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Description

This data set provides 30-meter gridded estimates of aboveground biomass (AGB), canopy height, and canopy coverage for the state of Maryland in 2011. Leaf-off LiDAR data were combined with high-resolution leaf-on agricultural imagery to select 848 field sampling sites for biomass measurements. The field-based estimates were related to LiDAR height and volume metrics through random forests regression models across three physiographic regions of Maryland.

Product Summary

Platforms
Airplane
Instruments
LIDAR
Spatial Extent

N: 39.95 S: 37.69 E: -74.82 W: -79.71

Coordinate System
CARTESIAN
Granule Spatial Representation
CARTESIAN
Temporal Extent
2011-01-01 to 2011-12-31
Data Partner
THE OAK RIDGE NATIONAL LABORATORY (ORNL) DISTRIBUTED ACTIVE ARCHIVE CENTER (DAAC) (ORNL_DAAC)
Concept ID
C2343143567-ORNL_CLOUD
Data State
SUPERSEDED
Number of Files/Granules
7
Processing Level
4
Published
Updated
Science Keywords
Biomass ,
Canopy Characteristics ,
Vegetation Cover

Citation

Citation is critically important for dataset documentation and discovery. This dataset is openly shared, without restriction, in accordance with the EOSDIS Data Use and Citation Guidance.

Copy Citation

Dubayah, R. O., Swatantran, A., Huang, W., Duncanson, L., Johnson, K., Tang, H., O'Neill, E. G., & Hurtt, G. C. (2016). CMS: LiDAR-derived Aboveground Biomass, Canopy Height and Cover for Maryland, 2011 (Version 1). ORNL Distributed Active Archive Center. https://doi.org/10.3334/ORNLDAAC/1320 Date Accessed: 2026-05-03

Documents

Publications Citing This Dataset

Filters
Title Year Author Topic
Valuing urban trees: A hedonic investigation into tree canopy influence on property values across environmental and social contexts in Baltimore, Maryland Sachs, Ashby Lavelle, Boag, Angela E., Troy, Austin Biomass, Canopy Characteristics, Vegetation Cover
Fusion of Multiple Gridded Biomass Datasets for Generating a Global Zhang, Yuzhen, Liang, Shunlin Biomass, Canopy Characteristics, Vegetation Cover, Biomass Dynamics, Carbon, Forests, Forest Yields, Nitrogen, Nitrogen, Carbon, Soil Depth, Soil Bulk Density, Leaf Characteristics, Soil Chemistry, Forest Composition/Vegetation Structure
High-resolution mapping of aboveground biomass for forest carbon monitoring system in the Tri-State region of Maryland, Pennsylvania and Delaware, USA Huang, Wenli, Dolan, Katelyn, Swatantran, Anu, Johnson, Kristofer, Tang, Hao, ONeil-Dunne, Jarlath, Dubayah, Ralph, Hurtt, George Biomass, Carbon, Forests, Canopy Characteristics, Vegetation Cover
A Review of Regional and Global Gridded Forest Biomass Datasets Zhang, Yuzhen, Liang, Shunlin, Yang, Lu Biomass, Carbon, Forest Yields, Forests, Biomass Dynamics, Deforestation, Canopy Characteristics, Vegetation Cover
Beyond MRV: high-resolution forest carbon modeling for climate mitigation planning over Maryland, USA Hurtt, G, Zhao, M, Sahajpal, R, Armstrong, A, Birdsey, R, Campbell, E, Dolan, K, Dubayah, R, Fisk, J P, Flanagan, S, Huang, C, Huang, W, Johnson, K, Lamb, R, Ma, L, Marks, R, OLeary, D, ONeil-Dunne, J, Swatantran, A, Tang, H Biomass, Canopy Characteristics, Vegetation Cover, Biomass Dynamics, Carbon, Plant Succession, Urban Lands
County-scale biomass map comparison: a case study for Sonoma, California Huang, Wenli, Swatantran, Anu, Duncanson, Laura, Johnson, Kristofer, Watkinson, Dana, Dolan, Katelyn, O'Neil-Dunne, Jarlath, Hurtt, George, Dubayah, Ralph Biomass, Carbon, Canopy Characteristics, Vegetation Cover
Voxel-Based Spatial Filtering Method for Canopy Height Retrieval from Airborne Single-Photon Lidar Tang, Hao, Swatantran, Anu, Barrett, Terence, DeCola, Phil, Dubayah, Ralph Biomass, Canopy Characteristics, Vegetation Cover
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