Amy Volckens, one of Riverside’s water resource engineers, will be attending the Colorado Association of Stormwater and Floodplain Managers (CASFM) annual conference in Vail, Colorado. For more information on the conference, check out their website. This promises to be an exciting conference looking back on the September 2013 flooding in the Colorado Front Range, and looking forward to new technologies.
Jason Polly will be giving a presentation at the GIS in the Rockies conference coming up next week. Jason’s talk will be on September 24 at 2:00 in the Mesa Room at Fairfield Inn.
This conference is a great chance for the geo-spacial community in Colorado to exchange ideas and network. Jason will be presenting on several of Riverside’s recent projects and how we have used remote sensing to find solutions for our clients.
Here is the abstract for Jason’s talk.
Data-driven decisions require sufficient spatial and temporal coverage for appropriate implementation. While telemetry-based data collection methods provide accurate point observations, the cost and maintenance of implementing these solutions, coupled with periods of missing records, can minimize the return value provided. An alternate solution is the integration of remotely-sensed satellite observations. Water supply and consumptive use are two applications where satellite imagery can provide value to users. This presentation will highlight the range of remote sensing solutions that Riverside has implemented for clients in the water sector, including: urban irrigation assessments, crop consumptive use estimation, and snowpack characterization for water supply assessments.
Urban irrigation assessments are important for determining residential consumptive use and for estimating return flows. Riverside uses high-resolution commercial imagery to classify irrigated vegetation and estimate return flows.
Estimating crop water consumptive use is an essential component of effective water resources planning and management. Accurate estimates of actual consumptive use (CU) are needed to produce water demand forecasts, to facilitate sound water rights administration, and to help make critical water regulation decisions. Remotely-sensed data provide a range of enhancements over conventional coefficient based methods.
Snowpack estimates and associated seasonal water supply volumes are needed by reservoir operators to assess filling and spilling probabilities based on current storage conditions. Remotely-sensed snow water equivalent and extent of snow cover products help to provide information, particularly in areas with sparse station networks.
For more details on the conference, check out their website. Hope to see you there!