Matches in SemOpenAlex for { <https://semopenalex.org/work/W3107635384> ?p ?o ?g. }
- W3107635384 abstract "Abstract Repeated counts of animal abundance can reveal changes in local ecosystem health and inform conservation strategies. Unmanned aircraft systems (UAS) such as drones are commonly used to photograph animals in remote locations; however, counting animals in images is a laborious task. Crowd-sourcing can reduce the time required to conduct these censuses considerably, but must first be validated against expert counts to measure sources of error. Our objectives were to assess the accuracy and precision of citizen science counts and make recommendations for future citizen science projects. We uploaded drone imagery from Año Nuevo Island (California, USA) to a curated Zooniverse website that instructed citizen scientists to count seals and sea lions. Across 212 days, over 1,500 volunteers counted animals in 90,000 photographs. We quantified the error associated with several descriptive statistics to extract a single citizen science count per photograph from the 15 repeat counts and then compared the resulting citizen science counts to expert counts. Although proportional error was relatively low (9% for sea lions and 5% for seals during the breeding seasons) and improved with repeat sampling, the 12+ volunteers required to reduce error was prohibitively slow, taking on average 6 weeks to estimate animals from a single drone flight covering 25 acres, despite strong public outreach efforts. The single best algorithm was ‘Median without the lowest two values’, demonstrating that citizen scientists tended to under-estimate the number of animals present. Citizen scientists accurately counted adult seals, but accuracy was lower when sea lions were present during the summer and could be confused for seals. We underscore the importance of validation efforts and careful project design for researchers hoping to combine citizen science with drone imagery." @default.
- W3107635384 created "2020-12-07" @default.
- W3107635384 creator A5023071621 @default.
- W3107635384 creator A5041896419 @default.
- W3107635384 creator A5057306352 @default.
- W3107635384 creator A5075982283 @default.
- W3107635384 date "2020-12-03" @default.
- W3107635384 modified "2023-09-27" @default.
- W3107635384 title "Accuracy and precision of citizen scientist animal counts from drone imagery" @default.
- W3107635384 cites W1987172718 @default.
- W3107635384 cites W1987235035 @default.
- W3107635384 cites W1994927185 @default.
- W3107635384 cites W2004068586 @default.
- W3107635384 cites W2009817512 @default.
- W3107635384 cites W2056291047 @default.
- W3107635384 cites W2060253317 @default.
- W3107635384 cites W2070908744 @default.
- W3107635384 cites W2100704846 @default.
- W3107635384 cites W2105065325 @default.
- W3107635384 cites W2107858042 @default.
- W3107635384 cites W2108969406 @default.
- W3107635384 cites W2135755443 @default.
- W3107635384 cites W2143897835 @default.
- W3107635384 cites W2151915598 @default.
- W3107635384 cites W2152608856 @default.
- W3107635384 cites W2158262855 @default.
- W3107635384 cites W2177836626 @default.
- W3107635384 cites W2236370645 @default.
- W3107635384 cites W2238515303 @default.
- W3107635384 cites W2323284991 @default.
- W3107635384 cites W2344337985 @default.
- W3107635384 cites W2601110334 @default.
- W3107635384 cites W2637985556 @default.
- W3107635384 cites W2737340643 @default.
- W3107635384 cites W2767556927 @default.
- W3107635384 cites W2769210209 @default.
- W3107635384 cites W2769522987 @default.
- W3107635384 cites W2789355279 @default.
- W3107635384 cites W2900099025 @default.
- W3107635384 cites W2912545552 @default.
- W3107635384 cites W2967604134 @default.
- W3107635384 cites W2982455126 @default.
- W3107635384 cites W2988175180 @default.
- W3107635384 cites W3012413911 @default.
- W3107635384 cites W3016187358 @default.
- W3107635384 cites W3088311973 @default.
- W3107635384 cites W4255548084 @default.
- W3107635384 cites W85001902 @default.
- W3107635384 doi "https://doi.org/10.1101/2020.12.03.409649" @default.
- W3107635384 hasPublicationYear "2020" @default.
- W3107635384 type Work @default.
- W3107635384 sameAs 3107635384 @default.
- W3107635384 citedByCount "0" @default.
- W3107635384 crossrefType "posted-content" @default.
- W3107635384 hasAuthorship W3107635384A5023071621 @default.
- W3107635384 hasAuthorship W3107635384A5041896419 @default.
- W3107635384 hasAuthorship W3107635384A5057306352 @default.
- W3107635384 hasAuthorship W3107635384A5075982283 @default.
- W3107635384 hasBestOaLocation W31076353841 @default.
- W3107635384 hasConcept C105795698 @default.
- W3107635384 hasConcept C136764020 @default.
- W3107635384 hasConcept C17744445 @default.
- W3107635384 hasConcept C18903297 @default.
- W3107635384 hasConcept C197352329 @default.
- W3107635384 hasConcept C199539241 @default.
- W3107635384 hasConcept C205649164 @default.
- W3107635384 hasConcept C2781400479 @default.
- W3107635384 hasConcept C2994279718 @default.
- W3107635384 hasConcept C33923547 @default.
- W3107635384 hasConcept C41008148 @default.
- W3107635384 hasConcept C54355233 @default.
- W3107635384 hasConcept C59519942 @default.
- W3107635384 hasConcept C59822182 @default.
- W3107635384 hasConcept C62230096 @default.
- W3107635384 hasConcept C71901391 @default.
- W3107635384 hasConcept C86803240 @default.
- W3107635384 hasConceptScore W3107635384C105795698 @default.
- W3107635384 hasConceptScore W3107635384C136764020 @default.
- W3107635384 hasConceptScore W3107635384C17744445 @default.
- W3107635384 hasConceptScore W3107635384C18903297 @default.
- W3107635384 hasConceptScore W3107635384C197352329 @default.
- W3107635384 hasConceptScore W3107635384C199539241 @default.
- W3107635384 hasConceptScore W3107635384C205649164 @default.
- W3107635384 hasConceptScore W3107635384C2781400479 @default.
- W3107635384 hasConceptScore W3107635384C2994279718 @default.
- W3107635384 hasConceptScore W3107635384C33923547 @default.
- W3107635384 hasConceptScore W3107635384C41008148 @default.
- W3107635384 hasConceptScore W3107635384C54355233 @default.
- W3107635384 hasConceptScore W3107635384C59519942 @default.
- W3107635384 hasConceptScore W3107635384C59822182 @default.
- W3107635384 hasConceptScore W3107635384C62230096 @default.
- W3107635384 hasConceptScore W3107635384C71901391 @default.
- W3107635384 hasConceptScore W3107635384C86803240 @default.
- W3107635384 hasLocation W31076353841 @default.
- W3107635384 hasLocation W31076353842 @default.
- W3107635384 hasLocation W31076353843 @default.
- W3107635384 hasOpenAccess W3107635384 @default.
- W3107635384 hasPrimaryLocation W31076353841 @default.
- W3107635384 hasRelatedWork W2035755491 @default.
- W3107635384 hasRelatedWork W2333895056 @default.