Spatial Surveyor
Where the map meets the ground
Conventional ecological spatial analysis operates top-down: satellite-derived raster products (NLCD, LANDFIRE EVT, Esri LULC) classify landscapes into categorical pixels at 10–30m resolution, and zonal statistics summarize those pixels within a boundary polygon. This approach is statistically complete but ecologically shallow — a 30m pixel labeled "shrub/scrub" reveals nothing about the species composition, structural heterogeneity, microhabitat variation, or phenological state of the vegetation it represents. SpatialSurvey inverts this paradigm by deploying systematic ground-level 360° imagery transects across a study area, producing a spatially explicit array of georeferenced equirectangular panoramas that document landscape structure at a resolution no orbital sensor can achieve. Each panorama position carries its full ecological address — ecoregion, climate zone, land cover classification, biodiversity observations — enabling direct comparison between what remote sensing classifies and what the ground reveals. A proof-of-concept deployment at the Steele/Burnand Anza-Borrego Desert Research Center (UC NRS, ~88 acres) captured 96 panoramas at 72 megapixels along a 1,536m transect in 44 minutes, traversing creosote-bursage bajada, mesquite bosque, desert wash, and developed facilities. The resulting dataset exposes at least five distinct habitat structures within a property that NLCD classifies as a single land cover type. The prototype integrates a Leaflet satellite map with property boundary overlay, WMS/ImageServer raster classification layers with interactive comparison, an iNaturalist biodiversity summary, and a Pannellum multiRes tile viewer with progressive cube-face loading for sub-second panorama access. SpatialSurvey is designed as a springboard toward a Spatial Analyst instrument within the YEA Labs Macroscope, implementing the "worm's eye view" sampling methodology described in CNL-FN-2026-035 and complementing the existing point-based ecological address paradigm with area-based, ground-truthed spatial analysis.
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