GIS Expert for Pool-Owners Identification
Budget: $250 – $500 USD
Title: GIS / Remote Sensing Specialist – Identify Homes with Pools + Map + Address List (North County San Diego, CA)
Description:
I am a local service business owner looking to build a highly targeted prospect list of residential homes with swimming pools.
Project Scope:
- Identify residential properties with swimming pools using aerial/satellite imagery and GIS tools
- Focus area: North County San Diego, CA (including Carlsbad, San Marcos, Encinitas, Vista, Oceanside, and surrounding areas)
- Match detected pools to parcel/address data
- Deliver both a mapped dataset and a spreadsheet for outreach
There are roughly 30,000 pools in this area.
Deliverables:
1. Spreadsheet (Excel or Google Sheets) including:
- Property address
- City
- Optional: homeowner name (if available)
- Optional (lower priority): phone number and/or email (if available and legally sourced)
- Confidence level (high / medium / low)
2. Interactive Map (one of the following):
- Google My Maps
- or ArcGIS Online map
- or shareable map link with pins for each property
3. (Optional but preferred):
- Ability to filter or group properties by neighborhood or density clusters
Requirements:
- Experience with GIS tools (QGIS, ArcGIS, or similar)
- Experience with aerial imagery analysis / remote sensing
- Ability to match imagery features to parcel/address datasets
- Experience creating shareable maps
Important:
- Do NOT use generic or resold mailing lists
- Do NOT scrape Zillow or similar listing sites
- Data should be derived from imagery + GIS + parcel data (or equivalent method you can clearly explain)
Budget:
- Up to $500 (fixed price)
Goal:
I want a custom, high-quality dataset specific to my service area that is not widely sold to competitors, and that I can visually use to plan routes and outreach.
When applying, please include:
1. Your approach to detecting pools (manual, automated, or hybrid)
2. Tools and data sources you will use
3. Estimated accuracy
4. Estimated number of addresses you expect to deliver
5. Example of a map or similar project (if available)
Bonus:
If you can group properties into high-density clusters or suggest route-friendly groupings, please mention that.
Description:
I am a local service business owner looking to build a highly targeted prospect list of residential homes with swimming pools.
Project Scope:
- Identify residential properties with swimming pools using aerial/satellite imagery and GIS tools
- Focus area: North County San Diego, CA (including Carlsbad, San Marcos, Encinitas, Vista, Oceanside, and surrounding areas)
- Match detected pools to parcel/address data
- Deliver both a mapped dataset and a spreadsheet for outreach
There are roughly 30,000 pools in this area.
Deliverables:
1. Spreadsheet (Excel or Google Sheets) including:
- Property address
- City
- Optional: homeowner name (if available)
- Optional (lower priority): phone number and/or email (if available and legally sourced)
- Confidence level (high / medium / low)
2. Interactive Map (one of the following):
- Google My Maps
- or ArcGIS Online map
- or shareable map link with pins for each property
3. (Optional but preferred):
- Ability to filter or group properties by neighborhood or density clusters
Requirements:
- Experience with GIS tools (QGIS, ArcGIS, or similar)
- Experience with aerial imagery analysis / remote sensing
- Ability to match imagery features to parcel/address datasets
- Experience creating shareable maps
Important:
- Do NOT use generic or resold mailing lists
- Do NOT scrape Zillow or similar listing sites
- Data should be derived from imagery + GIS + parcel data (or equivalent method you can clearly explain)
Budget:
- Up to $500 (fixed price)
Goal:
I want a custom, high-quality dataset specific to my service area that is not widely sold to competitors, and that I can visually use to plan routes and outreach.
When applying, please include:
1. Your approach to detecting pools (manual, automated, or hybrid)
2. Tools and data sources you will use
3. Estimated accuracy
4. Estimated number of addresses you expect to deliver
5. Example of a map or similar project (if available)
Bonus:
If you can group properties into high-density clusters or suggest route-friendly groupings, please mention that.