Services

Remote sensing & GIS for decision-ready maps—city to global.

  • Satellite image of a mountainous region showing ridges and valleys in colorful topographic elevation.

    Mapping & Visualization

    Clear, publication-quality maps and stakeholder-friendly web views.
    Includes: cartography, figure panels for reports/papers, ArcGIS Online web maps/dashboards.
    Use cases: council packets, public engagement sites, peer-review graphics.
    Typical outputs: print-ready map series, dashboard/web map, style files & export assets.

  • Map of El Paso, TX, showing priority tree planting index with regions shaded in various colors from blue to brown indicating mean ordinal values, with a legend in the lower-left corner and a north arrow in the upper-right corner.

    Data Engineering & Reproducible Pipelines

    Make your spatial analyses repeatable, documented, and easy to hand off.
    Includes: data cleaning/QA, scalable GEE scripts, ArcPy/Python tooling, versioned deliverables, readme docs.
    Use cases: annual re-runs, multi-city rollouts, internal replication.
    Typical outputs: repo or notebook set, parameterized scripts, sample data, runbook.

  • A detailed map showing the annual NDVI trend of a city, with a color legend from -0.05 (red) to 0.005 (green), and a scale bar indicating distance in kilometers. The map includes a north arrow for orientation.

    Remote Sensing & Time-Series Analytics

    Turn satellite archives into defensible trends and classifications.
    Includes: Landsat (1985–present), Sentinel-2, NAIP, NLCD/LCMS; NDVI, LST, drought/water balance; change detection & accuracy assessment.
    Use cases: long-run greenness/heat trends, vegetative cooling diagnostics, invasive species mapping, urbanization monitoring.
    Typical outputs: maps + brief, GeoTIFF/GeoPackage, optional web map, GEE/Python/ArcGIS notebooks.

Construction site with a yellow steel framework building under construction and a crane in the background against a clear blue sky.

Market & Site Selection (Trade Area Analytics)

Turn “where should we open next?” into a defensible, map-driven decision. I combine demographics, mobility, and competitive context to identify, score, and rank locations with clear trade-area logic and documented methods.

Includes: drive-time/walk-time isochrones; demographic & income profiles (ACS); daytime population & employment; consumer spend proxies; competitor/POI mapping; gravity/Huff models; cannibalization checks; multi-criteria suitability scoring; scenario testing (A/B sites, different formats); zoning/parcel filters (where available); option to integrate mobile foot-traffic data and lease lists.

Use cases: new store/clinic rollout; relocation studies; franchise territory validation; service-area planning for delivery or in-home services; lender/investor due diligence; ad geotargeting & catchment definition.

Typical outputs: ranked candidate list with scores; one-page scorecards for top sites; annotated map series (rings/isochrones, competition, white-space); interactive web map/dashboard; methods brief with assumptions & data sources; reproducible scripts/notebooks for reruns.

Options: quarterly refresh for new markets; custom “next-site” tool tailored to your brand criteria; executive slide deck for board or landlord packages.

Bar graph comparing NDVI, LST, and vegetative cooling by biome, and by Köppen climate classification, with error bars and statistically significant differences marked with letters.

Custom Urban Remote Sensing (On-Request)

Bring me your question; I’ll design the analysis. From heat vulnerability to tree-canopy gaps, roof solar suitability, flood exposure, or before/after change mapping, I build targeted, defensible studies that turn pixels into decisions for cities, utilities, NGOs, and consultancies.

Includes: problem scoping; data audit & sourcing (Landsat, Sentinel-2, NAIP, VIIRS night lights, NLCD/LCMS, building footprints/OSM, parcel/census layers; optional Planet/Maxar if provided); preprocessing (cloud masking, BRDF/topo correction, co-registration); spectral indices (NDVI, NDWI, NDBI, LST), object/segmentation or supervised classification; accuracy assessment; uncertainty notes; cartographic and stakeholder-ready outputs.

Use cases: urban heat island & cooling strategy; canopy & impervious inventories; growth/land-use change; post-disaster damage & debris footprints; vacant-lot/blight screening; flood/ponding susceptibility; transportation corridor monitoring; roof/parking solar potential; park access & greenness equity.

Typical outputs: GeoTIFF/COG rasters; GeoPackage feature layers; interactive web map/dashboard; citywide and neighborhood scorecards; methods brief with data lineage & reproducible notebook (GEE/Python/QGIS) for reruns.

Options: multi-temporal trend analysis (1980s–present); mobile foot-traffic overlay; parcel joins for permitting/outreach lists; quarterly refresh; graphics pack for reports & council presentations.

Kickoff: You share AOI, timeframe, decisions you need to support, and preferred deliverable format; I return a fixed-scope proposal with timeline and fee.