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Mendeley readers
Attention Score in Context
| Title |
Tree Crown Mapping in Managed Woodlands (Parklands) of Semi-Arid West Africa Using WorldView-2 Imagery and Geographic Object Based Image Analysis
|
|---|---|
| Published in |
Sensors, November 2014
|
| DOI | 10.3390/s141222643 |
| Pubmed ID | |
| Authors |
Martin Karlson, Heather Reese, Madelene Ostwald |
| Abstract |
Detailed information on tree cover structure is critical for research and monitoring programs targeting African woodlands, including agroforestry parklands. High spatial resolution satellite imagery represents a potentially effective alternative to field-based surveys, but requires the development of accurate methods to automate information extraction. This study presents a method for tree crown mapping based on Geographic Object Based Image Analysis (GEOBIA) that use spectral and geometric information to detect and delineate individual tree crowns and crown clusters. The method was implemented on a WorldView-2 image acquired over the parklands of Saponé, Burkina Faso, and rigorously evaluated against field reference data. The overall detection rate was 85.4% for individual tree crowns and crown clusters, with lower accuracies in areas with high tree density and dense understory vegetation. The overall delineation error (expressed as the difference between area of delineated object and crown area measured in the field) was 45.6% for individual tree crowns and 61.5% for crown clusters. Delineation accuracies were higher for medium (35-100 m2) and large (≥100 m2) trees compared to small (<35 m2) trees. The results indicate potential of GEOBIA and WorldView-2 imagery for tree crown mapping in parkland landscapes and similar woodland areas. |
Mendeley readers
The data shown below were compiled from readership statistics for 124 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Iran, Islamic Republic of | 1 | <1% |
| Germany | 1 | <1% |
| Australia | 1 | <1% |
| Unknown | 121 | 98% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 25 | 20% |
| Student > Master | 20 | 16% |
| Researcher | 18 | 15% |
| Student > Bachelor | 9 | 7% |
| Other | 6 | 5% |
| Other | 23 | 19% |
| Unknown | 23 | 19% |
| Readers by discipline | Count | As % |
|---|---|---|
| Environmental Science | 35 | 28% |
| Earth and Planetary Sciences | 25 | 20% |
| Agricultural and Biological Sciences | 18 | 15% |
| Engineering | 4 | 3% |
| Social Sciences | 3 | 2% |
| Other | 11 | 9% |
| Unknown | 28 | 23% |
Attention Score in Context
This research output has an Altmetric Attention Score of 11. 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 07 April 2020.
All research outputs
#3,138,416
of 25,373,627 outputs
Outputs from Sensors
#973
of 24,303 outputs
Outputs of similar age
#41,989
of 369,449 outputs
Outputs of similar age from Sensors
#11
of 156 outputs
Altmetric has tracked 25,373,627 research outputs across all sources so far. Compared to these this one has done well and is in the 87th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 24,303 research outputs from this source. They receive a mean Attention Score of 3.1. This one has done particularly well, scoring higher than 95% 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 369,449 tracked outputs that were published within six weeks on either side of this one in any source. This one has done well, scoring higher than 88% of its contemporaries.
We're also able to compare this research output to 156 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 92% of its contemporaries.