Data-Science-on-Geospatial-Data

Procuring and Reading Geospatial Data

The Copernicus Data Store (CDS) is a one stop shop for a wide range of historical and real time geospatial data from various remote sensing and on-the-ground weather observations. The CDS API allows for programmatic access to this data store. This API is used to obtain the following data from the ERA5-Land Hourly Reanalysis Dataset. The section in square brackets refers to the specifics of the download -

• Temperature of air at 2m above the surface - [2m Temperature - 2019 - December - 12:00 - Whole Available Region - NetCDF]
• Total precipitation - [Total Precipitation - 2019 - December -12:00 - Whole Available Region - NetCDF]
• Volumetric soil water layer 1 - [Volumetric soil water layer 1 - 2019 - December - 12:00 - Whole Available Region - NetCDF]

Useful Links :

• https://cds.climate.copernicus.eu/api-how-to
• https://cds.climate.copernicus.eu/cdsapp#!/dataset/reanalysis-era5-land?tab=overview

Deep Learning on Geospatial Data

The following notebook is an approach to design a neural network to predict the [Total Precipitation] from the two input variables [Temperature of air at 2m above the surface, Volumetric soil water layer 1].