen J, Liu X (2016) Analysis for the spatial and temporal patterns of plasticulture in Shandong province, China with remotely sensed data. 2016 Fifth International Conference on Agro-Geoinformatics (Agro-Geoinformatics). doi: 10.1109/agro-geoinformatics.2016.7577663
Daryl (Dedi) Yang

Brookhaven National Laboratory

Environmental and Climate Sciences Department
Bldg. 490A, Room 11-133
P.O. Box 5000
Upton, NY 11973-5000

(631) 344-3361
dediyang@bnl.gov

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