Unified SaaS Platform for Geospatial Data Fusion
Find Innovative SolutionsGenerate Solutions
Solution Overview
Problem
Existing software programs fail to effectively combine and analyze diverse geospatial data sources, such as satellite images, video content, and GIS data, limiting analysts' ability to access and synthesize information from various sources.
Innovation Solution
A cloud-based SaaS platform that allows users to ingest, discover, and exploit geospatial data, including imagery and full-motion video, in a collaborative environment, enabling search and discovery of geo-catalogued data, and displaying geographically indexed video and satellite images in a common framework for comparison and synthesis.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Adaptability or versatility
If multiple disparate software programs are used to manage different geospatial data types, then specialized analysis capabilities are maintained, but system complexity and difficulty of integrating diverse data sources increases
Solution Approach 1:
The patent combines multiple previously separate software capabilities into a single unified geospatial platform. It integrates satellite imagery analysis, video data processing, and GIS data management into one system that can handle all three data types simultaneously, eliminating the need for multiple disparate programs while maintaining specialized analysis capabilities for each data type.
Solution Approach 2:
The geospatial platform is designed with universal functionality to process and analyze multiple types of geospatial data (satellite imagery, video, GIS) through a common architecture. The system provides a unified interface and common analysis tools that work across all data types, making the platform adaptable to diverse analytical needs without requiring separate specialized software for each data type.
2Reliability
If separate software solutions are used for different geospatial data types, then each data type can be processed with specialized tools, but the ability to synthesize and compare information from multiple sources deteriorates
Solution Approach 1:
The platform merges previously separate analysis capabilities for satellite imagery, video, and GIS data into a unified system. This allows analysts to simultaneously access and synthesize information from all three data types within a single interface, enabling comprehensive comparison and correlation of geospatial information that was previously impossible with separate software solutions.
Solution Approach 2:
The system introduces a common geospatial framework that acts as an intermediary between different data types. This framework provides standardized methods for ingesting, storing, and analyzing diverse geospatial data, enabling seamless integration and synthesis of information from satellite imagery, video, and GIS sources while maintaining the specialized analysis capabilities needed for each data type.
3Ease of operation
If traditional software programs are used for geospatial analysis, then individual data sources can be accessed, but collaborative workflows and convenient access to multiple data sources simultaneously deteriorates
Solution Approach 1:
The system combines multiple data source access points into a single unified interface that allows simultaneous viewing and analysis of satellite imagery, video, and GIS data. This integration enables collaborative workflows where multiple users can access and analyze diverse geospatial data together in real-time, significantly improving productivity compared to switching between separate software programs.
Solution Approach 2:
The geospatial platform provides universal access to all types of geospatial data through a common interface and workflow system. Multiple users can simultaneously access different data types within the same project context, enabling efficient collaborative analysis and exploitation workflows that were not possible with traditional separate software solutions.
Data Source
AI summary
A technique of managing geospatial data includes receiving, by a SaaS (Software as a Service) application hosted from a server, a search query from a client, the search query specifying a geographical range. In response to receiving the search query, the technique further includes identifying multiple search results corresponding to the specified geographical range, the search results including a set of still images of the specified geographical range, a set of full-motion videos of the specified geographical range, and a set of GIS (Geographical Information System) data that pertains to the specified geographical range. In response to a request from the client, the technique further includes storing at least some of the search results in a workspace of the SaaS application, the workspace shared among multiple users of the SaaS application and enabling online collaboration among the users to accomplish geospatial exploitation workflows that fuse multiple data sources.