Hey everyone, I’m working on sourcing SB 721 leads across Southern California \u2014 specifically trying to identify multifamily buildings with exterior elevated elements like balconies, exterior walkways, and deck structures. The problem I’m running into is that to properly pre-qualify these buildings visually before burning skip trace credits, I really need oblique imagery \u2014 the angled aerial photography that actually shows you the side of a building rather than just the rooftop. Platforms like Nearmap and Pictometry are the gold standard for this but the licensing cost for regional coverage across LA, Orange, Ventura, and San Bernardino counties is running $10,000\u2013$25,000, which doesn’t make sense for a lead generation use case. I’ve already tried Google Street View and Google Maps 45\u00b0 imagery and coverage is way too patchy \u2014 especially on the secondary and tertiary streets where most of the 3\u20138 unit wood-frame stock from the 1960s\u201380s actually sits, which is exactly the inventory I’m targeting. The core problem is that county assessor data and property APIs can confirm unit count and ownership, but nothing in my current stack can tell me whether a building actually has qualifying EEEs without someone physically driving by or paying for imagery I can’t justify at this stage. Does anyone know of alternatives \u2014 whether that’s a lower-cost oblique imagery provider, a per-area-of-interest pricing model, AI tools that can classify building features from whatever imagery is available, or any other creative approach people have used to visually pre-qualify multifamily buildings for EEE identification at scale in SoCal? Also \u2014 long shot but if anyone has an existing Nearmap or Pictometry subscription they’re not fully utilizing and would be open to sharing access or credentials, I’d love to work something out. Happy to compensate or collaborate. Any direction at all would be really appreciated.<\/p>\n<\/div>\n
submitted by \/u\/Prestigious-Tip927 <\/a>
[link]<\/a><\/span> [comments]<\/a><\/span><\/p>
