Page 81 - CIWA Water Data Revolution Overview Report
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7)  Name and email of the person within your organization who is responsible for
                       collecting, analyzing, or managing your digital data:




               Section 2: Data - Current and past use of RS data and data products


               RS data refers to space-based, remotely-sensed data (also known as earth observation data).
               Data products refers to platforms, tools, or programs designed to collect, store, manage,
               and/or analyze data (for example, Google Earth Engine). Data used in data products may be
               from remote sensing or other data sources (such as gauges or ground-based observations).

                   1)  Does your organization use RS data?
                              ☐Yes

                              ☐No

                   2)  Does your organization use RS data to characterize or collect information on any of the
                       following variables or water cycle attributes? Please mark all that apply.
                              ☐Precipitation
                              ☐Evapotranspiration
                              ☐Soil moisture
                              ☐Vegetation and land cover
                              ☐Groundwater
                              ☐Surface water
                              ☐Snow and ice
                              ☐Water quality
                              ☐Topography

                   3)  Please list and describe RS data your organization uses (or has used). Please include the
                       following per RS dataset: the variable used; source/provider of the data; the spatial
                       resolution, temporal resolution, and extent of the data provided by the source; website
                       for the data; and a brief description of the cost to access the data.

                       Examples:
                       Variable: Precipitation
                       Source: CHIRPS version 2.0
                       Spatial Resolution: 0.05 degree, 30m x 30m
                       Temporal Resolution: Hourly, daily, monthly, annually
                       Extent of Data from Source: Global, continental, regional, national, basin level

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