cia memorandum basis for icbm production estimate february 20 1960 top secret

Keyword(s):  
2013 ◽  
Vol 71 (3) ◽  
pp. 537-545 ◽  
Author(s):  
Tor Arne Øigård ◽  
Tore Haug ◽  
Kjell Tormod Nilssen

Abstract Harp seals (Pagophilus groenlandicus) have been harvested for centuries in the North Atlantic. Estimating abundance and monitoring changes in population size are critical for the management of the species. In March 2012, the harp seal pup production was estimated from aerial photographic surveys over the whelping areas. A total area of 305 km2 was photographed and 6034 pups were counted on the photos. From this the total pup production estimate was 89 590 ( s.e. = 12 310, CV = 13.7%). The status of the stock was subsequently assessed by fitting a population model to the independent pup production estimate, the historical catch data, and the historical reproduction data. The 2013 total abundance (including pups) was estimated to be 627 410 (95% CI = 470 540–784 280) harp seals. We demonstrate how the model is used in assessment when exploring the effect of various catch scenarios on future predictions.


1992 ◽  
Vol 49 (12) ◽  
pp. 2546-2550 ◽  
Author(s):  
M. O. Hammill ◽  
G. B. Stenson ◽  
R. A. Myers

Systematic visual aerial surveys were flown in the southern Gulf of St. Lawrence during March 1990 and 1991 to estimate hooded seal (Cystophora cristata) pup production. In 1990, the main whelping patch, occupying an area of 264 km2, was located near Cape Breton Island. One hundred and five pups were counted on 17 transects, resulting in a mean density of 1.74 pups∙kim−2 and an estimated pup production of 1638 (SE = 466). In 1991, a large whelping patch was located to the west of the Magdalen Islands, a second off the coast of Prince Edward Island, and a small patch was later found south of the Magdalen Islands. The two major patches were surveyed, resulting in a pup production estimate of 1564 (SE = 101). During the 1991 surveys, an estimated 71–93% of the pups were on the ice. Correcting for the distribution of births results in a minimum 1991 pup production estimate of 2006 (SE = 190) for the Gulf of St. Lawrence.


Author(s):  
Michael O'Farrell ◽  
William Satterthwaite ◽  
Albert Hendrix ◽  
Michael Mohr

Sacramento River winter-run Chinook salmon are listed under the Endangered Species Act as Endangered and there are substantial efforts to estimate, predict, and limit mortalities at various stages of their life cycle. One such effort is the annual forecast of the number of juvenile winter-run entering the Sacramento-San Joaquin Delta. The natural-origin Juvenile Production Estimate (JPE) is defined as the number of winter-run juveniles produced from natural spawning areas that enter the Delta, and its forecast is used to determine the allowable level of winter-run incidental take at the state and federal pumping facilities located in the south Delta. Current monitoring programs in the Sacramento Basin do not allow for direct estimation of the JPE and thus various methods have been used to forecast this value annually. Here we describe three alternative methods for forecasting the natural-origin JPE. The methods range from the status quo approach (Method 1), which expresses the JPE forecast only as a point estimate, to two other methods that account for forecast uncertainty to various degrees. A comparison of JPE forecasts for 2018 across the three methods indicates that relative to Method 1, Methods 2 and 3 result in lower JPE forecasts, by 24 and 18 percent, respectively, primarily owing to lower forecasts of the fry-to-smolt transition and the smolt survival rate occurring downstream of Red Bluff Diversion Dam. Because post-hoc estimates of juvenile winter-run abundance at the entrance to the Delta do not currently exist, we are unable to evaluate forecast skill among the three methods.


2005 ◽  
Author(s):  
Yan Bai ◽  
Delu Pan ◽  
Wenjiang Guan ◽  
Xianqiang He

Drones ◽  
2021 ◽  
Vol 5 (4) ◽  
pp. 118
Author(s):  
Luciano Ortenzi ◽  
Simona Violino ◽  
Federico Pallottino ◽  
Simone Figorilli ◽  
Simone Vasta ◽  
...  

Background: The present work aims at obtaining an approximate early production estimate of olive orchards used for extra virgin olive oil production by combining image analysis techniques with light drone images acquisition and photogrammetric reconstruction. Methods: In May 2019, an orthophoto was reconstructed through a flight over an olive grove to predict oil production from segmentation of plant canopy surfaces. The orchard was divided into four plots (three considered as training plots and one considered as a test plot). For each olive tree of the considered plot, the leaf surface was assessed by segmenting the orthophoto and counting the pixels belonging to the canopy. At harvesting, the olive production per plant was measured. The canopy radius of the plant (R) was automatically obtained from the pixel classification and the measured production was plotted as a function of R. Results: After applying a k-means-classification to the four plots, two distinct subsets emerged in association with the year of loading (high-production) and unloading. For each plot of the training set the logarithm of the production curves against R were fitted with a linear function considering only four samples (two samples belonging to the loading region and two samples belonging to the unloading one) and the total production estimate was obtained by integrating the exponent of the fitting-curve over R. The three fitting curves obtained were used to estimate the total production of the test plot. The resulting estimate of the total production deviates from the real one by less than 12% in training and less than 18% in tests. Conclusions: The early estimation of the total production based on R extracted by the orthophotos can allow the design of an anti-fraud protocol on the declared production.


2020 ◽  
Vol 14 (04) ◽  
Author(s):  
Marlon Rodrigues ◽  
Marcos Rafael Nanni ◽  
Everson Cezar ◽  
Glaucio Leboso Alemparte Abrantes dos Santos ◽  
Amanda Silveira Reis ◽  
...  

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