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Google earth engine, open-access satellite data, and machine learning in support of large-area probabilistic wetland mapping... Converting our wetland probability-of-occurrence model into a binary Wet-Dry classification yielded an overall accuracy of 85%, which is virtually identical to that derived from the Alberta Merged Wetland Inventory (AMWI): the contemporary inventory...
général - core.ac.uk - PDF: doaj.org
Precipitation observation using microwave backhaul links in the alpine and pre-alpine region of southern germany... After, the wet/dry classification rain rates are derived from the RSL and compared to rain gauge and weather radar measurements....
 PDF: core.ac.uk
On the capacity of continuous powder classification in a gas-fluidized bed with horizontal sieve-like baffles... This may be utilized to devise a new process for dry classification of particles according to size or density....
Rainfall measurement using cell phone links : classification of wet and dry periods using geostationary satellites... Results clearly improve upon the case when no wet–dry classification is applied and thus the method shows potential for application to large areas of the world where the other methods cannot be applied
Study on the wet-dry classification of annual runoff in biliuhe reservoirAbstract.The reasonable wet-dry classification of annual runoff has the guiding significance for the rational development and utilization of water resources....

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