Crop Identification in a Parkland Environment Using Aerial Photography

Crown, P.H.

doi:10.1080/07038992.1979.10854991

Cited by 4 publications

(6 citation statements)

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“…Thus, a mid-season image data appears the best time for using remotely sensed imagery to predict dryland grain yields in southern Saskatchewan. On the Canadian prairies, crops have generally completed vegetative growth and are in the grain-filling period during late July to early August (Crown 1979). During this crop stage, crop ripening differences within a farm field would enhance the differences in band reflectance and thus the separation in NDVI values (Brisco and Brown 1995).…”

Section: Resultsmentioning

confidence: 99%

“…Remote sensing offers numerous advantages over ground surveys because of the potential for more rapid collection of large data sets and the relatively inexpensive cost of data acquisition (Colwell 1983). The estimation of crop productivity from remote sensing data is a two-phase problem requiring (a) correct identification of the crops in a given area and the calculation of their areal extent; and (b) the accurate prediction of crop yield in that area (Crown 1979).…”

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confidence: 99%

“…Spectral information is usually collected with special sensors sensitive to specific wavelengths. However, useful spectral information can also be acquired from digitized colour infrared although the spectral sensitivity of film emulsion and wavelength specific sensors are not equivalent (Crown 1979;Tomer et al 1997).…”

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confidence: 99%

“…There are a number of studies related to the optimal timing for obtaining remote sensing information for identifying and classifying crops (Crown 1979;Brisco and Brown 1995), and developing crop calenders (Crown and Klita 1995) and guidelines for operational crop monitoring (Brown et al 1980). However, few studies have been found in the literature in which the optimal timing of the remote sensing was investigated for predicting crop yields.…”

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confidence: 99%

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Optimal time for remote sensing to relate to crop grain yield on the Canadian prairies

Basnyat¹,

Lafond²,

Moulin³

et al. 2004

Can. J. Plant Sci.

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The optimal time to acquire remote sensing imagery to relate to grain yield has not been thoroughly investigated for the Canadian prairies. Remotely sensed data collected when there is the best relationship with yield should provide useful information on the in-field spatial variability of biophysical factors affecting crop productivity relevant to site-specific management. The correlations of normalized difference vegetation index (NDVI) with grain yield for three dates in 2000 at Indian Head and Swift Current, SK, for field pea, canola, and spring wheat were compared. No single date consistently had the highest NDVI-yield correlation for all crops. The period between Jul. 10 to 30 was optimal to obtain NDVI to relate to grain yield for springseeded crops that typically mature in August. Significant NDVI-yield correlations for this period were confirmed in three additional site-years. In a further site-year, however, NDVI-yield correlation was significant for wheat and pea, but not for canola. Occasional problems relating the NDVI to canola yield were attributed to characteristics of the canola canopy, namely, the highly reflective flowers and the dropping of leaves after flowering. In terms of both magnitude and temporal stability of the NDVI-yield correlation, we ranked the crops as: spring wheat, then pea, and then canola. Key words: Remote sensing; grain yield, field pea, canola, wheat, normalized difference vegetation index

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Section: Resultsmentioning

confidence: 99%

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confidence: 99%

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confidence: 99%

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confidence: 99%

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Optimal time for remote sensing to relate to crop grain yield on the Canadian prairies

Basnyat¹,

Lafond²,

Moulin³

et al. 2004

Can. J. Plant Sci.

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“…In any remote sensing project, especially when visual analyses are invoived the data denved fiom one interpreter may be biased by numerous subjective factors (Crown 1979). These factors include familiarity with the study area, personal preference for one type of imagery over another, ability to discnminate various huedtones or changes in tones, analyst fatigue, image quality variability on cornputer screens, etc.…”

Section: 6 Discussionmentioning

confidence: 99%

Responses of Mountain Caribou to Linear Features in a West-Central Alberta Landscape

Oberg¹,

Rohner²,

Schmiegelow³

2002

Environmental Concerns in Rights-of-Way Management: 7th International Symposium

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The author has granted a nonexclasive licence allowing the National Library of Canada to reproduce, loan, distriiute or sell copies of this thesis in microform, paper or electronic formats. other hear feature data were obtained using road activity sweys, and aerial photographs to determine relative pst-disturbance age of the h e m features.Caribou locations were disûibuted non-randomly arormd streams and roads, with preference increasing as the distance h m these h e m features increased. Caribou avoided streams to a maximum distance of 250 m, and roads to a maximum distance of 500 m. rosuffcient caribou locations occurred arouad active mads for separate analysis, but caribou avoided in-active roads to a distance of 250 m, signaling thai the mechankm for avoidance may be more than a response to increased human activity. There was no significant avoidance or preference by c&bou for seismic lines. However, caribou were 26% more likely to occur around seismic h e s greater than 23 years of age than around more recent hes. The lack of avoidance response by caribou to seismic lines determineci in this study may be attributed to low statistical power, the possible success of current low impact mitigation measures, or to aspects of mountain caribou We history.This study contributes additional evidence that linear features are affecthg woodland caribou distributions and may be leading to fiuictional habitat loss.Management approaches prescribed by current industrial operating guidelines on caribou ranges are discussed and 1 present additional stnitegies for reducing disturbance effects of linear features on montain caribou habitat in west-cenûai Alberta.

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