Object-Based Flood Mapping and Affected Rice Field Estimation with Landsat 8 OLI and MODIS Data. - Phuong D. Dao; Yuei-An Liou (Remote. Sens., 2015)

Maximizing the quantitative utility of airborne hyperspectral imagery for studying plant physiology: An optimal sensor exposure setting procedure and empirical line method for atmospheric correction. - Phuong D. Dao; Yuhong He; Bing Lu (Int. J. Appl. Earth Obs. Geoinformation, 2019)

Ensemble Identification of Spectral Bands Related to Soil Organic Carbon Levels over an Agricultural Field in Southern Ontario, Canada. - Ahmed Laamrani; Aaron A. Berg; Paul R. Voroney; Hannes Feilhauer; Line Blackburn; Michael March; Phuong D. Dao; Yuhong He; Ralph C. Martin (Remote. Sens., 2019)

Comparing the Performance of Multispectral and Hyperspectral Images for Estimating Vegetation Properties. - Bing Lu; Yuhong He; Phuong D. Dao (IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., 2019)

Recent Advances of Hyperspectral Imaging Technology and Applications in Agriculture. - Bing Lu; Phuong D. Dao; Jiangui Liu; Yuhong He; Jiali Shang (Remote. Sens., 2020)

Mapping native and invasive grassland species and characterizing topography-driven species dynamics using high spatial resolution hyperspectral imagery. - Phuong D. Dao; Alexander Axiotis; Yuhong He (Int. J. Appl. Earth Obs. Geoinformation, 2021)

Plant drought impact detection using ultra-high spatial resolution hyperspectral images and machine learning. - Phuong D. Dao; Yuhong He; Cameron Proctor (Int. J. Appl. Earth Obs. Geoinformation, 2021)

A study on the effects of compression on hyperspectral image classification. - Kiran Mantripragada; Phuong D. Dao; Yuhong He; Faisal Z. Qureshi (CoRR, 2021)

MOB-GCN: A Novel Multiscale Object-Based Graph Neural Network for Hyperspectral Image Classification. - Tuan-Anh Yang; Truong-Son Hy; Phuong D. Dao (CoRR, 2025)

GreenHyperSpectra: A multi-source hyperspectral dataset for global vegetation trait prediction. - Eya Cherif; Arthur Ouaknine; Luke A. Brown; Phuong D. Dao; Kyle R. Kovach; Bing Lu; Daniel Mederer; Hannes Feilhauer; Teja Kattenborn; David Rolnick (CoRR, 2025)