With the roll out of the new water conservation framework under legislation SB 606 and AB 1668, the call to action by California’s urban water purveyors is immediate. The complexities behind understanding, implementing, and maintaining compliance with the new state mandates moves water agencies to reexamine current water use behaviors and launch innovative new water management strategies. In response to the new state standards, Eagle Aerial Solutions, with the input of CalWEP and its members, developed WaterViewTM, a data management system, integrated with GIS technologies that mirror the legislative requirements and allows for in-depth data mining and analytical querying by water managers.
This webinar will take a closer look at how the platform can help agencies spot water use trends, track and manage “over-allocation” users within a service area, and identify targeted land classification types like high turf areas for effective rebating and even drought management. Eagle will demonstrate how tools in WaterView have been designed to help identify specific cohorts of customers based on water use behavior and how the effectiveness of targeted outreach campaigns can be assessed.
As a Project Manager at Eagle Aerial Solutions, Jazmine’s main focus has been on GIS based web solutions for water management and conservation purposes. Jazmine oversees the coordination of Eagle’s efforts in connection with the state-wide, residential Landscape Area Management (LAM) project conducted on behalf of State of California’s Department of Water Resources. In parallel, Jazmine oversaw the research, design, and development of a GIS based water conservation software platform, “WaterViewTM”, a data management system, integrated with GIS technologies that mirror the legislative requirements and allows for in-depth data mining and analytical querying by water managers. Other relevant projects include extensive land cover mapping and forest vegetation classification. Here Jazmine managed technical teams that created forest type maps, focused on the distribution of forest type, size and density of the vegetation across the client’s ownership. For these projects, a custom forest classification schema was created utilizing 4-band imagery, LiDAR and additional data collected in the field to delineate the forest and land cover types.