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In this respect, firstly gravity anomaly map was evaluated and then 3 km upward continued map was prepared.
The resultant paddy rice map was evaluated with in-situ ground-truth data and Google Earth images.
The accuracy of the map was evaluated by various techniques, including the area under the curve, success rate and prediction rate.
The extrapolated map was evaluated in a small portion of the study area (area ≈ 4 km2) where similar high-resolution gamma radiometric data were available.
The influence of the hydrological conditions on the resulting SL map was evaluated by analyzing twelve sets of images, which were selected to span the whole period and different time frames according to multiannual dry and wet periods and to relative water level within each period.
The quality of this genetic map was evaluated by heat maps which directly reflected recombination relationships among markers in seven linkage groups (Additional file 5).
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The nuclear heating in divertor and inboard toroidal field (TF) coils and a global neutron flux map were evaluated.
The population is conceptualized as a difference map created by overlaying a complete coverage reference classification and the target map being evaluated.
In this case the images will be filtered to only include events with PI=30 200, the exposure map is evaluated at 1.1 keV, and a bin size of 16 (rather than the default 32) is used.
The quality of the icing map is evaluated for the two years and compared to the 10 years average by using measurements of 165 meteorological stations in the Swiss Alps.
Based on the qualitative studies, the influencing factors on the landslide susceptibility map were evaluated to select positive factors and to improve the prediction accuracy of the landslide susceptibility map.
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