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X Demographics
Mendeley readers
Attention Score in Context
| Title |
Monitoring algal blooms in drinking water reservoirs using the Landsat-8 Operational Land Imager
|
|---|---|
| Published in |
International Journal of Remote Sensing, January 2018
|
| DOI | 10.1080/01431161.2018.1430912 |
| Pubmed ID | |
| Authors |
Darryl Keith, Jennifer Rover, Jason Green, Brian Zalewsky, Mike Charpentier, Glen Thursby, Joseph Bishop |
| Abstract |
In this study, we demonstrated that the Landsat-8 Operational Land Imager (OLI) sensor is a powerful tool that can provide periodic and system-wide information on the condition of drinking water reservoirs. The OLI is a multispectral radiometer (30 m spatial resolution) that allows ecosystem observations at spatial and temporal scales that allow the environmental community and water managers another means to monitor changes in water quality not feasible with field-based monitoring. Using the provisional Land Surface Reflectance (LSR) product and field-collected chlorophyll-a (chl-a) concentrations from drinking water monitoring programs in North Carolina and Rhode Island, we compared five established approaches for estimating chl-a concentrations using spectral data. We found that using the 3 band reflectance approach with a combination of OLI spectral bands 1, 3, and 5, produced the most promising results for accurately estimating chl-a concentrations in lakes (R2 value of 0.66; RMSE value of 8.9 μg l-1). Using this model, we forecast the spatial and temporal variability of chl-a for Jordan Lake, a recreational and drinking water source in piedmont North Carolina and several small ponds that supply drinking water in southeastern Rhode Island. |
X Demographics
The data shown below were collected from the profiles of 38 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 | 15 | 39% |
| India | 1 | 3% |
| Israel | 1 | 3% |
| Canada | 1 | 3% |
| Ireland | 1 | 3% |
| Argentina | 1 | 3% |
| United Kingdom | 1 | 3% |
| Ecuador | 1 | 3% |
| Australia | 1 | 3% |
| Other | 2 | 5% |
| Unknown | 13 | 34% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 31 | 82% |
| Scientists | 4 | 11% |
| Science communicators (journalists, bloggers, editors) | 2 | 5% |
| Practitioners (doctors, other healthcare professionals) | 1 | 3% |
Mendeley readers
The data shown below were compiled from readership statistics for 65 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 65 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Researcher | 11 | 17% |
| Student > Ph. D. Student | 9 | 14% |
| Student > Master | 8 | 12% |
| Student > Bachelor | 6 | 9% |
| Student > Doctoral Student | 3 | 5% |
| Other | 6 | 9% |
| Unknown | 22 | 34% |
| Readers by discipline | Count | As % |
|---|---|---|
| Environmental Science | 17 | 26% |
| Earth and Planetary Sciences | 8 | 12% |
| Engineering | 6 | 9% |
| Agricultural and Biological Sciences | 4 | 6% |
| Physics and Astronomy | 2 | 3% |
| Other | 3 | 5% |
| Unknown | 25 | 38% |
Attention Score in Context
This research output has an Altmetric Attention Score of 27. 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 11 September 2018.
All research outputs
#1,302,075
of 23,818,521 outputs
Outputs from International Journal of Remote Sensing
#28
of 1,782 outputs
Outputs of similar age
#32,580
of 445,397 outputs
Outputs of similar age from International Journal of Remote Sensing
#3
of 23 outputs
Altmetric has tracked 23,818,521 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 94th percentile: it's in the top 10% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 1,782 research outputs from this source. They receive a mean Attention Score of 4.1. This one has done particularly well, scoring higher than 98% of its peers.
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 445,397 tracked outputs that were published within six weeks on either side of this one in any source. This one has done particularly well, scoring higher than 92% of its contemporaries.
We're also able to compare this research output to 23 others from the same source and published within six weeks on either side of this one. This one has done particularly well, scoring higher than 91% of its contemporaries.