Phuong D. Dao

The University of Texas at Austin — United States

Environmental Science · Physical Sciences

13h-index1.8kcitations37works1.12yr avg
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Research Topics

Remote Sensing in Agriculture(17), Remote-Sensing Image Classification(11), Spectroscopy and Chemometric Analyses(7), Species Distribution and Climate Change(6), Ecology and Vegetation Dynamics Studies(4)

Publications37 total

Processed shoreline, mangrove NDVI and suspended sediment concentration trend data (1988–2023) for the Vietnamese Southern Coastline
Zenodo (CERN European Organization for Nuclear Research)·2026Open Access
Processed shoreline, mangrove NDVI and suspended sediment concentration trend data (1988–2023) for the Vietnamese Southern Coastline
Zenodo (CERN European Organization for Nuclear Research)·2026Open Access
DiscoEPG: A Python package for characterization of insect electrical penetration graph (EPG) signals
Smart Agricultural Technology·2026Open Access
LeafNet: A Large-Scale Dataset and Comprehensive Benchmark for Foundational Vision-Language Understanding of Plant Diseases
arXiv (Cornell University)·2026Open Access
LeafNet: A Large-Scale Dataset and Comprehensive Benchmark for Foundational Vision-Language Understanding of Plant Diseases
arXiv (Cornell University)·2026Open Access
All-in-one machine learning framework for early detection and characterization of sugar beet diseases using hyperspectral imaging
Smart Agricultural Technology·2025Open Access
Does within-biome drought sensitivity reflect patterns across biomes?
Oecologia·2025Open Access
High spatial resolution crop type and land use land cover classification without labels: A framework using multi-temporal PlanetScope images and variational Bayesian Gaussian mixture model
Science of Remote Sensing·2025· 1 citedOpen Access
GreenHyperSpectra: A multi-source hyperspectral dataset for global vegetation trait prediction
arXiv (Cornell University)·2025Open Access
Supplementary material to "Uncertainty Assessment in Deep Learning-based Plant Trait Retrievals from Hyperspectral data"
2025Open Access
Uncertainty Assessment in Deep Learning-based Plant Trait Retrievals from Hyperspectral data
2025· 2 citedOpen Access
Machine learning for automated electrical penetration graph analysis of aphid feeding behavior: Accelerating research on insect-plant interactions
PLoS ONE·2025· 1 citedOpen Access
Imaging spectroscopy reveals topographic variability effects on grassland functional traits and drought responses
Ecology·2025· 2 cited
Unlocking ecological insights from sub‐seasonal visible‐to‐shortwave infrared imaging spectroscopy: The <scp>SHIFT</scp> campaign
Ecosphere·2025· 5 citedOpen Access
MOB-GCN: A Novel Multiscale Object-Based Graph Neural Network for Hyperspectral Image Classification
arXiv (Cornell University)·2025· 1 citedOpen Access
All-in-One Machine Learning Framework for Early Detection and Characterization of Sugar Beet Diseases Using Hyperspectral Imaging
SSRN Electronic Journal·2025Open Access
DiscoEPG: A Python package for characterization of insect electrical penetration graph (EPG) signals
2024Open Access
Plant trait retrieval from hyperspectral data: Collective efforts in scientific data curation outperform simulated data derived from the PROSAIL model
ISPRS Open Journal of Photogrammetry and Remote Sensing·2024· 9 citedOpen Access
Machine learning for characterizing plant-insect interactions through electrical penetration graphic signal
2024· 1 citedOpen Access
Imaging spectroscopy reveals topographic variability effects on grassland functional traits and drought responses
2024· 1 citedOpen Access
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Frequent Co-authors

Yuhong He(14), Hannes Feilhauer(6), Bing Lu(5), Eya Cherif(5), Bing Lu(5), Teja Kattenborn(5), Katja Berger(4), Tobias Hank(4), Kyle R. Kovach(4), Faisal Z. Qureshi(4), Alexander Axiotis(4), Daniel Kunk(4), Michael Ewald(3), Philip A. Townsend(3), Kiran Mantripragada(3), Luke A. Brown(3), Quang Dung Dinh(3), Truong Son Hy(3), Cameron Proctor(2), Hai-Po Chan(2)