About TerraSpatial
Empowering geomatics engineers, remote sensing scientists, and renewable energy planners with open-access, zero-telemetry, client-side computational tools.
Engineering Mission & Principles
TerraSpatial was founded to resolve a critical operational challenge in modern spatial data science: the fragmentation of authoritative geodetic, remote sensing, and renewable energy calculation tools. Practitioners frequently switch between unverified web converters, proprietary GIS desktop applications, and fragmented Python scripts to execute fundamental day-to-day calculations.
Our platform bridges this gap by unifying three core geospatial disciplines into an integrated, 100% static client-side web application deployed on high-performance edge infrastructure:
- Coordinate Reference Systems & Geodesy (/crs/): Providing millimeter-accurate forward and inverse Transverse Mercator projections, Helmert datum transformations, and standard-compliant OGC GeoJSON polygon generators.
- Earth Observation & Spectral Indices (/spectral/): Translating multi-sensor satellite imagery (Copernicus Sentinel-2 MSI and USGS Landsat 8-9 OLI) into physical surface interpretations, incorporating state-of-the-art soil sealing indices and aerial photogrammetric resolution models.
- Spatial Solar Energy & Rooftop PV (/solar/): Modeling topocentric astronomical solar geometry, optimal seasonal collector tilt angles, and municipal rooftop solar capacity adhering to international IEC 61724 standards.
Scientific Foundations & Reference Literature
All mathematical formulations, band combinations, and empirical thresholds implemented across TerraSpatial are derived directly from published peer-reviewed geomatics and remote sensing literature:
Sealed Urban Index (SUI) Formulation
The Sealed Urban Index formula implemented in our Spectral Index Calculator addresses the long-standing challenge of separating dry bare agricultural soil from artificial impervious surfaces (soil sealing) across multi-temporal satellite imagery.
SUI = ((Green - SWIR1) * (SWIR2 - Red)) / ((Green + SWIR1) * (SWIR2 + Red)) + 0.5
Reference: Copernicus Sentinel-2 and USGS Landsat-8/9 Surface Reflectance Specifications; European Environment Agency (EEA) Soil Sealing Methodologies.
Photovoltaic Yield Modeling & Grid Integration
Our rooftop capacity models, orientation transpositions, and performance ratio derating algorithms follow the international IEC 61724 standard for photovoltaic system performance and empirical validation methodologies established by the European Commission Joint Research Centre (JRC PVGIS) and the National Renewable Energy Laboratory (NREL).
Reference: IEC 61724-1: Photovoltaic system performance monitoring: Guidelines for measurement, data exchange and analysis; European Commission JRC PVGIS Technical Guidelines.
Geodetic Projections & Transverse Mercator Math
Universal Transverse Mercator coordinate transformations, meridian arc series, and conformal mapping equations follow the rigorous Krüger series expansions and Karney algorithms incorporated within the EPSG Geodetic Parameter Registry and open-source Proj library.
Reference: C.F.F. Karney, "Transverse Mercator with an accuracy of a few nanometers", Journal of Geodesy, 85(8), 475-485, 2011.
Commitment to Client-Side Privacy & Zero Telemetry
In geospatial engineering, data confidentiality is paramount. Field surveyors, defense contractors, environmental researchers, and private energy developers work with proprietary coordinates, high-resolution cadastral boundaries, and critical infrastructure locations.
TerraSpatial enforces an absolute zero-telemetry architecture. All mathematical operations execute exclusively within your browser's local sandbox memory. No user inputs, coordinate pairs, polygon vertices, or calculation outputs are logged, tracked, transmitted, or stored on external servers.