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Lessons learned for statewide water efficiency

Task 1.2 of the MOU requests that we surface lessons learned from our pilot project for statewide water efficiency.  In the four months since launch, we've learned a great deal about water data management best practices to enable water efficiency analytics.  We've also discussed how evapotranspiration, irrigable area and population growth can provide key context to supplement existing statewide reports of urban water use.  There's no statewide repository of irrigable area information and we're working with our "remote sensing brain trust" to scope how to best reconcile that by leveraging freely available NAIP imagery and developing robust accuracy assessments of vendors using proprietary imagery.

Classification of ground cover types from free NAIP imagery. Left shows an unaltered NAIP image with parcel polygon. Right shows the classifier output with colors representing different ground covers. Turfgrass is visible as bright green.

Classification of ground cover types from free NAIP imagery. Left shows an unaltered
NAIP image with parcel polygon. Right shows the classifier output with colors representing different ground covers. Turfgrass is visible as bright green.

Later Event: July 12
Optimizing System Operations