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WIMS Remote Sensing Needs and Applications Brainstorming Session – Group 2

WIMS Remote Sensing Needs and Applications Brainstorming Session – Group 2. January 16, 2018. Most important water-related data gaps. Consumptive use & ET data across the entire state ET data currently only available for select basins with inconsistencies between basins

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WIMS Remote Sensing Needs and Applications Brainstorming Session – Group 2

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  1. WIMS Remote Sensing Needs and Applications Brainstorming Session – Group 2 January 16, 2018

  2. Most important water-related data gaps • Consumptive use & ET data across the entire state • ET data currently only available for select basins with inconsistencies between basins • High resolution soil moisture • Channel geometries and available water storage • Reservoir levels • High resolution elevation datasets and lidar applications to complement spectroscopy data (“high enough resolution to see below sagebrush”) • In Wyoming, existing infrastructure is not even that well known – many diversions are privately owned

  3. Recommendations to improve data services from NASA and other agencies • Websites should be easy for a new user to figure out • Pre-canned or pre-processed data would be helpful (eg classified NVDI) especially for those agencies who don’t have a resident remote sensing/GIS expert. Also helpful to group data by season • Provide data in multiple formats for a range of users • Outreach and Education! • Case studies and examples of how other people are already using the data. Examples should be easy to follow AND easy to find on the website • Include how/where to get the data • Videos are okay but nice to have a short but easy to follow document to refer back to (eg 2 page primer) • In-person training offerings are very appreciated • Website unreliability is a turnoff for users • Eg: Goddard’s Giovanni website (https://giovanni.gsfc.nasa.gov/ ) provides great data but website periodically seems to be unavailable or not working properly

  4. General comments: • Common tools used by the group: ArcGIS, Python, R, Google Earth Engine • Most group members agreed that open source applications are better • Some concerns about long term availability and support of Google Earth Engine, especially for research vs non-research • NASA Early Adopters programs are a good idea (get users involved early and increases chances of long term use)

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