Documentation Revision Date: 2025-05-28
Dataset Version: 1
Summary
There are two data files with this dataset in GeoTIFF format.
This is a preprint dataset. The QA of the data files and this documentation are in progress.
Figure 1. The NASA Carbon Monitoring System (CMS) program logo. CMS is designed to make significant contributions in characterizing, quantifying, understanding, and predicting the evolution of global carbon sources and sinks through improved monitoring of carbon stocks and fluxes.
Citation
Hurtt, G.C., and L. Ma. 2024. Forest Aboveground Biomass for Maryland, USA. ORNL DAAC, Oak Ridge, Tennessee, USA. https://doi.org/10.3334/ORNLDAAC/2384
Table of Contents
- Dataset Overview
- Data Characteristics
- Application and Derivation
- Quality Assessment
- Data Acquisition, Materials, and Methods
- Data Access
- References
Dataset Overview
Project: Carbon Monitoring System
The NASA Carbon Monitoring System (CMS) program is designed to make significant contributions in characterizing, quantifying, understanding, and predicting the evolution of global carbon sources and sinks through improved monitoring of carbon stocks and fluxes. The System uses NASA satellite observations and modeling/analysis capabilities to establish the accuracy, quantitative uncertainties, and utility of products for supporting national and international policy, regulatory, and management activities. CMS data products are designed to inform near-term policy development and planning.
Data Characteristics
Spatial Coverage: Maryland, US
Spatial Resolution: 30 m
Temporal Resolution: Annual
Study Area: Latitude and longitude are given in decimal degrees
|
Site |
Westernmost Longitude |
Easternmost Longitude |
Northernmost Latitude |
Southernmost Latitude |
|
Maryland, US |
-79.52 | -75.05 | 39.81 | 37.93 |
There are two data files with this dataset:
MD_moni_agb_1984_2016.tif
MD_moni_agb_2000_2023.tif
Application and Derivation
This is a preprint dataset. The QA of the data files and this documentation are in progress.
Quality Assessment
The evaluation includes a comparison of the average annual AGB gain against USFS FIA report and also comparison of estimated statewide average NPP against Landsat-based NPP product.
Data Acquisition, Materials, and Methods
These data were generated by a modeling approach that linked an ecosystem model called Ecosystem Demography (ED) model, airborne lidar data of canopy height in circa 2010, and the remote sensing based land cover change dataset (NAFD).
Data Access
These data are available through the Oak Ridge National Laboratory (ORNL) Distributed Active Archive Center (DAAC).
Forest Aboveground Biomass for Maryland, USA
Contact for Data Center Access Information:
- E-mail: uso@daac.ornl.gov
- Telephone: +1 (865) 241-3952
References
This is a preprint dataset. The QA of the data files and this documentation are in progress.