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Quantitative methods to map cumulative human impacts were recently developed and initially applied to marine ecosystems globally2.
Scientists have developed methods to map water bodies using satellite observations — for example, by detecting the characteristic reflectance of sunlight from water.
Wavefront data are expressed in micrometers and referenced to the pupil plane, but current methods to map wavefront error lack standardization.
We employed univariate and hybrid geostatistical methods to map the spatial distribution of soil NO3-N across a landscape in northeast Florida.
Parametric per-pixel supervised (maximum likelihood) classification methods are used in combination with object-based classification methods to map urban features over New York City.
In addition, we review various methods to map RF fields using a B0 gradient along the sample (rotor axis) for imaging purposes.
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We apply this method to map the near-field distribution of nanoslits engraved into gold layers and find an excellent agreement with finite-difference time-domain simulations.
This study presents an innovative, semi-automated method to map cropland acreage from B&W photography.
A basic, general method to map, visualize, and evaluate perception and perceptual values is proposed.
We also develop a method to map the object-relational schema into relational one.
We report on a participatory method to map the presence of fishing communities at-sea.
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