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The dataset used to analyze these phenomena consisted of two different bathymetric surveys, a detailed sediment analysis and a set of high-resolution wave numerical simulations, completed with Google Earthimages and RPAS observations. The grain size trend analysis and the numerical simulations allowed ...
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All relevant data in this paper are available at PANGAEA Data Publisher (https://doi.org/10.1594/PANGAEA.965443). Background images for Fig.1are from FESOM2 (Finite-volumE Sea ice–Ocean Model, formulated on unstructured mesh;https://fesom.de/). Extended Data Fig.1uses the Global Multi-...
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a live reference resource site for solar and geomagnetic data and images Please help: Please 'LIKE' this page: Google+ Please share this page: Follow@hfradiospacewxon Twitter Follow@NW7USon Twitter + Gain the on-air edge: This article explains how the ANTENNA is the key! ->Read this int...
Assimilation of LAI and dry biomass data from optical and SAR images into an agro-meteorological model to estimate soybean yield IEEE J. Sel. Top. Appl. Earth Obs. Remote Sens., 9 (6) (2016), pp. 2540-2553 View in ScopusGoogle Scholar Boogaard et al., 2014 H. Boogaard, A. De Wit...
Fletcherview Tropical Rangeland Phenocam Images and Phenology Data Collection (2022) (Dataset) Version 1.0 Google Scholar Clevers et al., 2007 J.G.P.W. Clevers, G.W.A.M. Van der Heijden, S. Verzakov, M.E. Schaepman Estimating grassland biomass using SVM band shaving of hyperspectral data...
By training with a dataset with only 3.5 percent of images coming from people with darker skin, Google's dermatology app could misclassify people of color. They released an app without following the proper test and knowing that it may not work in a big population. People unaware of this issu...