Precog Geo Hosting

Secure Geospatial Data Hosting, Processing, and Delivery

Precog Geospatial provides hosted infrastructure for processing, managing, reviewing, and delivering large imagery and elevation datasets.

Our environment combines scalable processing resources, high-capacity storage, workflow automation, geospatial software, controlled data transfer, and customer-accessible review tools.

The hosting environment supports the complete geospatial production lifecycle, from source-data intake through automated processing, QA/QC, customer review, acceptance, and final delivery. Resources are planned around each project's data volume, geographic extent, processing complexity, delivery schedule, security requirements, quality thresholds, and acceptance criteria.

hosting

A Controlled Path from Raw Data to Delivery

Precog Geospatial uses a structured workflow to protect data integrity and maintain visibility throughout production.

Raw Data Processing Automation QA/QC Data Management Delivery
  1. 01

    Secure Data Intake

    Acquisition partners and authorized customers upload source data through controlled transfer methods such as SFTP.

  2. 02

    Automated Ingestion and Processing

    Source data is ingested into the processing environment, where configured workflows perform the required geospatial processing.

  3. 03

    Quality Review and Validation

    Processed imagery and supporting deliverables are staged in a separate delivery environment for automated and human QA/QC.

  4. 04

    Customer Sandbox Review

    Authorized customers can inspect deliverables, metadata, and quality records before accepting or transferring very large datasets.

  5. 05

    Final Delivery

    Accepted data can be delivered according to project requirements through electronic transfer, SFTP, physical media, hosted access, or other approved methods.

GOATS Workflow Automation

Precog Geospatial's Geospatial Ortho Automation Tool Set (GOATS) provides a common operational layer for managing data-intensive geospatial production.

GOATS supports task definition, workflow execution, production monitoring, workload coordination, exception handling, quality control, and repeatable delivery processes.

Rather than treating processing, quality control, project status, and delivery as isolated activities, GOATS brings them together within a controlled production workflow.

Workflow capabilities may include:

  • Imagery ingestion and preparation
  • Orthorectification and imagery processing
  • Distributed or parallel processing
  • Data validation
  • Metadata generation
  • Automated QA/QC
  • Production and status monitoring
  • Delivery management
  • Collaborative access for analysts, technicians, managers, and customer stakeholders

Customer Review Before Large-Scale Transfer

Review large geospatial deliverables before committing resources to final transfer.

Moving very large geospatial datasets into customer-managed infrastructure can consume substantial time and resources. Precog Geospatial addresses this challenge by providing a hosted sandbox where authorized customer personnel can review data, deliverables, metadata, and quality-control reports before final acceptance and transfer.

The hosted review environment allows customers to:

  • Examine deliverables against project requirements
  • Perform additional QA/QC
  • Identify discrepancies before final transfer
  • Review metadata and supporting quality records
  • Begin using hosted geospatial information without waiting for transfer of an entire dataset
  • Reduce the risk and expense associated with transferring incomplete or unaccepted deliverables

Standards-Based Geospatial Access

Accepted datasets may remain available through secure, standards-based geospatial web services powered by GeoServer.

Depending on project requirements, authorized users may visualize, query, and consume hosted geospatial information through Open Geospatial Consortium services.

WMS

Web Map Service

WMTS

Web Map Tile Service

WFS

Web Feature Service

WCS

Web Coverage Service

These interoperable services can support integration with GIS applications, web-mapping environments, and enterprise geospatial systems without requiring an immediate bulk transfer of the complete dataset.

Data Integrity, Storage, and Backup

Precog Geospatial's documented workflow separates source data from processed delivery data. Raw source data is maintained in a designated storage pool, while processed products are staged in a separate delivery pool for validation and customer review.

Project-specific requirements govern authorization, transmission, storage, backup, retention, return, and disposition.

Before release, Precog verifies deliverable completeness, internal consistency, file format, coordinate-reference information, metadata, and transfer integrity.

ZFS-Based Storage Environment

  • Weekly backup of raw-data storage
  • Nightly backup of delivery-data storage
  • Off-site backup to a separate ZFS storage pool
  • User profiles that restrict dataset access to authorized personnel

Security Aligned to Project Requirements

Security requirements are established against the needs and contractual requirements of each individual project.

Precog Geospatial applies the access, storage, transmission, retention, incident-reporting, and data-disposition requirements defined for each engagement. Government-furnished, controlled, or otherwise restricted information is identified before processing begins.

When a project requires a particular authorization or security-control framework, Precog addresses that requirement through documented existing capability, an approved service environment, a qualified partner, or another contractually acceptable method.

The applicable controls and hosting architecture are established against the actual contractual requirements of each project.

Scalable, Project-Specific Capacity

Precog evaluates each project before establishing the hosting and processing configuration.

Capacity can be scaled through modular workflows, additional compute and storage resources, workload planning, and qualified personnel.

Precog remains accountable for contract performance and deliverable acceptance when external hosting, software, data, or specialist resources are incorporated into the solution.

Planning factors include:

  • Data volume and geographic coverage
  • Source-data characteristics
  • Required processing methods
  • Compute and storage requirements
  • Processing and delivery schedule
  • Security constraints
  • Quality thresholds
  • Customer review and acceptance criteria

Designed for Government and Commercial Geospatial Programs

Precog's hosted environment is designed to support data-intensive Earth observation and remote-sensing work.

  • Large-area orthorectified imagery
  • Aerial imagery and elevation-data processing
  • Basemap and mosaic production
  • Geospatial data management
  • Automated production and quality-control workflows
  • Metadata and delivery-package preparation
  • Hosted customer-review environments
  • Standards-based geospatial data access

The specific architecture, security controls, service levels, retention rules, and delivery methods are defined for each project.

Plan Your Geospatial Hosting and Delivery Environment

Every geospatial program has different requirements for data volume, processing, security, review, retention, and delivery.

Precog Geospatial can configure a project-specific environment that supports controlled data intake, automated processing, documented QA/QC, customer review, and standards-based delivery.

Tell us about your source data, geographic coverage, required products, delivery schedule, security conditions, and acceptance requirements.