Ralph Dubayah

Ralph Dubayah

University of Maryland, Baltimore

H-index: 72

North America-United States

About Ralph Dubayah

Ralph Dubayah, With an exceptional h-index of 72 and a recent h-index of 49 (since 2020), a distinguished researcher at University of Maryland, Baltimore, specializes in the field of Remote Sensing, Terrestrial Carbon Cycle, Biodiversity.

His recent articles reflect a diverse array of research interests and contributions to the field:

Connecting spaceborne lidar with NFI networks: A method for improved estimation of forest structure and biomass

Calibration and Validation Activities in the Context of the 2023 GABONX Airborne SAR Campaign for Tropical Forest Height and Change Analysis over Gabon

Intergovernmental Panel on Climate Change (IPCC) Tier 1 forest biomass estimates from Earth Observation

Definition criteria determine the success of old-growth mapping

A spatial mixture model for spaceborne lidar observations over mixed forest and non-forest land types

Annual maps of forest cover in the Brazilian Amazon from analyses of PALSAR and MODIS images

Characterizing Low-Lying Coastal Upland Forests to Predict Future Landward Marsh Expansion

The effectiveness of global protected areas for climate change mitigation

Ralph Dubayah Information

University

Position

Geographical Sciences

Citations(all)

21424

Citations(since 2020)

9124

Cited By

15451

hIndex(all)

72

hIndex(since 2020)

49

i10Index(all)

160

i10Index(since 2020)

131

Email

University Profile Page

Google Scholar

Ralph Dubayah Skills & Research Interests

Remote Sensing

Terrestrial Carbon Cycle

Biodiversity

Top articles of Ralph Dubayah

Connecting spaceborne lidar with NFI networks: A method for improved estimation of forest structure and biomass

International Journal of Applied Earth Observation and Geoinformation

2024/5/1

Calibration and Validation Activities in the Context of the 2023 GABONX Airborne SAR Campaign for Tropical Forest Height and Change Analysis over Gabon

2024/3/7

Intergovernmental Panel on Climate Change (IPCC) Tier 1 forest biomass estimates from Earth Observation

Authorea Preprints

2024/3/4

Definition criteria determine the success of old-growth mapping

Ecological Indicators

2024/2/1

A spatial mixture model for spaceborne lidar observations over mixed forest and non-forest land types

Journal of Agricultural, Biological and Environmental Statistics

2024/1/30

Annual maps of forest cover in the Brazilian Amazon from analyses of PALSAR and MODIS images

Earth System Science Data

2024/1/15

Characterizing Low-Lying Coastal Upland Forests to Predict Future Landward Marsh Expansion

2024

Ralph Dubayah
Ralph Dubayah

H-Index: 43

The effectiveness of global protected areas for climate change mitigation

Nature Communications

2023/6/1

A spatially varying model for small area estimates of biomass density across the contiguous United States

Remote Sensing of Environment

2023/3/1

Jamis Bruening
Jamis Bruening

H-Index: 5

Ralph Dubayah
Ralph Dubayah

H-Index: 43

Large-scale forest height mapping by combining TanDEM-X and GEDI data

IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing

2023/2/22

Multiscaling analysis in distributed modeling and remote sensing: an application using soil moisture

2023/1/13

Ralph Dubayah
Ralph Dubayah

H-Index: 43

Annual forest and evergreen forest cover maps in the Brazilian Amazon in terms of FAO's forest definition

Earth System Science Data Discussions

2023/1/2

GEDI L4B Country-level Summaries of Aboveground Biomass

ORNL DAAC

2023/12/6

On the NASA GEDI and ESA CCI biomass maps: aligning for uptake in the UNFCCC global stocktake

Environmental Research Letters

2023/11/23

Global Forest Aboveground Carbon Stocks and Fluxes from GEDI and ICESat-2, 2018-2021

ORNL DAAC

2023/8/23

Estimating aboveground biomass density using hybrid statistical inference with GEDI lidar data and Paraguay’s national forest inventory

Environmental Research Letters

2023/8/1

Precise and unbiased biomass estimation from GEDI data and the US forest inventory

Frontiers in Forests and Global Change

2023/5/6

Assessing the performance of NASA’s GEDI L4A footprint aboveground biomass density models using National Forest Inventory and airborne laser scanning data in Mediterranean …

Forest Ecology and Management

2023/6/15

John Armston
John Armston

H-Index: 30

Ralph Dubayah
Ralph Dubayah

H-Index: 43

Impact of leaf phenology on estimates of aboveground biomass density in a deciduous broadleaf forest from simulated GEDI lidar

Environmental Research Letters

2023/6/2

Spatial heterogeneity of global forest aboveground carbon stocks and fluxes constrained by spaceborne lidar data and mechanistic modeling

Global Change Biology

2023/6

See List of Professors in Ralph Dubayah University(University of Maryland, Baltimore)

Co-Authors

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