Title |
Integrating forest inventory and analysis data into a LIDAR-based carbon monitoring system
|
---|---|
Published in |
Carbon Balance and Management, May 2014
|
DOI | 10.1186/1750-0680-9-3 |
Pubmed ID | |
Authors |
Kristofer D Johnson, Richard Birdsey, Andrew O Finley, Anu Swantaran, Ralph Dubayah, Craig Wayson, Rachel Riemann |
Abstract |
Forest Inventory and Analysis (FIA) data may be a valuable component of a LIDAR-based carbon monitoring system, but integration of the two observation systems is not without challenges. To explore integration methods, two wall-to-wall LIDAR-derived biomass maps were compared to FIA data at both the plot and county levels in Anne Arundel and Howard Counties in Maryland. Allometric model-related errors were also considered. |
X Demographics
The data shown below were collected from the profiles of 5 X users who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
Country | Count | As % |
---|---|---|
Mexico | 3 | 60% |
Unknown | 2 | 40% |
Demographic breakdown
Type | Count | As % |
---|---|---|
Members of the public | 5 | 100% |
Mendeley readers
The data shown below were compiled from readership statistics for 89 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
Country | Count | As % |
---|---|---|
United States | 2 | 2% |
Canada | 1 | 1% |
Brazil | 1 | 1% |
Spain | 1 | 1% |
Thailand | 1 | 1% |
Unknown | 83 | 93% |
Demographic breakdown
Readers by professional status | Count | As % |
---|---|---|
Researcher | 25 | 28% |
Student > Ph. D. Student | 20 | 22% |
Student > Master | 13 | 15% |
Student > Doctoral Student | 6 | 7% |
Other | 6 | 7% |
Other | 12 | 13% |
Unknown | 7 | 8% |
Readers by discipline | Count | As % |
---|---|---|
Environmental Science | 29 | 33% |
Earth and Planetary Sciences | 18 | 20% |
Agricultural and Biological Sciences | 13 | 15% |
Social Sciences | 5 | 6% |
Engineering | 3 | 3% |
Other | 4 | 4% |
Unknown | 17 | 19% |
Attention Score in Context
This research output has an Altmetric Attention Score of 6. This is our high-level measure of the quality and quantity of online attention that it has received. This Attention Score, as well as the ranking and number of research outputs shown below, was calculated when the research output was last mentioned on 29 May 2014.
All research outputs
#5,510,357
of 22,756,196 outputs
Outputs from Carbon Balance and Management
#86
of 236 outputs
Outputs of similar age
#51,769
of 227,623 outputs
Outputs of similar age from Carbon Balance and Management
#2
of 2 outputs
Altmetric has tracked 22,756,196 research outputs across all sources so far. Compared to these this one has done well and is in the 75th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 236 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 15.8. This one has gotten more attention than average, scoring higher than 63% of its peers.
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We're also able to compare this research output to 2 others from the same source and published within six weeks on either side of this one.