Title |
Mapping Migratory Bird Prevalence Using Remote Sensing Data Fusion
|
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Published in |
PLOS ONE, January 2012
|
DOI | 10.1371/journal.pone.0028922 |
Pubmed ID | |
Authors |
Anu Swatantran, Ralph Dubayah, Scott Goetz, Michelle Hofton, Matthew G. Betts, Mindy Sun, Marc Simard, Richard Holmes |
Abstract |
Improved maps of species distributions are important for effective management of wildlife under increasing anthropogenic pressures. Recent advances in lidar and radar remote sensing have shown considerable potential for mapping forest structure and habitat characteristics across landscapes. However, their relative efficacies and integrated use in habitat mapping remain largely unexplored. We evaluated the use of lidar, radar and multispectral remote sensing data in predicting multi-year bird detections or prevalence for 8 migratory songbird species in the unfragmented temperate deciduous forests of New Hampshire, USA. |
X Demographics
Geographical breakdown
Country | Count | As % |
---|---|---|
United States | 1 | 50% |
Canada | 1 | 50% |
Demographic breakdown
Type | Count | As % |
---|---|---|
Members of the public | 2 | 100% |
Mendeley readers
Geographical breakdown
Country | Count | As % |
---|---|---|
United States | 8 | 4% |
Italy | 1 | <1% |
Panama | 1 | <1% |
Brazil | 1 | <1% |
Chile | 1 | <1% |
Israel | 1 | <1% |
South Africa | 1 | <1% |
Spain | 1 | <1% |
Finland | 1 | <1% |
Other | 0 | 0% |
Unknown | 170 | 91% |
Demographic breakdown
Readers by professional status | Count | As % |
---|---|---|
Student > Ph. D. Student | 42 | 23% |
Researcher | 42 | 23% |
Student > Master | 22 | 12% |
Student > Bachelor | 14 | 8% |
Professor > Associate Professor | 12 | 6% |
Other | 27 | 15% |
Unknown | 27 | 15% |
Readers by discipline | Count | As % |
---|---|---|
Agricultural and Biological Sciences | 61 | 33% |
Environmental Science | 50 | 27% |
Earth and Planetary Sciences | 27 | 15% |
Computer Science | 4 | 2% |
Medicine and Dentistry | 3 | 2% |
Other | 12 | 6% |
Unknown | 29 | 16% |