Scientific datasets produced by earth observations systems are widely used to monitor and model physical, chemical, and biological phenomena at a local, regional, and global scale over ocean, atmosphere, or land. Traditionally, these multivariate, multidimensional raster datasets, often delivered in specialized formats such as NetCDF, GRIB, and HDF, have traditionally been complex to manage. Esri ArcGIS software now provides scientists, analysts and researchers with new tools to easily organize, store, visualize, analyze, and share multidimensional raster datasets. This workshop presents an overview of ArcGIS scientific data tools and workflows that simplifies the management, analysis and sharing of your multidimensional scientific data.
You will learn how to manage large collections of scientific data using ArcGIS. You will also learn how recent improvements in ArcGIS make it easier to analyze, visualize and process multivariate, multidimensional datasets. You will observe how to build and use raster models that dynamically generates analytical results that can be shared as a multidimensional image service.
After this workshop, you will understand how to use ArcGIS to:

A. Construct a mosaic dataset for multivariate, multidimensional rasters.
B. Derive information products from multidimensional mosaic datasets.
C. Publish and share a multidimensional image service.
D. Visualize dynamic services in the ArcGIS Online map viewer