Skip to main content
ORNL DAAC HomeNASA Home

DAAC Home > Get Data > Regional/Global > Carbon Monitoring System (CMS) > Data Files

CMS: Aboveground Biomass from Penobscot Experimental Forest, Maine, 2012

Overview

DatasetCMS: Aboveground Biomass from Penobscot Experimental Forest, Maine, 2012
DOIhttps://doi.org/10.3334/ORNLDAAC/1318
Release date2016-05-05
Project
Time period2012-01-01 to 2012-12-31

Usage Metrics

CountEarliest DateLatest DateData Usage
Downloads992016-05-262017-12-08381 total files downloaded

Description

This data set includes estimates of aboveground biomass (AGB) in 2012 from the Penobscot Experimental Forest (PEF) in Bradley, Maine. The AGB was modeled using LiDAR data gathered with the LiDAR Hyperspectral and Thermal Imager (G-LiHT) operated by Goddard Space Flight Center and field inventory data from 604 permanent Forest Inventory and Analysis (FIA) plots within the PEF. The estimates were produced through a novel modeling approach that accommodates temporal misalignment between field measurements and remotely sensed data by including multiple time-indexed measurements at plot locations to estimate changes in AGB.

Dataset documentation

Citation

Download citation from Datacite
RISBibTexOther
Crosscite Citation Formatter
Babcock, C., A.O. Finley, B.D. Cook, A. Weiskittel, and C.W. Woodall. 2016. CMS: Aboveground Biomass from Penobscot Experimental Forest, Maine, 2012. ORNL DAAC, Oak Ridge, Tennessee, USA. https://doi.org/10.3334/ORNLDAAC/1318

See our Data Citations and Acknowledgements policy for more information.

Data Files

Sign in to download dataset files.

Data File (Granule)File SizeDates
PEF_predicted_AGB.tif 294.9KB 2012-01-01 to 2012-12-31

Companion Files

Expand for companion files
Toggle Companion Files

Sign in to download companion files.

Dataset has 4 companion files.

  • figure2_CMS_LIDAR_AGB_PEF_2012.JPG
  • figure3_CMS_LIDAR_AGB_PEF_2012.JPG
  • figure4_CMS_LIDAR_AGB_PEF_2012.JPG
  • CMS_LiDAR_AGB_PEF_2012.pdf

Dataset has 1 browse image file.

Visualize and Subset Data