David Roy

Professor

Michigan State University

United States

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David Roy is a Professor at Michigan State University, USA. His research focuses on remote sensing, particularly in deep learning applications for cloud and shadow detection using Sentinel-2 and Landsat datasets. He has also contributed to studies related to canopy height estimation, wildfire disaster monitoring, and assessments of aboveground biomass in tropical forests.

Articles (16)

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2025

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2025

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2025

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2025

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2024

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2023

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2023

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2023

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2021

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2020

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2020

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UNITED STATES

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Maria Zubkova

University of Maryland at College Park

UNITED STATES

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Louis Giglio

Research Professor

University of Maryland

UNITED STATES

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Hankui Zhang

Assistant Professor

South Dakota State University

UNITED STATES

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David Roy

Research Interests

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About

Articles (16)

A globally applicable deep learning model for Sentinel-2 cloud and shadow detection

A global Swin-Unet Sentinel-2 surface reflectance-based cloud and cloud shadow detection algorithm for the NASA Harmonized Landsat Sentinel-2 (HLS) dataset

Independent oversight crucial to Landsat Next

Assessment and improvement of GEDI canopy height estimation in tropical and temperate forests

Multi-resolution monitoring of the 2023 maui wildfires, implications and needs for satellite-based wildfire disaster monitoring

Improved Landsat Operational Land Imager (OLI) Cloud and Shadow Detection with the Learning Attention Network Algorithm (LANA)

Examination of the amount of GEDI data required to characterize central Africa tropical forest aboveground biomass at REDD+ project scale in Mai Ndombe province

Generation and comprehensive validation of 30 m conterminous United States Landsat percent tree cover and forest cover loss annual products

FireCCILT11 artifacts may confound the link between biomass burning and infant mortality

Comment on Otón et al. Analysis of Trends in the FireCCI Global Long Term Burned Area Product (1982–2018). <i>Fire</i> 2021, <i>4</i>, 74

The impact of geolocation uncertainty on GEDI tropical forest canopy height estimation and change monitoring

Towards a Single Integrative Metric on the Dynamics of Social-Environmental Systems

Sharpening the Sentinel-2 10 and 20 m Bands to Planetscope-0 3 m Resolution

Democratic Republic of the Congo Tropical Forest Canopy Height and Aboveground Biomass Estimation with Landsat-8 Operational Land Imager (OLI) and Airborne LiDAR Data: The Effect of Seasonal Landsat Image Selection

A conterminous United States analysis of the impact of Landsat 5 orbit drift on the temporal consistency of Landsat 5 Thematic Mapper data

Robust Landsat-based crop time series modelling

Collaborators (11)

David Reed

Tomoaki Miura

Lin Yan

Luigi Boschetti

Ginger Allington

Ranjeet John

Geoffrey Henebry

Peilei Fan

Maria Zubkova

Louis Giglio

Hankui Zhang

Make your next move.

David Roy

Research Interests

Explore related searches

Contact this professor

About

Articles (16)

A globally applicable deep learning model for Sentinel-2 cloud and shadow detection

A global Swin-Unet Sentinel-2 surface reflectance-based cloud and cloud shadow detection algorithm for the NASA Harmonized Landsat Sentinel-2 (HLS) dataset

Independent oversight crucial to Landsat Next

Assessment and improvement of GEDI canopy height estimation in tropical and temperate forests

Multi-resolution monitoring of the 2023 maui wildfires, implications and needs for satellite-based wildfire disaster monitoring

Improved Landsat Operational Land Imager (OLI) Cloud and Shadow Detection with the Learning Attention Network Algorithm (LANA)

Examination of the amount of GEDI data required to characterize central Africa tropical forest aboveground biomass at REDD+ project scale in Mai Ndombe province

Generation and comprehensive validation of 30 m conterminous United States Landsat percent tree cover and forest cover loss annual products

FireCCILT11 artifacts may confound the link between biomass burning and infant mortality

Comment on Ot&oacute;n et al. Analysis of Trends in the FireCCI Global Long Term Burned Area Product (1982&ndash;2018). <i>Fire</i> 2021, <i>4</i>, 74

The impact of geolocation uncertainty on GEDI tropical forest canopy height estimation and change monitoring

Towards a Single Integrative Metric on the Dynamics of Social-Environmental Systems

Sharpening the Sentinel-2 10 and 20 m Bands to Planetscope-0 3 m Resolution

Democratic Republic of the Congo Tropical Forest Canopy Height and Aboveground Biomass Estimation with Landsat-8 Operational Land Imager (OLI) and Airborne LiDAR Data: The Effect of Seasonal Landsat Image Selection

A conterminous United States analysis of the impact of Landsat 5 orbit drift on the temporal consistency of Landsat 5 Thematic Mapper data

Robust Landsat-based crop time series modelling

Collaborators (11)

David Reed

Tomoaki Miura

Lin Yan

Luigi Boschetti

Ginger Allington

Ranjeet John

Geoffrey Henebry

Peilei Fan

Maria Zubkova

Louis Giglio

Hankui Zhang

Make your next move.

Comment on Otón et al. Analysis of Trends in the FireCCI Global Long Term Burned Area Product (1982–2018). <i>Fire</i> 2021, <i>4</i>, 74