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X Demographics
Mendeley readers
Attention Score in Context
| Title |
Advancing reference emission levels in subnational and national REDD+ initiatives: a CLASlite approach
|
|---|---|
| Published in |
Carbon Balance and Management, February 2015
|
| DOI | 10.1186/s13021-015-0015-8 |
| Pubmed ID | |
| Authors |
Florian Reimer, Gregory P Asner, Shijo Joseph |
| Abstract |
Conservation and monitoring of tropical forests requires accurate information on their extent and change dynamics. Cloud cover, sensor errors and technical barriers associated with satellite remote sensing data continue to prevent many national and sub-national REDD+ initiatives from developing their reference deforestation and forest degradation emission levels. Here we present a framework for large-scale historical forest cover change analysis using free multispectral satellite imagery in an extremely cloudy tropical forest region. The CLASlite approach provided highly automated mapping of tropical forest cover, deforestation and degradation from Landsat satellite imagery. Critically, the fractional cover of forest photosynthetic vegetation, non-photosynthetic vegetation, and bare substrates calculated by CLASlite provided scene-invariant quantities for forest cover, allowing for systematic mosaicking of incomplete satellite data coverage. A synthesized satellite-based data set of forest cover was thereby created, reducing image incompleteness caused by clouds, shadows or sensor errors. This approach can readily be implemented by single operators with highly constrained budgets. We test this framework on tropical forests of the Colombian Pacific Coast (Chocó) - one of the cloudiest regions on Earth, with successful comparison to the Colombian government's deforestation map and a global deforestation map. |
X Demographics
The data shown below were collected from the profiles of 4 X users who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United States | 1 | 25% |
| France | 1 | 25% |
| Indonesia | 1 | 25% |
| Unknown | 1 | 25% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 3 | 75% |
| Science communicators (journalists, bloggers, editors) | 1 | 25% |
Mendeley readers
The data shown below were compiled from readership statistics for 92 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Spain | 1 | 1% |
| United States | 1 | 1% |
| Argentina | 1 | 1% |
| Unknown | 89 | 97% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 19 | 21% |
| Researcher | 18 | 20% |
| Student > Master | 12 | 13% |
| Other | 8 | 9% |
| Student > Doctoral Student | 7 | 8% |
| Other | 19 | 21% |
| Unknown | 9 | 10% |
| Readers by discipline | Count | As % |
|---|---|---|
| Environmental Science | 39 | 42% |
| Earth and Planetary Sciences | 15 | 16% |
| Agricultural and Biological Sciences | 9 | 10% |
| Social Sciences | 2 | 2% |
| Engineering | 2 | 2% |
| Other | 7 | 8% |
| Unknown | 18 | 20% |
Attention Score in Context
This research output has an Altmetric Attention Score of 4. 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 27 July 2015.
All research outputs
#7,351,145
of 23,173,635 outputs
Outputs from Carbon Balance and Management
#122
of 238 outputs
Outputs of similar age
#102,454
of 354,149 outputs
Outputs of similar age from Carbon Balance and Management
#3
of 4 outputs
Altmetric has tracked 23,173,635 research outputs across all sources so far. This one has received more attention than most of these and is in the 67th percentile.
So far Altmetric has tracked 238 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 16.0. This one is in the 47th percentile – i.e., 47% of its peers scored the same or lower than it.
Older research outputs will score higher simply because they've had more time to accumulate mentions. To account for age we can compare this Altmetric Attention Score to the 354,149 tracked outputs that were published within six weeks on either side of this one in any source. This one has gotten more attention than average, scoring higher than 69% of its contemporaries.
We're also able to compare this research output to 4 others from the same source and published within six weeks on either side of this one.